Less than eighteen months later, their company – Black Forest Labs – closed a $300 million Series B at a valuation of $3.25 billion. Its image-generation model FLUX.1 had, in the words of the technical community, made every competitor look slow. Its customer list included Adobe, Canva, Microsoft, and Meta. And its team numbered roughly fifty people.

Fifty people. From a side street in Freiburg. This is the story the European startup ecosystem hasn’t quite processed yet.

The old logic made sense – until it didn’t

For the better part of two decades, the advice was simple: if you’re serious about building a startup in Europe, move to a hub. Berlin, Paris, Amsterdam, Stockholm, London – these cities offered the density of talent, capital, and networks that startups need to grow fast. The logic was sound. Hiring was easier. Investors were nearby. The coffee shops were full of people who had done it before.

The problem is that this logic was never really about geography. It was about access. Hubs concentrated resources that were scarce and unevenly distributed. Talent gravitated to cities because that’s where the jobs were. Investors clustered together because deal flow follows relationship networks. The geography was a side effect, not the cause.

That distinction matters enormously in 2026 – because AI has already dissolved much of the scarcity that made hub concentration necessary in the first place. Not “is starting to dissolve.” Has dissolved. The question is whether the funding infrastructure has processed that reality yet. It hasn’t.

What AI has actually changed – and what it hasn’t

The wave of AI tools that reshaped the startup world from 2022 onward is often discussed in terms of productivity: you can write code faster, produce content faster, handle customer support at scale. True. But by now, those gains are table stakes. Every founder has access to them. The deeper shift is structural, and it compounds over time.

Tasks that previously required specialist hires – product design, legal drafting, financial modelling, competitive research, even early sales – can now be handled by a solo founder with the right tools and enough domain knowledge. The minimum​ viable team for a software startup has dropped from ten to three. In some cases, to one.

Black Forest Labs is the extreme version of this thesis. Robin Rombach, Andreas Blattmann, and their co-founder Patrick Esser had been part of the research group of Björn Ommer – a lab that began at Heidelberg University and later moved to LMU Munich – which produced the foundational architecture behind Stable Diffusion.

When they left Stability AI in early 2024, they didn’t go to Berlin or London. They went to Freiburg – a university city of around 230,000 people in the southwest corner of Germany, better known for its cycling culture and the Black Forest on its doorstep than for any startup scene.

The choice was deliberate. Andreas Blattmann grew up in nearby Elzach. The region was home. And critically, it didn’t matter that it wasn’t a hub. Their competitive advantage wasn’t proximity to a VC network. It was a decade of accumulated research expertise that nobody else had – and a product, FLUX.1, that the market immediately recognised as the new standard.

When team size becomes optional, and domain knowledge is your moat, location becomes negotiable.

It’s worth being precise about what Black Forest Labs proves and what it doesn’t. Its moat was not AI-enabled leanness; it was a decade of rare research expertise that almost nobody else had. A sceptic could reasonably argue it would have succeeded anywhere – and that is exactly the point.

When the moat sits in the founders’ heads rather than in a city’s network, location stops being a constraint, and the team is free to optimise for what a smaller place does better: focus, low cost, and roots.

For founders in non-metropolitan Germany, Poland, Romania, or rural France, this isn’t a productivity story. It’s a structural levelling. The resources that used to require a Berlin postcode are now accessible from a broadband connection.

The structural advantages that hubs can’t replicate

Here’s the contrarian observation: non-metropolitan founders don’t just benefit from AI parity. In several important dimensions, they hold structural advantages that hub- based startups actively struggle to match.

The first is burn rate. A founding team operating out of Leipzig, Rostock, or Rzeszów can run lean in a way that’s genuinely difficult in Berlin or Paris. Office costs are lower. Salaries are lower – not because the talent is worse, but because the cost of living is different.

Black Forest Labs reached a $3.25 billion valuation with fifty​ employees; that ratio of valuation to headcount is possible in part because Freiburg is not San Francisco. A team running, say, 40% leaner on monthly burn can iterate longer, raise less, and survive the kind of slow-burn capital market that has defined Europe since 2022.

The second advantage is proximity to real problems. The German Mittelstand – the roughly 3.5 million small and medium-sized businesses that form the backbone of the country’s economy – is not headquartered in Berlin. It’s in Gütersloh, in Wolfsburg, in Memmingen.

Founders who grew up in these regions, who have family connections to manufacturing, logistics, trades, and agriculture, have a kind of problem intimacy that is genuinely hard to manufacture from a co-working space in Kreuzberg. They understand the pain before they write the pitch deck. BFL’s founders understood generative AI research at a level nobody else did. That’s domain knowledge from a different domain – but the principle is the same.

