AlleyWatch sat down with Daptic cofounder and CEO Baptiste Bouvier to learn more about the business, its future plans, recent funding round, and much, much more…

Who were your investors and how much did you raise?

We raised a $15M Series A led by Canvas Ventures, bringing Daptic’s total funding to approximately $22M. Rebecca Lynn of Canvas Ventures is also joining our board.

We’re really excited about the group of investors supporting Daptic at this stage. Rebecca and the Canvas team have a deep understanding of the opportunity we’re pursuing and the kind of company we want to build. We’re looking forward to having Rebecca’s perspective on the board as we continue to grow Daptic and bring regulatory intelligence much closer to the product-development process.

Tell us about the product or service that Daptic offers.

Daptic helps companies that build physical products bring product compliance directly into product development.

There is an enormous amount of expertise involved in understanding a new regulation, determining which products it applies to, interpreting what it means, and translating it into something an engineer can actually use. That work spans regulatory teams, subject-matter experts, legal teams, engineers, and many other people across an organization.

Daptic brings that work together in one platform. We help companies continuously monitor regulatory changes, understand which changes apply to their products, collaborate on interpretation, preserve the knowledge of their experts, and translate regulations into actionable product requirements.

The bigger opportunity is bringing that intelligence into product development much earlier. When teams understand the regulatory landscape from the beginning, they can make smarter design decisions, streamline development, and get products to market faster.

What inspired the start of Daptic?

My background is in computer science and mechanical engineering at MIT, after which I spent time in consulting. At MIT, I was building complex products that involved many types of regulations. While consulting, I worked with some of the largest manufacturers to speed up product development. This gave me a close look at the role regulation plays in developing physical products.

What really stood out to me was the connection between regulation and engineering. There is so much valuable expertise inside these companies, and the process of turning that expertise into concrete product requirements creates an opportunity to make product development much more connected.

That became the idea behind Daptic. We believed product compliance could become an active input into how products are designed from the very beginning. When engineers and product teams have that information earlier, it can help them make better decisions about what to build and how to bring it to market. That was the opportunity that really excited me, and it still does today.

How is Daptic different?

Daptic is focused specifically on product compliance and the point where regulation becomes an engineering requirement.

That gives us a very different role from traditional compliance or engineering software. We bring the regulatory workflow together, from continuously monitoring changes and determining applicability to bringing experts into the conversation, preserving their interpretations, and translating that knowledge into requirements that product teams can use.

We think of this emerging category as Product Compliance Lifecycle Management. The idea is to connect regulatory intelligence with the full lifecycle of a physical product, starting with understanding which regulations apply and carrying that intelligence into the decisions teams make as they design, develop, test, certify, launch, and maintain products.

Human expertise is central to that process. Regulations have nuance, and some of the most important product decisions come from understanding how a requirement applies to a specific product and market. AI can accelerate a tremendous amount of the work, while Daptic gives companies a way to capture, organize, and scale the judgment of their experts.

Ultimately, we’re creating a shared system where regulatory, engineering, legal, and product teams can work from the same intelligence throughout the product lifecycle.

What market does Daptic target and how big is it?

We focus on companies that design, manufacture and sell regulated physical products. That spans industries including automotive and mobility, aerospace and defense, electronics, robotics and physical AI, consumer products, medical devices, and industrial manufacturing. The opportunity also extends across the value chain, from OEMs and suppliers to retailers with regulatory responsibility for products sold under their own brands.

What makes the market so exciting is how broadly this work exists. Every company building a regulated physical product needs to understand which regulations apply and translate them into decisions about the product itself.

We see an opportunity to give that work a much more connected home inside the enterprise and establish product compliance as a core part of how companies develop and launch physical products.

What’s your business model?

We’re an enterprise software company with a modular platform that can grow with our customers.

We typically begin with a focused use case across certain markets, products or regulatory areas. From there, customers can bring more products, teams, markets, and regulatory workflows into the platform.

That expansion fits naturally with how the work happens. A single regulatory decision can involve regulatory specialists, engineers, legal teams, subject-matter experts, and other stakeholders across an organization. Daptic gives all of those teams a shared place to work together.

As we grow, we see the platform becoming increasingly embedded throughout product development, bringing regulatory intelligence and requirements closer to the decisions companies make as they design, develop, test, and launch products.

How are you preparing for a potential economic slowdown?

We’re focused on building a company and a product that delivers clear value in any economic environment.

For our customers, Daptic can help teams use their expertise more effectively, make important product decisions earlier, streamline development, and accelerate the path to market. Those are meaningful outcomes for companies that are focused on making every investment in product development count.

We take a similarly thoughtful approach inside Daptic. We’re deliberate about how we grow the team and where we invest, and this funding gives us the ability to continue building with focus. Our priority is putting resources behind the product, our customers, and the opportunities where we see the greatest potential to create long-term value.

What was the funding process like?

We were fortunate to have a lot of strong interest in the round. What I really enjoyed was seeing how quickly the opportunity clicked as we walked investors through how regulatory intelligence can shape the way physical products are developed.

The conversations gave us a chance to share both what customers are using Daptic for today and the much larger vision for where we believe the company can go. We ended the process with a great group of investors around the table, with Canvas leading the round, and we’re really excited to build this next stage of Daptic with them.

What are the biggest challenges that you faced while raising capital?

One of the most interesting parts of the process was articulating the scale of a category that did not exist before Daptic.

Product regulatory work exists across virtually every company building regulated physical products, although it can live in different parts of the organization depending on the company. Once we could show investors how that work happens today and how deeply it influences product development, the opportunity became very tangible.

Fundraising pushed us to get even sharper about explaining the connection between what Daptic delivers for customers today and the company we have the opportunity to build over the long term. I think that clarity made for some really productive conversations throughout the process.

