EUVC

The home of European tech. Connecting the people, capital and companies building Europe. EUVC features conversations with the founders, investors, operators and policymakers shaping the continent's future. We explore venture capital, startups, AI, deeptech, defense, industrial policy, entrepreneurship and the ideas driving European competitiveness. From emerging managers and unicorn founders to institutional investors and government leaders, EUVC documents the people building Europe's next chapter.

  1. -15 h

    This Week in European Tech: What should founders expect from their VCs?

    What does a genuinely useful VC relationship look like, and how much should operating experience matter when investors are advising founders? In this episode of This Week in European Tech, Dan Bowyer and Mads Jensen of SuperSeed discuss what separates strong VC partnerships from weaker ones, why venture outcomes naturally follow power laws and what founders should realistically expect from the investors around their table. They also look at the UK Budget and whether it goes far enough for founders, the wider economic pressures facing younger people and what could encourage more people to build companies. The conversation then turns to AI, including Anthropic’s planned IPO, where inference may happen in the future and the growing question of whether companies can trust the models and agents operating inside their businesses. Dan and Mads also discuss technological sovereignty, the case for stronger European AI infrastructure and what Europe should prioritise rather than trying to recreate every layer of the technology stack. Highlights What founders should expect from a strong VC partnership How much operating experience matters for investors Why venture capital produces power-law outcomes What the UK Budget means for founders Why entrepreneurship may have an energy problem as well as a policy problem What Anthropic’s planned IPO could tell us about the AI market Why more AI inference could move onto personal devices The security risks created by AI agents at scale Whether European companies can trust foreign AI models Where Europe should focus its technology sovereignty efforts

    This Week in European Tech: What should founders expect from their VCs?
  2. -2 dias

    Andreas Cleve (Corti): Why constraints can be an advantage in vertical AI

    In vertical AI, choosing a narrower market can look like giving up scale, but for Corti it created the focus needed to go much deeper into healthcare and build around the accuracy, compliance and real-world complexity that clinical environments demand. Andreas Cleve, Co-Founder and CEO of Corti, joins us to explain the thinking behind that choice and what it has meant in practice. Andreas describes healthcare not as one market but as many highly specialised ones, each with its own workflows, terminology and requirements. That depth means bigger general-purpose models alone are not enough. Corti has instead had to build further down the stack and take greater control over the technology and infrastructure required to get AI into production. The trade-off becomes especially clear around accuracy. AI can perform well in a demo and still fall short in a clinical environment, where one incorrect word or detail can change the meaning entirely. Andreas explains why clinical-grade performance depends on much more than training better models, from working closely with users to adapting to individual specialties and solving the last-mile problems that appear when technology meets real workflows. The conversation also explores why Corti brought compliance in-house rather than treating regulation as something to outsource. For founders building in healthcare, legal, financial services or other high-stakes domains, the broader question is how to decide which constraints to accept, which capabilities to own and where going deeper can create an advantage that broader competitors struggle to replicate. Highlights Why Corti chose vertical AI over a broader horizontal approachWhat founders give up when they deliberately narrow their marketWhy bigger models do not automatically solve regulated-domain problemsWhy 90% accuracy can still fall far short in clinical environmentsHow specialisation pushes vertical AI companies deeper into the stackWhy getting AI into production requires more than model performanceWhy Corti built its compliance capability in-houseHow founders can think differently about regulation and other high-stakes constraints Timestamps (00:00) Intro(01:45) What Corti is building(03:45) Why healthcare needs specialised AI(05:45) Why bigger models do not solve healthcare(07:40) Healthcare is not one market(09:50) The trade-offs of going vertical(11:50) Funding a capital-intensive AI company from Europe(13:15) Why Corti is doubling down on Copenhagen(16:45) Copenhagen’s talent problem(19:30) Why 90% accuracy is not enough in healthcare(23:00) Solving the last mile of healthcare AI(25:45) Where AI adoption is happening fastest in healthcare(31:20) Why regulation is not the enemy(34:40) How founders should approach compliance(37:40) What founders should understand about venture funding(42:30) Why European VCs need a GPU strategy(46:40) Europe’s growth funding gap(48:00) When should European founders move to the US?

    Andreas Cleve (Corti): Why constraints can be an advantage in vertical AI
  3. 22/10

    Summit | Oliver Vince (Basecamp Research) & Lorenzo Cerchi (Singular): Rewriting the map of life

