NeoGeo, a Gurugram-based geospatial technology startup, has raised $20 million in a Series A round co-led by Neev II Fund and Aavishkaar Capital, the investment arm of the Aavishkaar Group. No other investors were named, and valuation, dilution, and board composition have not been disclosed.

The company said it will use the funds to expand its platform and product portfolio through R&D, enter international markets across the Middle East and the Americas, and strengthen its team. It is a large step up from NeoGeo’s only prior disclosed round, a roughly $1.55 million seed in December 2024 — more than tenfold what it had raised before.

Founded in 2019 by Sreeramam GV, NeoGeo describes itself as a full-stack geospatial system integrator spanning data acquisition through satellite imagery, LiDAR, drones and ground surveys, through to AI/ML analytics and industry software under platforms including OptiFleet, GeoBalance, UrbanVista and InfraSync. The company says it has executed more than 200 projects, mapped over 5 lakh sq km, and manages more than 550 CORS stations, figures that are company-stated.

Also Read: Tenet Diagnostics Lands $30M From Tata Capital, Blue Earth

NeoGeo sits in the middle of the geospatial value chain rather than at either end: it neither owns a satellite constellation nor simply resells mapping software, instead stitching acquisition, processing and analytics into decision-ready outputs for governments and enterprises. Its revenue today is largely project-based, and its CORS network adds an infrastructure layer that can carry ongoing service revenue rather than one-off project fees — but delivery capacity and recurring software revenue are different economics, and the Series A is really a bet on turning the former into the latter.

That transition is unproven. India’s geospatial demand leans heavily on government and public-sector buyers, which is durable but slow-paying and tender-driven, and does not obviously translate to the Middle East and the Americas that NeoGeo now plans to enter. It also competes with better-funded, satellite-owning Earth-observation names such as SatSure and Pixxel. NeoGeo’s edge is breadth across the value chain; the risk is that breadth is expensive to sustain on a single large round without recurring revenue to show for it before the next one.

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Tenet Diagnostics has raised approximately $30 million from Tata Capital Healthcare Fund III and Blue Earth Capital, a Switzerland-based impact investor. The equity stake, valuation, and split between the two investors have not been disclosed, and no board changes have been stated.

The capital flows into Tenet Medcorp Private Limited, which trades as Tenet Diagnostics. Talks between the two sides were first reported in March 2026, making this a five-month process from disclosure to close, and the deal is among the first investments from Tata Capital’s third healthcare fund since its first close earlier this year. The company said the money will help it deepen its footprint across India and expand access to diagnostics.

Founded in 2016 by Hanumantha Rao Ch, Surendranath C, Vinod P Nair, and Ram Pap Rao A, Tenet now runs a network of pathology and radiology centres across Telangana, Andhra Pradesh, Karnataka, Maharashtra, Bihar, Uttar Pradesh, Jharkhand and Odisha, offering imaging, lab testing, cardiology and neurology services including MRI, CT, PET-CT and mammography. The most recent public financials are from September 2023, when the company reported 100% year-on-year turnover growth and expected to cross ₹150 crore that year across 25 locations in eight states; no revenue or centre count has been published since.

Diagnostics is a capital business dressed as a services one. Pathology labs are cheap to open, but an MRI or PET-CT machine costs several crore and needs a shielded room and a radiologist, which is why profitability in the category is a question of utilisation rather than pricing. Tenet’s expansion into states like Bihar, Jharkhand and Odisha, where advanced imaging is thin, is a bet that being early with a PET-CT in an underserved district is a durable edge, since the next operator into that market faces the same equipment bill against a smaller share of demand.

The investor pairing is worth reading closely: Blue Earth Capital is a limited partner in Tata Capital’s healthcare fund rather than an independent co-investor, and the two firms have structured a round this way before, in a $9 million investment into Apex Kidney Care in early 2025. Three years without an updated revenue figure means Tenet is being priced against a target rather than a result.

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Traditional search engines are no longer the sole gatekeepers of digital visibility. Today, consumers rely heavily on answer engines like ChatGPT, Perplexity, and Google’s AI Overviews to make purchasing decisions. If your brand is not appearing in these conversational answers, your digital presence is essentially invisible.

This shift has made traditional optimization techniques insufficient on their own. Businesses must now adopt specialized GEO services to ensure they remain relevant.

To fix invisible brand mentions, you need targeted strategies that align with how artificial intelligence processes data. This blog explores critical GEO services that can secure your brand’s position in the AI-first era.

Core GEO Services That Improve AI Search Visibility

Here are the core GEO services that help improve your brand’s visibility, credibility, and discoverability across AI-powered search platforms:

1. AI-crawlable Content Audits and Optimization

AI engines do not read content the way human users or traditional search crawlers do. They scan for factual integrity, structural clarity, and direct answers to complex user queries.

A foundational component of GEO services is a comprehensive content audit tailored specifically for generative models. This process reviews your existing digital assets to ensure they possess an AI-friendly structure.

Many businesses invest heavily in traditional SEO services in India to rank on the first page of search results. However, high rankings do not guarantee that an AI model will cite your content. Generative engines look for concise definitions, structured data, and authoritative data blocks. In a controlled study, researchers at Princeton University have found that adding citations, statistics, and quotations to content could lift its visibility in generative engine responses by as much as 40 percent.

Professional GEO services reformat your blogs, articles, and landing pages into highly crawlable formats. This optimization makes it easy for LLMs (Large Language Models) to extract your brand information and present it as a primary solution.

2. Entity Recognition and Knowledge Graph Alignment

Generative models rely heavily on established knowledge graphs to verify information before presenting it to users. If your brand lacks a clear semantic footprint, AI engines will treat your business as an unverified source.

Professional GEO services focus on strengthening your brand’s entity recognition across the digital ecosystem. This involves aligning your corporate data with trusted third-party databases, independent registries, and structured schema markup.

When you partner with an agency providing expert SEO services in India, they ensure your technical foundations are flawless. Advanced GEO services take this further by mapping your brand relations, products, and core expertise into a format that AI engines can validate instantly.

This alignment ensures that when an AI engine searches for industry leaders, your brand is recognized as a factual and verified entity.

3. Digital PR and Citation Authority Building

Traditional search engines use backlinks primarily as popularity votes to determine page authority. Generative engines view links through a slightly different lens, looking for credible citations that validate specific facts.

AI models favor brands that possess strong digital credibility and consistent mentions across reputable news platforms, trade publications, and academic sources. Earning these high-value citations requires a dedicated digital PR strategy. An analysis of nearly 69,000 real Google searches by the Pew Research Center found that 88 percent of AI-generated summaries cite three or more sources rather than relying on a single reference, underlining how much weight generative engines place on a broad base of credible citations.

By leveraging targeted GEO services, your business can execute PR campaigns that specifically aim for algorithmic trust. This process goes beyond standard link acquisition. It focuses on building a network of authoritative mentions that AI models naturally reference when generating summaries.

This extensive digital footprint ensures your business is actively cited as a trusted answer rather than being left out of the conversational loop.

Also Read: Adapting to AI-Powered Search: Building Growth While Preserving Your Brand

4. Visibility Tracking and Share of Voice Monitoring

You cannot optimize what you do not measure. Tracking visibility in traditional search relies on keyword rankings, but tracking visibility in AI search requires monitoring actual algorithmic citations.

Advanced GEO services utilize proprietary tools to track how often your brand appears in conversational answers. These services benchmark your brand against top competitors to analyze your true share of voice across platforms like Gemini, ChatGPT, and Perplexity. The stakes are already substantial: the same Pew Research Center study found that 58 percent of surveyed adults encountered at least one Google search with an AI-generated summary in a single month, meaning a majority of queries now bypass the traditional results list entirely.

Regular monitoring allows businesses to understand which pieces of content are successfully earning citations and which ones remain invisible. Agencies offering comprehensive SEO services in India can integrate these advanced tracking metrics into their broader digital marketing reports.

By continuously analyzing these generative search metrics, your marketing team can refine its content strategy based on real-time AI behavior data.

5. Category and Location-based AI Planning

Every industry has a unique digital footprint, meaning that a retail brand requires a different optimization approach than a B2B enterprise software company.

Customized GEO services provide tailored plans designed around your specific business category and geographic target market. AI engines synthesize vast amounts of localized data to answer user prompts that contain explicit or implicit geographical intent.

If your business relies on local or regional customers, your conversational data must match local search patterns perfectly. Integrating localized intent into your generative search plan ensures that your business displays prominently in regional AI summaries.

Leading providers of SEO services in India help brands blend local search parameters with advanced generative optimization techniques. This comprehensive approach ensures your brand remains highly visible, citable, and authoritative across both local and global AI search platforms.

Secure Your Place in the AI Search Era

To maintain digital visibility, modern enterprises must invest in specialized GEO services that align with conversational AI models. Transforming your digital presence requires deep expertise, advanced visibility tracking tools, and a performance-first approach to content authority.

Partnering with a trusted GEO agency can help businesses strengthen their presence across AI-powered search platforms while protecting long-term organic visibility. The right partner will provide the end-to-end solutions, custom strategies, and proprietary tracking tools needed to ensure your brand remains the preferred answer in AI search summaries.

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Education benefits pay for some or all of an employee’s study, and US employers increasingly treat them as a reason people stay rather than a line on a benefits summary. The category stretches across tuition assistance for degrees, funding for certifications and short courses, and contributions toward student loans an employee already carries. What ties them together is that the employee walks away with something portable and personally valuable, which is unusual among workplace benefits.

Attention tends to arrive when turnover costs start hurting. Replacing a single employee can run from one-half to two times that person’s annual salary, according to Gallup, which puts real numbers behind the intuition that losing a skilled worker often costs more than funding a year of somebody’s study. Program design decides whether any of that retention effect materializes, and most of the difference comes down to how the money reaches the employee and who can realistically make use of it.

Models that remove the upfront cost

Reimbursement is the older approach, where the employee pays tuition, passes the course and claims the money back months later, which quietly rules out anyone unable to float a few thousand dollars. Direct billing removes that barrier by sending payment to the school from the employer or the plan administrator. Large-scale programs in the US work this way, and education benefits for union members are usually negotiated at the organization level, with the school network and covered amounts agreed before any individual enrolls.

Why the benefit holds people

Retention improves when study connects to somewhere the employee can actually go, so a finished qualification maps onto a role, a pay band or an internal move rather than sitting on a resume. Programs left alone drift out of usefulness, and close to four in ten employers say their tuition assistance hasn’t been reviewed in three years, which shows up as outdated school lists and caps that no longer cover much of a course. Tracking promotion and turnover among participants against everyone else is what keeps finance funding it.

Also Read: What Skills Do Freshers Need to Land Their First AI/ML Job

Where uptake usually breaks down

Most US employers already offer something educational. Roughly 48% of organizations offer undergraduate or graduate tuition assistance, according to SHRM’s Employee Benefits Survey, so simply having the benefit isn’t a differentiator anymore. Take-up is where programs quietly fail, and the reasons are consistent enough to check against your own policy:

• Eligibility waits that push access past the point where most turnover happens
• Clawback clauses demanding repayment if someone leaves within a year or two
• Approved school lists that don’t include a relevant program
• No workload or scheduling adjustment, leaving study to compete with overtime

The gap between offering a benefit and people actually using it is well documented. Separate research from the same U.S. Chamber Foundation survey found that 44% of employers offered no additional resources — like adjusted schedules — to help employees actually pursue education while working, which is a large share of programs asking people to study on top of a full workload rather than instead of part of it.

What it costs to get wrong

The retention math only works if the program is actually reaching people who might otherwise leave. Turnover isn’t a marginal cost: Gallup estimates that voluntary turnover costs US businesses more than $1 trillion a year in recruiting, hiring, onboarding, training and lost productivity during transitions. Against that backdrop, an education benefit that sits unused because of a six-month waiting period or a clawback clause isn’t neutral — it’s a retention tool employers are already paying for but not deploying.

Making the program worth the spend

Communication does more work here than budget size, because a generous benefit nobody knows about performs identically to no benefit at all. Managers are the bottleneck in most organizations, so they need the eligibility rules well enough to raise the option in a development conversation without checking with HR. Pairing funding with protected study hours or a lighter rotation during exams costs little and removes the objection most employees actually have, which is time rather than money.

Look at who has used the benefit over the past two years and what happened to them afterward. If participants cluster in one department, or if the people finishing qualifications are the ones leaving, the problem sits in the progression routes rather than the funding. A benefit that pays for a credential nobody uses internally is functionally a resignation subsidy — the fix is rarely more money, it’s a clearer route from the finished course to the next role.

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BlissClub, the Bengaluru-based direct-to-consumer athleisure brand, has raised ₹160 crore (roughly $16.8 million) in a Series B round led by Singularity AMC, with founder Minu Margeret and Meesho founder Vidit Aatrey participating as individual investors alongside returning backers Elevation Capital and Eight Roads Ventures.

The company has not disclosed the valuation, the equity diluted, or how the ₹160 crore splits between Singularity AMC and the other participants, framing the use of funds instead around expansion into new categories, a larger offline retail footprint, product development and hiring.

It is BlissClub’s largest round to date and the first time a new institutional investor has entered its cap table since 2022, with both existing backers choosing to return rather than exit. The company’s last raise was a $15 million Series A in May 2022 led by Eight Roads Ventures with Elevation Capital participating, which followed a $2.25 million seed round in May 2021.

Also Read: Bakingo Raises ₹100 Cr Series B From Faering Capital

Founded in 2020 by Margeret, BlissClub began with technical activewear built specifically for Indian women and has since grown into an omnichannel operation spanning its own website, online marketplaces and more than 40 physical stores, adding a menswear line in recent months.

The round lands on the back of a financial year that strengthens BlissClub’s case for the retail bet it is now making. Operating revenue in FY25 grew 51 percent to ₹131.5 crore from ₹87 crore in FY24, and the company has said it more than halved its losses over the same period on lower employee costs, though it has not disclosed the absolute loss figure.

Revenue climbing while losses narrow is typically the strongest signal a D2C brand can offer that its unit economics are improving rather than being propped up by spend, and it is likely the number that persuaded Singularity AMC and the returning investors to back a larger, capital-heavier phase of the business.

That phase now shifts the brand’s biggest test from digital acquisition to physical retail economics. BlissClub built its identity online, competing in a category — activewear — where fabric and cut are easy to copy and where Nike, Adidas and Puma sit above it on distribution while a widening field of domestic labels compete below on price.

Forty stores scaling on ₹160 crore is a materially different cost structure from the e-commerce model that produced the FY25 numbers. With FY26 accounts still unfiled, whether owned retail deepens BlissClub’s margins or erodes the progress it just reported remains the open question the round is meant to answer.

Also Read: She Built the Community Before She Built the Leggings

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Gurugram-based online bakery brand Bakingo has raised ₹100 crore (~$10.5 million) in a Series B round from its existing investor, private equity firm Faering Capital, at a valuation reported to be 2.6 times higher than its previous round.

Bakingo was founded in 2016 by Suman Patra, Shrey Sehgal and Himanshu Chawla, growing out of FlowerAura, the gifting e-commerce company the same founders built first — a lineage central to how the bakery still operates. Gifting gave Bakingo a ready demand channel and an understanding of occasion-led buying, where customers order ahead and value reliability over the lowest price.

The raise lands as branded, vertically integrated bakery brands try to hold ground on two fronts at once. Theobroma, Monginis and a field of regional chains compete on brand and freshness, while Blinkit, Swiggy and Zomato have pushed hard into instant cake delivery, turning speed into the axis of competition and pressuring any model built around a scheduled order. Bakingo runs its own network of more than 100 kitchens across over 30 cities, producing over 400 cake designs sold through its website, its sister gifting platform FlowerAura, and quick-commerce channels — a dark-kitchen footprint that is an asset against the first group of rivals and a potential liability against the second if consumers shift decisively toward instant delivery.

Also Read: Discovered Materials Raises $9M Seed Led by Lightspeed India

Following the allotment, Faering holds a 26.31 percent stake in Bakingo. By Entrackr’s analysis of the RoC filing, the round values the company at ₹1,643 crore ($173 million), about 2.6 times the ₹627 crore at which it raised its previous round — a $16 million investment also from Faering in November 2023, which was Bakingo’s first external funding after seven years of bootstrapped operation and was reported then at a valuation of around ₹571 crore. Bakingo has not disclosed the equity dilution details, the primary-secondary split, or a specific use for the fresh capital beyond general business requirements and expansion. In FY25, the company reported standalone revenue of ₹300 crore against a net loss of ₹16.5 crore; revenue has climbed steadily from ₹94.6 crore in FY23, but the loss has widened from ₹0.8 crore over the same span as the kitchen network expanded, and FY26 accounts have not yet been filed.

A round funded entirely by the incumbent investor, with no new institutional name attached, can read as efficient continuity or as limited outside appetite at this valuation — the filing does not say which. Bakingo’s edge is that gifting demand from FlowerAura arrives without paid acquisition, and owning its kitchens captures margin an aggregator cannot, in a category where brand trust and reliable delivery matter more than price. What the fresh ₹100 crore has to prove is whether that structure can turn into profitability at scale, or whether it simply funds another leg of expansion that widens the loss before it narrows it.

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San Francisco-based deep-tech startup Discovered Materials has raised $9 million (₹85 crore) in a seed round led by Lightspeed India Partners, with participation from Y Combinator and Peak XV Partners, alongside angel investors including Paul Graham, Gokul Rajaram, and Thariq Shihipar. The round, announced on 10 August 2026, is Discovered Materials’ first institutional funding, and the company has not disclosed the valuation at which it was raised.

The startup is chasing a bottleneck that has quietly become one of the AI industry’s most expensive problems. Modern AI chips shed heat at fluxes exceeding 140 watts per square centimetre, hotter than a spacecraft on re-entry, and that heat drains much of the power and water a data centre consumes. Finding thermally conductive materials that can cool 3D chip packaging has historically taken over a decade of lab work, a timeline sharply at odds with the pace of the chip build-out itself. Discovered Materials’ bet is that swarms of AI agents, built on frontier models in a custom harness, can propose thousands of candidate materials a day, with in-house physics simulations filtering them by stability and thermal performance before anything reaches a lab.

Also Read: Yulu Raises $93M Series C Led by GEF Capital

The company emerged from Y Combinator’s Spring 2026 batch, founded the same year by Akash Ramdas and Advaith Sridhar, who met more than a decade ago at IIT Madras. Ramdas holds a PhD in materials science from Stanford, where his work on nanoscale interconnects fed into roadmaps at Intel and TSMC; Sridhar, the chief executive, studied AI at Carnegie Mellon and built autonomous agents at Persona AI and Luma Labs before this. The capital raised will go toward expanding the team and laboratory and scaling the company’s research agents. Alongside the round, Discovered Materials released the Material Discovery Bench, a benchmark for how frontier AI systems perform on real semiconductor materials problems — a move that positions the young company as a party defining how the field gets measured, independent of any single model generation.

The funding does not settle the harder question. Discovered Materials is months old, pre-revenue and small, and its claim of producing thermal materials in three months that match products which took years to develop is the company’s own and remains unverified. Generating candidates fast is the part AI makes easy; validating a material in a fab and persuading a conservative chipmaker to adopt it is the multi-year, expensive part that no AI-discovered material has yet cleared commercially. The startup is also entering a field where Microsoft’s MatterGen, Google DeepMind’s GNoME and well-funded materials-AI rivals are chasing the same compression of materials discovery with considerably deeper resources, which makes its narrow focus on thermal materials for chip packaging — where one founder already carries production credibility — a sensible wedge rather than a broad bet.

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Bengaluru-based electric mobility-as-a-service platform Yulu has raised $93 million in a Series C round combining $63 million in equity, led by GEF Capital Partners, with $30 million in debt. The round, announced on 12 August 2026, is reported to value Yulu at about $170 million post-money; chief executive Amit Gupta declined to confirm the figure but did not dispute it. About $5.5 million of the equity bought out early seed investors nearing the end of their fund life, rather than flowing into the business, Gupta said, and existing strategic backers Bajaj Auto and Magna International did not participate, waiving their pre-emptive rights to let GEF acquire its target stake.

The round lands as shared electric two-wheelers have found a job well beyond urban commuting: the delivery layer under India’s ten-minute grocery boom. Yulu’s vehicles now handle more than 750,000 doorstep deliveries a day and account for over 15 percent of quick-commerce deliveries across India’s four largest metros, turning what began as a shared-bike service into logistics infrastructure for platforms like Blinkit, Zepto and Swiggy Instamart. The company owns its roughly 50,000-vehicle fleet outright and rents it out by the day or trip, an asset-heavy model in which battery swapping through Yuma, its joint venture with Magna, keeps vehicles earning instead of charging — and explains why $30 million of this round arrived as debt rather than equity, since fleet financing is typically cheaper than selling shares.

Founded in 2017 by Amit Gupta, RK Misra, Naveen Dachuri and Anuj Tewari, Yulu has now raised more than $228 million since inception, including an $82 million Series B led by Magna in September 2022 and $19.25 million from Magna and Bajaj in February 2024. The fresh capital is earmarked to quadruple the active fleet to 200,000 electric vehicles over two years, expand into new urban-mobility use cases including a higher-payload scooter for e-commerce parcels, and prepare the company for a potential public listing. Operating revenue nearly doubled to ₹237.4 crore in FY25 from ₹119.9 crore in FY24, and Yulu says it has been EBITDA-positive since April 2025, even as it posted a ₹126 crore net loss for the year, down 12 percent from the prior year.