What factors about your business led your investors to write the check?

I think what really resonated was the combination of the value we’re creating for customers (including the number of large F200 actively using the platform today) and the scale of the opportunity ahead.

Companies that build physical products dedicate significant time and expertise to understanding regulations and translating them into product decisions. Daptic gives that work a shared system and makes regulatory intelligence much more useful across regulatory, engineering, legal, and product teams.

We believe product compliance can become a core input into how physical products are designed and developed from day one. That combination of immediate customer value and a much larger long-term vision is something our investors were excited about.

What are the milestones you plan to achieve in the next six months?

Our focus is on continuing to build the product, grow with our customers, and bring Daptic deeper into the product-development process.

We want to expand the ways customers can use regulatory intelligence across their organizations, whether that means supporting more products, more teams, more markets, or more of the decisions that happen during development. We’re also continuing to invest thoughtfully in the team as we grow.

The broader milestone for us is showing what becomes possible when product compliance is treated as a core part of product development. Every step we take toward making that a standard way of building physical products is meaningful progress for Daptic.

What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?

Stay extremely close to your customers and get very clear about the problem they value you for solving.

Some of the most valuable work we’ve done at Daptic has come from listening closely to customers and understanding where we can have the greatest impact. In enterprise software, there are always opportunities to expand into adjacent areas. Having a clear view of your core product helps you decide which opportunities strengthen what you’re building and where your resources will have the most impact.

Focus creates a lot of leverage. Know what your customers consider essential, become exceptional at solving that problem, and make every dollar you invest strengthen that advantage.

Where do you see the company going now over the near term?

Near term, we want to deepen Daptic’s role in the product-development process and continue building out what we see as a new category, Product Compliance Lifecycle Management.

This means starting with an idea for a new physical product and immediately understanding the regulations that apply across the markets where you want to sell it. As that product takes shape, the same intelligence can inform requirements, design decisions, testing, certification, launch, and how the product evolves once it is in the market.

That’s where we believe Product Compliance Lifecycle Management can go. It creates a continuous connection between regulation and the product itself, from the earliest design decisions through the full life of that product. Our vision is for Daptic to become the system companies use to manage that lifecycle and make regulatory intelligence a core input into building and bringing physical products to market.

What’s your favorite fall destination in and around the city?
Central Park! In particular the underground waterfalls. The whole environment is beautiful with colors.

Daytona – $60M

AI

Daytona, a cloud infrastructure platform that provides secure sandboxes for running AI agents and AI-generated code, has raised $60M in Series B funding led by FirstMark Capital with participation from Patrick Collison, Adam D’Angelo, Brendan Foody, Tobi Lutke, Olivier Pomel, Aravind Srinivas, Eric Yuan, Alumni Ventures, Evergreen Fund, Okta Ventures, Qualcomm Ventures, Samsung Next, Torch Capital, Pace Capital, Upfront Ventures, and E2VC. Founded by Ivan Burazin, Goran Draganic, and Vedran Jukic in 2023, Daytona has now raised a total of $91M in reported equity funding.

Prism Data – $20M

FinTech

Prism Data, a cash flow analytics platform that provides automated credit risk underwriting for lenders using consumer bank transaction data, has raised $20M in Series A funding led by Story Ventures with participation from FINTOP Capital, Core Innovation Capital, Obvious Ventures, 1st & Main Growth Partners, and Mana Ventures. Founded by Jason Rosen in 2016, Prism Data has now raised a total of $25M in reported equity funding.

Mural – $15M

FinTech

Mural, a financial infrastructure platform that lets fintechs and businesses move, store, and manage money across stablecoins and fiat currencies, has raised $15M in Series A funding led by Tether with participation from North Island Ventures. Founded by Sinclair Toffa and Chris Fernandes in 2022, Mural has now raised a total of $28M in reported equity funding.

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Pennant AI – $5M

AI

Pennant AI, an AI platform that automates corporate governance research and proxy voting for institutional investors, has raised $5M in Seed funding led by Urban Innovation Fund with participation from Y Combinator. Pennant AI was founded by Ryan Nowicki Stewart and Tomas Taylor in 2026.

Juice Reel – $2.5M

SportsTech

Juice Reel, a sports betting tracking app and marketplace that verifies and ranks bettors’ picks, has raised $2.5M in funding according to a recent SEC filing. The filing indicates that there were seventeen investors in this round. Juice Reel was founded by Ricky Gold in 2019.

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AlleyWatch sat down with Othello Cofounder and CEO Jared Zelman to learn more about the business, its future plans, recent funding round, and much, much more…

Who were your investors and how much did you raise?

We raised an $8M seed round. It was led by Andreessen Horowitz Speedrun and Owl Capital, with participation from Long Journey Ventures, Stratus Ventures, and a group of founders and operators who invested as angels, including Andy Fang (Cofounder, DoorDash), Chris Larsen (Cofounder, Ripple), Thomas Wolf (Cofounder, Hugging Face), David Cramer (Cofounder, Sentry), Waseem AlShikh (Cofounder, Writer), Dean Sysman (Cofounder, Axonius), Alex and Philippe Bouaziz (Cofounders, Deel), Ryan King (Cofounder, Chime), and Kevin Stein (CEO, TransDigm).

Tell us about the product or service that Othello offers.

Othello provides real-time, live guidance for sales calls. We do this with Hamlet, our family of proprietary AI models. We create our own AI models, built specifically for live sales conversations. For example, Othello can suggest the next question to ask a buyer, flag when a rep skips a step in their sales methodology, help answer a technical question or handle an objection, and surface the right case study at exactly the right moment. More than 50 large enterprises, including Microsoft, Capital One, and Lyft, use Othello today.

What inspired the start of Othello?