The third is talent that hasn’t been competed away. Smaller cities and rural regions have universities, polytechnics, and vocational schools producing capable graduates who often stay local. Freiburg has a strong university; Heidelberg, where BFL’s founders began their research, is not Berlin. The talent market in these cities is less liquid – which means it’s more accessible to early-stage companies without the brand recognition to win in saturated markets.

The funding gap is real – and it’s getting worse, not better

The honest counterargument is capital. Geographic concentration in European VC hasn’t narrowed – it’s deepened. London alone raised more venture funding in 2025 than the next twenty European cities combined.

For a founder in Erfurt or Gdańsk, the practical reality of accessing Series A capital is still substantially harder than for their counterpart in Mitte or Shoreditch. The data does not support optimism here.

It’s worth noting that Black Forest Labs navigated this partly by accepting US capital – Andreessen Horowitz led the Seed round, and Salesforce Ventures and AMP co-led the Series B. The company is formally registered in the US as well as Germany.

A sceptic could argue this makes BFL a US-backed company with a German office, not a non-metropolitan European success story. That reading underestimates the significance of where the company was built and where its talent sits. But it points to a real structural problem: European non-hub founders often still need to reach outside Europe to access growth capital at scale.

What is shifting, slowly, is the source structure of capital within Europe.

In 2025, French and German VC firms dominated the rankings of new funds raised, taking all but three of the top 10 spots – a notable contrast to 2024, when London-based funds held eight of the top ten. This matters because a broader geographic distribution of fund formation tends, over time, to pull investment sourcing away from a single gravitational centre.

It is a weak signal, but it is a real one.

The more durable structural shift is the rise of national development banks and EU cohesion instruments as funders of non-hub ecosystems. These vehicles don’t replace venture capital, but they provide the bridge that lets a non-metropolitan startup get to​ the point where a VC conversation makes sense.

Closing that gap remains the single most important policy lever available to the European startup ecosystem.

What the ecosystem needs to do

The startup ecosystem – investors, accelerators, policymakers, media – still largely operates on a mental map drawn in 2015. The assumption baked into most evaluation frameworks is that serious startups cluster in serious cities. Black Forest Labs is evidence that this assumption is wrong.

But BFL is an extreme case – world-class researchers with a decade of accumulated IP. The question is what happens to the broader cohort of non-metropolitan founders who are less exceptional, but still structurally better positioned than the ecosystem gives them credit for.

A few concrete shifts would help.

Accelerators should move from city-centric to sector-centric models, measuring impact by outcome rather than alumni count, and deliberately recruiting from non- metropolitan regions where talent is systematically underrepresented.

The most valuable thing an accelerator can do in 2026 is not provide office space in a co- working hub – it’s connect a founder in Bremerhaven to a customer in Stuttgart and a fund in Munich.

Investors should weight regional distribution as a positive signal. A founding team with deep roots in a market they’re serving is not a red flag; it’s often a moat. The pandemic-era lesson that geography matters less to deal quality than assumed has been quietly absorbed by many European funds – but it hasn’t yet translated into systematic sourcing changes.

EU and national funding instruments should close the equity gap for non-metropolitan founders, many of whom are currently channelled exclusively toward grant programmes that don’t build the same institutional muscle as equity-backed growth.

Grants extend runway. They don’t build the investor relationship, the governance discipline, or the scaling muscle that comes with equity. Both are needed.

The thesis, stated plainly

The combination of AI-enabled execution and structural regional advantages is producing a cohort of European founders who are better capitalised on time, better connected to real customer pain, and less exposed to the cost pressures that kill early-stage companies.

Black Forest Labs didn’t need Berlin. It needed a decade of research, a broadband connection, and a product that was simply better than everything else. The Freiburg address wasn’t a handicap. In a perverse way, it might have been an asset – fewer distractions, lower burn, a tight team that wasn’t competing with fifty other well-funded AI startups for the same senior engineers.

In 2025, new unicorns emerged from eleven different European countries. The next one might be registered in a city you’ve never heard of. That’s not a bug in the European startup ecosystem. In 2026, it might be exactly why it wins.​

The European startup ecosystem has spent two decades trying to build hubs that look like Silicon Valley. The more interesting question now is what gets built by the founders who were never invited to the hub – and no longer need to be.

The post Why the next wave of European Unicorns won’t come from Berlin, Paris or Amsterdam appeared first on EU-Startups.

The round was led by a group of global strategic investors, including Suntory, Estrella Galicia, Apollo Hospitals, and UPSA, while investment from Birmingham’s Future Planet Capital Regional further signals the company’s regional roots.

“Securing this funding marks a major milestone for us. Following a year of significant transformation and against one of the toughest fundraising environments in recent years, we are now in a strong position to scale globally,” says Melissa Snover, Founder and CEO of Rem3dy Health.