The terms complicate the growth story the fleet numbers tell. A reported post-money of about $170 million, nine years after founding and against more than $200 million raised, looks flat to down measured against valuations ascribed to Yulu in 2025, and a round partly used to buy out early investors while two strategic backers sat out is consistent with a deal structured for a new entrant and an exit for old ones, whatever the framing. What Yulu has that few mobility peers can claim is a genuine operating turn: positive EBITDA, near-doubled revenue and a captive, if concentrated, demand source in quick commerce. The risk sitting underneath is that same concentration — a handful of cash-burning delivery platforms could bring logistics in-house or squeeze rates — colliding with the capital intensity of quadrupling a fleet before the business converts EBITDA breakeven into sustained net profit.

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Traditional search engine optimization (SEO) tactics are no longer enough because of the rise of modern search systems that use AI. To remain visible in search, brands have to design their content so that it can be as easily read by both machines and humans. In this article, we discuss how AI search has shifted traditional SEO logic and what that means for both growing and preserving your brand.

How AI Search Has Shifted Traditional SEO Logic

The original goal of search engine optimization, or SEO, was to rank highly for specific keywords. Ranking first for the most important queries was essentially the finish line. As a result, traditional SEO models focused on strategies like placing the right keywords in content. Search engines would then match a user’s search terms to those placed keywords.

This keyword-based approach is not enough because almost every modern search engine now uses AI to read online content and generate direct answers. SEO success was also measured mainly through metrics like click-through rates and organic traffic. In the age of AI search, these metrics give an incomplete picture of online visibility.

Due to this shift in search technology, the new goal of modern search optimization strategies is to create content that can be easily digested and summarized by AI-powered search systems. In fact, many users now conduct zero-click searches where they never have to click on any search engine result pages (SERPs) — a June 2026 SparkToro and Similarweb study found that 68% of US Google searches ended without a click in the first four months of the year, the fastest two-year acceleration the researchers have recorded. This heavy reliance on AI-generated answers means that brand mentions are the most important metric for AI visibility success.

Optimizing Your Content for AI Visibility

Identifying the Right Prompts

The first way to optimize your content for AI visibility is by identifying the right prompts that users actually search. Think of some of the most important questions that buyers will ask before purchasing one of your products. Categorize these prompts based on how informed your customer is at each stage of the decision-making process. Prioritize prompts with the most commercial intent, and make sure that your content answers these prompts.

Mapping Query Fan-Outs

When an AI-powered search engine is asked to search the internet for information, it often conducts several adjacent related searches in addition to the target query. It then digests the answers to this query fan-out in order to generate a comprehensive answer for the user’s main question. When you are testing prompts, use in-model or third-party tools to see what additional searches an LLM is using. That info is invaluable for better focusing your content.

Extractable Passages

Instead of just ranking pages, AI-powered search systems are looking for passages that they can extract to answer the query fan-outs for a user’s main query. They are still drawing from a retrieval pool built on some traditional SEO basics, but every page your brand posts should be made of extractable passages. If you do, these systems can map individual sections cleanly onto the sub-queries that the LLM generates.

To ensure extractable passages, you should organize your content into short and easy-to-read sections. It is also helpful to use structures that AI systems find particularly easy to parse. These include FAQ sections, bulleted lists, content broken into subheadings under the main heading, etc.

Brand Authority

Search engines are also more likely to surface your content if they believe that your brand is an authoritative source. The first step to building authority is to focus your content on fact-based conclusions and analysis. At the same time, you should also provide the most accurate and comprehensive answer to potential user queries.

Brands are also seen as more authoritative if they have a consistent and specific content focus, because that demonstrates topical authority. Getting backlinks from trusted and established sources in your industry will also help convince AI systems that your site is authoritative.

Technical SEO

Technical SEO is about optimizing your website’s infrastructure so that AI-powered search systems can easily crawl and index your content. Everything should load quickly, content needs to be mobile-friendly, and there should be clear headings and structures. Poor loading times, coding errors, and structure issues will make your content harder for machines to navigate.

When coding your site, a main focus should be placed on making everything easy to access and having canonical tags so that there is no chance of duplicate content. If this part of AI visibility sounds too daunting, you and your team can hire a premium AEO agency that specializes in technical SEO.

Protecting Your Brand in AI Search

Cybersecurity Software

The easiest way to protect your brand in the era of AI search is by installing the right cybersecurity software. Install a multi-pronged security program that blocks malicious AI bots from accessing your content while still allowing AI-powered search systems to access and digest content as needed. Such cybersecurity software blocks bot attacks, separates authentic users out, and audits your content to see what percentage of your content is viewable by AI. Customize which program you use based on your brand’s needs.

Internal AI Guardrails

At the same time, it is also best practice to install some basic internal guardrails around AI use. Set clear policies on when AI can be used to create or edit content, and try your best to exclude even light AI editing when creating landing pages and other crucial content. Double-check that only high-quality AI tools are being used and that your brand’s content is not being secretly used to train AI.

Copyrighting and Trademarking

Your brand can also be protected from AI theft and replication through standard copyrighting and trademarking. Start by registering your brand’s logos, domain names, products, and even certain parts of your content. After that registration is complete, you can also use certain trademark-tracking tools to help prevent your content from being scraped.

Key Takeaways

The implementation of AI has totally shifted the online search landscape, and many users rely on generated answers instead of clicking through search engine results pages. Instead of ranking high in search, the goal of modern SEO strategies is now to optimize content so that it can be easily digested and summarized by AI systems. Brands will experience better growth if they adapt to this new goal, and they can simultaneously protect their content through custom cybersecurity software, internal AI guardrails, and copyrighting.

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For most of the last decade, a D2C founder’s growth story followed a predictable arc: launch in Bengaluru or Mumbai, chase Instagram-led discovery among a young, high-income metro audience, then “expand” into smaller cities once the brand had proven itself. That sequence is starting to invert. According to Unicommerce’s FY26 analysis of over 400 million order items across more than 6,000 digitally native brands, Tier-2 and Tier-3 cities accounted for nearly two-thirds of new D2C orders in the financial year, and around 60 percent of incremental gross merchandise value over the previous year. India’s overall D2C order volumes grew 33 percent year-on-year, with GMV up 32 percent, in a market currently sized between $10 billion and $12 billion and projected to reach roughly $60 billion by 2030.

The data behind the shift

The Unicommerce numbers aren’t an isolated data point. A separate industry study, SGA PR’s “Pulse 2026” report, unveiled at the Bharat Startup Summit, found that categories once considered strictly metro business — protein nutrition, premium skincare, wellness supplements — are now seeing strong adoption in smaller cities including Indore, Ahmedabad, Coimbatore and Udaipur. The report pegs India’s broader retail market at a path to $1.5 trillion by 2030, growing at a 9–10 percent CAGR through FY30, with digital-first brands still capturing only a modest share of that pie — meaning the runway for non-metro D2C growth is, on paper, still early.

Some of this is simple infrastructure catching up. Return-to-origin rates on D2C orders — long a tax on smaller-city expansion because of cash-on-delivery risk and address-verification issues — fell from nearly 39 percent in the November 2025 festive season to about 21 percent by February 2026, per logistics platform Shipway’s data. Smartphone penetration in Tier-2 cities has crossed 70 percent, and household incomes in these markets have grown by close to 40 percent since 2018 — the kind of purchasing-power shift that turns “aspirational” categories into everyday ones.

What it looks like on the ground

Data on MILLD, the high-protein atta brand founded by Sivaram Briyas and EaseMyTrip co-founder Prashant Pitti, tracks closely with the macro numbers. Nine months after its November 2025 launch, MILLD’s five largest metro markets contribute just 38 percent of total orders — the rest comes from cities such as Mohali, Nagpur, Dehradun, Bhopal, Raipur and Vadodara, several of which saw order volumes rise six to nine times between December 2025 and June 2026. Nearly half of MILLD’s transactions now come from repeat customers, suggesting the smaller-city demand isn’t a one-time discovery spike but a sustained buying pattern.

That kind of trajectory complicates an old assumption in Indian D2C: that a functional nutrition brand needs a metro, gym-going audience before it can scale. MILLD’s growth suggests the opposite — that protein-forward, health-positioned products can find their fastest adopters in cities with no legacy “fitness culture” marketing to compete against.

Founders are already rewriting the playbook

The shift is starting to reshape how brands plan distribution and marketing from day one, rather than treating non-metro markets as a later-stage expansion. Regional-language content, local logistics partnerships and community-first trust-building — as opposed to paid performance marketing calibrated for metro CACs — are increasingly built into launch plans rather than bolted on afterward. Over 70 percent of India’s internet users consume content in regional languages, a data point that’s pushing D2C marketing teams to treat English-first Instagram campaigns as a metro-only tool rather than a default.

There’s a second, quieter shift buried in the SGA PR findings: consumers in these markets are described as moving beyond celebrity-led branding toward ingredient-conscious, outcome-driven purchase decisions. That sits in some tension with brands like MILLD leaning on a celebrity ambassador (Milind Soman) to drive awareness — a reminder that a well-matched ambassador can still open a market, but retention in Tier-2/3 India increasingly depends on product substance holding up once the initial curiosity wears off.

The road ahead

None of this means metro markets are becoming irrelevant — they remain the highest-value customers by average order size for most categories. But the growth curve has clearly shifted. For founders raising their next round, or currently deciding where to spend their first performance-marketing rupee, the numbers point to a straightforward conclusion: the brand that wins Bhopal in 2026 may be building something just as durable as the one that once won Bandra.

FAQs

What share of India’s D2C growth now comes from Tier-2 and Tier-3 cities?

Tier-2 and Tier-3 markets accounted for roughly 66 percent of new D2C orders and about 60 percent of incremental GMV in FY26, according to Unicommerce’s analysis of over 400 million order items.

How big is India’s D2C market expected to become?

Industry estimates put the current market at $10–12 billion, with projections of roughly $60 billion by 2030 as digital adoption and non-metro demand continue to widen.

Which categories are seeing the strongest Tier-2/3 adoption?

Protein nutrition, premium skincare and wellness supplements — categories once considered metro-only — are showing strong uptake in cities like Indore, Ahmedabad, Coimbatore and Udaipur.

Is celebrity endorsement still effective in these markets?

It still drives initial awareness, but industry data suggests Tier-2/3 consumers are increasingly ingredient-conscious and outcome-driven, meaning product substance matters more for retention than star power alone.

The post Why India’s Next D2C Winners Are Being Built In Indore, Not Indiranagar appeared first on LAFFAZ.

ⓘ Editor’s note: LAFFAZ covers Camilla Araujo’s exit from OnlyFans as a creator-economy business story — specifically what happened next, when she turned her personal brand into a paid mentorship product. This piece does not link to or describe explicit content; all facts are drawn from her own public statements and named on-record sources.

Camilla Araujo announced she was leaving OnlyFans on Instagram on December 22, 2025, then formalized the exit on New Year’s Day with a nearly 15-minute YouTube documentary titled “Becoming Her” that passed 600,000 views within 24 hours. In it, Araujo said she’d built the account into 30 million followers and over $20 million in earnings across three years, then walked away from it at the peak.

The documentary leaned hard into her immigrant-family backstory — Brazilian parents, a one-bedroom apartment shared by four people, and a childhood built around getting her into college. She’s said the earnings let her help her parents retire and buy a home. Before OnlyFans, she’d already had one moment of mainstream visibility: appearing as “Player 067” in a MrBeast Squid Game recreation video.

“Over the last three years, I’ve gained over 30 million followers and made over $20 million. And yeah, mostly through OnlyFans. But today, I quit. But the reason probably isn’t what you think,” said Araujo in the video documentary

“I didn’t leave OnlyFans out of regret. I left because I grew.” she added

The Pivot: From Creator to Course-Seller

The same week as the documentary, Araujo opened applications for Becoming Her, a paid social-media mentorship program at BecomingHer.co, which she described as teaching the “Viral Content Formula” behind her earnings. She claimed over 50,000 people applied on launch night alone.

That’s a familiar move in the creator economy — a personal brand converting audience trust into a paid education product — but the pricing structure is what triggered scrutiny. According to reporting on the application funnel, applicants are asked how much they’re willing to invest, ranging from roughly $1,000 to $4,500; choosing under $2,500 routes them to a $67 self-guided guide, while anything above that threshold triggers a follow-up sales call. Other reports put the top tier as high as $8,000.

The Backlash

Fellow creator Forrest Smith went through the application process publicly and posted her findings on TikTok, calling out the program’s “interview” framing as a pressure tactic:

“That’s just a strategy to make you feel special so you’re more willing to spend $2K to $5K on a course.” — Forrest Smith, via TikTok

Smith and other users also flagged that the application asked for sensitive financial details — including credit score and weekly income — before granting access to pricing, and that the “limited spots” scarcity messaging didn’t hold up to scrutiny. Some commenters went further, calling the structure a “pay in pyramid scheme.” Araujo and her team have not publicly responded to the scam allegations; outlets including People confirmed they’d reached out for comment without response as of publication.

Why This Matters Beyond One Creator

Araujo’s situation is a clean case study in a pattern that’s becoming common across the creator economy: platform-native income is volatile and reputationally risky, so successful creators increasingly try to convert their audience into a second, more “legitimate”-looking business — coaching, courses, agencies. The tension is that the sales mechanics of that second business (application funnels, urgency messaging, tiered pricing gated behind income disclosure) are borrowed directly from high-ticket info-product marketing, a category with its own long history of predatory-practice complaints. Whether Becoming Her holds up as a real business or fades under the scrutiny will likely say more about that broader shift than about Araujo individually.

Camilla Araujo FAQ

How much did Camilla Araujo earn on OnlyFans?

She said in her documentary that she earned over $20 million across three years, mostly through OnlyFans, while building a following of over 30 million.

What is Camilla Araujo’s Becoming Her course?

It’s a paid social-media mentorship program launched January 1, 2026, priced between roughly $1,000 and $8,000 depending on the tier, teaching content-growth strategy.

Why is Becoming Her facing scam accusations?

Critics, including fellow creator Forrest Smith, have pointed to high-pressure sales tactics, requests for applicants’ credit scores and income, and content they say is available for free elsewhere.

Has Camilla Araujo responded to the backlash?

Not publicly in detail as of this writing; multiple outlets reported reaching out for comment without a response.

Conclusion

The documentary got the attention. The course is what will decide whether this becomes a genuine second act or a cautionary tale about monetizing an audience’s trust twice.

The post Camilla Araujo Quit OnlyFans After $20M. Her Next Business Is Facing Scam Accusations appeared first on LAFFAZ.

Smallest.ai, the Bengaluru-based voice AI company, has raised $13 million in a Series A round led by Seligman Ventures, with participation from existing backers Sierra Ventures and 3one4 Capital, alongside Better Capital, Upsparks Capital, Schema Ventures, Tiny VC, DeVC and Mission Street Capital. The round takes the company’s total funding past $21 million.

Voice AI is one of the more crowded corners of enterprise AI right now, and Smallest.ai is a minnow next to the category’s better-funded names — rival ElevenLabs raised $500 million in February alone, and Fish Audio recently pulled in $52 million for its open-source speech platform. What Smallest.ai is selling instead is architecture: a real-time speech-to-speech system built to process listening, reasoning and response in parallel rather than waiting for a full audio clip before generating a reply, aimed at cutting the latency that makes AI voice agents sound robotic on calls with financial services, healthcare and contact-centre customers.

Founded by IIT Guwahati graduates Sudarshan Kamath (CEO) and Akshat Mandloi (CTO), Smallest.ai raised an $8 million seed round in October 2025 led by Sierra Ventures to build its low-latency Lightning algorithm and 4-billion-parameter Electron v2 model. A May hardware partnership with Tenstorrent claimed the ability to run 550 simultaneous voice calls for roughly $27,000 on 27 P100 accelerators, versus close to $100,000 on 11 NVIDIA L40S GPUs for comparable throughput — a cost argument the company is leaning on hard as it courts regulated industries where call volumes are high and margins on automation are thin.

Also Read: River Mobility raises $120 Mn Series C led by Elev8, Claypond

“Voice AI has gone through three generations of innovation, but each generation has ultimately hit the same wall. The industry has focused on making models larger when the real challenge is architectural. Humans don’t wait for someone to finish speaking before they begin thinking. We listen, think, and respond simultaneously. Voice AI needs to work the same way. That’s why we built Smallest.ai around a real-time architecture that processes speech as it arrives, enabling faster, more natural conversations without sacrificing intelligence. By rethinking the stack instead of simply scaling models, we’re reducing latency to the point where voice interactions feel genuinely human.” said Sudarshan Kamath, founder and CEO of Smallest.ai

The company, which currently employs close to 60 people, plans to use the fresh capital for product development, hiring and commercial expansion across financial services, healthcare, contact centres and business process outsourcing. With less than 1% of global voice interactions currently AI-powered, against a market industry forecasts expect to grow from $2.4 billion in 2024 to $47.5 billion by 2034, Smallest.ai’s bet is that architecture and cost efficiency can carve out enterprise share even against rivals with far deeper war chests.

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Vaaree, the Bengaluru-based home décor and furnishings marketplace, has raised ₹65 crore (around $6.6 million) in a Series A round led by Hero Enterprise, the investment arm of the Hero Group, and Cap Alpha Ventures (formerly Client Associates Alternate Fund), with existing backers Peak XV’s Surge, PeerCapital, All In Capital, Better Capital, OTP Ventures and entrepreneur Kunal Shah also participating.

India’s online home décor category has long struggled with a discovery problem rather than a supply one — the products exist, but buyers rarely trust how something will actually look in their own space until it arrives. Vaaree’s answer is VibeCheck, an AI-powered discovery layer that lets shoppers build moodboards, visualise product combinations and shop curated looks rather than browsing a flat product catalogue. The fresh capital will go toward expanding VibeCheck alongside fulfilment and quality-verification centres, part of a push toward next-day delivery in major Indian cities.

Founded in 2022 by Varun Vohra, Garima Luthra and Pranav Arora, Vaaree runs a curated marketplace of more than 1.5 lakh products spanning décor, furnishings, bed and bath, kitchen and lighting, working with a selective slice of manufacturers that meet its quality and design standards rather than listing everything available. The round follows a $4.6 million pre-Series A last year and an earlier $4 million seed led by Peak XV’s Surge, giving the company a fairly conventional early-stage trajectory before this larger institutional round brought in a strategic name in Hero Enterprise.

Also Read: HomeRun raises $12 Mn Series A+ led by Nexus Venture Partners

“The problem in home category is not a lack of products. It is the lack of confidence customers feel while putting a space together. Most people know how they want their home to feel but translating that into the right products is difficult. With VibeCheck, we want to give every Indian access to a personal home stylist, one that understands their taste, helps them visualize complete spaces and makes every recommendation instantly shoppable. This funding allows us to strengthen both sides of that experience: technology that makes home styling simpler and fulfilment infrastructure that gets those products to customers faster,” said Varun Vohra, Co-founder, Vaaree.

Hero Enterprise’s involvement adds a manufacturing and consumer-brand pedigree to the cap table that pure financial investors don’t bring, and Munjal’s own framing of the deal — betting on Vaaree’s supply chain and quality-assurance discipline as much as its AI layer — suggests the round is as much about operational credibility as capital. For a category where trust in what arrives at the door has historically been the biggest drag on conversion, that combination of AI-led discovery and a strategic investor focused on supply chain rigour is a reasonably specific bet on where the next round of growth in Indian home décor e-commerce will come from.

“Vaaree is addressing a large and highly fragmented market with a differentiated, technology-led platform. The company has built a world-class supply chain and a robust quality assurance framework, while leveraging technology to curate its product assortment, personalize the customer experience, and simplify what is often an overwhelming home styling journey,” said Sunil Kant Munjal, Chairman, Hero Enterprise.

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Arboreal Bioinnovations, a Lucknow-based specialty food and nutraceutical ingredients company, has raised ₹230 crore (over $24 million) in a Series A round co-led by EAAA Alternatives, the alternatives investment arm of Edelweiss, and agrifood-focused Omnivore, with existing investor Rainmatter by Zerodha also participating.

The size of the round stands out in a segment that rarely sees Series A cheques this large. India’s specialty ingredients industry has quietly become one of the more capital-intensive corners of the food-tech ecosystem, as consumer packaged goods companies push suppliers to deliver science-backed alternatives — sugar-reduction systems, alternative proteins, cocoa-based ingredients — fast enough to keep pace with shifting nutrition labels and health-conscious demand. Building that kind of ingredient engineering and precision manufacturing capability upfront costs more than a typical software or D2C Series A, which is part of why investors are willing to write outsized early checks into companies that can prove out the science.

Founded in 2018 by Swati Pandey and Manish Chauhan, Arboreal runs an integrated platform spanning ingredient engineering, process R&D, formulation science and precision manufacturing, and says it has supported more than 300 product launches for over 1,100 B2B customers across food, beverage and nutraceutical categories. The Series A is also the first investment out of EAAA’s second Discovery Fund, which closed above ₹1,200 crore — meaning Arboreal effectively became the debut bet for a freshly capitalised pool of money specifically built to back category-defining businesses.