Before Othello, I built Cicero, a company making AI avatars for authors and podcasters. I had a hard time selling it to enterprises, and on those sales calls I had a friend hold up cue cards to remind me what to ask and say next. Those cards made me noticeably better on the call than I would have been alone, and it made me realize that nothing in the sales tech stack did that. Everything helped before or after the call, and the call itself is where deals are won or lost.

The more we looked at it, the clearer it became that live guidance isn’t a software problem, it’s an AI problem. The guidance has to be fast, accurate, and specific to your company, and that requires models built for exactly that purpose. So we built them.

How is Othello different?

Three ways. The first is timing. Othello is built for the live moment. Tools like Gong analyze conversations after they end, which is valuable but can’t change how a rep performs on the call happening right now.

The second is the models. If a suggestion is late, wrong, or generic, it actively hurts the rep, so we built Hamlet specifically for this job rather than relying on a general-purpose model. That is what lets us respond in under half a second with advice that is actually useful.

The third is focus and context. Everything we build, from the product to the models to the go-to-market, is for sales teams. Othello learns each company’s playbook, product material, and the way its best sellers sell, so its suggestions sound like that company and not like a generic assistant. It also doesn’t join the call as a bot, and it can run without storing audio or transcripts for customers in regulated industries.

What market does Othello target and how big is it?

Our market is every sales team. There are more than 2.5 million B2B sales reps in the United States alone, and most of their conversations now happen over video calls. Just as everyone in sales has video calls and Salesforce, everyone in sales will have Othello.

What’s your business model?

We sell mainly to large companies. We charge an enterprise price, and we also offer custom enterprise pricing.

How are you preparing for a potential economic slowdown?

Othello is tied directly to revenue, which is exactly where companies invest when the economy tightens. When a company can’t simply hire its way to its number, getting more out of the sellers it already has matters more than ever, and Othello makes every rep better on every call. That makes us a must-have, not a nice-to-have. With this round behind us and strong demand from large enterprises, we’re well positioned to keep growing in any economic environment.

What was the funding process like?

It was relationship-driven. Andreessen Horowitz Speedrun and Owl Capital led the seed round, and the rest of the round filled in with founders, operators, longtime friends, advisors, and customers who understood the problem or had seen the product firsthand. We went into conversations with a tight story: sales AI has a graveyard of companies that built around the edges of the sales process, the call itself is the one thing nobody has solved, and we built a team that specializes in real-time AI to solve it. We then rounded out the raise with an extension from investors and angels that came together almost overnight, and we announced everything alongside our public launch this month.

What are the biggest challenges that you faced while raising capital?

The biggest challenge is that sales AI is extremely out of fashion. There have been countless failed companies in this category, and the graveyard is longer than Route 66. But that is part of our thesis. Nearly all of those companies focused on the ancillary parts of the sales process, like AI SDRs or note-takers, and none of those affect the only thing that matters, which is the sales call. Investors who had been burned by the category had to be convinced that live, in-call help is a different problem with a different answer, and the best proof was customers using Othello on nearly every call.

What factors about your business led your investors to write the check?

Traction is obvious. Our user retention and success stories speak for themselves, and customers have literally gone out of their way to call our investors. Customers really love our product, and that alone is enough to raise an amazing round.

We also have an incredible team, the greatest team I’ve ever worked with. Our R&D team in particular is one of the most renowned and incredible teams in all of Israel.

What are the milestones you plan to achieve in the next six months?

Our main milestone is expanding across more than 100 multinational customers. To get there, we’ll grow the team from about 20 to 30 people, make our first dedicated sales and customer success hires, and keep building the product, including more personalized guidance for each seller over time. We’ll also keep investing in security and compliance as we scale across the world’s largest enterprises.

What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?

Fundraising can be hard, and my advice is simple: spend a couple of months in San Francisco. That’s all you need. Be social, work incredibly hard, and build the relationships that matter. You don’t have to live there. I spent several months there, and I still go back for several months out of the year to keep those relationships strong.

Then come home and build. You can easily build an amazing business in New York. It’s full of large enterprises that buy software, and you don’t need a big round to start selling to them. And stay close to your customers, because they will teach you more than any amount of planning.

Where do you see the company going now over the near term?

We’re expanding extremely quickly. We’ll grow to 30 employees shortly, and as we scale we expect to land a major new logo every two days. We expect to have hundreds of customers within the next year, and we’re building that team here in New York.

On the product side, we’ll keep making Hamlet faster and smarter and personalize our guidance for each seller over time. Longer term, I’d like to bring the same help to in-person meetings, and I can picture that happening through something like smart glasses. Our goal is for real-time, in-call guidance to be a standard part of every enterprise sales team’s stack, and for Othello to be the product people think of first.

What’s your favorite fall destination in and around the city?

Amagansett, out on the East End of Long Island. After Labor Day the crowds thin out, the beaches are quiet, and it’s the best time of year to be there.

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CarbonAI – $12M

AIPropTech

CarbonAI, an agentic AI platform that automates underwriting, due diligence, and loan monitoring for commercial real estate lenders, has raised $12M in Venture funding led by Cowboy Ventures with participation from Timber Grove Ventures, Bling Capital, and Max Ventures. CarbonAI was founded by Jeff Saul and Josh Kaufman in 2025.

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Trace – $3M

Trace, a presale marketplace that lets shoppers list fashion items before buying them so others can rent or buy, has raised $3M in Seed funding led by Serena Ventures with participation from SHAKTI. Trace was founded by Katie Pfleger and Ella Rubin in 2025.

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Ramp – $1.85B

FinTech

Ramp, a fintech platform that provides corporate cards and spend management software for businesses, has raised $1.85B in Venture funding led by Dragoneer Investment Group and Thrive Capital with participation from Founders Fund. Founded by Eric Glyman, Karim Atiyeh, and Gene Lee in 2019, Ramp has now raised a total of $4.85B in reported equity funding.