The company’s aim is to use these funds to enter key international markets including the US, MENA region and India, whilst also enabling the company to move into personalised health solutions for pets.

This fundraise forms part of the €148.2 million of disclosed funding which has been invested in HealthTech, preventive health, digital care and patient-facing care in 2026 according to our coverage. The UK is particularly relevant in these areas with London-based startups Semble, JAAQ and Calibre closing significant rounds in recent months.

While Rem3dy Health’s focus on AI-driven personalised nutrition and advanced manufacturing is more consumer-wellness oriented than many of these healthcare-delivery platforms, the round fits within a broader 2026 context in which investors are backing companies that use data, automation and personalisation to support more scalable health-related services.

“We are delighted to see Rem3dy Health continue to attract significant backing to fuel their already impressive growth. When we first invested in Rem3dy, it was clear they were developing a truly disruptive brand and technology capable of revolutionising the global wellness industry,” added Rupert Lyle, Investment Director at Future Planet Capital Regional and Fund Principal of West Midlands Co-Investment Fund (WMCO).

Founded in 2019, Rem3dy Health uses AI-driven personalised nutrition and advanced manufacturing, combining data science, 3D printing and automation to deliver tailored health solutions at scale.

The company says the investment highlights a broader strategic shift, with global consumer and healthcare players increasingly backing next-generation health technology businesses.

Estrella Galicia’s participation, for example, is said to signal expansion beyond traditional categories, while Apollo Hospitals is said to bring expertise from one of the world’s largest integrated healthcare providers.

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The round, led by Ugly Duckling Ventures, includes participation from Eviny Ventures, LUMO Labs, the European Innovation Council (EIC) Fund, alongside non-dilutive funding from Business Finland.

“We’re turning existing mobile networks into the data layer for next-generation weather
forecasting and climate intelligence. With this funding, we’re scaling a global, telecom-powered sensing network to meet accelerating demand from AI-driven forecasting platforms and weather-affected industries unlocking the high-density data needed to operate in an increasingly volatile climate,” says Fredrik Borgström, CEO of Skyfora.

“When we first invested in Skyfora, there was a technical risk in the feasibility of rolling it out in the eco-system. With the technical risk significantly reduced, the opportunity now lies in commercialising a truly unique atmospheric data platform.

“We are proud to lead this round and support Skyfora as it scales globally and brings a new generation of weather intelligence customers across industries,” adds Andreas Green Rasmussen, GP at Ugly Duckling Ventures.​

The funding will be used to accelerate the commercial rollout of Skyfora’s platform and data
products, partnerships with telecom and weather industry players across Europe, the United States, and the Middle East. The company is preparing for the commercial launch of its real- time data API and atmospheric intelligence dashboard in mid-2026.

Skyfora says their data streams feed AI weather models, numerical weather prediction systems and operational platforms across energy, defence, logistics, civil protection and critical infrastructure.

For telecom operators, Skyfora aims to convert existing infrastructure into a new source of value through a software-only solution with no additional additional operational or infrastructure costs.

The post Finnish Skyfora raises €6.5 million to quicken deployment of atmospheric sensing network appeared first on EU-Startups.

Espoo-based ICEYE, an innovator in sovereign intelligence from space, has raised €450 million in a primary Series F funding round to meet growing demand for space-based intelligence, defence and resilience solutions – valuing the company at over €10 billion.

The round was led by General Atlantic. Additional investors include Solidium, Tesi, Varma, Ilmarinen, Lifeline Ventures, as well as Nokia, Qatar Investment Authority (QIA) and TCV. Together with a secondary placement, the total Series F funding round exceeds €1 billion.

Rafal Modrzewski, co-founder and CEO of ICEYE, says: “The quality of investors who have chosen to back us at this scale reflects a shared belief. Sovereign intelligence from space is entering a new era and the window to build it is now. ICEYE has built the world’s most advanced, proven capability to meet that demand. This funding enables us to accelerate the delivery of new capabilities to governments and customers faster than ever before.”

Justin Hotard, President and CEO of Nokia, adds: “Modern defense increasingly depends on combining trusted connectivity with real-time visibility. Nokia and ICEYE bring complementary strengths that can help advance Europe’s defense, resilience and technological sovereignty. This combination will become increasingly important as governments and industries look to build more secure, aware and adaptable critical systems.”

Founded in 2014, ICEYE is one of the most significant Finnish DeepTech and dual-use companies. A fast-growing global business, ICEYE manufactures and operates small SAR satellites capable of imaging the Earth through cloud cover, day or night.

According to the company, seven governments to date across Europe have procured sovereign satellite systems from ICEYE, making it the leading provider of space-based intelligence.