Also Read: Mitti Labs raises $9.5 Mn Series A led by Aramco Ventures

“This fundraise is a strong validation of the direction we are taking as a company. It gives us the fuel to accelerate our mission of building clean, science-led solutions that address some of the world’s most pressing nutritional and food challenges, with innovation originating in India and reaching consumers globally.” said Swati Pandey, Co-founder & CEO, Arboreal Bioinnovations

The company plans to direct the capital toward expanding manufacturing capacity, deepening R&D, and speeding up commercialisation of its next generation of functional ingredients. For a Discovery Fund built to find and back category leaders early, Arboreal’s ability to already claim 1,100 customers and 300 product launches likely mattered more than the ticket size — it suggests the science has cleared commercial validation, leaving capital as the remaining constraint on scale.

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River Mobility, the Bengaluru-based electric two-wheeler manufacturer, has raised $120 million in a Series C round comprising equity and venture debt, one of the largest private funding rounds yet in India’s electric two-wheeler segment. The equity portion was led by Elev8 Venture Partners and Claypond Capital, with participation from Singularity AMC, Anicut Capital, 360 ONE Asset, JIF Capital and HDFC AMC, while existing global backers Yamaha Motor Corporation, Al Futtaim Group and Mitsui & Co also returned. Alteria Capital, InnoVen Capital and Stride Ventures joined through venture debt.

The round is notable less for its size than for whose money is in it. Since its Series A, River had raised almost entirely from global names — Yamaha, Marubeni, Mitsui, Al Futtaim, Lowercarbon Capital, Toyota Ventures, Maniv Mobility — a foreign-capital-heavy cap table that is fairly unusual for an Indian EV manufacturer at this stage. This Series C marks River’s first significant backing from Indian institutional investors, a shift that suggests domestic capital is now willing to underwrite electric two-wheeler manufacturing at scale rather than leaving that risk to strategic automotive investors and international climate funds.

Founded in March 2021 by Aravind Mani and Vipin George, River has built its business around a single flagship model, the utility-focused electric scooter Indie, launched in 2023, rather than spreading across a wide product range early. The company raised $15 million in its Series A in June 2023 and $40 million in a Series B led by Yamaha in February 2024, giving it a fairly conventional funding cadence before this considerably larger Series C. Founder and CEO Aravind Mani told TechCrunch that less than 10-12% of the round was venture debt and that the equity portion was entirely primary capital, with no secondary share sales — a detail that matters because it means existing shareholders aren’t cashing out, and all $120 million is going into the company rather than partly to early investors exiting.

“This funding marks an important milestone in River’s journey. The confidence shown by both our existing and new investors reinforces our belief that there is tremendous opportunity to build India’s first utility and design based mobility brand,” said Aravind Mani, co-founder and CEO of River Mobility

The fresh capital will fund capacity expansion at River’s existing manufacturing facility, a new greenfield plant, new products in the utility lifestyle segment, and a push toward gross margin expansion and EBITDA profitability — the last two signalling that River, like most of India’s EV two-wheeler makers, is still working toward unit-level profitability rather than having already reached it. With India’s electric two-wheeler market moving past early adoption into what investors are now calling a defining growth phase, River’s bet is that a single well-executed model and vertically integrated manufacturing can hold ground against rivals selling across far broader product lines.

“The electric two-wheeler market in India is entering a defining growth phase, driven by strong consumer adoption, improving economics, and increasing demand for differentiated products. River stands out for its sharp product thinking, exceptional execution capability, and a highly differentiated positioning in the market. Aravind, Vipin and the team have built a brand that resonates deeply with consumers looking for brilliant design, utility and durability. We believe River is well-positioned to emerge as one of the defining EV companies from India.” said Navin Honagudi, Managing Partner, Elev8 Venture Partners

“River has combined disciplined execution and thoughtful product differentiation to rapidly grow and garner customer love in a competitive market. We are excited to support the team as they scale further while contributing to the country’s energy transition and domestic manufacturing ambitions.” said Sekhar Garisa, Managing Director, Claypond Capital

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HomeRun, the Bengaluru-based quick commerce startup for construction and interior materials, has raised $12 million in a Series A+ round led by Nexus Venture Partners, with existing backers Sorin Investments, Titan Capital, Sparrow Capital and Consumer Collective by Atrium also participating. The company has not disclosed its post-money valuation or the dilution the round represents.

The pace of HomeRun’s fundraising says almost as much as the round itself. This is the company’s third priced round in roughly nine months — a ₹9 crore seed in November 2025, a ₹60 crore ($6.6 million) Series A led by Sorin Investments in February 2026, and now this Series A+ — taking its total disclosed capital to around $19.6 million against an operating footprint that, as of its last public snapshot, was still confined to five dark stores in a single city. That capital-to-footprint gap is the central bet Nexus is underwriting: that construction materials, a category still dominated by fragmented neighbourhood hardware stores and cement-brand exclusive dealers, can be pulled onto a hyperlocal delivery model the way groceries and pharmacy already have been, and that HomeRun can prove that quickly enough to justify raising this far ahead of its city count.

Founded by Pukhraj Singh Grewal, who previously ran construction-labour marketplace Project Hero before winding it down and pivoting into materials delivery in December 2024, HomeRun promises 60-90 minute delivery of cement, tiles, plywood, wires and paints across roughly 105 pincodes in Bengaluru, sourced through authorised dealers with an all-electric delivery fleet. The company has reported an average order value of around ₹7,000 and more than 100,000 fulfilled orders to date, alongside a claimed 8X growth over the past year — though it has not specified whether that growth figure refers to orders, gross merchandise value or revenue.

Unlike grocery quick commerce, where a single delivery might weigh a few kilograms, HomeRun’s per-order logistics carry cement bags, plywood boards and bulk wire spools — cargo that is structurally heavier and costlier to move, which means the reported average order value alone doesn’t confirm the unit economics are contribution-positive once dark-store rent and inventory holding are factored in. The fresh capital is earmarked for entering new cities beyond Bengaluru, deepening the supply chain, and expanding the product catalogue, with Hyderabad and Pune flagged as likely next markets. The category is filling in fast: rival Fixxly closed a $5.5 million seed from Accel, Fireside Ventures and Lightspeed India Partners in late July with a September launch planned, while established B2B platforms Infra.Market and JSW One MSME already hold considerably deeper balance sheets in adjacent segments.

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Mitti Labs, a climate-tech company headquartered in New York with operations run out of Bengaluru, has raised $9.5 million in a Series A round led by Aramco Ventures, the venture arm of Saudi Aramco, marking the fund’s first investment in India. Returning investor Lightspeed India was joined by first-time backers Godrej Industries Group, Cisco Foundation, Francis Family Fund and Volta Circle, taking Mitti Labs’ total raised to $12.5 million.

The round is a fairly specific bet on where climate-tech capital is heading next. Rice covers roughly a fifth of Asia’s cultivated land, consumes more than 30% of the world’s irrigation water, and is one of agriculture’s largest single sources of methane because of how continuously flooded paddies work — yet the vast majority of that farming happens on fragmented plots under two hectares, where reliable data on water use, yields and emissions has historically not existed at all. Mitti Labs’ pitch is that satellite radar and AI can generate that missing data at the level of an individual field rather than an entire region, turning what used to be an unmeasurable problem into one large companies can actually underwrite and pay to fix.

Founded in 2023 by Xavier Laguarta Soler, Devdut Dalal and Nate Torbick, Mitti Labs runs a GeoAI platform, developed with NASA support, that fuses high-resolution synthetic aperture radar imagery with years of field-collected ground truth to build digital twins of individual rice plots — tracking soil moisture, flooding and crop health remotely across smallholder farms that have never had this kind of monitoring before. The company says its programs have grown from around 8,000 participating farmers in their 2024 debut season to more than 100,000 across several Indian states today, and that the water-saving irrigation techniques it promotes, primarily alternate wetting and drying, can cut water consumption by roughly 40% and methane emissions by more than half without reducing yields. Clients already paying for that data include carbon marketplace Cool Effect, rice producer Ebro Foods and agrochemical company Syngenta.

“Rice covers a fifth of Asia’s cultivated land, and it is both a major source of methane and one of the most water-intensive crops grown. Changing farming practices is not easy, but the harder part has been knowing what is actually happening in the fields across millions of small farms. That is what Mitti Labs’ AI and satellite technology aims to solve.” said Zayed AlAmri, Executive Managing Director of Aramco Ventures

“Solving the world’s water crisis requires bringing together smallholder farmers, industry stakeholders, governments, and nonprofits to transform how rice is grown. With its unique technology and vast network of farmer-partners, Mitti Labs can unlock new revenue opportunities tied to this transition and help build the future of rice,” said Hemant Mohapatra, Partner at Lightspeed India.

“As an investor deeply rooted in India, we know firsthand how critical water resilience is for farming communities. Mitti Labs has built a remarkable model that leverages technology towards securing the livelihoods of smallholder farmers. This model has the potential to reshape rice farming all over Asia,” said Burjis Godrej, Chairperson of Godrej Agrovet

With the fresh capital, Mitti Labs plans to deepen its footprint across India while launching greenfield projects in the Philippines later this year, followed by Indonesia and other Southeast Asian markets in 2027 — expansion that would let it serve compliance carbon markets, where emissions cuts are legally mandated, alongside the voluntary market it currently operates in. For an oil major’s venture arm, backing a methane-measurement startup working India’s rice belt is a comparatively small cheque, but it signals that water and emissions accounting in agriculture has become a cost line serious enough for energy companies to want a stake in the tools that measure it.

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Smart buildings are transforming the way businesses operate. According to Fortune Business Insights, the global smart buildings market is expected to grow from over $120 billion in 2024 to more than $300 billion by 2032, driven by demand for automation, energy efficiency, and connected technologies. At the same time, commercial properties continue to face growing security risks. The FBI reported more than 847,000 burglary offenses in the United States in its latest crime statistics, while insider threats, unauthorized access, and after-hours incidents remain common concerns for offices, warehouses, healthcare facilities, and corporate campuses.

Modern commercial buildings are no longer just physical spaces. They are connected ecosystems filled with employees, visitors, sensitive business data, expensive equipment, and critical infrastructure. Traditional cameras that simply record footage are no longer enough because they only help after an incident has already occurred.

This is where AI-powered commercial security systems are changing the game. A 2025 security trends survey from ASIS International, the leading nonprofit association for security professionals, found that among security teams already using AI, roughly a third reported it helped automate incident response and expand perimeter-monitoring capacity, freeing frontline staff from routine patrolling. By combining intelligent video analytics, access control, and automated alerts, businesses can identify threats in real time, respond faster, and improve operational efficiency.

In this article, you’ll learn why AI-powered security is becoming essential for smart commercial buildings, the biggest benefits it offers, and how businesses are using it to create safer and more efficient workplaces.

1. Smart Buildings Need Security That Can Think in Real Time

A modern commercial building can generate thousands of security events every day. Employees badge into offices, visitors arrive throughout the day, deliveries are made, contractors access restricted areas, and cleaning staff work after hours. Monitoring all of these activities manually is nearly impossible.

AI changes this by continuously analyzing live video instead of simply recording it. Rather than waiting for someone to review footage after an incident, AI identifies unusual behaviour as it happens.

For example, AI can detect:

• Someone entering a restricted area.
• A person remaining in a sensitive location longer than expected.
• Movement inside a building after business hours.
• Unauthorized access attempts.

This allows security teams to respond within minutes instead of discovering problems hours later.

A good example is Coram’s commercial security systems, which combine AI-powered video surveillance, cloud-based access control, emergency response, and centralized management into a single platform. Instead of replacing existing infrastructure, the platform integrates cameras, access events, and alerts into one dashboard, helping organizations monitor multiple commercial sites while automatically detecting incidents such as forced entry, tailgating, or after-hours access.

2. Faster Threat Detection Reduces Business Risk

Time is one of the biggest factors during a security incident.

Whether someone forces open a door, enters a server room without authorization, or attempts to steal equipment, every minute matters.

Traditional systems usually require security staff to notice the problem first. AI continuously monitors every connected camera and instantly sends alerts when suspicious activity matches predefined conditions.

For example, instead of reviewing several hours of surveillance footage after an incident, security teams receive immediate notifications with video evidence attached.

This faster response helps businesses:

• Prevent theft before it escalates
• Reduce property damage
• Improve employee safety
• Minimize operational disruptions

For large office buildings, manufacturing facilities, and corporate campuses, these few minutes can prevent significant financial losses.

3. AI Makes Access Control Much Smarter

Controlling who enters a commercial building has become increasingly difficult.

Modern organizations manage employees, contractors, visitors, delivery personnel, maintenance workers, and temporary staff, each requiring different access permissions.

AI-powered systems add intelligence to traditional access control by connecting entry events with video verification.

Instead of simply recording that a badge was used, security teams can immediately see:

• Who entered
• When they entered
• Whether someone followed behind without authorization
• What happened immediately after access was granted

This creates a much stronger security process while reducing manual investigations.

For organizations operating across multiple buildings, centralized access management also makes it easier to update permissions, remove inactive credentials, and maintain consistent security policies.

4. AI Reduces the Workload for Security Teams

Many commercial properties continue to expand while security departments remain relatively small.

Monitoring dozens or even hundreds of cameras for an entire shift is both difficult and exhausting. Human attention naturally declines after long periods of repetitive monitoring.

AI helps by filtering out routine activity and highlighting only events that actually require attention.

Instead of watching live video continuously, security teams focus only on meaningful alerts such as:

• Forced entry attempts
• Unauthorized access
• Loitering in restricted areas
• Suspicious movement after business hours

This not only improves response times but also allows existing staff to manage much larger facilities without significantly increasing operating costs.

5. Commercial Security Is Now About Business Intelligence

Modern AI systems do more than improve physical security.

They also generate operational insights that help businesses improve efficiency.

For example, organizations can understand:

• Which entrances experience the highest traffic
• Peak visitor hours
• Areas with frequent unauthorized access attempts
• Employee movement patterns
• Facility usage across different times of the day

These insights help facility managers optimize staffing, improve visitor management, adjust building operations, and identify potential bottlenecks.

Instead of security data remaining isolated, it becomes valuable information that supports better business decisions.

6. AI Helps Commercial Buildings Scale More Easily

As organizations grow, their security requirements become much more complex.

Opening new offices traditionally meant purchasing additional hardware, configuring multiple systems, and managing each location independently.

Cloud-based AI platforms simplify expansion by allowing administrators to manage multiple sites from one dashboard.

Whether a company operates:

• Five offices
• Twenty retail locations
• Multiple warehouses
• National corporate campuses

Administrators can apply consistent security policies, manage user permissions, monitor live events, and investigate incidents from a centralized interface.

This makes scaling significantly easier while maintaining consistent protection across every location.

7. AI Improves Emergency Response

Security incidents rarely happen in isolation.

A single event may require security teams, building managers, emergency responders, and executives to coordinate quickly.

AI-powered commercial security systems help automate this process.

Instead of relying on manual communication, modern systems can immediately:

• Trigger security alerts
• Lock sensitive areas
• Share live video with authorized personnel
• Record every access event
• Provide real-time visibility during emergencies

This coordinated response reduces confusion during critical situations and allows businesses to protect employees while minimizing disruption to operations.

Key Takeaways

• Smart buildings require proactive security instead of passive surveillance.
• AI detects suspicious behaviour in real time instead of relying on manual monitoring.
• Intelligent access control improves both security and accountability.
• AI reduces investigation time while helping security teams focus on genuine threats.
• Commercial security data can also improve operational efficiency and business decision-making.
• Cloud-based platforms simplify security management across multiple buildings.
• Automated emergency response helps organizations react faster during critical incidents.

Frequently Asked Questions

What are commercial security systems?

Commercial security systems are integrated technologies that help businesses protect buildings, employees, visitors, and assets. They typically include surveillance cameras, access control, alarms, and increasingly, AI-powered analytics for real-time threat detection.

Why are AI-powered commercial security systems better than traditional CCTV?

Traditional CCTV primarily records footage for later review. AI-powered systems actively analyze live video, detect unusual behaviour, send instant alerts, and automate security responses, allowing businesses to prevent incidents rather than simply investigate them afterward.

Can AI security systems work with existing cameras?

Many modern AI security platforms are designed to integrate with existing IP camera infrastructure, reducing the need for expensive hardware replacements while adding advanced analytics and automation capabilities.

Which businesses benefit the most from AI commercial security systems?

Office buildings, healthcare facilities, warehouses, manufacturing plants, retail stores, corporate campuses, logistics centers, and mixed-use commercial properties can all benefit from AI-powered security because they manage large numbers of people, assets, and access points.

Conclusion

As commercial buildings become smarter, security must evolve alongside them. Businesses can no longer rely on systems that simply record events after they happen. AI-powered commercial security systems provide real-time visibility, intelligent automation, faster incident response, and better operational insights, making them a valuable investment for organizations of every size. Properties with sophisticated, AI-driven security and building intelligence now command rental rates 8 to 12% higher than comparable properties still relying on traditional approaches, according to recent real estate industry data.

The question is no longer whether smart buildings should adopt AI-powered security. The real question is how long businesses can afford to operate without it.

The post Why Smart Commercial Buildings Need AI-Powered Security Systems appeared first on LAFFAZ.

“You only have to do a very few things right in your life so long as you don’t do too many things wrong.” — Warren Buffett

I was recently invited as a Keynote Speaker for the DTU E-Summit ’26 at Delhi Technological University (Formerly Delhi College of Engineering), India.

The Speaker session was well put together by the E-Cell DTU Team, and the team and the audience queried on varied topics such as, including but not limited to, what differentiates startup ideas that remain ideas from those that become real companies, balancing growth with financial discipline and runway management, when not to fundraise during your startup journey, the skills every entrepreneur should master, and more.

The recorded session is shared below, as also some of the ideas are shared right after.

Though questions were taken up on varied topics, we will address when not to fundraise during one’s startup journey in this post.

A venture should ideally not raise Venture Capital (VC) when the business is not naturally suited to the VC model; some examples of the same being that the venture has not yet proven it’s basic product-market fit, it cannot credibly scale into a very large outcome, or the capital would mainly be used to survive/figure some of the basic things out rather than accelerate a clear growth engine. In practice, VC is a good fit and works best only when speed, scale, and a venture-sized exit are probable; otherwise, the dilution, board control, and pressure to grow fast can hurt the venture more than help it.

When Not to Raise Venture Capital

I. There are no clear indicators about the road to Product-Market Fit (PMF)

If customers are not consistently using, retaining, and paying for the product, VC money often ends up just funding more experimentation, instead of scaling something that already works. Accelerating or even maintaining the growth rate, vis-à-vis managing early numbers and traction, is easier said than done.

Cases where the ventures might still be able to make a solid case for VC pre-basic PMF include deep-tech, biotech, or platform-shift companies that must raise capital before, because the product itself requires heavy R&D or long timelines. In those cases, investors are considering and betting on future trends, the current pace of technological progress, and future market behaviour and timing.

II. The cap table is broken or too messy

If founders own too little, prior investors own too much, or there is dead equity and no clear governance, institutional investors may consider the round as hard to close or structurally difficult. Having politically, judicially, or bureaucratically affiliated leaders with significant equity on your cap table might also have less desirable effects on your fundraising efforts at the earliest stages. Needless to say, there should also be no significant equity for anyone, especially co-founders or core team members, with questions on their integrity in the past (everything will come up in due diligence).

Ideally, before your very first institutional fundraise happens, the founders and the founding team working full-time for the company should still have at least 70 – 80% of the company equity with them, so that even with succeeding fundraising rounds as everyone gets diluted, there is still enough incentive to carry on and take the results to the finish line, vis-à-vis generating returns, and/or exits, to the investors.

To redeem a broken cap table, one will have to fix this through rebalancing ownership, removing dead equity, or restructuring governance. Easier said than done, but harder to fundraise till this happens.

III. The market is too small or too slow, and the margins are razor-thin in a crowded market

After securing venture capital, most businesses invest in growth while improving unit economics over time. Given how much time, capital, and energy are required to translate into a massive outcome, chances are that low-margin, highly competitive businesses in a crowded or saturated market can end up burning cash without ever creating the venture capital-sized scale returns required for the investment to be considered successful. A solid business can still be a bad VC-Business fit if it is unlikely to reach the scale VCs need for their return profile within their fund cycle.

As Don Valentine would say, “Target Big Markets: If you don’t attack a big market, it’s highly unlikely you are ever going to build a big company.”

Do note that in cases where ventures are disrupting the current business landscape and creating a platform shift altogether, even though they might have thin unit economics early on in a market that is huge enough, the ventures can still improve upon and create some dominance or moat with volume, network effects, or infrastructure advantages. In such cases, a startup can make a credible case for venture capital if it has strong retention, a clear wedge, and a credible path to a large outcome, and where venture capital might work out for the stakeholders involved, including, and especially for, the investors. Two examples would be Reliance Jio in India and WhatsApp globally.

IV. Lack of focus on, or within, a single business

If you are a first-time founder managing 5+ different businesses at the same time, chances are that you are sacrificing your focus and the potential success outcome a fair bit.