Modal – $750M

AI

Modal, an AI infrastructure platform that provides inference, sandboxes, and training for AI applications, has raised $750M in Series D funding led by Accel with participation from Kleiner Perkins, Menlo Ventures, General Catalyst, Redpoint, Lux Capital, and Bain Capital Ventures. Founded by Erik Bernhardsson and Akshat Bubna in 2021, Modal has now raised a total of $1.2B in reported equity funding.

North.cloud – $60M

Enterprise

North.cloud, a cloud financial management platform that helps finance and engineering teams optimize and automate spend across cloud, AI, and data infrastructure, has raised $60M in Series B funding led by PeakSpan Capital with participation from Litquidity Ventures, Companyon Ventures, Alpaca VC, Uncommon Denominator, Gaingels, and Mana Ventures. Founded by Matt Biringer and Yassine Acoine in 2023, North.cloud has now raised a total of $67.6M in reported equity funding.

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Scuba – $34M

AI

Scuba, a shared context engine that organizes team knowledge and connects it to AI agents, has raised $34M in Pre-Seed and Seed funding led by Accel and IVP with participation from BoxGroup, Conviction, Homebrew, and Scribble Ventures. Scuba was founded by Noah Desai Weiss and Dolapo Falola in 2025.

Allara – $30M

HealthTech

Allara, a telehealth platform that delivers insurance-covered care for women with hormonal, metabolic, and reproductive conditions, has raised $30M in Venture funding from investors that include Index Ventures, GV, Camino Partners, Foreground, and Family Fund. Founded by Rachel Blank in 2020, Allara has now raised a total of $75M in reported equity funding.

AlleyWatch broke the news on this round exclusively.

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Brellium – $23M

HealthTechAI

Brellium, an AI platform that audits clinical documentation and coding for compliance and revenue integrity, has raised $23M in Venture funding led by Left Lane Capital and First Round Capital with participation from Digital Health Venture Partners. Founded by Alex Tu, Henry Kasa, Max Katzman, and Zach Rosen in 2021, Brellium has now raised a total of $39.7M in reported equity funding.

Confido Health – $12.5M

HealthTechAI

Confido Health, an AI platform that automates healthcare office tasks such as scheduling, insurance verification, billing, and patient outreach, has raised $12.5M in Series A funding led by Z47 with participation from Justin Saks, Together Fund, and Blume Ventures. Founded by Chetan Reddy and Vichar Shroff in 2023, Confido Health has now raised a total of $25.5M in reported equity funding.

Fragment – $12M

FinTechAI

Fragment, a financial infrastructure platform that automates billing, payments, and accounting for vertical AI companies, has raised $12M in Series A funding led by FirstMark with participation from BoxGroup. Founded by Thomas Neckel in 2021, Fragment has now raised a total of $23M in reported equity funding.

Fission Labs – $10M

FinTech

Fission Labs, a fintech platform that provides liquidity for tokenized investment funds, has raised $10M in Series A funding led by Pantera Capital with participation from New Form Capital, gumi Cryptos Capital, Circle Ventures, Borderless Capital, and Ari Rubenstein. Founded by Jon Shaffer in 2024, Fission Labs has now raised a total of $11.6M in reported equity funding.

Evos – $9M

AI

Evos, an AI platform that creates autonomous operators to handle operational work for small and mid-sized businesses in physical industries, has raised $9M in Pre-Seed funding led by Uncork Capital and Field Ventures with participation from Crosslink Capital, Utopia Capital Management, and Sandwith Ventures. Evos was founded by Urav Shah in 2026.

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Othello – $8M

AI

Othello, an AI platform that coaches sales reps in real time during live calls, has raised $8M in Seed funding from investors that include a16z speedrun, Owl Capital, Long Journey Ventures, Andy Fang, Chris Larsen, Thomas Wolf, David Cramer, Waseem AlShikh, Dean Sysman, Alex Bouaziz, Philippe Bouaziz, and Kevin Stein. Othello was founded by Jared Zelman and Raphael Assor.

Pathways – $6M

AIGreenTech

Pathways, an AI platform that turns manufacturers’ operational data into environmental product declarations, has raised $6M in Seed funding led by Sorenson Capital with participation from Pi Labs, Zacua Ventures, Blue Lion, Positive Ventures, Great Wave, Titan Ventures, and Heidelberg Materials. Founded by Leise Sandeman and Alexander Cooper in 2023, Pathways has now raised a total of $10M in reported equity funding.

Leela – $4.6M

AIFinTech

Leela, an AI platform that automates compliance programs for regulated financial firms, has raised $4.6M in Seed funding led by Array Ventures and Female Founders Fund with participation from Northwestern Mutual Future Ventures and The Council. Leela was founded by Preeti Krishnan in 2024.

AlleyWatch broke the news on this round exclusively.

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Liftline – $400K

Liftline, a yet-to-launch stealth startup, has raised $400K in funding according to a recent SEC filing. The filing indicates that there was one investor in this round. Liftline was founded by Matthew Garippa in 2026.

Zocdoc Acquires Sohar Health

HealthTechExit

Zocdoc, the New York healthcare booking marketplace, has acquired Sohar Health, a startup whose APIs automate insurance eligibility checks. It is Zocdoc’s first acquisition in nearly 20 years. The two companies have partnered since 2025, when millions of Zocdoc patients began verifying their coverage through Sohar’s technology. Terms of the deal were not disclosed.

AlleyWatch broke the news on this exclusively.

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Abby Care – $82.0M

San Francisco-based Abby Care provides an AI-powered platform that trains and supports family caregivers in delivering care at home. Founded by Havi Nguyen in 2021, Abby Care has now raised a total of $117M in total equity funding and is backed by CVS Health Ventures, Frist Cressey Ventures, Khosla Ventures, Pivotal Ventures, Sequoia Capital, Thrive Capital, and Transformation Capital.