Today’s Series F follows a period of significant momentum for ICEYE. In 2025, ICEYE scaled growth, profitability, and cash generation simultaneously – crossing over €250 million in revenue, and over €100 million in EBITDA, while building a contracted backlog of over €1.5 billion.

Production is now doubling, from 50 satellites per year today to a target of 100 annually by 2028 and beyond, supported by a matching launch cadence.

ICEYE also recently delivered a fully operational sovereign space system to the Polish Armed Forces, from contract signing to operational capability in 12 months, reportedly among the fastest sovereign space deployments in history.

Sascha Günther, Managing Director, Head of DACH, and Co-Head of EMEA Technology at General Atlantic, says: “ICEYE has fundamentally redefined Earth observation. The company pioneered the shift to next-generation, agile satellite fleets that deliver greater strategic capability with far greater cost efficiency – and today operates the world’s largest and most advanced SAR constellation on a vertically integrated platform.

“Rafal and the team are taking breakthrough technology from innovation to commercial and operational success at scale, and we believe global structural demand for ICEYE’s intelligence will continue to accelerate. We are proud to back remarkable builders like ICEYE as they push the boundaries of what’s possible.”

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As attacks become more sophisticated, startups across the continent are developing AI-driven tools to identify suspicious behaviour faster, strengthen digital identity checks, and reduce the risk of financial losses. The need for this is particularly clear during peak travel periods: according to Stoïk, seven out of ten companies face cybersecurity threats during the summer, with the tourism sector accounting for 70% of these incidents. This serves as a reminder of how alert businesses need to be, especially in industries handling large volumes of customer data and online transactions.

In EU-Startups’ 2026 coverage, cybersecurity-led fraud detection appears especially focused on human-targeted attacks, including impersonation or credential theft. The clearest examples are Spain’s Zepo Intelligence and France’s MokN, which together raised approximately €25.7 million in 2026. Their funding suggests that investor attention in this part of the cybersecurity market is moving towards tools that help organisations detect and prevent fraud at an earlier stage, before attackers can access accounts, move money or steal sensitive data.

With that in mind, we highlight 10 promising European startups developing technologies to help organisations identify, prevent and respond to fraud.

Madrid-based Acoru, has created a system to prevent banks and financial companies spot fraud before money is moved. Its AI platform analyses account behaviour, login activity, transaction patterns and other risk signals to detect suspicious activity linked to scams, fake accounts, money mules and financial crime.

Its system classifies accounts by risk level so banks can decide whether to block, review or monitor activity before a transaction goes through. It also lets organisations share fraud signals with each other while keeping sensitive customer data private. Founded in 2023, Acoru raised €14 million in total funding.

Launched in 2024, AVIEL Intelligence helps financial institutions prevent customers from making payments to scammers. It monitors and analyses digital interactions to identify signs of financial grooming, scam activity and risky payment behaviour before fraudulent transactions are completed.

AVIEL works with banks, payment providers, regulators and other organisations looking to strengthen digital security, offering its technology through a subscription-based model and partnerships. Based in London, the startup secured €695k in funding.

FALKIN, based in London and founded in 2024, builds AI-driven tools that help banks protect customers from scams before payments happen. Its technology analyses behavioural and digital risk signals to detect signs of deception early and can be embedded into banking apps, customer-service portals and other trusted digital channels.

The platform enables financial institutions to intervene earlier when a customer shows signs of scam risk. FALKIN has raised €1.7 million in total funding.

Paris-based MokN, is a cybersecurity startup that protects organisations against credential theft. Its platform uses realistic decoy access points, such as fake VPN or webmail portals, to trick attackers into entering stolen credentials before they can be used or exposed on the dark web. This gives security teams an earlier way to detect and respond to phishing attacks.

MokN works with large companies and mid-sized organisations, and according to them, it protects more than 1 million users. Launched in 2024, their total funding is €15.5 million.

Headquartered in Paris, Prelude is a telecom data, device intelligence, network signals and behavioural patterns to assess whether a user is legitimate across onboarding and later interactions.

Prelude’s tools include APIs for phone verification, real-time carrier intelligence and continuous trust checks, designed to support user verification while reducing SMS fraud and fake-user activity. Launched in 2023, Prelude has raised €24.3 million in total funding.

We are especially happy to include PryvX in this list, which won the EU-Startups Summit Pitch Competition in 2025. The Stockholm-based startup develops a privacy-focused data collaboration platform that enables organisations in telecom, finance and insurance to work together on fraud detection and cybersecurity without exposing sensitive information. Its technology helps identify risks, including telecom fraud, banking fraud, identity theft, IoT security threats and other forms of cybercrime.