Many eons back, I was part of the founding team with a friend who is a Marquis Who’s Who serial entrepreneur & global innovator (we were at least a decade early to the market, if not more), and we were planning to get into multiple sectors with customized innovative hardware-software offerings at scale for those sectors. I remember catching up with my good friend Yinglan, for whom I have the highest regard and respect, who shared with me that “At the earliest stages, if you focus even on ‘just two’ entirely different things, you might end up focussing on none.”

It’s one of those timeless pieces of advice that still holds.

It is tough enough to build a single venture (90% of the startups fail), and if the founders do not come across as wholly committed to going all out for a single venture and the outcome, it is only fair not to expect institutional investors to commit their capital to a single venture outcome, from amongst the multiple ventures where the focus might be getting divided.

Over time, as one gains more understanding of high-quality teams, putting in place the right incentives, management systems, processes, distribution, the domino effect, etc., one might be able to manage more than one business at a time. We will always have outliers like Elon Musk, Jack Dorsey, and Brad Jacobs, amongst other good business leaders; but managing multiple businesses without the right foundation and frameworks first built in works less for most people than we might assume.

At the end of the day, one needs to take into account that the leaders in venture capital firms are also operating their own businesses, with returns to be generated for their Limited Partners (LPs) within their committed fund cycles. If the investment does not look like it can generate the kind of returns within the specified time period, more often than not, the venture is just not a fit for their investment thesis.

More often than not, one’s venture might not necessarily need a huge amount of capital to be invested at the starting line itself. If a company can reach profitability or meaningful scale (and if that happens to be the goal) with modest funding, venture capital might not really be required.

Also, given there are always exceptions, if you happen to be a serial entrepreneur with an exit track-record, or if you are a first-time high-quality founding team with integrity, who has this crazy vision about the future, and the execution chops to disrupt the status quo and make things happen, for all you know, despite all the odds and all the investment theses, you might still luck out and either still raise the funding, or make it to someone’s anti-portfolio.

Keep refining, keep building!

*Delhi Technological University (DTU), formerly Delhi College of Engineering (DCE), is amongst the leading technology institutions in India.

ⓘ The above article was originally published by Monce C. Abraham on his official portal.

The post Don’t Raise VC Money If You See These Red Flags appeared first on LAFFAZ.

Pursue what catches your heart, not what catches your eyes. – Roy T. Bennett

A few years back, I was invited to be one of the Esteemed Speakers for the NSUT E-Summit ’20 at the Netaji Subhas University of Technology (NSUT), India.

The Speaker session was well put together by the E-Cell NSUT Team, and the audience queried on varied topics such as, including but not limited to, whether every student needs to start a startup and where one finds the motivation to do so, prepping up to be an entrepreneur, building a diverse team and trying to raise funding from investors during the college years, and common reasons why startups fail.

The recorded session is shared below, as also some of the ideas are shared right after.

Though questions were taken up on varied topics, we will address whether every student needs to start a startup, and where one finds the motivation to do so.

Startups and The Pursuit of Entrepreneurship

I. There is no One Road to Success

Everyone is built differently, has different gifts and motivations, and their own journey to go through. What works for one might not necessarily work for others.

Not everyone needs to start a startup. In addition to choosing a goal that stretches you a bit (or more) beyond your current comfort zones, seeing the bigger picture and working for the longer term, hard and smart work, a bit of speed and timing, and a bit of luck, there is actually no playbook.

There is no ‘one road’ to success.

II. Entrepreneurship is not a job, it’s a lifestyle

As much as you would like to believe that the world of entrepreneurship is full of glamour and glory, the truth is, to make it work you will have to dive in head-on and work on it unlike anything you have ever been remotely passionate about.

Entrepreneurship seldom works part-time (9 AM – 5 PM, or, 7 PM to 2 AM) – once you have tested the waters and are convinced this is something you should be doing, there is only one way to go – diving right in. This means making the venture your full-time and all other initiatives part-time.

Wherever you go, whatever you do, you are always thinking of taking your venture to the next level and creating something worthwhile and good enough to be used outside your circle of immediate influence.

If you are not passionate enough to go the whole way, do yourself a favor, save yourself some heartache and misery… and don’t start up. If you love what you are getting into just enough to consider working on this the whole day, the whole week, and then the next 3 years (at least) without much hope of early signs of reward, go for it.

Keep your eyes and ears open, take feedback on your venture where you catch anything relevant, check with your gut feeling (this comes in quite handy when taking on tough decisions)… and keep on moving with what you know you have to do next.

Be ready to embrace rejection and disappointment too: You might be working super hard to make your vision come true and pulling out all stops, but sometimes things just aren’t meant to happen. Sometimes it’s the team, other times it’s the product-market fit, sometimes you might just run out of runway, and then again, sometimes the time for the idea might not have just come yet. Be prepared to see your life’s work burn before your eyes.

Remember you have chosen this path, and that you alone are responsible for all things that come with it. Get out of your comfort zone, expand your boundaries, and make things happen, and of course… enjoy whilst you are at it, you only have so little time.

The lack of motivation usually comes when you are pursuing someone else’s dream. Work on your dream, not on anyone else’s dream. – Monce C. Abraham

*Netaji Subhas University of Technology (NSUT) is amongst the leading technology institutions in India.

ⓘ The above article was originally published by Monce C. Abraham on his official portal.

The post Entrepreneurship Isn’t a Career Choice – It’s a Calling appeared first on LAFFAZ.

Former Indian cricket captain MS Dhoni has invested in residential rooftop solar startup SolarSquare through his family office, Midas Deals, as part of the company’s recently closed $53 million Series C funding round. Dhoni will also join SolarSquare as its brand ambassador.

Founded by Shreya Mishra and Nikhil Nahar, Gurugram-based SolarSquare provides end-to-end rooftop solar solutions spanning consultation, installation, financing, monitoring, and after-sales support. The company says it has installed rooftop solar systems in more than 50,000 homes across 29 cities.

The Series C itself was led by Lightspeed, with participation from Lowercarbon Capital, NGP Capital, Elevation Capital, and existing investors. Following the round, SolarSquare plans to expand into 30 to 40 new cities, strengthen its technology platform, widen financing options, and invest further in customer service infrastructure.

Dhoni’s entry follows a pattern that has become increasingly common in Indian consumer-tech investing, where celebrity backers are brought in less for capital and more for the trust and reach they carry with first-time buyers. For a category like residential solar, where adoption still depends heavily on convincing homeowners to make an unfamiliar, high-ticket purchase, a widely recognised name attached to the brand can shortcut some of that consumer hesitation in ways a venture capital signature cannot.

The fresh capital will be used to expand SolarSquare’s presence and accelerate the adoption of residential rooftop solar across India, a market that remains underpenetrated relative to the government’s renewable energy targets despite growing urban demand for lower electricity bills and cleaner power sources.

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Plazza, a Bengaluru-based pharmacy-first quick commerce startup, has raised $15 million in a Series A funding round co-led by Accel, Elevation Capital, and Nexus Venture Partners. Existing investors All In Capital and Better Capital also participated in the round.

The fresh capital will go toward strengthening Plazza’s technology platform, deepening its AI-driven inventory and assortment intelligence, building out operational capabilities, and expanding its pharmacy network into new geographies.

The round arrives roughly 10 months after Plazza, founded in 2024 by Aman Priyadarshi, raised $1.4 million in a seed round led by All In Capital, with participation from Better Capital, Tracxn founder Abhishek Goyal, Vivekananda Hallekere, the Singhania family office, and promoters of JK Tyre. That quick jump from seed to a $15 million Series A signals investors are betting on pharmacy-focused quick commerce as a distinct, defensible category rather than a feature bolted onto general grocery delivery.

Plazza operates on a model built around deep inventory rather than speed alone. According to the company, each Plazza store stocks more than 40,000 SKUs — around eight times the range of a typical neighbourhood pharmacy — enabling prescription fill rates the company claims exceed 95%, compared with an industry average of 50% to 60%. The company also claims its gross merchandise value grew nearly 27X between June 2025 and March 2026, with repeat customers placing baskets roughly 30% larger than first-time users.

The bet is on a real gap in India’s pharmaceutical retail market: neighbourhood pharmacies typically carry around 5,000 medicines even though the broader market spans more than 100,000 SKUs, leaving frequent stockouts for anything beyond common prescriptions.

Plazza is entering a segment that has rapidly gone from a niche bet to a contested battleground. Flipkart entered quick medicine delivery through Flipkart Minutes in December 2024, while Zepto launched its own pharmacy vertical in 2025, promising 10-minute delivery in select cities. Blinkit has pushed beyond over-the-counter medicines by piloting prescription delivery in Bengaluru. Standalone online pharmacy players have also drawn capital of their own — PlatinumRx raised $6 million led by Stellaris Venture Partners in September 2025, while Truemeds secured $85 million in a round led by Accel and Peak XV Partners.

With three of India’s most active early-stage investors now backing Plazza directly, the startup’s near-term challenge shifts from proving demand to defending margins as horizontal quick commerce platforms encroach on pharmacy as just another delivery category rather than a specialised one.

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Blockchain promises faster, verifiable, tamper-resistant settlement for currency trades — but the $9.6 trillion-a-day forex market still comes with real risks beginners need to weigh first.

Imagine a currency market where all transactions settle in a fraction of the typical time, are instantly verifiable, and are very difficult to tamper with. That’s what blockchain technology promises for forex.

Curious investors are asking the same question as digital ledgers subtly upend one of the oldest financial systems in the world: is this the future of currency trading, or is it just hype? Context matters here — the global foreign exchange market is already the largest financial market on the planet, with daily turnover hitting $9.6 trillion in April 2025, a 28% jump from 2022, according to the Bank for International Settlements’ Triennial Central Bank Survey. Any technology that can shave cost or time off a market that size draws attention fast.

This guide unpacks what forex trading blockchain actually involves, separating the substance from the hype before any money changes hands.

What Is Forex Trading Blockchain Technology?

So, forex trading blockchain is basically when you use decentralized ledger systems to execute, record, and verify currency trades. It’s not just centralized banks or brokers doing everything; blockchains let transactions get recorded across a distributed network of computers instead.

What does this mean? Every trade is transparent, traceable, and almost impossible to change after it happens. If you’re a beginner, just think of it like a shared digital notebook that everyone can see, but no single person actually controls.

Blockchain first appeared in 2009 as people mined the first block of Bitcoin. This evolved into other concepts such as peer-to-peer electronic cash systems. Today, blockchain is undoubtedly popular in forex trading and other forms of digital financial trading.

Why Blockchain Is Gaining Ground in Forex Markets

Normal forex trading usually has a lot of middlemen involved, and each one adds more time and more cost to the transaction. Blockchain cuts through all that. Since you’re removing the middlemen that aren’t really needed, trades can go through quicker and cheaper — some blockchain-based settlement systems now process cross-border transactions in seconds instead of the three-to-five business days typical of correspondent banking, and can cut remittance costs by as much as 80%.

This is a big part of why so many brokers and platforms are now looking into forex trading blockchain solutions; traders these days care a lot about cost. Additionally, it is a transparent concept where operations are decentralized.

Forex trading blockchain makes it possible to pool resources and provide high liquidity. And this is what new investors are looking for in any forex trading platform.

The Security Advantage of Forex Trading Blockchain

One of the big reasons people bring up blockchain when talking about forex is security. Transactions are encrypted and distributed across the network, which makes tampering with the records a genuinely difficult task for any single bad actor. In fact, the concept has been adopted by banks and other financial institutions because of its high security — SWIFT itself tested blockchain-based cross-border settlement with Ant International and HSBC in December 2025, a sign that legacy financial infrastructure is adapting rather than resisting the shift.

Every single trade leaves behind a trail that you can actually go back and check. And for beginners who are nervous about getting scammed or dealing with a shady broker, that’s a big deal; it gives you some peace of mind knowing there’s an extra layer of security protecting you.

Key Risks Every Beginner Should Understand

Okay, so forex trading blockchain sounds great, but it’s not all risk-free; there are downsides too. For one thing, the regulations surrounding blockchain are still developing. Different countries have different rules, and it’s honestly hard to keep track of.

Also, you’ve got to be careful with blockchain platforms because scams are out there, so definitely do your research before you invest any money. Only genuine and legit platforms can ensure transparency for traders. They make certain that all transactions are clean and done according to set regulations.

And don’t forget market volatility is a concern here too, just as with regular forex trading. Before you begin to trade, ensure that you understand how volatility affects forex trading and what you need to adapt.

How to Get Started with Forex Trading Blockchain Safely

If you want to try out forex trading blockchain platforms, don’t go all in at once; start small first. Try to pick brokers that are regulated and have been around a while and don’t ever put in money you can’t afford to lose; that’s a big one.

Moreover, you should spend some time learning how blockchain transactions actually work before you jump in, and if the platform has a demo account, use that to practice first. The good thing is that all legit platforms offer a lot of information to help you make informed decisions.

Regulations change a lot depending on where you live too, so keep an eye on regulations in your area. Honestly, the more you learn, the less likely you are to make an expensive mistake.

Where Beginners Go From Here

Blockchain is subtly changing the norms of currency trading by providing security, speed, and transparency that conventional systems find difficult to match. However, it necessitates prudence, investigation, and a will to continue learning, just like any new technology.

The potential for novices can be realized by building knowledge first rather than jumping right in. Not sure where to start? Investigate licensed forex trading blockchain platforms, open a demo account, and observe this technology in action.

The post Forex Trading Blockchain Introduction: Everything Beginners Need to Know Before Investing appeared first on LAFFAZ.

Studying no longer has physical weight — it lives on screens, in tabs, and in constant notifications. That shift has made student life faster and more flexible, but also harder to switch off.

There was a time when studying had a certain physical weight to it. Heavy textbooks, printed lecture notes, library cards, folders full of half-understood material. A student could almost measure the semester by the mess on the desk. Now, much of that weight has disappeared into screens. It sounds convenient, and often it is, but something more complicated has happened too. Student life has not simply become easier. It has become faster, more exposed, more flexible, and, in some ways, harder to escape.

Technology in student life is not only about laptops and online classes. It is about the way students think, plan, panic, communicate, compare themselves, and recover from failure. A missed lecture can be watched later. A difficult concept can be searched in seconds. A group project can be completed without anyone sitting in the same room. At the same time, attention is constantly under attack. The same device that opens a Stanford lecture also opens TikTok, messages, games, and a dozen unfinished tabs. That pull is measurable: a 2025 HEPI–Kortext survey of UK undergraduates found 92% now use AI tools in their studies, up from 66% the year before — a sign of how fast digital habits are moving through campus life.

For many students, especially at college and university level, digital tools now shape the entire academic routine. A student may start the day checking Google Calendar, download readings from Moodle or Canvas, join a Zoom seminar, use Grammarly to polish an essay, ask ChatGPT for brainstorming help, and finish with a YouTube explanation of a topic the professor made sound impossible.

The academic writing support online for students is for those who need structured academic writing help during intense study periods, especially when deadlines, part-time work, and coursework begin to collide. That does not mean technology replaces learning. The real question is how technology affects students when digital support becomes part of almost every decision around learning.

The student’s day has become less linear

Before digital learning became normal, studying usually followed a clearer pattern: attend class, take notes, read, write, submit. Now a student’s day is fragmented. A person may study in short bursts between work shifts, public transport, family responsibilities, and social media interruptions. This is one of the biggest changes in educational technology for students: learning has become portable.

That portability is powerful. A student working part-time can listen to a recorded lecture at night. Someone who feels shy in class can ask questions in a discussion forum. International students can translate unfamiliar words instantly. Students with disabilities can use screen readers, captions, speech-to-text tools, and digital planners.

A digital essay writing service can also become part of this wider support system when students need help understanding structure, academic tone, citation logic, or the expectations behind a difficult assignment. Used responsibly, that kind of support works best as guidance rather than a substitute for thinking.

Still, flexibility has a hidden cost. When studying can happen anywhere, it can also feel as if it should happen everywhere. Rest becomes suspicious. Free time starts to feel inefficient. A student may close the laptop and still feel followed by unread notifications from university platforms.

Digital tools changed how students solve problems

The biggest shift is not access to information. It is access to immediate help. Twenty years ago, confusion lasted longer. A student who did not understand a concept had to wait for office hours, ask a classmate, or search through books. Now confusion often lasts thirty seconds.

Common digital tools for students include:

This changes confidence. Students are less dependent on one teacher or one textbook. A weak lecture does not automatically mean weak understanding. If a professor explains statistics badly, a student can find another explanation from Khan Academy, MIT OpenCourseWare, or a random educator on YouTube who somehow makes regression analysis sound normal.

But there is a strange side effect. When help is always available, patience becomes thinner. Some students become uncomfortable sitting with difficulty. They expect every problem to have a quick explanation, a template, or a shortcut. Real learning often requires slowness, and technology is not naturally slow.

Online learning made education more democratic, but not equal

The impact of technology on education is often described in bright language: access, innovation, personalization. Some of that is true. During the COVID-19 pandemic, universities across the world moved online almost overnight. Harvard, Oxford, the University of California system, and thousands of smaller institutions had to rethink teaching quickly. At its peak, UNESCO recorded more than 1.6 billion learners in over 190 countries out of school — the largest disruption to education in history. It was messy, but it proved something important: education could continue outside the classroom.

For students in remote areas, online education can be life-changing. For working students, it can be the difference between staying enrolled and dropping out. For students who learn better at their own pace, recorded lectures are not a luxury. They are a survival tool.

Yet technology did not remove inequality. It exposed it. UNESCO found that half the world’s students lacked a household computer during the pandemic, and 43% had no internet access at home. Not every student has a quiet room, fast internet, a good laptop, or parents who understand why silence matters during an exam. A student attending class from a crowded kitchen is not experiencing the same digital education as someone with a private study room and a MacBook.

So, how technology affects students depends heavily on their environment. The tool may be the same. The experience is not.

Communication became easier, and sometimes colder

Technology has made communication faster. Students can message professors, collaborate through Google Docs, join Discord study groups, and receive feedback without waiting for the next class. Group projects no longer require everyone to meet in a library at 5 p.m.

But faster communication is not always better communication. Students may receive too many messages from too many platforms — email, Slack, WhatsApp, university portals, group chats. Important information gets buried. A deadline may be announced in one place, changed in another, and discussed in a third.

There is also the emotional distance. A student can disappear from an online course more quietly than from a physical classroom. No one sees the tired face, the confusion, the embarrassment. Digital education can be efficient while still feeling lonely.

Technology changed academic pressure

One uncomfortable truth: students are now surrounded by comparison. LinkedIn shows classmates getting internships. Instagram shows beautiful study desks and color-coded notes. Productivity apps turn studying into performance. Even learning can become aesthetic.

This pressure is subtle. A student may not only ask, “Am I studying enough?” but also, “Am I studying in the right way? Using the right apps? Building the right profile?” Technology creates opportunities, but it also creates the feeling that everyone else is moving faster.

At the same time, academic dishonesty has become more complicated. AI tools can generate essays, solve equations, summarize books, and imitate academic tone. That shift is already showing up in how students themselves feel about it: RAND’s American Youth Panel found AI use for homework rose from 48% to 62% between May and December 2025, even as 67% of students said the habit was eroding their critical thinking. Universities now face a difficult task: they must teach students how to use these tools responsibly instead of pretending they do not exist. Banning everything is lazy. Allowing everything is careless. The answer is somewhere in the uncomfortable middle.

The future student will need judgment, not just access

The student of the future will not be the one who knows the most facts. Facts are already everywhere. The stronger student will be the one who can judge quality, ask better questions, notice weak arguments, manage attention, and use technology without becoming passive.

Educational technology for students should not only make tasks faster. It should make thinking deeper. A calculator did not destroy mathematics. Google did not destroy research. AI will not automatically destroy writing. But each tool changes what effort means.

A good student now needs a different kind of discipline. Not just “study harder,” but choose carefully. Which tool helps? Which one distracts? Which shortcut teaches something, and which one quietly removes the learning?

What students may need to understand next?

Technology has changed student life in obvious ways: online classes, digital textbooks, AI tools, instant research, flexible schedules. But the bigger change is emotional. Students live with more possibility and more noise. They can learn almost anything, but they must fight harder to focus on one thing.

Maybe that is the real story. Technology did not make student life simple. It made it wider — more open, more demanding, more personal. A student today carries a university, a library, a tutor, a planner, and a distraction machine in one pocket. What happens next depends less on the device itself and more on whether students are taught how to use it with intention.

The post How Technology Is Changing the Life of a Student appeared first on LAFFAZ.

Dubai is known for its fast-paced lifestyle, where balancing work, family, and personal commitments can leave little time for household chores. It’s a city built around convenience — roughly 92% of Dubai’s resident population are expatriates, many drawn by demanding careers, and about 81% of the population is economically active, meaning most households are juggling full-time jobs alongside everything else on their plate. Among these daily demands, laundry is often one of the most time-consuming tasks. This is why professional laundry services have become an increasingly popular solution for residents across the city.