Albert Invent – $55.0M

Oakland-based Albert Invent develops an AI platform designed to support chemistry research and development across scientific and industrial applications. Founded by Ken Kisner, Neelesh Vaikhary, Nick Talken, and Zack Kisner in 2022, Albert Invent has now raised a total of $105M in total equity funding and is backed by Applied Ventures, Coatue, Coral Capital, Delta-v Capital, HighSage Ventures, Index Ventures, JPMorgan Chase & Co., Legion, Socium Ventures, and TCV.

Allara – $30.0M

New York-based Allara is a specialty care platform that offers a healthcare program for women’s hormonal health and PCOS through virtual appointments. Founded by Rachel Blank in 2020, Allara has now raised a total of $68.5M in total equity funding and is backed by Camino Partners, Foreground Capital, Google Ventures, Index Ventures, and The Family Fund.
AlleyWatch’s exclusive coverage of this round: Allara Raises $30M to Give Women One Care Team for Hormonal, Metabolic and Reproductive Health

Causa Prima – $20.0M

San Francisco-based Causa Prima is a FinTech company that develops an AI-powered platform for automating financial operations between businesses. Founded by Henrik Gebbing, Markus Ament, and Philip Stanislaus in 2026, Causa Prima has now raised a total of $30M in total equity funding and is backed by Base10 Partners, Borusan Ventures, Creandum, FJ Labs, K Fund, and QED Investors.

Clueso – $10.0M

Dover-based Clueso is a software company that develops an AI-powered platform for creating and maintaining product videos and documentation. Founded by Akash Anand, Neel Balar, and Prajwal Prakash in 2023, Clueso has now raised a total of $11.9M in total equity funding and is backed by Dharana Capital, f7 Ventures, Founders Future, Neotribe Ventures, and Y Combinator.

Confido Health – $12.5M

New York-based Confido Health automates healthcare operations using AI to enhance efficiency. Founded by Chetan Reddy and Vichar Shroff in 2022, Confido Health has now raised a total of $25.5M in total equity funding and is backed by Blume Ventures, Justin Saks, Together Fund, and Z47.

Harmonic Security – $50.0M

San Francisco-based Harmonic Security develops AI governance and cybersecurity software that helps monitor and control the use of AI across business operations. Founded by Alastair Paterson and Bryan Woolgar-O’Neil in 2023, Harmonic Security has now raised a total of $74.5M in total equity funding and is backed by Crosspoint Capital Partners, N47, StepStone Group, and Ten Eleven Ventures.

ICON – $200.0M

Austin-based ICON is the global leader in construction technology changing the way the world builds on Earth and beyond. Founded by Alexander Le Roux, Evan Loomis, and Jason Ballard in 2017, ICON has now raised a total of $772.8M in total equity funding and is backed by Baillie Gifford, BlackRock, Capital Factory, CAZ Investments, Moderne Ventures, Moonshots Capital, Norwest, Overmatch Ventures, The Syndicate.com, and Tiger Global Management.

Loops AI – $3.5M

San Francisco-based Loops AI provides AI-powered search, shopping assistance, and virtual try-on solutions. Founded by Ari Nazir and İlker Zorluoğlu in 2025, Loops AI has now raised a total of $3.5M in total equity funding and is backed by a16z speedrun, Alumni Ventures, Connecticut Innovations, Monday Capital, and NTT DoCoMo.

Marklo – $5.0M

San Mateo-based Marklo is a software company that develops an AI-powered marketing platform for direct-to-consumer brands operating on Shopify. Founded by Jessica Herrin in 2025, Marklo has now raised a total of $5M in total equity funding and is backed by Forerunner and Freestyle Capital.

Modal Labs – $750.0M

New York-based Modal Labs is a serverless cloud infrastructure platform for running machine learning and data processing workloads. Founded by Akshat Bubna and Erik Bernhardsson in 2021, Modal Labs has now raised a total of $1.2B in total equity funding and is backed by Accel, Amplify Partners, Bain Capital Ventures, General Catalyst, Kleiner Perkins, Lux Capital, Menlo Ventures, and Redpoint.

Mueon – $65.0M

Hillsboro-based Mueon manufactures semiconductor-based infrastructure systems designed to support next-generation AI and hyperscale computing workloads. Founded by Wilfred Gomes in 2025, Mueon has now raised a total of $80.5M in total equity funding and is backed by Defined, Geodesic Capital, Intel Capital, IQT, Maverick Silicon, M Ventures, Oregon Venture Fund, and Wellington Capital Management.

Opsin – $21.0M

San Jose-based Opsin develops cybersecurity software that helps organizations manage risks associated with AI tools and autonomous agents. Founded by James Pham, Jeremy Mailen, and Oz Wasserman in 2024, Opsin has now raised a total of $28M in total equity funding and is backed by Race Capital and SYN Ventures.

RapidCanvas – $29.0M

Austin-based RapidCanvas is an enterprise AI platform that pairs an agentic AI architecture with business expertise to design and govern AI workflows. Founded by Kedar Samant, Rahul Pangam, and Uttam Phalnikar in 2021, RapidCanvas has now raised a total of $52.5M in total equity funding and is backed by Accel, Hitachi Ventures, Peak XV Partners, Titanium Ventures, Valley Capital Partners, and Vertex Ventures Southeast Asia & India.

Reach Security – $50.0M

Palo Alto-based Reach Security develops cybersecurity software that helps organizations identify and address weaknesses in their existing security systems. Founded by Colt Blackmore and Garrett Hamilton in 2021, Reach Security has now raised a total of $80M in total equity funding and is backed by Ballistic Ventures, IQT, M12 – Microsoft’s Venture Fund, and Top Tier Capital Partners.