The platform creates secure data clean rooms, where organisations can share insights while keeping control of confidential data. PryvX uses privacy-enhancing technologies such as federated learning, homomorphic encryption, differential privacy, secure multi-party computation and zero-knowledge proofs. Since its launch in 2024, they secured €144k in funding.

Qevlar AI was founded in 2023 to create an agentic AI platform for security operations centres. Its platform reviews security alerts, gathers the relevant information and checks whether the activity is harmless or a real threat. This helps security teams avoid spending too much time on false alarms.

The tool is used by large companies and managed security providers to speed up investigations and decide what action to take. Headquartered in Paris, Qevlar AI raised €38.9 million in funding.

Madrid-based Sybol founded in 2025, develops corporate digital identity infrastructure and verifiable credentials for companies. Its platform allows organisations to issue, share and verify digital certificates linked to their identity, helping replace manual documents with secure digital evidence.

By issuing and verifying trusted digital credentials for companies, suppliers, employees and clients, Sybol aims to reduce the risk of fake documents, false business identities, supplier impersonation and unauthorised access. The startup has raised €414k in funding.

Tunic Pay is based in London, and they provide real-time payment intelligence to help banks and payment providers spot scams before money is sent. Its platform gives teams more context on each transaction, helping them verify payments, flag scam risk early and clear genuine payments faster.

They combine data, customer journeys and AI-driven decisioning across the payment process, from pre-payment checks to fraud investigations. It also uses shared, anonymised intelligence across institutions to identify emerging scam patterns in real time. Launched in 2023, Tunic Pay has raised €4.3 million in total funding.

Barcelona-based Zynap is developing a cybersecurity software that uses generative AI to help companies detect and understand cyber threats earlier. Its platform simulates cybercriminal tactics and turns threat intelligence into practical insights, helping security teams see how attackers may behave and where risks could appear.

Zynap is built for large companies and managed security service providers that need faster, more scalable ways to defend against cyberattacks. Its tools are designed to integrate with existing security systems and support more informed decisions before threats cause damage. Founded in 2024, they raised €11.7 million in funding.

By the way: If you’re a corporate or investor looking for exciting startups in a specific market for a potential investment or acquisition, check out our Startup Sourcing Service!

The post 10 fraud-prevention startups taking on scammers before they strike appeared first on EU-Startups.

The round was co-led by XISTA Science Ventures and aws Gründungsfonds, with participation from Fund F.

“EMILIE combines the high sensitivity of nanomechanical sensing with the wide availability of infrared spectrometers. This funding will allow us to bring this new capability into more hands, from researchers developing new nanoparticle-based drugs and nanomaterials to atmospheric scientists working at the Earth’s poles,” says Dr. Josiane P. Lafleur, CEO and co-founder, Invisible-Light Labs.

“We have been deeply impressed by how the founding team of ILL has translated strong scientific insight into an exceptional technology and product, now being co-marketed with Bruker, the market leader in its field. Achieving this with limited resources speaks to the team’s capabilities, focus, and drive. We are excited to support ILL in the next stage of its journey,” adds Dr. Alexander Schwartz, Partner XISTA Science Ventures.

Invisible-Light Labs is a DeepTech company spun out of TU Wien in 2019, the company commercialises nanoelectromechanical Fourier-transform infrared spectroscopy (NEMS-FTIR), a measurement technology that delivers picogram-level chemical identification of sub-micron particles, aerosols, and samples available in very limited quantities.

Founded by Univ.-Prof. Dr. Silvan Schmid, Dr. Josiane P. Lafleur, Dr. Niklas Luhmann, and Dr. Hajrudin Bešić, Invisible-Light Labs combines nanoelectromechanical sensing technology with Fourier transform infrared (FTIR) spectroscopy to enable chemical analysis of nanomaterials and materials available in extremely small quantities across industries ranging from pharmaceuticals to environmental monitoring.

Its flagship product EMILIE, also sold jointly with Bruker Optics as BRKR-EMILIE, is a commercially available NEMS-FTIR analyzer.

The company says nanomaterials such as aerosols, nanoplastics, and nanopharmaceuticals are becoming increasingly important in environmental health, consumer safety, advanced therapeutics, and semiconductors.

At the same time, conventional analytical methods are often inadequate to chemically characterise such materials at the relevant scale in a short measurement time. Invisible-Light Labs aims to address this gap with a new generation of highly sensitive and easy-to-use tools.

Invisible-Light Labs entered a strategic partnership with Bruker Optics in 2025 to expand the global availability of the co-branded EMILIE system.

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Notably, Fund IV is entirely privately backed, with no government or institutional funding, which is unusual for a European fund of this size. The firm secured far more than its €50 million target from investors within weeks. It also noted that it deliberately chose to keep the fund at €60 million and declined additional commitments from existing backers to keep its portfolio small and its support hands-on.  