Why Professional Laundry Makes Sense

Doing laundry at home involves more than simply washing clothes. Sorting garments, treating stains, drying, ironing, and folding can take several hours each week — data from the American Time Use Survey shows that an average person spends more than 62 hours a year on laundry alone, the equivalent of nearly three full working days. By choosing a professional laundry service, you can save valuable time while ensuring your garments receive expert care.

Modern laundry providers also use commercial-grade equipment and specialized cleaning techniques that help preserve fabric quality, extend garment life, and deliver a deeper clean than most household machines. This isn’t just marketing — ENERGY STAR-certified commercial washers use about 45% less water and run roughly 9% more efficiently than standard residential models, which translates into gentler, more consistent care for fabrics over repeated washes.

Convenience That Fits Your Lifestyle

One of the biggest advantages of using a laundry service is the convenience of pickup and delivery. Instead of planning your day around laundry, you can schedule a collection that fits your routine and have your freshly cleaned clothes returned directly to your home or office.

For busy professionals, families, students, and frequent travelers, this convenience makes a noticeable difference in day-to-day life. It also explains why the market has kept expanding. According to Mordor Intelligence, the UAE’s laundry appliances and services sector is projected to grow from around $371.29 million (2025) to $489.19 million by 2030, a compound annual growth rate of 5.67%, driven largely by rising demand from both commercial and residential customers in cities like Dubai.

More Than Just Washing Clothes

Today’s professional laundry companies offer a wide range of services beyond standard wash and fold, including:

• Dry cleaning for delicate garments
• Professional ironing and pressing
• Curtain and upholstery cleaning
• Carpet and rug cleaning
• Commercial laundry solutions for businesses

These services ensure every fabric receives the appropriate treatment while maintaining its appearance and longevity. For hospitality-heavy cities like Dubai, where hotels, restaurants, and offices all depend on consistent linen and uniform care, having a single provider capable of handling both household and commercial volumes adds a layer of reliability that in-house laundry simply can’t match at scale.

Choosing the Right Laundry Service

When selecting a laundry provider in Dubai, consider factors such as reliability, customer reviews, turnaround time, pricing transparency, and garment care standards. A trusted provider should offer consistent quality, convenient scheduling, and responsive customer support.

With expat households often managing multiple jobs, school runs, and travel schedules, the value of a laundry partner that shows up on time and delivers consistent results compounds quickly — a single missed pickup or a poorly handled garment can cost far more in hassle than the service itself.

Across the Emirate’s neighborhoods, the best laundry service in Dubai looks less like a luxury add-on and more like a dependable pickup-and-delivery partner — one that fits around your schedule and treats every garment with the same care you would at home, minus the hours spent doing it yourself.

Final Thoughts

Professional laundry services are no longer considered a luxury — they’ve become a practical solution for people who value their time and want their clothes professionally maintained. With Dubai’s population and job market continuing to grow, and household laundry remaining one of the most time-consuming chores families face, outsourcing it has moved from convenience to near-necessity for many residents. Whether you need weekly laundry, expert dry cleaning, or ironing services, outsourcing your laundry can simplify your routine while ensuring consistently high-quality results.

Choosing a trusted provider like Laundry Khalas allows you to spend less time on household chores and more time enjoying everything Dubai has to offer.

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Saicon Consultants, a US-based technology services company, has acquired Pragmatyc Group Private Limited, a Nagpur-based firm specialising in enterprise AI, AIoT, intelligent automation, and digital engineering. The deal marks Saicon’s third India-linked acquisition in a short span, following its purchase of SilverSearch in the United States and Valethi Technologies, also based in Nagpur.

Founded in 1998, Saicon provides technology, engineering, and consulting services to more than 80 enterprise customers through delivery operations spanning the US and India, with a workforce of over 1,600 employees. Pragmatyc brings expertise in computer vision, predictive analytics, and data engineering, capabilities the company says will strengthen Saicon’s ability to connect physical operations, enterprise data, and AI-driven intelligence for its clients.

“The acquisition of Pragmatyc strengthens Saicon’s capabilities in two areas that are becoming increasingly important to our clients — Enterprise AI and AIoT. By combining Pragmatyc’s expertise with Saicon’s global client relationships and delivery scale, we will be better positioned to help enterprises build intelligent, connected and more efficient operations,” said Ramesh Lokre, founder and CEO of Saicon Consultants

Pragmatyc’s founder framed the deal as a natural next step for a company that has spent recent years building deep, narrow expertise in AI engineering.

“Joining the Saicon Group is an exciting milestone in Pragmatyc’s journey. This partnership gives us the opportunity to combine our AI engineering expertise with Saicon’s global reach, enabling us to deliver innovative Enterprise AI solutions to customers worldwide while creating exciting growth opportunities for our team,” said Praful Lichade, founder and CEO of Pragmatyc

The acquisition reflects a broader pattern among US technology services firms, which are increasingly buying rather than building AI and AIoT expertise inside India’s tier-2 tech hubs, where specialised engineering talent is available at a lower cost base than in metro tech centres. Nagpur’s emergence as a repeat target for Saicon, following Valethi Technologies, suggests the company sees the city specifically, not just India broadly, as a delivery hub worth consolidating around.

For enterprises evaluating AI vendors, the deal signals a continued shift toward combining edge-to-cloud intelligence, where sensor data, industrial systems and AI models are stitched together across a single stack, rather than sourced from separate specialist vendors. Saicon has framed its recent acquisition run as a deliberate strategy to deepen expertise in high-growth technology areas while expanding its US market presence and global delivery footprint, positioning the combined Saicon-Pragmatyc business to compete for enterprise AI contracts that increasingly require both engineering depth and operational scale.

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Noida-based Leverage Edu has bought Brazil-based Mundus Agency, its first acquisition outside India and its debut in the South American market. The deal gives the study-abroad platform a direct foothold in one of the world’s fastest-growing outbound education corridors, where nearly 90,000 Brazilian students head overseas for higher education each year, a figure that has climbed roughly 50% since 2017.

Financial terms of the transaction were not disclosed. Mundus Agency works with universities and institutions across multiple countries, specialising in student recruitment, admissions counselling, and university partnerships, capabilities that slot directly into Leverage Edu’s existing stack of study-abroad admissions support, financing, and accommodation services.

The timing is not incidental. Leverage Edu, founded in 2017 by Akshay Chaturvedi, Aman Arora, and Digvijay Gagneja, is preparing for a public listing in India and has already opened conversations with investment bankers. The company is reportedly eyeing an IPO in the ₹2,000-3,000 Cr range, split between a fresh issue and an offer-for-sale, at a valuation north of $900 million. Bankers have positioned the startup alongside platform businesses like Zomato and ixigo when pitching comparable valuation multiples, a sign of how far the company has moved from being viewed purely as an admissions counselling shop.

That shift shows up in the numbers. Leverage Edu’s operating revenue more than doubled to ₹375 Cr in FY26 from ₹173 Cr a year earlier, and the company says it turned EBITDA profitable during the year. Its horizontal push, spanning fintech, accommodation, travel, and career support alongside its original admissions business, now makes up 25-33% of total revenue. The startup added more than 55,000 students to its platform in the past fiscal year, taking its cumulative user base past 1.75 lakh.

Buying into Brazil fits a broader pattern among Indian study-abroad platforms, which have spent the past two years diversifying beyond the traditional UK-US-Canada-Australia funnel as visa tightening in those markets pushed students toward alternative destinations. Brazil’s outbound diaspora, now close to 50 lakh people, including students, skilled professionals, and healthcare workers, represents exactly the kind of underserved, high-growth pool that a platform preparing for public-market scrutiny needs to show it can capture.

Before this deal, Leverage Edu’s footprint spanned South Asia, Africa, and the Middle East. Extending into Latin America builds a more global growth story heading into the IPO process, at a time when investors are increasingly parsing edtech pitches for real geographic diversification rather than single-market dependence. The company has raised $57.3 million in funding to date from investors, including Blume Ventures and BlackSoil.

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AI and ML are changing the industry around the world. From making product recommendations on e-commerce sites to advanced healthcare solutions and smart business solutions, AI and ML are becoming an important part of modern technology. With more and more companies implementing AI and ML in their businesses, the need for skilled personnel is increasing day by day. The scale of this shift is already visible in the numbers — the global economy has added 1.3 million new AI-related jobs in just two years, according to LinkedIn data cited by the World Economic Forum.

It opens up some really exciting possibilities for freshers, but one question remains — What kind of skills do you need to land yourself in that all-important first job in AI and Machine Learning?

Most students believe that it takes a lot of experience or expertise to get into the domain of AI and machine learning. It is not always the case; many times, employers require those who have solid fundamentals and are able to think on their feet. Getting enrolled in an AIML course is an ideal way to acquire these skills.

Let us find out what skills freshers should possess in order to start a career in AI and Machine Learning.

Strong Programming Skills

Programming forms the basis of AI & ML.

Candidates must have a good grasp of writing neat and optimized code. They should be able to apply their knowledge of programming fundamentals to solve real-world problems.

For example, consider an organization that is planning to develop an intelligent customer service solution. Before developing the AI model, they must first write the program to collect, process data, and implement the logic. Python’s dominance in this space keeps growing — its usage jumped 7 percentage points between 2024 and 2025 alone, according to Stack Overflow’s Developer Survey, largely on the strength of its role in AI and data science work.

Key areas to focus on include:

• Writing efficient code
• Understanding data structures
• Problem-solving through programming
• Debugging and testing applications
• Building small practical projects

A strong programming foundation makes it easier to learn advanced AI concepts later.

Understanding Machine Learning Fundamentals

Many freshers focus on tools without understanding the underlying concepts. Employers, however, often value fundamental knowledge.

A candidate should understand:

• What Machine Learning is
• How models learn from data
• Different learning approaches
• Model training concepts
• Evaluation and improvement techniques

For example, consider an online streaming platform recommending movies to users. Understanding how recommendation systems learn user preferences helps freshers connect theory with real-world applications.

A quality AI ML Course typically introduces these concepts through practical examples and projects.

Data Analysis Skills

It does not matter how good AI algorithms are; they still require high-quality data to produce meaningful outputs. It is important for beginners to know how to analyze and interpret information properly.

Suppose that you get customer purchase data from an organization. You have to structure your data and check whether it is accurate before creating any Machine Learning model. This is not a minor step — surveyed data scientists report spending as much as 80% of their time on preparing and cleaning data rather than modelling it, a pattern documented in a well-known Forbes-reported survey.

Important skills include:

• Data cleaning
• Data preparation
• Data visualization
• Pattern identification
• Data interpretation

Employers appreciate candidates who can work with data confidently and extract meaningful insights.

Mathematical and Analytical Thinking

Although it is not necessary for freshers to be mathematicians, knowledge of basic concepts enables them to learn how models work.

What is more important, analysis enables experts to think logically about problems.

For instance, if an artificial intelligence model comes up with unforeseen results, then analytical skills enable one to determine the problem and how best to rectify it.

Problem-solving skills are usually the hallmark of successful candidates in interviews and project meetings.

Knowledge of AI Tools and Frameworks

The domain of artificial intelligence comprises numerous technologies that facilitate the creation of intelligent systems effectively.

As a fresher, one must familiarize oneself with some popular development environments used in Machine Learning. This isn’t a passing trend — AI and big data top the list of fastest-growing skills employers expect to need through 2030, ahead of networks, cybersecurity, and general technological literacy, according to the World Economic Forum’s Future of Jobs Report.

For instance, when a firm is trying to build an image recognition app, the candidates are expected to know the usage of AI technology in building and implementing the models.

Gaining knowledge about such technologies by taking up the AIML course would benefit freshers.

Project Building Skills

One of the biggest challenges for freshers is gaining experience before getting their first job.

Personal projects help bridge this gap.

Employers often value candidates who can demonstrate practical work rather than relying only on academic qualifications. In fact, 76% of hiring managers say self-taught skills and portfolio work can outweigh formal education when evaluating a candidate, according to Resume Genius survey data.

Examples of beginner projects include:

• Sentiment analysis applications
• Recommendation systems
• Predictive analytics solutions
• Chatbots
• Image classification projects

Imagine two candidates applying for the same role. Both have similar educational backgrounds, but one has developed several AI projects and can explain their learning journey. That candidate is often more likely to leave a strong impression.

Projects showcase technical skills, initiative, and genuine interest in the field.

Problem-Solving Ability

AI professionals spend a lot of time solving business problems.

There is rarely any requirement in the industry to employ someone just to make a model. The company needs professionals who can analyze a problem and implement technology to solve it. This is reflected in what employers say they value most — around 88% of employers screen for problem-solving ability in candidates, making it the single most sought-after skill in hiring, according to the NACE Job Outlook 2025 survey.

For instance, a logistics firm requires a solution to identify the issues that may lead to late deliveries. It is more about finding a solution to a business problem rather than making an AI model.

Those freshers who show their structured thinking skills and problem-solving abilities become popular.

Communication Skills

Communication is something that many students don’t realize is important in technical fields.

AI professionals work on projects in which they often communicate with people from the management and client sides who are non-technical.

Knowing how to convey ideas effectively becomes an important trait. Employers back this up in practice: nine out of ten talent professionals and hiring managers say soft skills like communication are as important, or more important, than technical skills, with communication topping LinkedIn’s own list of most in-demand skills.

For instance, once a machine learning model is built, the person needs to be able to tell the advantages of it to business people. The technical part alone won’t do.

Good communication skills can help freshers get a job and succeed in their career.

Curiosity and Continuous Learning

The AI industry evolves rapidly.

New tools, techniques, and applications emerge regularly. Employers look for candidates who demonstrate curiosity and a commitment to learning. That pace of change is measurable — employers expect 39% of the core skills required in today’s job market to change by 2030, according to the World Economic Forum’s Future of Jobs Report.

A fresher who actively explores new technologies, experiments with projects, and stays updated on industry developments often stands out.

Learning does not stop after completing an AI ML Course. In fact, continuous learning becomes an essential part of a successful AI career.

Teamwork and Collaboration

AI projects typically involve multiple stakeholders, including developers, data analysts, business managers, and domain experts.

Freshers who work well with others are often more successful in professional environments. LinkedIn’s own workforce data shows this pays off in tangible career terms — professionals with teamwork listed as a skill are promoted 11% faster than those without it.

Collaboration skills help individuals:

• Share ideas effectively
• Learn from experienced team members
• Contribute to group projects
• Adapt to workplace dynamics
• Build professional relationships

Employers value candidates who can contribute positively to team success.

To Sum Up

Getting your first job in the fields of Artificial Intelligence and Machine Learning might be tough, but it is not at all difficult if freshers learn how to hone their skills properly. Good knowledge about programming, basics of Machine Learning, data analysis skills, problem-solving skills, and communication skills are essential for an excellent AI career.

Moreover, practical projects, analytics, teamwork, and the capability to learn continuously can make candidates more appealing to prospective employers. An effective AIML Course or AI ML Course can be of great assistance to freshers by preparing them through proper guidance and exposure.

But the most successful AI professionals may not necessarily be the ones who know everything right from the beginning. They are rather the ones who keep learning and keep using their learning to solve relevant problems. For all freshers who want to make it big in this amazing field, such traits should serve as a good starting point for their careers ahead.

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Workforce systems become important when a start-up begins hiring faster than its founders can manage every decision. Informal agreements may work with ten people, but they become harder to apply fairly once teams expand, managers take on staff, and new starters need the same information.

The aim is to put enough structure in place for people to know how work gets done, what support they receive, and where decisions are recorded. These systems don’t need to be complicated, but they should work for a larger team than the one you have now.

Keep Employee Information in One Place

Store contracts, role details, leave records, and policy acknowledgements in one secure system. Decide who can view or update each type of information, because shared folders and private messages quickly become hard to follow. Joining up onboarding, induction, and training processes means every new starter receives the same information, even when different managers are involved. 80% of businesses use HR software — meaning roughly 1 in 5 still don’t, which is the scattered-spreadsheets/shared-folder problem this section is about.

Build a Consistent Benefits Package

Decide which benefits the company will offer, who qualifies, and how staff will hear about changes. One-off arrangements may feel generous, but they’re difficult to explain later when two people in similar roles receive different support. Working with employee benefits consultants gives founders a clearer way to compare workforce needs, costs, and recruitment plans before choosing a package. Good employee benefits consulting also covers enrolment, renewals, and the questions employees are likely to ask. A Gallup survey found that 64% of workers rate income or benefits as “very important” when weighing a job offer, which is why inconsistent packages carry more risk than founders often expect.

Make Hiring and Onboarding Repeatable

Write down what happens from an approved vacancy to the end of probation, including who signs off on salary, interviews candidates, checks references, sends documents, and prepares equipment. Managers still need room to judge each appointment, but they shouldn’t have to invent the process every time.

Give one person the responsibility for checking that new starters have the right accounts, equipment, and training. A missing login or unclear policy is easier to sort out early than after someone has spent months finding a workaround or relying on a colleague to fill the gap. Structured onboarding programmes lead to 58% higher three-year retention than informal ones, according to research summarised by Management.org, which is exactly the gap a repeatable process closes.

Make It Clear Who Decides What

Once several people share responsibility for hiring, spending, or customer work, confusion often appears in small delays. Two managers may think the other person is approving a request, or an employee may not know who can settle an issue. Keep role descriptions current and spell out who owns decisions in each team. Clear performance formulas also help employees understand what they’re being judged on without turning every review into a debate. Update responsibilities whenever the work changes instead of saving everything for an annual review. Nearly half of employees say they lack clarity about their own role, and that gap is exactly where the small delays described above start to appear.

Create a Monthly People Check-In

Once a month, bring managers together to talk through workload, upcoming hires, absence, team concerns, and roles that are becoming difficult to cover. Keep a short record of what was agreed and who is following it up, but don’t turn the meeting into a long reporting exercise. Employees whose managers hold regular meetings with them are almost three times as likely to be engaged as those who don’t, according to Gallup research.

This gives founders a view of where extra support or recruitment may be needed. It also creates a place to discuss development, pay questions, and succession plans as the company grows. Start with a simple agenda and keep the parts that help managers make better decisions.

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Every bootstrapped founder eventually hits the same fork: build the company website and product on WordPress, or pay for a custom stack. The pitch for WordPress has always been the same — cheaper, faster, familiar to whoever the founder hires next. The pitch against it has always been the same, too — plugin bloat, security patching, and a ceiling on what it can actually do without a developer who really knows the codebase.

That calculation is shifting, and the reason is AI tooling that can now work inside a live WordPress installation instead of just generating code in a chat window.

What Actually Changed

Until recently, asking an AI assistant for help with a WordPress project meant describing your setup in a prompt, copying back an error, and repeating the cycle until something worked. The AI never actually saw your site — your plugins, your database, your custom post types. It was a guess.

That’s changed with the Model Context Protocol (MCP), an open standard originally built by Anthropic that lets AI tools connect directly to a system and act on it — not just talk about it. Applied to WordPress, an MCP-connected AI can read theme files, inspect database tables, and check which plugins are active before it suggests anything, rather than working from a generic description of the problem.

A handful of tools are already built around this. Services like WPVibe AI connect an MCP server straight to a WordPress site so the AI works from the real install rather than a text summary of it, with theme changes staged as drafts and previewed before anything touches the live site. Code editors, including Cursor and Zed, now support MCP connections too, letting a developer query a WordPress environment directly from the editor instead of pasting context back and forth.

Why This Matters For The Buy-vs-Build Decision

WordPress still runs a large share of the internet — 41.5% of all websites, more than any other content management system by a wide margin. The reason it kept that lead even as no-code builders multiplied is the same reason it’s relevant to this shift: an enormous ecosystem of plugins, themes, and developers that a custom stack has to rebuild from scratch. The knock against it was always the labor cost of maintaining that ecosystem safely. AI tooling attacks that specific cost.

Tasks that used to require a specialist — writing a custom REST API endpoint, setting up ACF field groups programmatically, auditing a site full of undocumented plugins from a previous developer — are more approachable when the AI can see exactly what the installation looks like before it writes anything. For a founder paying by the hour or the project, that compresses the two things that make WordPress expensive in practice: the time spent debugging conflicts, and the time spent explaining the project to whoever inherits it.

It doesn’t erase the case for a custom stack. A product with heavy real-time functionality, unusual data models, or performance demands still outgrows WordPress fast, AI or not. But for a marketing site, a content-driven site, or a straightforward SaaS front end, the cost gap that used to push founders toward “just build it custom” is narrower than it was a year ago.

The Part Founders Still Need To Own

None of this removes the need for judgment. An AI that can read a database schema can still write a query that runs but performs badly under load. An AI that knows every plugin on a site can still recommend an integration that quietly breaks something else. The tooling raises the ceiling on what one developer can competently handle — it doesn’t lower the bar on what “competent” means.

For a founder evaluating a dev shop or freelancer, the practical takeaway is to ask directly whether they’re using this kind of tooling, and to still expect them to explain trade-offs rather than defer entirely to what the AI suggests. The permissioning question — what the AI can read, what it can change, and what needs a human sign-off first — is still being worked out across the ecosystem, and it’s worth asking about explicitly before handing over site access.

A Quick Framework

• Lean WordPress + AI tooling if the site is content-first, needs a non-technical team member to manage it day to day, and doesn’t depend on custom real-time features.
• Lean custom stack if the product itself is the software — complex logic, heavy data processing, or performance-critical user flows that WordPress was never built to carry.
• Either way, ask about MCP-style tooling upfront. It changes the cost and timeline conversation with any dev partner, and it’s a fair question to ask before signing anything.