Sirona Medical – $40.0M

San Francisco-based Sirona Medical is a healthcare software company that develops cloud-native radiology workflow technology for medical imaging practices. Founded by Ankit Goyal and Cameron Andrews in 2018, Sirona Medical has now raised a total of $144.5M in total equity funding and is backed by 8VC, Avidity Partners, GreatPoint Ventures, KLT Holdings, and Rose Park Advisors.

Stand – $70.0M

San Francisco-based Stand provides homeowners insurance and property risk management services for residential properties exposed to natural hazards. Founded by Bill Clerico, Dan Preston, Jason Mueller, and Samuel Shank in 2023, Stand has now raised a total of $135M in total equity funding and is backed by Eclipse, Equal Ventures, Inspired Capital Partners, Jackson Square Ventures, Lowercarbon Capital, Neotribe Ventures, and Saga Ventures.

Suki – $90.0M

Redwood City-based Suki develops artificial intelligence solutions to assist clinicians with clinical documentation and administrative tasks. Founded by Anshu Sharma, Karthik Rajan, and Punit Soni in 2017, Suki has now raised a total of $255M in total equity funding and is backed by Crosslink Capital, Flare Capital Partners, Healthier Capital, Hedosophia, Hercules Capital, Philips Venture Capital Fund, Venrock, and Zoom Ventures.

Sunbound – $24.0M

Washington-based Sunbound provides an AI-powered financial operations platform designed for senior living and skilled nursing providers. Founded by Manny Cominsky, Nat Miller, and Stuart Mason in 2021, Sunbound has now raised a total of $24M in total equity funding and is backed by Bling Capital, Fika Ventures, Live Oak Bank, TTV Capital, and Ziegler Link-Age Funds.

Zippy – $20.0M

Dallas-based Zippy provides digital lending services focused on financing manufactured homes through an online platform. Founded by Ben Halliday and Jordan Bucy in 2021, Zippy has now raised a total of $98.4M in total equity funding and is backed by Saluda Grade.

AlleyWatch sat down with Stuut Cofounder and CEO Tarek Alaruri to learn more about the business, its future plans, recent funding round, and much, much more…

Who were your investors and how much did you raise?

We raised a $52.5M Series B led by Insight Partners, with participation from Andreessen Horowitz, M12, Microsoft’s Venture Fund, and Activant. The round comes ten months after our Series A and brings our total funding to $93M.

Tell us about the product or service that Stuut offers.

Stuut is the AI coworker that runs order-to-cash for the world’s leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank. Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date.

What inspired the start of Stuut?

Earlier in my career at Total Quality Logistics, I saw how much work went into collecting invoices that were delayed by basic clerical issues. A missing purchase order or an invoice sent to the wrong person could set off weeks of follow-up. I started Stuut with collections because that pain was so visible. As the company continued to work with larger enterprises, we saw that the overdue invoice was often the final symptom of a problem further upstream. That led to building an AI coworker that could carry the context and do the work across the entire order-to-cash process.

How is Stuut different?

Stuut actually does the work. Most finance software organizes tasks, surfaces problems and asks a person to resolve them. Stuut takes the next action itself, whether that means contacting a customer, investigating a dispute or applying a payment. It also remembers what happened across the full customer relationship, so teams do not have to reconstruct the story at every handoff. Every payment, promise and exception helps it make better decisions over time. And it is built for enterprise reality: legacy ERPs, multiple entities, large transaction volumes and strict financial controls, with deployments in days.

What market does Stuut target and how big is it?

We serve B2B companies from the mid-market to the Fortune 50, particularly businesses with large invoice volumes, complex customer relationships and fragmented systems. That includes manufacturers, distributors, industrial businesses and medical device companies. Businesses worldwide carry $16 trillion in receivables, including $7.2 trillion in the US. That is the amount of cash tied up in receivables, rather than the size of the software market. Our opportunity is to automate the work required to move that money from an order to the bank.

What’s your business model?

B2B. 

How are you preparing for a potential economic slowdown?

We are focused on delivering value that customers can measure directly in their cash flow and operating capacity. When budgets tighten, getting paid for work already completed becomes even more important. Stuut helps companies release working capital and serve more accounts with the team they already have. Internally, our priority is to put capital behind the product and customer delivery capabilities that produce those outcomes, with hiring and expansion tied to clear business needs.

What was the funding process like?

We raised this round as customer demand expanded beyond collections into the full order-to-cash lifecycle. That gave us a concrete story to bring to investors: enterprises were already using Stuut, seeing measurable results and trusting it with more of their operations. Insight Partners had also known me for nearly a decade and had backed me previously. This round gives us the resources to meet that demand and build further into the financial infrastructure around each transaction.

What are the milestones you plan to achieve in the next six months?

Over the next six months, our priorities are to bring Stuut to more enterprises, expand adoption across the full order-to-cash lifecycle and deepen the capabilities that let it handle complex exceptions autonomously. We want existing customers to trust Stuut with more of their operations while preserving fast deployment and clear financial controls. We will measure progress through customer adoption, faster payment, less manual work and the share of the operation Stuut can run without human intervention.

What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?

Stay close to the problem customers are willing to pay you to solve. Focus your resources on the work that delivers a clear result, and use that evidence to earn the next customer. Also, pay attention to your own working capital. A sale is not cash until you get paid, and improving how quickly money moves through the business can create room to invest without raising another round. New funding gives you options, but the business still has to earn its growth.

Where do you see the company going now over the near term?

We see Stuut becoming responsible for more of the journey from order to cash. Customers are already expanding its role: ZoomInfo into disputes, Honeywell toward quote-to-cash, and Bishop Lifting across collections, disputes and cash application. The near-term focus is to deepen that work and bring it to more enterprises. Over time, the same context and ability to act can support credit, lending and the movement of funds. Our mission is to make the movement of money between businesses autonomous.