“We could’ve raised more. Plenty of LPs were ready. But a bigger fund would’ve pulled us in the wrong direction. The whole point of Co-founder Capital is staying close to the founders we back and rolling up our sleeves with them. You can’t do that across fifty companies. So we keep the number small and go all in on each one,” said Wim Derkinderen, Managing Partner, Pitchdrive. 

Pitchdrive was founded in 2020 by Wim Derkinderen, Lorenz Bogaert, Toon Coppens, Boris Bogaert, Jonas Dhaenens, Koen Christiaens, Luc Verelst and Bart Swanson. It is chaired by Dhaenens, founder of the European unicorn team.blue. 

Pitchdrive backs pre-Seed and Seed founders from day one and invests €250K–€3 million tickets across Europe, with offices in Antwerp, Ghent, Amsterdam, Berlin, Barcelona, London and New York.

It has invested in 70 startups across Europe, with Funds I, II and III placing the firm in the top 10% of venture funds globally. In 2024, Pitchdrive announced the raise of its third fund of €40 million to invest in early-stage startups in Europe.

Its portfolio includes companies like Henchman (acquired by LexisNexis), Introw, Heltia, Happl, Axe, Ravical, Conveo, Foodamigos and Gro. Its active scout network feeds the firm more than 500 pitch decks per month, of which only a small fraction are backed by design. 

The firm states that Fund IV will invest in 25–30 early-stage startups in Europe and beyond. “The thesis runs through a single filter: does this company have a reason to exist in the AI era, and does it operate like an AI-native company? The product itself doesn’t have to be AI, but the business has to be a product of this moment, either because AI enables a category that couldn’t exist before or because it fundamentally changes the economics of an existing one,” Pitchdrive mentioned in the press release. 

It highlights that operating AI-native enables small teams to scale more quickly, with infrastructure taking the place of headcount as the primary driver of growth, and founders who prefer building with AI from the start rather than adding it later.

The focus areas of Fund IV include AI-native products (vertical AI, developer infrastructure, agent platforms), AI-enabled categories (consumer, commerce, content and marketplaces where AI unlocks new unit economics), and software-defined physical companies (hardware, robotics and mobility, where AI sits in the design or operations).

Pitchdrive asserts that it will pass on pure model labs, “AI for X” wrappers without a defensible data or operator angle, and businesses whose AI story is bolted on for fundraising rather than core.

“When we built team.blue, the kind of investor I wished I’d had on day one didn’t exist in Europe. That’s what Pitchdrive is: a firm run by people who’ve already been in the founder’s seat. Fund IV doubles down on the model: stay small, stay close, stay disciplined,” said Jonas Dhaenens, Chairman, Pitchdrive

The firm has also announced its first US deal, investing in New York–based compliance AI startup Zerodrift in a €8.6 million ($10 million) pre-Seed round. The company was founded by serial entrepreneur Kumesh Aroomoogan, and the round was participated in by some of the largest US venture funds.

The post Antwerp-based Pitchdrive closes €60 million Fund IV to back AI-native early-stage startups appeared first on EU-Startups.

Investors backing the business include Baillie Gifford, Cox Enterprises, Durable Capital Partners, Fidelity, Endeavor Catalyst and actor Ryan Reynolds. Reuters reported that the listing could value Bending Spoons at around €17 billion ($20 billion), although the company has not confirmed a target valuation.

“We see a vast opportunity ahead. We’ve identified more than 1,000 digital businesses (both private and public) that could be attractive acquisition targets in the future,” Bending Spoons CEO Luca Ferrari wrote in a letter attached to the IPO prospectus.

The IPO filing comes after a period of rapid growth for the Italian company. During 2025, EU-Startups saw Bending Spoons …

• Raise over €500 million
• Acquire Vimeo in €1.1 billion cash deal 
• Acquire Eventbrite in €430 million all-cash deal

Founded in 2013 by CEO Luca Ferrari alongside co-founders Matteo Danieli, Francesco Patarnello and Luca Querella, the company has evolved from a mobile app developer into a major consolidator of digital businesses, building a portfolio that spans some of the internet’s best-known consumer and software brands.

Unlike many European startups that focus on developing a single flagship product, Bending Spoons has built its business around acquiring established digital companies and attempting to improve their performance through operational changes, subscription-based monetisation and technology-driven efficiencies.

Over the past several years, the company has completed more than 50 acquisitions, including notable brands such as Eventbrite, Vimeo, WeTransfer, Evernote, Komoot, AOL, Brightcove and StreamYard.

According to its filing with the U.S. Securities and Exchange Commission (SEC), Bending Spoons generated. €1.13 billion ($1.31 billion) in revenue during 2025, representing substantial growth compared to previous years.