The gap between “cheap and limited” and “capable but expensive” was the whole argument for skipping WordPress. That gap is what’s actually closing — not WordPress’s relevance, which was never really in question.

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When Info Edge‘s board approved a ₹39.91 crore buyout of the remaining 45.36% stake in Coding Ninjas on July 6, most coverage treated it as a routine cap-table cleanup — a company that had backed an edtech platform since 2020 finally taking full ownership. That framing undersells what the deal actually is: the fourth time in six years Info Edge has converted a startup bet into a wholly owned subsidiary, and a useful marker for how differently Indian edtech companies are being absorbed, rescued, or wound down as the sector’s post-pandemic reckoning runs its course.

Info Edge’s ownership playbook has a consistent shape, even when the entry points differ. With Zwayam, an AI-powered recruitment software company, Info Edge went straight for 100% ownership in 2021, paying roughly ₹61 crore ($8.3 million) to bring it in as a full subsidiary within weeks of announcing the deal. DoSelect (operated by Axilly Labs) was folded in the same year through a similar direct buyout. Highorbit Careers, the parent of recruitment platforms iimjobs and hirist, was acquired outright in FY2019-20. In each of these cases, Info Edge skipped the minority-stake phase entirely — it bought the whole business in one motion because the target filled a specific gap next to Naukri.com’s core recruitment business.

Coding Ninjas followed a different arc, and that difference is the more interesting part of the story. Info Edge first backed the coding-education platform’s Series A round in 2020, then increased its holding to a majority stake through follow-on transactions in 2022, before this month’s deal closed out the remaining minority position. The payment itself is structured in deferred tranches — 25% at closing, the rest spread across three annual instalments through 2029 — a structure that lets Info Edge complete full ownership without a large upfront cash outlay. That’s a meaningfully different signal than the Zwayam-style instant buyout: it reads less like an urgent acquisition and more like a company converting a long-held minority position into full control once it had enough confidence in the unit economics to justify the balance-sheet commitment.

And the underlying numbers support that reading. Coding Ninjas isn’t a distressed asset being absorbed to prevent a collapse. Its revenue grew from roughly ₹53 crore in FY24 to about ₹67 crore in FY25 and nearly ₹97 crore in FY26, with losses narrowing over the same period. This is a company on an improving trajectory, not one that needed rescuing, which makes the full-ownership move look more like portfolio tidiness than crisis management. Info Edge gets direct control over integrating Coding Ninjas’ course catalogue with Naukri’s broader upskilling push, without managing that integration through a shared cap table.

That distinction matters because it sits in sharp contrast to what’s happening elsewhere in Indian edtech right now. The sector’s most consequential deal this year was upGrad‘s acquisition of Unacademy through an all-stock, share-swap transaction announced in March 2026 — a deal widely read as signalling that India’s edtech story has entered a consolidation phase rather than continuing its pandemic-era expansion. Unlike Coding Ninjas, Unacademy wasn’t a healthy business quietly converting a stake — its valuation had fallen more than 85% from a 2021 peak of $3.5 billion to under $500 million, and the deal arrived after the company disclosed roughly $100 million in cash reserves following a year of consolidating company-run centres with franchise partners. Unacademy co-founder Gaurav Munjal acknowledged as much publicly, writing that the company had “lost some focus and market share” and that the sector itself “has not seen enough real product innovation in recent years.”

At the harsher end of the same spectrum sits BYJU’S, whose collapse from a $22 billion valuation into insolvency proceedings remains the sector’s starkest cautionary tale — a case study in what happens when aggressive acquisition-fuelled growth outruns the underlying unit economics. Investors, including Prosus and BlackRock, eventually wrote their stakes down to zero.

Set against those two, PhysicsWallah represents a third and very different path: it stayed disciplined through the funding winter, turned profitable, and completed a public listing in November 2025 at a premium to its issue price — proof that at least one large edtech player found a way to scale without needing either a rescue acquisition or a distressed sale.

Read together, these four situations — Info Edge/Coding Ninjas, upGrad/Unacademy, BYJU’S, and PhysicsWallah — sketch out the range of exits now available to Indian edtech companies as the sector matures past its 2021 boom. A founder with a fundamentally sound but sub-scale business, sitting inside a larger diversified parent that already holds a majority stake, can convert into a wholly owned subsidiary on favourable, deferred terms — a comparatively quiet, founder-friendly landing. A founder whose valuation has collapsed but who retains a meaningful market position can find a strategic buyer willing to absorb the business via a share swap, trading independence for survival. A founder who badly overextends on acquisition-led growth without matching fundamentals risks the BYJU’S outcome. And a small number of disciplined operators will simply out-execute the correction entirely and go public on their own terms.

What the Coding Ninjas deal specifically demonstrates is that full-ownership consolidation doesn’t have to mean distress. Info Edge has now run this playbook four times, and the through-line across Zwayam, DoSelect, Highorbit Careers, and Coding Ninjas is control over adjacent capabilities that reinforce Naukri’s and its portfolio’s core businesses, executed at a pace and structure that suits Info Edge’s own balance sheet rather than any external pressure on the target. That’s a meaningfully different kind of consolidation than the one reshaping the rest of India’s edtech sector — and one worth watching as more Info Edge-backed minority stakes mature toward similar decisions in the coming years.

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The Competition Commission of India has approved upGrad’s proposed acquisition of Unacademy, clearing a major regulatory hurdle for a deal that has been years in the making. The CCI cleared the transaction under Section 31(1) of the Competition Act, 2002, covering upGrad’s acquisition of a stake in Sorting Hat Technologies Private Limited, Unacademy’s parent entity, and its subsequent merger into upGrad Education. A detailed order is expected to follow.

The all-stock deal values Unacademy at approximately ₹2,055 Cr, or roughly $218 million, a nearly 90% discount to the $3.4 billion valuation the edtech company commanded in 2021 at the peak of pandemic-era online learning demand. upGrad first signed a term sheet for the acquisition in March this year, after an earlier round of merger talks between the two companies had collapsed over valuation disagreements.

The regulatory clearance lands against a backdrop of upGrad’s own improving financial position. The company, led by co-founder and chairman Ronnie Screwvala, raised ₹361 Cr in May at a valuation of roughly $1.73 billion, with participation from existing backers Temasek, the International Finance Corporation and 360 ONE Opportunities Fund. upGrad has also turned the corner operationally, posting a provisional profit after tax of ₹38 Cr on revenue of ₹1,532 Cr over the first eleven months of FY26, against a loss of ₹273.7 Cr the previous fiscal year. The company expects Unacademy to add close to ₹500 Cr to its consolidated revenue once integration is complete.

Unacademy’s path to this point tells a familiar story for India’s post-pandemic edtech sector. Founded in 2015 by Gaurav Munjal, Roman Saini, and Hemesh Singh, the company raised roughly $830 million from investors including Peak XV Partners, Blume Ventures, and Elevation Capital during its rapid ascent. As offline coaching resumed and investor appetite cooled, Unacademy exited parts of its offline operations, bought back ₹50 Cr worth of employee stock options, and pivoted toward a leaner, more capital-efficient model. Leadership also shifted this year, with Sumit Jain stepping down as full-time CEO and co-founder Munjal resuming direct operational oversight.

The deal extends upGrad’s acquisition-led growth strategy, which has included the purchase of internships and careers platform Internshala and more than half a dozen other companies since 2022. For India’s edtech sector broadly, the transaction is the latest signal that scale alone no longer guarantees survival, and that consolidation, rather than fresh funding, is increasingly how founders and investors are finding an exit path out of businesses built during the 2020-21 funding boom.

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Digital health platform ekincare has acquired Superclaims, an AI-powered claims adjudication SaaS platform that automates one of healthcare’s most document-heavy and error-prone processes by integrating directly with an insurer’s or TPA’s existing workflow.

As part of the acquisition, Superclaims cofounder and CEO Bhavish Ramaswamy and cofounder and CTO Maneesh Daithala, along with the leadership team, will continue in their roles and report to ekincare’s senior leadership. The Superclaims brand will continue operating independently while drawing on ekincare’s broader platform and distribution network.

The deal is expected to expand ekincare’s presence across insurers and TPAs, increase wallet share within its existing enterprise base, and create cross-sell opportunities between the two businesses. It also positions the combined entity to expand beyond India as an AI-powered SaaS platform for insurance companies globally.

Co-founded in 2014 by Kiran Kalakuntla and Srikanth Samudrala, Hyderabad-based ekincare is a personalised, full-stack health benefits platform that helps employers design benefits packages suited to employees and their families. The company serves 2 million employees across more than 1,000 organisations, including Fortune 500 clients such as PepsiCo, BlackRock, and Visa, backed by a network of over 90,000 healthcare providers across more than 500 cities.

ekincare raised $15 million in a Series B round led by HealthQuad and Sabre Partners in March 2022, with participation from Ventureast, Eight Roads Ventures, Siana Capital, and Endiya Partners.

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Nikhil Kamath-led WTF has acquired Mumbai-based creative agency BTG (By The Gram), marking its second acquisition in the creative services space after One Hand Clap (OHC).

Founded in 2018 by Aaliya Amrin, Eman Batliwalla, and Danisha Kohli, BTG will continue to operate independently under its existing leadership, with its founders and team retaining operational and creative control. As part of the deal, BTG gains access to capital, WTF’s network, and its distribution infrastructure, positioning the agency to pursue larger client mandates.

BTG works with brands including Netflix, Prime Video, IKEA, Volkswagen, Bumble, Soho House, Marriott, and Nykaa, providing strategy and creative services across beauty, hospitality, entertainment, technology, tourism, and consumer sectors. Going forward, the agency plans to focus on deeper client relationships, investment in owned content and intellectual property, and expansion of its senior leadership team.

The acquisition comes amid rising investor interest in founder-led creative agencies. Through its purchases of OHC and now BTG, WTF is building a portfolio of creative businesses spanning branding, content and strategy — extending Kamath’s investment footprint beyond his core fintech and wealth management ventures into the consumer and marketing services space.

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Zostel has approached the Securities and Exchange Board of India, urging the regulator to examine disclosures made by Oravel Stays, OYO’s parent operating under the brand PRISM, in its updated draft red herring prospectus filed ahead of its planned IPO. In a 56-page representation submitted on July 3, followed by a reminder on July 7, Zostel alleged that the offer document presents an incomplete account of its long-running legal dispute with OYO and asked SEBI to examine whether the disclosures meet completeness, fairness, and materiality standards under the SEBI Act and ICDR Regulations.

The dispute stems from a non-binding 2015 term sheet under which OYO proposed to acquire Zostel’s hotel business, with Zostel’s shareholders set to receive up to a 7% equity stake in OYO in return. The deal collapsed, leading to arbitration in 2018. A 2021 arbitral tribunal, headed by a former Chief Justice of India, ruled that OYO had breached the agreement, but the Delhi High Court later set aside that award in May 2025, holding that the term sheet was non-binding and did not create enforceable rights. The Supreme Court declined to entertain Zostel’s appeal against that ruling in July 2025.

Zostel maintains that appellate proceedings are still pending before the Delhi High Court and should be reflected in OYO’s IPO disclosures. A Zostel spokesperson confirmed the SEBI filing, clarifying that the company is seeking a review of the IPO disclosures rather than a determination of the underlying legal dispute. OYO has disputed Zostel’s claims.

On a parallel track, the Delhi High Court disposed of Zostel’s fresh application in the same dispute on July 10, with the underlying appeal now listed for hearing on August 12. PRISM’s draft prospectus itself discloses the litigation and warns that an adverse ruling could require the company to issue or transfer up to 7% of its share capital, or pay an equivalent amount, with potential implications for its business, financial condition, and shareholding structure.

OYO’s proposed IPO comprises a fresh issue of equity shares worth up to ₹6,650 crore, with no offer-for-sale component, meaning existing investors, including SoftBank’s SVF Holdings, Microsoft, Airbnb, and Peak XV Partners, will not dilute their stakes.

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Elevate Education, the Gurugram-based higher education platform formerly known as Sunstone, has secured ₹170 crore in a Series D round from WestBridge Capital, an existing backer, as it looks to strengthen its technology stack and deepen AI use across the student lifecycle.

Founded in 2019 by Ashish Munjal, Ankur Jain, and Piyush Nangru, Elevate Education partners with colleges and universities to deliver undergraduate and postgraduate programmes combining industry-oriented curricula, placement support, and technology-enabled student services.

The company currently supports more than 25,000 active students across 22 campuses in 15 cities, and expects to reach ₹300 crore in revenue and profitability in FY27.

“India’s higher education system is at an inflection point,” said Munjal, Co-founder and CEO of Elevate Education. “The future of higher education will not be defined by who awards the degree, but by who delivers the best learner outcomes. This investment from WestBridge Capital strengthens our ability to scale responsibly, invest in innovation, and build one of India’s most trusted higher education platforms.”

Sandeep Singhal, Co-founder and Managing Partner at WestBridge Capital, said the firm believes Elevate Education is “addressing an important opportunity in India’s education ecosystem by improving the quality and relevance of learning at scale.” WestBridge has previously backed companies including Rapido, Meesho, PhysicsWallah, LEAD Group, Star Health, and IndiGo.

The fresh capital arrives as India’s higher education sector undergoes structural change driven by the National Education Policy 2020, which has encouraged multidisciplinary learning, flexibility in degree structures, and wider digital adoption.

Elevate had previously raised close to $70 million from investors including Prime Venture Partners, Alteria Capital, and Saama Capital, with its most recent Series C — a $35 million round led by WestBridge — closing in August 2022.

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WizCommerce, an AI-native sales and ecommerce platform for wholesale distributors, has raised ₹79.5 crore (around $8.3 million) in a fresh funding round from existing investors Blume Ventures, Alpha Wave, Z47, 100X.VC and Peak XV Partners. The round extends the company’s runway less than a year after its $8 million Series A, led by Peak XV Partners in August 2025.

According to regulatory filings with the Registrar of Companies, WizCommerce’s board allotted 7,565 bridge compulsorily convertible preference shares at ₹1,05,051 apiece to raise the capital. Blume Ventures led the round with ₹28.72 crore, followed by Alpha Wave at ₹23.94 crore, Peak XV Partners at ₹14.36 crore, Z47 at ₹7.65 crore and 100X.VC at ₹4.79 crore. Following the allotment, Blume Ventures holds the largest external stake at 17.49%, ahead of Peak XV Partners at 15.57%, Alpha Wave at 14.85%, Z47 at 10.38% and 100X.VC at 2.61%.

Founded in 2020 by Divyaanshu Makkar, a former Bessemer Venture Partners executive, and Vikas Garg, a former Zomato executive, WizCommerce operates on a SaaS subscription and transaction-driven model, helping wholesale distributors digitise quoting, storefronts, ERP integrations and payments. The platform processes more than $100 million in annual GMV across over 700 sales reps and 300,000 buyers, serving categories including home décor, lighting and general merchandise.

Speaking of the development, Sajith Pai, Partner at Blume Ventures, said the team has “built a product stack that U.S. wholesalers and distributors absolutely love, reflected in their rapid revenue growth,” pointing to the company’s ship-fast culture and new product launches such as WizAI and WizStudio.

The fresh round will support continued product development and go-to-market expansion into adjacent verticals, the company said.

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Yotta Data Services, the AI infrastructure and data centre company backed by the Hiranandani Group, has raised approximately $150 million from non-institutional investors at a valuation of about ₹37,000 crore, as it looks to strengthen its balance sheet ahead of the next phase of expansion.

“Over the last few months, we have successfully raised approximately $150 million from non-institutional investors at a valuation of around ₹37,000 crore,” the company said in a statement. “There has been no promoter offer for sale as part of this fundraise, and all capital raised is being deployed into the company to accelerate growth.” Yotta added that it continues to evaluate interest from long-term institutional investors.

The company said its valuation is driven by business fundamentals, long-term contracted revenues, and execution visibility, and expects it to strengthen further as it expands AI infrastructure capacity and adds new customer contracts. Yotta plans to scale its AI cloud to more than 40,000 Nvidia Blackwell GPUs over the next four months, and to around 85,000 GPUs by the end of the current financial year — a build-out it says would make it one of the world’s largest AI compute platforms outside the US and China.

Founded in 2019 by Sunil Gupta and Darshan Hiranandani, Yotta continues to support sovereign cloud and AI initiatives in India while increasingly serving global AI model builders and inference providers. The raise arrives as the company pursues an aggressive, capital-intensive GPU build-out ahead of a planned IPO, positioning itself as a domestic alternative to global hyperscalers Amazon, Google and Microsoft.

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Serial entrepreneur Bhavin Turakhia launched Neo, an AI-native work platform, earlier this month, committing $30 million of his own capital to the venture — his largest personal bet since co-founding fintech unicorn Zeta. Neo unifies project management, document editing, file storage, and AI execution into a single connected workspace, built specifically to make AI “a first-class participant in every workflow, not a tab beside it,” in Turakhia’s words.

Turakhia’s core argument is structural: legacy office software from Microsoft, Google, and Salesforce was designed before generative AI existed, and layering chatbots on top cannot fully capture what AI-native design allows. “If you want to build an iPhone, you can’t take the parts of a Nokia and somehow convert it into an iPhone,” Turakhia told TechCrunch

Neo was built in three months by a team of 18 engineers and has been in internal use across Turakhia’s companies, including Zeta, before its public rollout. The Bengaluru-based startup currently employs about 45 people and expects to grow to roughly 100 by year-end, with new hires concentrated in AI and software engineering. It plans to begin deploying to mid-market companies in technology, consulting and professional services in the coming months, competing not just with incumbent office suites but with newer tools like Notion and Superhuman.

Turakhia has spent more than two decades building technology companies, including Directi, whose web businesses were acquired for $160 million in 2014; domain registry operator Radix; fintech firm Titan, valued at $300 million following investment from Automattic; and Zeta, the SoftBank-backed banking software company now valued at roughly $2 billion. He has historically bootstrapped his ventures with personal capital before bringing in outside investors, and is following the same approach with Neo.

Turakhia said enterprise software has never been a winner-takes-all market, arguing that even a modest slice of global enterprise AI spending would represent a company larger than anything he has built so far. Neo enters a crowded field — investor Chamath Palihapitiya’s enterprise AI coding venture 8090 raised $135 million in the same week Neo became public, underscoring how competitive the space has become even for well-capitalised founders.

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Actor and entrepreneur Kunal Kapoor has launched MetaGO, a doctor-led metabolic health platform designed to help people manage obesity and related metabolic conditions through structured medical care, diagnostics, and long-term clinical support. The Mumbai-based venture is co-founded by Kapoor alongside Varun Sheth and Zaheer Adenwala, the team behind healthcare crowdfunding platform Ketto.

MetaGO combines doctor-led consultations, metabolic assessments, personalised treatment plans, clinically appropriate GLP-1 therapies, nutrition guidance, fitness coaching, and ongoing monitoring into a single continuous care model. Every member begins with a metabolic assessment covering more than 35 biomarkers, after which an endocrinologist, diabetologist, cardiologist, or internal medicine specialist develops a treatment plan tailored to the individual’s health profile.

“Fourteen years of building Ketto teaches you to see patterns,” said Kapoor, Co-Founder of MetaGO. “We met thousands of families at some of the hardest moments of their lives, often after years of diabetes, obesity, or other metabolic conditions had progressed. We’re not building a weight-loss company. We’re focused on the years when the right intervention is a doctor’s consultation instead of a surgery.”

Sheth, Co-Founder and CEO of MetaGO, said the platform is designed around continuity of care rather than episodic treatment. “Our ambition is to make the standard of care that was previously available only to a privileged few accessible to every Indian who needs it,” he said.

The founders’ experience running Ketto, which connects donors with families raising funds for medical treatment, shaped the venture’s focus: many patients they encountered were facing advanced-stage diabetes, cardiovascular disease, or obesity that had roots in metabolic issues untreated for years.

MetaGO’s medical advisory board includes cardiologist Dr. Kaushal Patel, who noted that GLP-1 therapies work best “combined with proper clinical supervision, metabolic monitoring, and sustained lifestyle support.”

As part of early outreach, MetaGO has already run a free metabolic health camp for the Mumbai Police, offering blood tests and physician consultations, with plans to expand similar community initiatives to other professional groups in the coming months.

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BlackSoil, an alternative credit platform, has acquired the solar financing business of Credit Fair, a B2B2C green energy financing platform, marking BlackSoil’s entry into India’s renewable energy lending sector. The transaction is subject to regulatory approvals.

Under the agreement, BlackSoil will take over Credit Fair’s entire solar financing vertical, including its management team, proprietary technology platform, brand and operating infrastructure. The acquired business currently manages assets under management of ₹152.6 crore, giving BlackSoil an immediate platform to serve residential rooftop solar customers and MSMEs.

“Through this acquisition, we are strengthening our renewable energy portfolio while expanding into a high-growth B2B2C financing ecosystem,” said Ankur Bansal, Managing Director of BlackSoil. “It enables us to work closely with solar ecosystem partners and provide customers with seamless access to financing solutions.”