What’s your favorite fall destination in and around the city?

Carl Schultz Park with my daughter (who is a princess ).

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North.cloud – $60M

Enterprise

North.cloud, a cloud financial management platform that helps finance and engineering teams optimize and automate spend across cloud, AI, and data infrastructure, has raised $60M in Series B funding led by PeakSpan Capital with participation from Litquidity Ventures, Companyon Ventures, Alpaca VC, Uncommon Denominator, Gaingels, and Mana Ventures. Founded by Matt Biringer and Yassine Acoine in 2023, North.cloud has now raised a total of $67.6M in reported equity funding.

Scuba – $34M

AI

Scuba, a shared context engine that organizes team knowledge and connects it to AI agents, has raised $34M in Pre-Seed and Seed funding led by Accel and IVP with participation from BoxGroup, Conviction, Homebrew, and Scribble Ventures. Scuba was founded by Noah Desai Weiss and Dolapo Falola in 2025.

Fragment – $12M

FinTechAI

Fragment, a financial infrastructure platform that automates billing, payments, and accounting for vertical AI companies, has raised $12M in Series A funding led by FirstMark with participation from BoxGroup. Founded by Thomas Neckel in 2021, Fragment has now raised a total of $23M in reported equity funding.

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Fission Labs – $10M

FinTech

Fission Labs, a fintech platform that provides liquidity for tokenized investment funds, has raised $10M in Series A funding led by Pantera Capital with participation from New Form Capital, gumi Cryptos Capital, Circle Ventures, Borderless Capital, and Ari Rubenstein. Founded by Jon Shaffer in 2024, Fission Labs has now raised a total of $11.6M in reported equity funding.

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Small and mid-sized companies make up most of the physical economy: 99.3% of US motor carriers run fewer than 100 trucks, and 93% of US manufacturers employ fewer than 100 people. Their most valuable asset is the judgment of employees with 20 years on the job, and software that only records what already happened captures almost none of it, so that knowledge leaves when those veterans retire. Evos builds autonomous operators that learn a job from a company’s most experienced people, prove they can match those people’s decisions, and then do the work inside the TMS, WMS, ERP or shared inbox the business already runs. Each operator starts in shadow mode, takes over a function only after its decisions consistently match the team’s, and gives the business control over how much autonomy to grant. One freight brokerage uses an Evos operator to audit every LTL carrier invoice against its TMS, and the operator made nearly 3,500 audit decisions at 97% accuracy in two months and closed out more than $600K of invoice value in the last five weeks alone. Evos passed $1M in ARR four weeks after its first deployments, and every customer has added operators beyond its first.

AlleyWatch sat down with Evos Founder and CEO Urav Shah to learn more about the business, its future plans, recent funding round, and much, much more…

Who were your investors and how much did you raise?

We raised $9M in pre-seed funding. The round was co-led by Uncork Capital and Field Ventures, with participation from Crosslink Capital, Utopia Capital Management, Sandwith Ventures, and a group of angel investors.

Tell us about the product or service that Evos offers.

Evos builds autonomous operators for the businesses that make, move and power the economy: freight brokers, carriers, 3PLs and manufacturers. An operator learns a job from a company’s most experienced people, proves it can match their decisions, and then does the work itself inside the systems the business already runs, whether that is a TMS, a WMS, an ERP or a shared inbox. It replaces nothing and sits on top of what is already there.

For a freight brokerage, that means operators that audit carrier invoices, track loads, handle check calls and work exceptions. For a carrier, it is broker communication, dispatch support, status updates and billing. For a 3PL, it is order and shipment exceptions, customer updates and inventory reconciliation. For a manufacturer, it is production scheduling, supplier follow-ups, quality non-conformance and the procurement paperwork that eats a planner’s week. In every case the operator learns the job from the person who does it today, starts in shadow mode, and only runs on its own once its decisions consistently match the team’s.

The difference from most AI tools is that an operator is given a function, not a prompt. Nobody has to ask it, review it and act on every answer. One freight brokerage has an operator auditing every LTL carrier invoice against its TMS: nearly 3,500 audit decisions at 97% accuracy in its first two months, and more than $600,000 of invoice value closed out in the last five weeks alone.

What inspired the start of Evos?

The story is partly my own. My family ran a manufacturing business in Nairobi for decades, and I spent much of my childhood on factory floors. I went into tech early, started my first company at 18, and by 23 had founded four and exited two, across generative world models, quantum computing and modular data centers.

After my last exit I went home and started consulting for businesses like my family’s: small and mid-sized companies in the physical economy. What struck me was how little had been built for them. Their software was a system of record that logged what had already happened, while the real work happened outside it, with people. Anything better cost hundreds of thousands of dollars and months to implement. And the most capable system in most of these businesses was the person who had been there 20 years, whose knowledge had never been written down and who was about to retire. Evos is the product I wished those businesses had.

How is Evos different?

Three things. First, how it gets live. Where a consultancy would spend 9 to 18 months mapping workflows, the discovery with Evos is a conversation between the team and an agent. We call it the Trifecta: one hour with a company’s experts, a working operator the next day, measurable results within a month.

Second, what it delivers. Most AI tools need constant prompting, so the team ends up managing inputs. An Evos operator takes on a function and is judged on outcomes. It learns from the decisions the team actually makes rather than from an instruction manual, and the business decides how far to take it, from a person signing off on every step to the operator running entirely on its own.

Third, who it is built for. Nearly every well-funded entrant in this space is chasing the hundred largest companies in each industry. We built something that works for a 50-person brokerage or a third-generation machine shop, fits into the operation with almost no change management, and is designed to pay for itself in weeks.

What market does Evos target and how big is it?