The company reported revenue of €520 million ($601 million) during the first quarter of 2026, an increase of more than 130% compared to the same period a year earlier. Net profit for the quarter reached approximately €23.8 million ($27.5 million), reversing a loss recorded in the corresponding period of 2025.

Subscription revenue continues to underpin the business model. The company disclosed that recurring subscriptions accounted for the overwhelming majority of its revenue, highlighting the growing importance of recurring income streams across digital services and software businesses.

Bending Spoons also reported serving more than 500 million monthly active users across its portfolio in March 2026, including more than 9 million paying customers.

Rather than focusing solely on organic expansion, Bending Spoons typically acquires companies that it believes are underperforming or facing operational challenges. It then implements restructuring measures, introduces new pricing strategies and seeks to improve profitability.

While this approach has delivered strong financial growth, it has also generated debate due to the substantial workforce reductions that have often followed acquisitions.

The company’s prospectus also highlights the growing role of AI within its operations. Bending Spoons stated that AI tools are increasingly being used across software development, customer support, hiring and analytics functions.

The business claims that a large proportion of software code changes are now generated or supported by AI systems, reflecting a broader trend among technology companies seeking productivity gains through automation.

Should the offering proceed as expected, Bending Spoons would become one of the most prominent European technology companies to list in the United States in recent years.

For the broader European startup ecosystem, the listing could serve as another indicator that companies founded on the continent are increasingly capable of reaching global scale.

Whether Bending Spoons can continue its rapid expansion while operating under the scrutiny of public markets remains to be seen, but its Nasdaq ambitions mark another notable chapter in the rise of one of Europe’s most unconventional technology success stories.

The post Milan-based Bending Spoons files for Nasdaq IPO – is Europe losing another tech contender? appeared first on EU-Startups.

More than 94% of students are now using AI to help them prepare for assessments, according to the 2026 HEPI student generative AI survey, which means they want study tools to do more than store content. They want help understanding key ideas, reviewing faster, and checking what they know.

That matters because students do not just need access to content. They need help making sense of it. Notes, slides, readings, and recordings often sit across different formats, with key ideas buried inside long documents or fast-moving lectures. Studocu AI uses NLP and AI to solve four common study problems: information overload, confusing terminology, passive revision, and hard-to-review lectures.

What does NLP mean in this context?

Natural Language Processing, or NLP, helps computers work with language in a more useful way. Instead of only matching exact words, it looks at meaning and context.

That matters in education because the same word can mean different things in different subjects. A term like “derivative” means one thing in calculus and another in finance. NLP helps a system use the surrounding text to understand which meaning fits. In study tools, this makes results more relevant and explanations more useful.

How does Studocu help students handle too much information?

Students are often asked to read more than they can fully absorb in one sitting. Long readings can feel overwhelming, especially when they are dense, technical, or full of detail.

Studocu’s AI Notes feature helps by turning long documents into shorter, clearer notes. Instead of pulling random lines, it works across the full text to identify the main ideas and how they connect.

The result is a structured summary that is easier to review. Students can see the key concepts, people, events, or arguments first, then go deeper where needed. That helps them start with a clearer overview and use study time better.

How does Studocu explain difficult terms in the right context?

Many academic terms are hard because their meaning changes by subject. When students look them up on a general website, they may get an answer that does not match their course.

Studocu’s Study Assistant works inside the material a student is already reading. When a student highlights a section and asks for help, the tool uses the surrounding content to understand the topic and context.

That makes the explanation more relevant to the page in front of the student. It also helps students stay focused. They do not need to switch tabs, search elsewhere, or sort through definitions that do not fit the class.

How does Studocu turn passive review into active practice?

Rereading notes can feel productive, but it does not always show what a student actually remembers. Practice works better because it forces recall, which helps students spot gaps in understanding.

Studocu helps by turning study materials into quizzes and mock exams. It reads the source content, pulls out key ideas and facts, and uses them to build questions students can answer on their own.

This gives students a faster way to move from passive review to active practice. Instead of reading the same PDF again, they can test themselves, find weak areas, and go back to the right material.

How does Lecture Recording make spoken content easier to study?

A lot of important learning happens in live lectures, where students have to listen, think, and take notes at the same time. That makes it easy to miss useful details.

Studocu’s Lecture Recording feature helps capture that spoken content and turn it into something easier to review. It converts lecture audio into text, cleans up the transcript, and helps organise the material into clearer notes. Students can also upload an existing recording.

That gives them a more searchable and structured version of what was said in class. It also helps them stay present during the lecture, knowing they can come back later to review the material in a more usable format.

Why does the academic library make these AI tools more useful?