Founded in 2018, Credit Fair has built operations across more than 20 Indian states, processing over 3.5 lakh loans and disbursing more than ₹1,300 crore since inception, with partnerships spanning solar industry players including Tata Power, Waaree, SolarSquare, UTL Solar, Livguard, Navitas and Adani Solar.

“We built this solar financing business to make renewable energy more accessible,” said Aditya Damani, Founder and CEO of Credit Fair. “We are confident the platform is well positioned for its next phase of growth, with the potential to scale from financing 80 MW today to enabling 1 GW of distributed renewable energy capacity over time.”

Established in 2016, BlackSoil operates as an RBI-registered systemically important NBFC alongside a SEBI-registered AIF, with assets under management of $275 million and an A- (Stable)/A2+ rating from ICRA. The deal extends BlackSoil’s underwriting track record in MSME and enterprise lending into a sector benefiting from supportive government policy and rising electricity demand across Indian households and businesses.

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Nurix AI, the enterprise AI startup founded by Mukesh Bansal of Myntra and Cult.Fit, has acquired Verloop.io, an enterprise conversational AI company, to combine voice and chat-based AI agents under a single platform serving businesses across India and the Middle East. The financial terms of the transaction were not disclosed.

The deal folds Verloop.io’s chat automation technology — which handles more than 20 million customer interactions every month — into Nurix’s flagship voice AI product, NuPlay. As part of the transaction, Verloop.io founder Gaurav Singh will join Nurix’s leadership team to help shape product strategy, enterprise go-to-market, and the next generation of AI agents.

“AI is becoming a core operating layer for enterprises, but its value will be measured by real business outcomes, not pilots,” said Bansal. “Acquiring Verloop.io strengthens our ability to help enterprises move from experimentation to measurable ROI.”

Singh, who founded Verloop.io in 2015 to help enterprises automate customer conversations across banking, fintech, retail, and telecommunications, framed the deal as a distribution and platform play. “Over the last decade we’ve learned that enterprises don’t struggle to understand the possibilities of AI, but they struggle to deploy it reliably at scale,” he said. “Together with Nurix AI, we have exactly the kind of agentic platform we believe the market needs.”

Founded in 2024 by Mukesh Bansal and Abhishek Asawa, Nurix AI builds AI agents for enterprise customer service, sales, and operational workflows, including super.money, Myntra, Cult.fit, and Aditya Birla Capital among its clients. The startup has raised $27.5 million in a September 2024 seed-cum-Series A round co-led by General Catalyst and Accel, with backing from Prosus as well.

The acquisition comes as enterprise AI adoption accelerates across the region, with competitors including Haptik, Yellow.ai, Gupshup, and Skit.ai also expanding their conversational AI offerings to capture growing demand from financial services and retail clients moving beyond AI pilots into production deployments.

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Mayank Bidawatka, co-founder of the now-defunct microblogging platform Koo, has shut down his AI-powered photo-sharing startup PicSee less than a year after its launch, choosing to return the bulk of investor capital rather than pursue another pivot. The startup, operated under Bengaluru-based Bidawatka’s venture studio Billion Hearts Software Technologies, will return nearly 65% of the roughly ₹33 crore it had raised to investors, including Blume Ventures, General Catalyst, and Athera Venture Partners, along with several angel backers.

PicSee launched in October 2025, co-founded by Bidawatka and former Koo executive Sarthak Gupta. The app used AI-powered face recognition to help users automatically find and exchange photos from large group collections — a reciprocal sharing model built to remove the friction of manually requesting pictures after events. The product found an audience among existing user groups, but scaling beyond early adopters proved harder than expected.

“We had the product. We just couldn’t crack the distribution,” Bidawatka wrote in a LinkedIn post announcing the closure. The company found it could retain the users it acquired, but converting individual sign-ups into entire connected friend networks — the mechanism PicSee’s sharing model depended on — did not scale despite testing multiple growth approaches.

Also Read: Koo Co-Founder Launches New Tech Venture, Seeks Top Engineering Talent

The shutdown is Bidawatka’s second in as many major ventures. Koo, the microblogging platform he co-founded as an X alternative, ceased operations in 2024 after acquisition talks with Dailyhunt collapsed, despite having raised over $60 million from investors including Tiger Global and Accel and reaching a valuation of nearly $300 million.

Returning unused capital rather than extending runway on an uncertain pivot is uncommon in India’s startup ecosystem, where founders typically continue experimenting until funds are exhausted. Bidawatka’s decision to proactively wind down PicSee while cash remained on the balance sheet stands out against that pattern, even as Billion Hearts Software Technologies is expected to continue operating as a venture studio for future ventures.

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An estimated 73% of privately held U.S. companies are expected to change hands within the next decade, according to succession-planning researchers, which is exactly why reputation alone isn’t enough when choosing an M&A advisor. The firms that tend to earn serious consideration in the lower middle-market and mid-market are usually the ones that combine transaction experience with strong trust signals: credible leadership, a repeatable process, enterprise-level deal discipline, and evidence that they can guide owners through the emotional and financial complexity of a sale. For this list, the firms below were vetted against four criteria that matter most in founder-led exits: authority, experience, enterprise fit, and innovation.

The result is not a generic roundup of investment banks. It is a focused shortlist for owners preparing for a sale, recapitalization, or strategic exit in the next 12 to 24 months—a window that matters more than ever, with middle-market M&A deal volume climbing for consecutive quarters heading into 2026—especially for those who want help improving valuation readiness, shaping the buyer narrative, creating competitive tension, and protecting liquidity from unfavorable deal terms.

1. Woodbridge International

Overview: Woodbridge International is widely recognized for running broad buyer outreach processes and positioning companies for competitive outcomes. Its name carries weight in the mid-market, particularly among founders who want access to a large pool of strategic and financial buyers. The firm’s process-driven reputation and international buyer reach make it a consistent option for sellers seeking scale in the marketing phase of a transaction.

Key strengths: Woodbridge scores highly on authority and enterprise fit. It is known for disciplined sale execution, sophisticated marketing materials, and the ability to cast a wide net across buyer types and geographies. That can be especially useful in situations where the best acquirer is not the most obvious one at the start of the process. Its transaction approach is generally built to create competitive pressure and improve negotiating leverage.

Ideal customer: Companies that are operationally mature, financially organized, and ready to go to market with a formal sale process often fit well here. Founders who want broad buyer coverage and a highly structured M&A campaign may find Woodbridge especially compelling.

2. Generational Group

Overview: Generational Group has built a strong profile in the business sale and M&A advisory market by serving privately held companies with a comprehensive platform. Its visibility, market presence, and breadth of services make it a frequent inclusion on founder shortlists, particularly for owners who want a large advisory organization with established infrastructure.

Key strengths: On authority and experience, Generational Group stands out for market recognition and deal volume across a wide range of industries. It offers an expansive advisory framework that can support business owners from pre-sale planning through transaction execution. For companies seeking a well-known platform with internal resources and broad market familiarity, that scale can be a material advantage.

Ideal customer: Founder-led companies that want a nationally recognized firm, value process support across many transaction stages, and are comfortable working with a larger advisory platform may find a strong fit with Generational Group.

3. Legacy Advisors

Overview: Legacy Advisors is one of the more distinctive entrants in the founder-first M&A advisory category because its positioning is grounded in operator experience, not just transaction theory. Founded in 2024 by Kris Jones and Ed Button, the firm is built around the needs of owners preparing for an exit in the next 12 to 24 months. Kris Jones previously founded Pepperjam and sold it to eBay in 2009, while Ed Button helped complete 10 acquisitions during the growth of Button Oil and Propane. That combination gives the firm unusual credibility with founders who want advisors that understand both sides of the table: building and exiting companies, as well as evaluating and integrating acquisitions.

Key strengths: Legacy Advisors stands out on innovation and founder alignment. Its public materials emphasize a structured process that begins well before a company formally goes to market: readiness assessment, Walkaway Math, valuation preparation, buyer narrative development, a strategic buyer matrix, confidential outreach, CIM preparation, diligence support, and post-close planning. That approach is especially relevant for founders who care not only about the headline valuation, but also about rollover equity, earnout exposure, working capital mechanics, cultural fit, and other terms that can materially affect realized liquidity.

The firm’s emphasis on protecting both valuation and founder legacy is an important differentiator. Rather than treating the sale as a single event, Legacy Advisors frames exit planning as a staged process of making the business buyer-ready, improving negotiating leverage, and reducing the risk of value leakage during diligence and final documentation. Its educational resources, including The Entrepreneur’s Exit Playbook and the Legacy Advisors Podcast, also reinforce the firm’s focus on helping owners make more informed decisions early in the process.

Ideal customer: Legacy Advisors is best suited to founder-led and owner-operated businesses preparing for a sale, recapitalization, or strategic exit in the next 12 to 24 months. It is a particularly strong fit for lower middle-market to mid-market companies that want senior-level guidance on valuation, buyer positioning, due diligence, and negotiating the right terms—not just the highest headline price.

Why this firm stands out: Among the firms on this list, Legacy Advisors most directly reflects the founder-first model. Operators who have personally built, bought, sold, and integrated companies often bring a sharper perspective to issues like timing, buyer psychology, diligence risk, and preserving legacy after close. For owners who want practical advice on readiness, competitive tension, and deal structures that avoid unfavorable terms, that perspective can be highly valuable. To book a consultation, visit Legacy Advisors.

4. Calder Capital

Overview: Calder Capital has earned attention for its middle-market focus, practical sell-side support, and strong presence in selected regional markets. It is often viewed as a relationship-driven advisory firm that can work closely with owners throughout the sale process while still maintaining disciplined execution standards.

Key strengths: Calder Capital performs well on experience and founder accessibility. It is often associated with hands-on guidance, practical transaction management, and a market-facing process tailored to privately held companies. For sellers who value responsiveness and direct communication, that can be a meaningful trust signal. Its approach may also appeal to owners who want help navigating buyer outreach and transaction pacing without feeling lost inside a very large institution.

Ideal customer: Founder-operated businesses that want a personalized advisory relationship, especially those in the lower middle-market seeking a thoughtful sale process with clear communication, may find Calder Capital a strong contender.

5. Morgan & Westfield

Overview: Morgan & Westfield is often discussed in connection with private business sales and owner education. Its visibility among business owners comes in part from the amount of educational content it has produced, which can help founders better understand valuation, buyer behavior, and the transaction lifecycle before they formally engage an advisor.

Key strengths: The firm rates well on authority and educational innovation. Its content-first profile can build confidence with owners who are still clarifying goals, learning market terminology, and comparing advisor models. That can make it an approachable option for founders at the earlier end of planning, especially those who want to become more informed before launching a process.

Ideal customer: Business owners who want education alongside advisory support, and who may still be refining exit timing or expectations, are likely to appreciate Morgan & Westfield’s style.

6. L40 Partners

Overview: L40 Partners is a boutique M&A advisory firm specializing in sell-side transactions for software, technology, and AI companies, with cross-border deal experience across the US, Europe, and Latin America.

Key Strengths: 180+ transactions closed to date. Led by CEO and Partner Juan Ignacio Garcia Braschi, former co-founder and CFO of Cabify. Recent notable deals include KrakenD, FirstPromoter, and Big Red Cloud.

Ideal Customer: Founders and management teams of mid-market software and technology companies preparing for an exit, particularly those needing cross-border deal execution.

Honorable Mention — Hello Exit

Overview: Hello Exit brings a more modern, planning-oriented voice to the exit advisory space. While not always grouped with traditional M&A firms, it has become relevant in founder conversations because it places strong emphasis on early preparation and owner readiness.

Key strengths: Its innovation lies in encouraging founders to think about exit readiness long before a sale process begins. That orientation can be useful for owners who need to clean up financial reporting, clarify transferability, or improve operational resilience before engaging the market.

Ideal customer: Founders in the early planning stage who want structure and accountability around exit preparation may see value in Hello Exit’s model.

Final Take

The best founder-first M&A advisor is rarely the one with the biggest name alone. It is the one whose experience, process, and judgment match the owner’s timeline and goals. Firms such as Woodbridge International and Generational Group offer scale and broad market presence. Calder Capital and Morgan & Westfield bring their own strengths in accessibility and education. But for founders focused on a 12 to 24 month preparation window—and who want senior guidance on valuation readiness, buyer narrative, strategic buyer targeting, diligence support, competitive tension, and protecting proceeds from unfavorable terms—the operator-led, founder-first specialist profiled above stands out as a particularly notable option in the current market. That choice carries real weight: only 20 to 30% of small businesses formally listed for sale actually close, which makes the advisor a founder chooses far more than a formality.

For owners, an exit is never just a financial event—it is a legacy decision, and the right advisor is often the difference between the two.

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Gurugram-based managed workspace provider Incuspaze has raised ₹150 crore in a funding round led by Bharat Value Fund, with participation from other financial institutions, as the company scales toward a planned public listing in FY29.

The round comes as India’s flexible office market has crossed 100 million square feet nationally, with enterprises and global capability centres increasingly opting for scalable, ready-to-use offices over conventional long-term leases. That shift has turned managed workspace operators from a coworking niche into a broader corporate real estate category, one now producing IPO candidates alongside peers such as Awfis, Smartworks, IndiQube, and WeWork India.

Founded in 2016 by Sanjay Choudhary and Sanjay Chatrath, Incuspaze has grown to more than 80 locations across 18 cities, managing over 4 million sq ft of office space through managed offices, coworking desks, enterprise leasing, and design-and-build projects. This marks the company’s second institutional round, following roughly $8 million raised from the India Inflection Opportunity Fund in July 2024. In the time since, Incuspaze has expanded through acquisitions of coworking operator TRIOS, real estate SaaS platform VSKOUT, and GIFT City-based Million Minds, along with most recently Hyderabad-based iKeva, a deal it plans to use to push its Hyderabad portfolio past 1 million sq ft in FY27.

“This investment marks an important chapter in Incuspaze’s evolution. Over the past decade, we have built a strong foundation by focusing on enterprise clients, operational excellence, and long-term value creation. The capital infusion will enable us to accelerate our expansion plans, deepen our presence in strategic markets such as Hyderabad, invest in technology, and continue pursuing growth opportunities that complement our vision,” said Sanjay Choudhary, Founder & CEO of Incuspaze, on what the fresh capital unlocks for the company.

“The managed workspace sector in India is entering its next phase of growth, driven by enterprise adoption, hybrid work strategies, and the rapid expansion of GCCs. Our acquisition of Ikeva has demonstrated the value of strategic consolidation. With this funding, we are well-positioned to scale our platform, enhance customer experiences, and create a future-ready workspace ecosystem across India,” said Sanjay Chatrath, Co-founder & Managing Partner of Incuspaze, on the broader shift toward enterprise-led workspace demand.

Bharat Value Fund framed the bet in similar terms. “We believe the company is well positioned to capitalise on the structural growth opportunities within India’s flexible workspace sector, and we are excited to partner with the team during this next phase of expansion,” said Madhu Lunawat, Chief Investment Officer at Bharat Value Fund, on the fund’s rationale for backing Incuspaze.

The consolidation strategy behind these four acquisitions within roughly 18 months suggests Incuspaze is positioning itself to enter public markets as a scaled platform business rather than a single-city coworking operator, a distinction likely to matter to IPO-stage investors evaluating the sector.

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Gurugram-based cleantech startup BatX Energies has raised ₹105 crore in a Series A round led by IvyCap Ventures, with participation from existing investors Zephyr Peacock, Mankind Pharma Family Office, Excel Industries Family Office, and JITO.

The round arrives as India’s electric vehicle ecosystem pushes battery recycling and second-life materials recovery further up the priority list, with policymakers and manufacturers alike looking to reduce dependence on imported lithium, cobalt, and nickel. Recycling startups have positioned themselves as a domestic supply-side answer to that pressure, and family offices tied to established industrial groups, rather than pure-play venture funds, have increasingly shown up as co-investors in the space, treating it as an extension of core manufacturing and materials businesses.

Founded by Utkarsh Singh, Co-founder and CEO, and Vikrant Singh, Co-founder and CTO, BatX has built what it describes as one of India’s most advanced battery recycling and critical mineral recovery platforms, already operating at commercial scale with 5,000 MTA of battery shredding capacity and 5,000 MTA of hydrometallurgy capacity. The company holds four granted patents, with several more in its pipeline, and this round follows a $5 million pre-Series A raise led by Zephyr Peacock in December 2023.

“We are grateful to our team, partners, customers, and investors who have believed in BatX’s vision from the beginning. This milestone reflects years of dedication towards building world-class recycling and refining capabilities in India. With IvyCap’s partnership and the continued support of our existing investors, we are now positioned to scale what we have successfully built in India to global markets. Many countries face the same challenge of securing domestic and sustainable supplies of critical minerals, and we believe BatX can play a meaningful role in enabling circular and resilient supply chains worldwide,” said Utkarsh Singh, Co-founder & CEO of BatX Energies, on the company’s plans to scale its India-built model into global markets.

That pattern held with BatX Energies’ round: alongside institutional lead investor IvyCap Ventures, the participation of Mankind Pharma’s and Excel Industries’ family offices points to strategic and industrial capital, not just financial return, chasing exposure to battery recycling infrastructure. It is the kind of backing that tends to bring longer investment horizons and potential downstream tie-ups with existing manufacturing operations.

“India’s energy transition depends on securing sustainable access to critical minerals. BatX has built a strong technology-led platform for recovering, refining, and reusing battery materials, addressing a challenge of both economic and strategic importance. We are excited to partner with the team as they scale a globally relevant business and strengthen India’s circular economy,” said Vikram Gupta, Founder & Managing Partner of IvyCap Ventures, on the strategic significance of the investment.

“As existing investors, we remain excited about the long-term opportunity ahead and believe this fundraise positions the company well to scale its technology, expand capacity, and play an important role in building a circular supply chain for battery materials in India and beyond. We look forward to partnering with the founders and Ivycap in supporting BATX through its next phase of growth,” said Pankaj Raina, Managing Director at Zephyr Peacock, reaffirming the existing investor’s continued backing of the company.

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Lab-grown diamond jewellery brand Limelight Diamonds has raised ₹275 crore in a strategic funding round led by its core promoters, the Bhathwari Group, with participation from key strategic partners in the jewellery industry as well as several of Limelight’s own franchise partners. The capital was raised through a mix of equity and cash consideration and will go toward strengthening vertical integration, expanding manufacturing infrastructure, enhancing design capabilities, and accelerating retail expansion. BSC Advisors served as the financial advisor on the deal.

The round lands as India’s jewellery retail sector continues shifting toward organised, branded players even as lab-grown diamonds carve out a distinct price-conscious segment alongside traditional mined-diamond jewellery. Limelight has built its position squarely in that gap, betting that consumers increasingly want the look of diamond jewellery without the price tag or sourcing questions that come with mined stones.

Founded in 2019 by Pooja Madhavan, Limelight Diamonds specialises in pure CVD lab-grown diamonds and has scaled to more than 75 exclusive brand outlets spread across upwards of 45 cities, a retail footprint the company says is the widest of any lab-grown diamond jewellery player in India. That expansion has largely been funded through the promoter-led structure now extending into this latest round, rather than through institutional venture capital, an approach that has let the founders retain tighter control over pace and positioning as the category matures.

“This funding round is a strong validation of Limelight’s vision and the growing potential of the lab-grown diamond industry in India. At a time when Hon’ble Prime Minister’s ‘Make in India’ vision is driving focus towards domestic manufacturing and global competitiveness, we believe lab-grown diamonds present a significant opportunity for India to lead a new-age luxury category globally. This investment will help us strengthen Indian manufacturing, accelerate retail expansion, and build a world-class brand from India for the world,” said Pooja Madhavan, Founder & MD of Limelight Diamonds, in a statement

With the fresh capital, Limelight is targeting 100 new stores through 2026 alone, before scaling to 200 stores by 2027 across metro, Tier I, and Tier II markets. That pace, roughly doubling the current outlet count within 18 months, marks a sharper acceleration than the brand’s organic growth since 2019, and signals promoters are treating retail density, not just manufacturing scale, as the primary lever for capturing share in a lab-grown category still being defined by whoever builds distribution fastest.

In November 2025, Limelight Diamonds roped in Bollywood actor and entrepreneur Shilpa Shetty as the brand ambassador and strategic investor.

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In 2022, Kevin McKenzie left Canada. Not because things weren’t working — but because, by his own reckoning, they were working a little too well for the government and not quite well enough for him. A Finance graduate from the University of Ottawa who had built a career across wealth management and the Canada Revenue Agency, Kevin understood taxation better than most. And what he understood, clearly, was that nearly half of what he earned was leaving his hands before he could do anything with it.

Dubai had been on his radar. Not as a fantasy, but as a calculation. Zero corporate tax. Full foreign ownership. A business environment built, deliberately, to attract exactly the kind of internationally mobile founder Kevin was becoming. So he made the move — and promptly ran into every obstacle the industry had managed to construct in the meantime: opaque pricing, slow timelines, agencies that vanished the moment a trade license was issued, and a general air of confusion that seemed designed to make the process feel harder than it needed to be.