Small and mid-sized businesses in physical industries. In the US, 99.3% of motor carriers run fewer than 100 trucks and 93% of manufacturers have fewer than 100 employees. By count they are nearly the entire industry, and almost nothing has been built for them.

The spend they sit on is enormous. US business logistics costs alone were $2.4 trillion in 2025, about 7.8% of GDP. We started in logistics, with freight brokers, carriers and 3PLs, and the platform is horizontal by design: manufacturing, e-commerce, food and beverage and retail follow as the platform launches.

What’s your business model?

We do not sell software or seats. We sell the work, completed. There are two options: pricing tied to the outcomes an operator delivers, which keeps us a fair partner when we are running functions inside someone’s business, and a fixed option for customers who want a cost they can budget against. Margins in these industries are thin, so anything new has to show a return quickly, and the model is built around that.

How are you preparing for a potential economic slowdown?

The businesses we serve have always operated as if a slowdown is coming. Margins are thin, there is no IT team and no appetite for a twelve-month implementation, so we built the product to pay for itself in weeks and priced it against the outcomes it delivers. When volumes soften and teams cannot hire, the need to get more done with the people you already have goes up, not down.

On our side, we passed $1M in ARR within four weeks of our first deployments, every customer has added operators beyond their first, and nobody has churned. We are growing the team deliberately rather than quickly, and the round gives us a long runway to do that.

What was the funding process like?

Fast, and led by the customers more than by us. By the time we were in conversations with investors, operators were already live and the results were visible, so most of the diligence was investors talking to the people running Evos on their own ops floors. Uncork and Field both moved quickly, and the rest of the round came together around them.

What are the biggest challenges that you faced while raising capital?

The hardest part was the market, not the product. Investors are trained to look at the top of each industry, so the first job was showing that a 50-person trucking company is not a niche, it is most of the physical economy, and that it will pay for work that actually gets done. The second was credibility: I am 23 and selling into businesses that have been handed down through three generations. The deployments did that arguing for us.

What factors about your business led your investors to write the check?

Proof that the work was getting done. Operators live inside real businesses, measurable results in weeks, $1M in ARR four weeks after our first deployments, and customers expanding rather than churning. Our investors put it better than I can: Tripp Jones at Uncork said what stood out was how quickly teams were putting operators to work on core parts of their business without a long technology roll-out, and Richard Kerby at Field said that for decades software sold to industrial businesses has helped people track work but stopped short of doing it. That gap, and the speed at which we were closing it, is what they backed.

What are the milestones you plan to achieve in the next six months?

Launching Workhorse, our platform, in the coming weeks. Growing the team to around 16 by the end of the year, with most of those hires in New York. Taking operators beyond logistics into manufacturing and the other sectors we built the platform for. And building partner offerings with the private equity firms and consultancies that already work with these businesses every day.

Launching Workhorse, our platform, in the coming weeks. Growing the team to around 16 by the end of the year, with most of those hires in New York. Taking operators beyond logistics into manufacturing and the other sectors we built the platform for. And building partner offerings with the private equity firms and consultancies that already work with these businesses every day.

What advice can you offer companies in New York that do not have a fresh injection of capital in the bank?

Sell the outcome and get to revenue. The businesses that will pay you are the ones that do not care about your tech, they care that the work gets done. If you can show that in weeks rather than quarters, customers will fund you before investors do, and the conversations with investors get a lot shorter. The other piece is to pick a market the rest of the industry is ignoring. There is far less competition for customers’ attention in the physical economy than in software.

Where do you see the company going now over the near term?

Launch week first. Then Workhorse, our platform launch. We are at Broker Carrier Summit in Dallas and FreightWaves F3 in Chattanooga at the end of October, we have just moved into a new office in West Chelsea, and we are hiring. The near-term goal is simple: more operators running more functions for more brokers, carriers, 3PLs and manufacturers, and every one of them proving it can match the best person on the team.

What’s your favorite fall destination in and around the city?

Pete’s Pies.

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As we build the healthcare access infrastructure that powers care everywhere patients search, we are investing deeply in making the experience of finding and booking care more seamless for more patients at scale. We know the Sohar technology and team well, and we share a desire to tackle complex, systemic problems to remove the barriers that stand between patients and their care. We are confident that bringing Sohar’s platform and expertise into Zocdoc will make insurance easier to navigate for patients and their providers when it matters most: at the moment of booking. – Oliver Kharraz

Founded in 2023 by Ashish Mandavia, MD and Lucas Gordon, Sohar Health had raised $3.8M in seed funding and is backed by Kindred Capital, Concept Ventures, Rebel Fund, and Y Combinator, where it went through the Summer 2023 batch. Sohar sells APIs that find a patient’s active coverage from basic details like a name and date of birth, then verify benefits, confirm whether a provider is in-network, and estimate costs. The platform covers more than 1000 payers across the U.S. and counts BetterHelp, Headway, Rula, and Talkiatry among its customers.

The two companies were already working together. Zocdoc picked Sohar as its insurance technology partner in 2025 after evaluating other options, and millions of Zocdoc patients have since verified their coverage through Sohar’s technology. “As a physician, it has always baffled me that at the moment people need care most, they have to face a gauntlet just to understand whether their insurance will cover it,” remarked Ashish Mandavia, MD, Cofounder and CEO of Sohar Health. “Whether someone is navigating a health crisis or booking routine appointments, they should be able to access care without unnecessary friction. We built Sohar to help create that experience, and we can now bring it to millions more patients with Zocdoc.”

As a physician, it has always baffled me that at the moment people need care most, they have to face a gauntlet just to understand whether their insurance will cover it. Whether someone is navigating a health crisis or booking routine appointments, they should be able to access care without unnecessary friction. We built Sohar to help create that experience, and we can now bring it to millions more patients with Zocdoc. – Ashish Mandavia