    AI has transformed what is possible in language, but biology remains a much harder frontier. Oliver Vince, Co-Founder at Basecamp Research, believes one of the biggest constraints is that we still understand only a fraction of life on Earth, leaving AI models with a fundamentally incomplete picture of biology. Speaking at EUVC Summit 2026, Oliver joins Lorenzo Cerchi, Venture Capital Investor at Singular, a backer of Basecamp Research, to discuss how new biological datasets and frontier AI models could change therapeutic design, and why Europe may have an edge where AI meets deep scientific expertise. Oliver explains how Basecamp Research approaches the data problem in biology, how scaling laws could translate into better models and how those models might eventually help move from disease biology towards new medicines. The conversation also looks at the gap between European and US attitudes to risk, what it takes to finance highly ambitious deep-tech companies and why scientific talent needs room to pursue outcomes that may be uncertain but potentially enormous. They close on the longer-term possibility that AI could help tackle diseases that remain difficult or impossible to treat today, and why Oliver believes that potential is too significant to remain confined to the lab. Highlights Why biology is still a major data problemHow AI scaling laws could apply to therapeutic designWhere Europe has an advantage in AI and deep techWhy ambitious deep tech needs a different attitude to riskTurning scientific talent into breakthrough companiesThe path from disease biology to new medicinesWhy “prompt to cure” could become possible Timestamps (00:00) Intro(01:10) Why biology has an AI data problem(03:20) Where Europe can win in AI(05:05) The challenge of scaling deep tech in Europe(07:10) Why ambitious venture needs a different risk mindset(09:15) Europe’s scientific talent advantage(11:05) From disease biology to generating medicines(12:35) Playing for diseases we cannot treat today(13:05) Why “prompt to cure” may be possible

    Summit | Oliver Vince (Basecamp Research) & Lorenzo Cerchi (Singular): Rewriting the map of life
  4. 20/10

    Summit | Jan Goetz (IQM Quantum Computers): Building a quantum unicorn from Europe

    Quantum computing is not simply about making today’s computers faster. For Jan Goetz, CEO & Co-Founder at IQM Quantum Computers, the opportunity lies in solving problems that conventional computing architectures may never handle efficiently enough. Speaking at EUVC Summit 2026, Jan explains how IQM grew from university research into a full-stack quantum company building its own chips, systems, manufacturing capacity and cloud infrastructure. He reflects on the practical realities of building deep tech, including operating an early quantum computer from an office with improvised cooling, raising significant capital for hardware and scaling a company before much of the surrounding infrastructure exists. The session also explores Europe’s position in quantum, why hardware is becoming a critical bottleneck and how IQM is trying to scale globally while remaining headquartered in Finland. Highlights Why conventional computing is approaching physical limitsWhy quantum requires a different computing modelTurning university research into a deep-tech companyBuilding hardware before the infrastructure existsWhy hardware matters as much in quantum as it does in AIEurope’s current position in quantum computingScaling a capital-intensive company from EuropeAccessing global capital without leaving Europe Timestamps (00:00) Intro(01:05) Why some problems need a different kind of computer(03:05) Why bigger data centres are reaching their limits(04:05) How quantum computing scales differently(05:00) The energy problem behind AI compute(06:05) Building a full-stack quantum computer(07:20) From university research to building IQM(09:15) Building a quantum computer in an office(12:15) Europe’s position in quantum computing(13:25) Why hardware is becoming the bottleneck(14:05) Raising capital and planning a dual listing

    Summit | Jan Goetz (IQM Quantum Computers): Building a quantum unicorn from Europe
  5. 19/10

    Edouard Gouin (Convelio): Building through the hardest years to reach profitability

    Convelio’s most difficult period forced some of its most consequential decisions. After the art market contracted sharply, the company reduced its team, changed its business model and shifted its focus from top-line growth towards profitability. Host Andreas Munk Holm speaks with Edouard Gouin, CEO and Co-Founder of Convelio, about navigating that period and the decisions that ultimately helped the company reach its first fully profitable quarter. Edouard discusses the cost of delaying layoffs, bringing investors behind a new strategy, rebuilding trust and moving from a largely asset-light model towards physical operations, storage and software. He also shares the thinking behind the 65-page leadership manual he wrote during this period, the principles it codified around hiring, management and honest feedback and how Convelio is using AI to automate operational work. Highlights Moving from growth towards profitabilityMaking difficult decisions before circumstances force themAligning investors around a new strategyRebuilding trust after layoffsMoving beyond a purely asset-light modelWriting a 65-page leadership manualHiring for strengths and giving honest feedbackUsing AI to automate operational workReaching Convelio’s first fully profitable quarterTimestamps (00:00) Intro(02:00) How Convelio started(08:00) Copycats and the art market downturn(14:00) Looking inward and shifting to profitability(17:00) Layoffs and the cost of delaying difficult decisions(21:00) Aligning investors and the board(28:00) Rebuilding trust after layoffs(31:00) From asset-light to physical operations, storage and software(39:00) Writing a 65-page leadership manual(42:00) Hiring for strengths(45:00) Mistakes, sloppiness and honest feedback(53:00) Using AI to transform operations(1:01:00) Hard decisions, easy life and reaching profitability

    Edouard Gouin (Convelio): Building through the hardest years to reach profitability
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The home of European tech. Connecting the people, capital and companies building Europe. EUVC features conversations with the founders, investors, operators and policymakers shaping the continent's future. We explore venture capital, startups, AI, deeptech, defense, industrial policy, entrepreneurship and the ideas driving European competitiveness. From emerging managers and unicorn founders to institutional investors and government leaders, EUVC documents the people building Europe's next chapter.

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