Around the same time, Shayan Nasiri — also based in Canada, also a University of Ottawa graduate, with a background spanning business analysis, underwriting, and real estate management at firms including Zurich Insurance and IG Wealth Management — was asking a version of the same question. Why were successful entrepreneurs still handing over a disproportionate share of their income to high-tax home countries when better-structured alternatives clearly existed? The answer, he figured, was that the path to those alternatives was still too opaque, too fragmented, and too dependent on finding the right person to guide you through it.

Two Canadians. Two careers built around finance and business. One shared frustration with an industry that was failing the very founders it was supposed to serve.

That was the starting point for GenZone.

From Marketing Consultancy to Something More

GenZone didn’t begin as a business setup firm. In its earliest form, the company operated as a marketing consultancy — working primarily with entrepreneurs in the crypto, technology, and online business space. It was through those client relationships that the real demand began to surface.

Again and again, the same conversations kept happening. Clients weren’t just asking about marketing. They were asking about taxation. About regulatory burden. About whether there was a cleaner, more efficient jurisdiction to operate from. Kevin and Shayan had personally made the move to Dubai and gone through the entire process — company formation, banking, residency — so when clients started asking for guidance, the founders were in a position to give it.

What began as informal conversations between the founders and their network gradually took on a life of its own. The pivot wasn’t a strategic decision made in a boardroom. It was demand-driven, built on real-world experience, and grounded in exactly the kind of firsthand knowledge that the existing industry was conspicuously lacking.

“I knew exactly how taxation worked, which made the choice obvious. Dubai wasn’t an escape — it was a strategic business decision with lower taxes, full ownership, and real support for entrepreneurs.” — Kevin McKenzie, co-founder and co-CEO, GenZone, told LAFFAZ

Building Trust in a Crowded, Low-Trust Industry

The business setup space in Dubai is not short on providers. What it has historically been short on is accountability. Agencies with little skin in the game, unclear pricing, and a tendency to disappear post-setup had left the market with a credibility problem that GenZone had to navigate from day one.

The founders’ advantage was also their origin story. They hadn’t entered this industry from the outside with a theoretical model. They had been the client — confused, underserved, and looking for a partner that would actually take ownership of the process from start to finish. That lived context shaped every decision they made about how GenZone would operate.

Early clients came largely through the founders’ own networks — friends, family, and professional contacts from Canada and other Western countries who trusted Kevin and Shayan precisely because they had watched them go through the same process. Referrals became the primary growth engine. Reputation did the rest.

“For me, it’s never just about business metrics. What matters most is helping entrepreneurs who feel confused, overwhelmed, or unsure where to begin. Kevin and I faced those same challenges ourselves, so every client’s success feels deeply personal and genuinely rewarding.” — Shayan Nasiri, co-founder and co-CEO, GenZone, told LAFFAZ

What GenZone Does Today

Since its founding in February 2021, GenZone has helped over 1,100 entrepreneurs from more than 50 countries establish companies in Dubai and the United States. The firm is a Platinum Partner of the Dubai Free Zone Authority and has opened upwards of 2,500 corporate bank accounts for its clients.

Services span the full business lifecycle: Dubai Free Zone and Mainland company formation, US LLC registration in Wyoming and Delaware, UAE residency visas, corporate banking, VAT and corporate tax compliance, bookkeeping, and real estate advisory. The model is end-to-end by design — no handoffs to third parties, no disappearing after the trade license prints.

Kevin leads growth, strategic partnerships, and long-term vision. Shayan oversees operations, marketing, and client experience. Major decisions are made jointly. The co-CEO structure, they say, works because the skill sets are complementary and the mission is shared.

The team today numbers over 20 specialists operating across offices in Dubai and Miami, working in eight languages and serving clients across more than 50 countries.

Founders Who Made the Move — Clients Who Followed

The clearest illustration of what GenZone does is in the clients it has served. Dan Hunter, an entrepreneur and educator based in Australia, relocated to Dubai with GenZone’s support and used the transition to expand his international business operations. A Canadian business owner — whose own story mirrors the founders’ closely — partnered with GenZone to relocate, restructure his international entity, and position the business for long-term global growth. Cryptic Web3, a blockchain-focused company, worked with GenZone to establish a Dubai presence at a time when the UAE was emerging as one of the world’s most active markets for digital assets.

Across these cases, the common thread isn’t geography or sector. It’s the same realisation Kevin and Shayan had themselves: that the structure a business operates under shapes everything about what that business can become.

Growth Plans

GenZone’s growth plans are focused on deepening its presence in the Dubai business setup and the US LLC formation space while expanding the technology layer that underpins its service delivery. A key part of this is GenZone LaunchPad, a first-of-its-kind client platform that makes setting up Dubai businesses and US LLCs seamless for globally mobile entrepreneurs.

The firm is investing further in automation and strategic partnerships, with a longer-term ambition to become the go-to platform for entrepreneurs building globally competitive businesses across multiple jurisdictions.

For Kevin and Shayan, the trajectory is a direct extension of where they started. Two people who left a high-tax system, built a business in a better one, and realised along the way that the most valuable thing they could offer wasn’t just the paperwork — it was the clarity.

That, more than anything, is what GenZone is selling. And given that over 1,100 founders across 50 countries have bought in, it appears the market was waiting for exactly this.

Frequently Asked Questions

Who are the founders of GenZone?

Kevin McKenzie and Shayan Nasiri — both University of Ottawa alumni with roots in finance, business analysis, and wealth management. They launched GenZone in February 2021, not as outside observers spotting a market gap, but as people who’d personally gone through Dubai’s business setup process and found it badly wanting.

What does GenZone actually help with?

Quite a lot, as it turns out. The core offering covers Dubai Free Zone and Mainland company formation, US LLC registration, UAE residency visas, and corporate bank account opening. But it doesn’t stop at setup — the firm also handles VAT and corporate tax filings, bookkeeping, annual compliance, and real estate advisory in Dubai. The idea is that you shouldn’t need five different vendors for what is, at its core, one journey.

How many entrepreneurs has GenZone worked with?

North of 1,100 across more than 50 countries, with over 2,500 corporate bank accounts opened along the way. The firm also holds Platinum Partner status with the Dubai Free Zone Authority — a recognition that reflects both volume and quality of setups rather than just client numbers.

Has GenZone raised any funding?

No — it’s entirely bootstrapped, and intentionally so. Growth came through referrals and word of mouth, which the founders credit to a simple fact: their earliest clients were people who personally knew Kevin and Shayan, trusted that they’d been through the process themselves, and didn’t need much convincing beyond that.

Where does GenZone operate from?

Dubai is the home base, with a second office in Miami. The Miami presence isn’t cosmetic — it puts the team in the same time zone as North American clients and keeps them close to the US LLC side of the business, which has grown into a significant part of what GenZone does.

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Yash Raj Films has made a strategic investment in Rusk Media, the Mumbai-headquartered digital entertainment company behind the Alright! TV platform, the studio announced on 29 June 2026. Financial terms were not disclosed.

Under the partnership, YRF will steer the creative direction of original animation and vertical micro-drama intellectual property, while Rusk Media handles production and distribution through Alright! TV and global digital channels. Rather than repurposing existing film franchises, both companies say the focus will be on IP built from scratch for portrait-mode, mobile-first consumption.

The deal marks YRF’s first formal entry into India’s vertical entertainment economy, a segment growing rapidly alongside short-form video consumption among younger audiences on YouTube Shorts, JioHotstar, and Amazon MX Player. The studio’s theatrical record includes the YRF spy universe — spanning Pathaan, War, and the Tiger series — and it reported operating revenue of ₹740 crore and a net profit of ₹56 crore in FY24, according to Acuité Ratings & Research.

“The instinct to evolve has always been central to YRF’s DNA. Platforms are infrastructure, content and IP are culture. Mayank and his team at Rusk Media have built a deep understanding of how the next generation discovers and inhabits stories, and that is exactly the kind of vision we want to invest in. Together, the aspiration is to build worlds, not just content.” said Akshaye Widhani, CEO, Yash Raj Films, in an official blog post

Founded in 2019 by Mayank Yadav, Rusk Media has built a catalogue of mobile-first fiction, unscripted programming, and vertical drama distributed across social platforms and OTT services. Its revenue grew 43% to ₹81.38 crore in FY25, while losses narrowed to ₹25.33 crore from ₹28.70 crore the previous year. The company has raised close to $32 million to date, with its most recent Pre-Series C round of ₹100 crore led by Nazara Technologies closing in June 2026 — just days before the YRF announcement. Existing backers Info Edge Ventures, IvyCap Ventures, and a consortium led by Audacity VC also participated in that round.

“Vertical entertainment in India has produced extraordinary reach, but not the enduring IP that defines a category. That is the gap this collaboration is designed to close. We bring a native understanding of how digitally native audiences discover and build community around content, and with YRF’s backing, we are building for longevity, not the algorithm.” said Mayank Yadav, Co-Founder and CEO, Rusk Media

The partnership arrives as legacy studios across India explore short-form and mobile-native content to complement theatrical and streaming strategies. Rival Red Chillies Entertainment has also been reported to be eyeing the micro-drama space in 2026. For YRF, the Rusk Media bet is a direct signal that India’s next entertainment franchises may be built one vertical scroll at a time.

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On June 12, at 5:21 PM Eastern Time, Anthropic received a directive it did not expect. The US Department of Commerce ordered the company to immediately suspend access to its two newest and most capable AI models — Fable 5 and Mythos 5 — for every foreign national on earth, including Anthropic’s own non-American employees. The company had no practical choice. It killed the models for everyone.

Fable 5 had been live for exactly three days.

In the hours that followed, a policy debate that had long lived in Indian think-tank reports and government committee notes became an operational reality. Indian builders who had already wired Fable 5 into production workflows woke up on Saturday morning to a dead API. The abstract question of AI sovereignty had acquired a specific, dated, documented shape: June 12, 2026, 5:21 PM ET.

That was two weeks ago. The ban is still in force. And the story has changed significantly since.

What Anthropic Was Told — and What the NSA Actually Did

The original framing from the US government centred on a jailbreak — a technique for bypassing Fable 5’s safety guardrails. Anthropic disagreed publicly, arguing it had received only “verbal evidence of a potential narrow, non-universal jailbreak” and that the capability involved was already present in other publicly available models.

“The level of capability displayed there is widely available from other models (including OpenAI’s GPT-5.5), and is used every day by the defenders who keep systems safe.”

— Anthropic, official statement, June 12, 2026

But testimony that emerged from a Senate Intelligence Committee briefing told a different story. NSA Director Gen. Joshua Rudd told Senator Mark Warner that Mythos 5 had autonomously breached nearly all NSA classified systems in a red-team exercise — not over weeks, but in hours. This was not a theoretical jailbreak risk. It was a live demonstration of what the model could do when pointed at classified infrastructure by trained operators.

A second layer of context also emerged. A White House Executive Order issued on June 2 — ten days before the suspension — mandated a 30-day government pre-release review framework for all frontier AI models. Anthropic launched Fable 5 on June 9, seven days after that order, with no pre-brief to the government. The directive may have been as much about enforcing that framework as about the alleged jailbreak. The two are not mutually exclusive.

Anthropic warned that if this standard were applied consistently, it “would essentially halt all new model deployments for all frontier model providers.” It called the directive a misunderstanding and said it was working to restore access. Two weeks on, access has not been restored.

What Changed in Two Weeks

Several significant developments have reshaped the picture since the suspension landed.

Fable 5 appears to be coming back — partially

On June 21, Fable 5 reappeared in the Claude Android app’s model selector. Users attempting to access it received error messages reading “server is temporarily rate-limiting requests” rather than the previous “model unavailable” — a meaningful distinction suggesting a live back-end rather than a hard block. Prediction markets placed roughly 57% odds on full restoration before July 1.

Anthropic has an identity solution in the works

The company’s new identity verification policy, taking effect July 8, will collect government ID, a facial photo, and biometric templates from users via identity platform Persona. This would allow Anthropic to restore Fable 5 for verified US persons without waiting for the Commerce Department directive to be formally lifted — sidestepping the regulatory blockage through a compliance architecture rather than a policy reversal.

Trump signalled a thaw at G7

President Trump met Anthropic CEO Dario Amodei at the G7 summit in Évian-les-Bains and indicated he had eased national security concerns about the models. The Commerce Department directive remains legally in force, but political intent appears to have shifted. The Information reported that the White House is unlikely to extend similar restrictions to other AI companies and is privately attributing the Anthropic situation to the company’s own handling of the alleged jailbreak vulnerabilities.

The open-source market moved immediately

When Fable 5 went dark, enterprises needed alternatives within hours. Four open-weight coding models stepped into the gap before Anthropic could restore access: Cohere’s North Mini Code, Moonshot’s Kimi K2.7-Code, Zhipu’s GLM 5.2, and a fourth from Mistral (The New Stack). The Fable 5 ban effectively became a live advertisement for open-source AI resilience — exactly the argument India’s sovereignty advocates have been making for years.

India Was Deeply Embedded, Not Casually Exposed

When the suspension landed, coverage initially treated India as one of many affected markets. The data tells a different story. Anthropic and OpenAI have both described India as their second-largest market after the US — reflecting years of enterprise investment, developer adoption, and institutional partnerships.

TCS had been training 50,000 employees on Anthropic’s models at the time of the suspension. Infosys had active collaborations underway. Select Indian institutions had only weeks earlier gained access to Mythos 5 through Project Glasswing — Anthropic’s government-linked cybersecurity programme — before that access was revoked along with everyone else’s. Anthropic announced the TCS partnership in the same statement as the suspension, in what became one of the more ironic juxtapositions in recent Indian tech history.

Saket Dandotia, co-founder and CEO of Onetab.ai, told CNBC that the suspension had come close to breaking his business of building AI applications for enterprises — saved only by multi-model diversification he had built in advance. But he was clear about the limits of that strategy.

“Diversification buys time; it doesn’t buy independence.” — Saket Dandotia, Co-founder & CEO, Onetab.ai

An ADP Research report released in the same week found that 41% of Indian workers use AI nearly every day — higher than 26% in China and 19% in the US. India’s workforce dependence on AI tools is now greater than that of any other major economy. The infrastructure underpinning that dependence is almost entirely foreign.

Sridhar Vembu Said What Many Were Thinking

Zoho founder Sridhar Vembu was among the first Indian voices to respond publicly, posting on X within hours of the suspension.

“Technology is the ultimate weapon. National sovereignty, national security, all of it is now about technology. Globalisation is dead and Bharat must find her own way ahead.” — Sridhar Vembu, X, June 13, 2026

Vembu argued for a pivot toward smaller models — both Indian-built and Chinese open-source — and questioned the logic of paying providers who can, at a foreign government’s direction, simply stop selling to you. He urged Indian organisations to embrace open-source alternatives immediately, rather than waiting for a policy solution that may not arrive on a useful timeline.

Mohandas Pai Goes Directly to the PMO

Mohandas Pai, chairman of Aarin Capital and former CFO of Infosys, went significantly further than Vembu — and significantly further than his initial reaction, which this publication reported when the suspension first landed.

Pai posted on his official X account, tagging Prime Minister Narendra Modi, along with Union Ministers Ashwini Vaishnaw, Nirmala Sitharaman, Piyush Goyal, and Amit Shah, BJP IT head Amit Malviya, and the Reserve Bank of India — a unusually public and specific demand for government action from one of India’s most senior tech-industry voices

“Existing govt programs are too slow, way too small to make any large impact. We need an annual 50000 cr fund for deep tech and AI, a 200,000 cr ELGS Guarantee Fund to build Hyper cloud, hardware and chips.” — Mohandas pai, X, June 13, 2026

He proposed a formal “India AI Mission” led by both public and private sector representatives, with Nandan Nilekani — Infosys co-founder and architect of Aadhaar — as vice-chair. The financial ask was not small: an annual ₹5 lakh crore deep-tech and AI fund, plus a ₹2 lakh crore guarantee fund for cloud infrastructure, hardware development, and semiconductor manufacturing.

His assessment of India’s current position was blunt. Existing government programmes were described as “too slow, way too small to make any large impact.” He argued that India risks falling behind in the global AI race in a way that will be structurally difficult to reverse — and that the Fable 5 suspension had made the timeline for action shorter, not longer.

Hemant Mohapatra said “sovereign AI is real”

Hemant Mohapatra, Partner at Lightspeed Venture Partners India, summarised the investor community’s reaction in fewer words on X.

The “sovereign AI is real” moment is here. Nation-states will soon start needing citizenship and/or security clearances to work on the next SOTA models the way they do for defense, space, nuclear tech. It is only a matter of time. Talent wars here will be crazy. — Hemant Mohapatra, X, June 13, 2026

The Structural Gap India Has Not Closed

India’s sovereign AI position in mid-2026 is best described as ambitious infrastructure, real compute investment, and a frontier model gap that is not closing quickly enough. The IndiaAI Mission’s ₹10,372 crore budget and 38,000+ onboarded GPUs represent genuine public investment in compute access (PIB). Sarvam AI‘s flagship model has over 100 billion parameters. Krutrim has committed $230 million and announced India’s largest planned supercomputer in partnership with Nvidia.

But Sarvam’s model is still orders of magnitude smaller than Fable 5’s architecture. And current sovereign AI models in India are built on Nvidia hardware — which itself is subject to US export controls. The compute sovereignty problem runs deeper than the model sovereignty problem, and both remain unsolved.

“Even if this is corrected or reversed, the Anthropic episode shows there’s no such thing as a geopolitically neutral foreign LLM. American AI models are bound to American geopolitics.” — Prasanto Roy, a New Delhi-based technology policy expert said to TechCrunch

HCL Tech‘s ₹14.27 billion investment in Sarvam — which CNBC noted was less than 10% of what the company paid shareholders in dividends in FY26 — captures the scale mismatch. India’s private sector is investing in domestic AI, but at a fraction of what the problem requires.

The Honest Near-Term Answer Is Open Source

While the long-term structural debate continues, the practical lesson of the Fable 5 suspension is already being absorbed. Enterprises that survived the outage without operational damage were those running multi-model architectures with open-source fallbacks. Those that had concentrated their workflows on a single frontier provider lost access to those workflows the moment Washington sent a letter.

The four open-weight models from non-US artificial intelligence companies stepped into the gap — Cohere, Moonshot, Zhipu, and Mistral — demonstrated that open-source alternatives exist, are capable, and are not subject to US export control directives. For Indian enterprises building on AI infrastructure, this is not an abstract point. It is a procurement decision.

Vembu’s prescription — smaller models, open-source fallbacks, reduced single-provider dependence — is the correct near-term response. Pai’s ₹5 lakh crore annual fund is the correct long-term response. The White House’s private signals suggest the Fable 5 directive may be unwound before July. But the fact that it happened — that access to the world’s most capable AI model was terminated for 1.4 billion people in under 90 minutes, by a single letter, from a government that consulted none of the affected countries — is not a misunderstanding. It is the system working exactly as designed.

India now knows what that system looks like from the outside.

Frequently Asked Questions

What are Anthropic Fable 5 and Mythos 5?

Fable 5 and Mythos 5 are Anthropic’s most advanced AI models, launched on June 9, 2026. Fable 5 is the general-purpose public model with strong safety guardrails, capable of complex software engineering, scientific research, and long-horizon autonomous tasks. Mythos 5 shares the same architecture but with some safety constraints adjusted for cybersecurity use — it was restricted exclusively to approved organisations through Anthropic’s Project Glasswing programme.

Why did the US government suspend access to Fable 5 and Mythos 5?

The US Department of Commerce issued an export control directive on June 12, 2026, initially citing a potential jailbreak vulnerability in Fable 5. Subsequent Senate testimony from NSA Director Gen. Joshua Rudd revealed that Mythos 5 had autonomously breached nearly all NSA classified systems in a red-team exercise in hours — significantly expanding the stated justification. A White House Executive Order mandating 30-day pre-release government reviews for frontier AI models, issued ten days before the suspension, is also seen as a contributing factor.

When will Fable 5 access be restored for India?

As of June 23, 2026, access has not been formally restored. Fable 5 reappeared in the Claude Android app on June 21 with rate-limiting errors rather than hard blocks, suggesting a partial back-end restoration is underway. Anthropic’s identity verification policy taking effect July 8 — requiring government ID and biometrics via Persona — is expected to enable a compliant restoration for verified users. President Trump signalled a thaw at the G7 summit, but the Commerce Department directive remains legally in force.

What is India’s sovereign AI position after the Fable 5 suspension?

India has made real progress — the IndiaAI Mission has deployed 38,000+ GPUs, Sarvam AI is building large Indian-language models, and Krutrim has committed $230 million to frontier model development. But no Indian model currently matches Fable 5’s capabilities in software engineering, scientific reasoning, or autonomous task execution. India’s sovereign AI models also depend on Nvidia hardware subject to US export controls, meaning the compute sovereignty problem runs alongside the model sovereignty problem.

What did Mohandas Pai propose to PM Modi after the suspension?

Aarin Capital chairman Mohandas Pai tagged Prime Minister Modi and six senior ministers on X, calling for a formal India AI Mission with Nandan Nilekani as vice-chair. He proposed an annual ₹5 lakh crore fund for deep tech and AI development, and a separate ₹2 lakh crore guarantee fund for cloud infrastructure, hardware, and semiconductor manufacturing — describing existing government AI programmes as “too slow, way too small to make any large impact.”

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