These features depend on more than strong models. They also depend on having relevant academic material to work with.

Studocu’s AI works with a large library of student-shared study materials organized by university, course, and subject. That gives the system more academic context than a general tool pulling from broad web content.

This matters because better context leads to more relevant output. If a student works from a course-linked anatomy guide, for example, the notes, explanations, and practice questions are more likely to feel connected to what they are actually studying.

Why does this approach matter for students?

The value of AI in education is not just speed. It is whether the tool helps students do real study tasks with less friction.

On Studocu, that looks practical. Long files become clearer notes. Difficult terms get explained in context. Static documents turn into quizzes. Lectures become searchable study material.

That is what makes the experience feel useful at scale. Students spend less time sorting through content and more time understanding it, reviewing it, and preparing with confidence.

Frequently Asked Questions

Q: How does AI help when a student does not know what part of the material is important yet?

A: AI can help surface the main ideas first, which gives students a clearer starting point. That is especially useful when a reading feels dense or unfamiliar.

Q: Can NLP still be useful if the study materials are poorly organised?

A: Yes, one of its main strengths is helping make sense of scattered or messy content by identifying patterns, topics, and relationships across the material.

Q: Why is this kind of AI more useful in education than a standard document search tool?

A: A search tool helps students find words. AI and NLP can go further by helping them understand what those words mean in context and why they matter.

Q: What makes study support feel faster without feeling rushed?

A: The goal is not just speed. It is reducing low-value effort, like sorting files or rewriting notes, so students can spend more time actually learning.

Q: How does AI support students who study in short bursts instead of long sessions?

A: Clear notes, quick explanations, and ready-made practice questions make it easier to study in smaller windows of time without losing momentum.

The post How Studocu uses NLP and AI to solve learning challenges at scale (Sponsored) appeared first on EU-Startups.

The round was led by Voyager Ventures, with leading angel investors including David Kirk (former Chief Scientist at NVIDIA), Lawrence Leuschner (co-founder and former CEO of TIER Mobility), and the family office Custos participating in the round. The round also received continued backing from Atlantic.vc, Lifeline Ventures, LGF and Illusian.

Anatolii Papulov, CEO and co-founder of NewOrbit, said, “For sixty years, VLEO has been treated as too hostile an environment for commercial satellites — but it is in fact the most valuable empty real estate in space. Today, no one in the industry has a reliable, affordable and fast way to fly payloads in very-low Earth orbit. We built our NEO-1 satellite to do exactly that.”

Founded in May 2021, NewOrbit builds satellites for very low Earth orbit (VLEO), a band of near-Earth space at 200–300km historically reserved for spy satellites and the International Space Station. Its mission is to engineer Earth’s lowest orbiting satellite to advance global connectivity and insight. 

The team building NewOrbit includes senior engineers from SpaceX, NASA, Tesla and Airbus. Its advisory board comprises senior figures from the global space industry, such as Jean-Jacques Dordain, Director General of the European Space Agency (2003-2015), and Sir Chris Deverell, former Commander of UK Joint Forces.

According to the company, three forces have rendered VLEO commercially unviable since the dawn of the space age: aerodynamic drag, which pulls spacecraft back to Earth within weeks; atomic oxygen, which corrodes their surfaces; and aerodynamic torques, which destabilise their orientation. 

NewOrbit claims that it has built purpose-engineered satellites, equipped with the company’s in-house propulsion system, to withstand these conditions and operate reliably in VLEO for up to five years.

VLEO’s commercial logic is simple: flying lower improves visibility and connectivity, all at significantly reduced costs. From 200–300 km, NewOrbit states that it will be able to offer the highest-quality satellite imagery available today, at 20x lower cost than conventional satellites, alongside faster data speeds. 

The UK startup believes these advantages could unlock new space economy paradigms, like 5G direct-to-device from space and live HD video, which aren’t possible with current orbital geometry.

Matthew Blain, Partner at Voyager Ventures, said, “VLEO is the next foundational shift in the global space industry. The technology will unlock order of magnitude improvements in earth observation at a fraction of the cost today. We’re proud to partner with NewOrbit on their journey to become the leading provider of commercial VLEO satellites globally.”

With this fresh funding, the company plans to build NewOrbit’s NEO Production Complex, scheduled to open in 2027. The facility will incorporate the company’s first commercial satellite for launch in 2028. This launch will mark the first time commercial customer payloads have been flown at altitudes between 200-300 km 

It will then expand from an initial capacity of ten satellites annually to several per week at full operation, creating the manufacturing foundation necessary to scale up VLEO commercialisation.  At full operation, the company claims that this complex will be Europe’s largest dedicated VLEO production facility and a strategic industrial asset within the continent’s sovereign space ecosystem.

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