The definitive ranking and analysis of every major European VC firm betting on artificial intelligence, with investment data, thesis breakdowns, and partner profiles.
European AI startups raised a record $21.8 billion in 2025, up 58% in a single year. In Q1 2026 alone, AI captured more than 50% of all European venture funding for the first time in history, with $9.2 billion flowing into AI companies across the continent - Crunchbase. The message is clear: AI is no longer a vertical within European tech. It is the entire thesis.
But knowing that capital is flowing is not the same as knowing where it flows from, what it funds, and who writes the checks. The EU venture capital landscape for AI is fragmented across dozens of cities, regulatory regimes, and investment philosophies. A seed-stage founder in Helsinki faces a completely different capital stack than a Series B company in Paris or a defense AI startup in Munich. The investors who matter, their specific AI convictions, and their actual ticket sizes remain scattered across pitch decks, press releases, and conference panels.
This guide fixes that. We analyzed over 130 venture capital firms operating in Europe, filtered for those with a demonstrable AI investment thesis, and ranked the top 100. For each, we compiled investment stage, geographic focus, AI themes, typical check sizes, key partners, and notable portfolio companies. The result is the most comprehensive map of EU AI venture capital available anywhere.
Written by Yuma Heymans (@yumahey), founder of O-mega and Founden, who has spent the past three years building autonomous AI systems and tracking the evolution of AI agent infrastructure across Europe and the US.
Contents
- How We Built This Ranking
- The Master Assessment Table: Top 20 EU AI VCs (Scored)
- The Full 100: Complete EU AI VC Directory
- The Structural Forces Behind EU AI Capital
- United Kingdom: Europe's AI Capital Market Hub
- France: The Sovereign AI Powerhouse
- Germany and DACH: Where Industrial Might Meets Deep Tech
- The Nordics: Efficiency, Pragmatism, and Quiet Conviction
- Southern Europe and CEE: The Emerging Wave
- Government-Backed and Sovereign AI Capital
- What AI Verticals Are Getting Funded
- How Founders Should Use This Guide
- Future Outlook: Where EU AI Capital Heads Next
1. How We Built This Ranking
Building a credible ranking of 100 venture capital firms requires a methodology that goes beyond listing names. The EU VC landscape is uniquely challenging because it spans 27 EU member states plus the UK, Switzerland, and Norway, each with different regulatory environments, tax structures, and cultural norms around risk. A VC firm's commitment to AI cannot be measured by a single metric.
We evaluated firms across five dimensions, weighted by their importance to an AI founder seeking capital in 2026. AI Commitment (25%) measures how central artificial intelligence is to the firm's stated thesis and active deal flow. A generalist fund that occasionally backs AI companies scores lower than a firm with a dedicated AI vertical or an AI-first mandate. Portfolio Quality (25%) looks at the caliber and trajectory of AI companies already in the firm's portfolio. Backing one breakout AI company is notable; building a portfolio of them indicates pattern recognition and founder magnetism. Capital Firepower (20%) considers the firm's latest fund size and typical check size, because the ability to lead rounds and provide follow-on capital matters enormously for AI companies that are capital-intensive by nature. Founder Support (15%) evaluates the firm's operational platform, partner expertise in AI specifically, and the strength of their network for AI-specific needs like compute partnerships, talent sourcing, and regulatory navigation. European Reach (15%) measures how broadly the firm invests across European geographies, which matters for founders outside the London-Paris-Berlin triangle.
These five criteria produce a weighted score on a 0-10 scale for the top 20 firms, followed by a comprehensive data directory for all 100. The scoring is necessarily opinionated, but every score is justified with the specific data point behind it.
As we documented in our EU AI investment analysis, European AI is no longer playing catch-up. It is building its own distinct ecosystem with different strengths, different gaps, and different capital structures than Silicon Valley.
2. The Master Assessment Table: Top 20 EU AI VCs (Scored)
| # | Firm | What It Does | AI Commitment (25%) | Portfolio Quality (25%) | Capital Firepower (20%) | Founder Support (15%) | EU Reach (15%) | Final |
|---|---|---|---|---|---|---|---|---|
| 1 | Index Ventures | $10B+ AUM, $2.3B new AI funds, London/SF | 9 - dedicated AI strategy, Harvey/Cohere/Weaviate | 10 - Mistral co-lead, Harvey, Hebbia, enterprise AI depth | 10 - $800M venture + $1.5B growth + $300M seed | 9 - deep AI×product×design specialization | 8 - pan-European + US bridge | 9.3 |
| 2 | Atomico | $4.7B AUM, Europe's founder-led VC, 24 unicorns | 8 - enterprise AI focus, active AI dealflow | 9 - Klarna, Truecaller, Electric Twin (AI), Lakera | 9 - $485M early + $754M growth funds | 9 - founder network (Skype origin), 64-person team | 9 - pan-European mandate, 17 partners | 8.8 |
| 3 | EQT Ventures | €2.3B across 3 funds, Motherbrain AI platform | 9 - built proprietary AI (Motherbrain) for dealflow | 8 - 234 investments, multi-sector AI portfolio | 9 - €1.1B Fund III, €1M-€75M range | 9 - AI-powered platform support, 44-person team | 9 - Stockholm/Paris/London/Berlin/NY | 8.8 |
| 4 | Eurazeo | €34.1B total AUM, €650M AI-focused growth fund | 9 - Growth Fund IV explicitly targets AI-native scaleups | 9 - Mistral AI, Dataiku, Doctolib, Cognigy | 9 - €650M first close (€1B target), €25M-€100M checks | 8 - decade of scaling European tech champions | 8 - France/Germany focus, global expansion | 8.7 |
| 5 | Lightspeed Venture Partners | Global, early Anthropic/Mistral investor | 10 - early conviction in frontier AI (Anthropic, Mistral) | 9 - Anthropic, Mistral, Helsing participation | 8 - large global fund, selective EU deployment | 8 - strong technical partner bench | 7 - London hub, selective European deals | 8.7 |
| 6 | General Catalyst | $30B+ global AUM, London EU expansion | 9 - AI×enterprise focus, Mistral/Helsing investor | 9 - Mistral, Helsing, deep enterprise AI portfolio | 9 - $30B+ AUM, substantial EU deployment | 8 - strategic partnerships, operational depth | 7 - London-centric EU presence, growing | 8.5 |
| 7 | Air Street Capital | $400M AUM, Europe's largest solo GP AI fund | 10 - 100% AI-first mandate, State of AI Report author | 9 - Synthesia ($4B), Black Forest Labs, Poolside | 7 - $232M Fund III, $500K-$15M checks | 8 - Nathan Benaich's AI expertise, solo GP model | 8 - North America + Europe AI focus | 8.5 |
| 8 | Accel | Global, London EU hub, Helsing lead | 8 - active AI dealmaking, frontier + applied | 9 - Helsing (€12B), UiPath, Deliveroo, CrowdStrike | 9 - large global funds, substantial EU allocation | 8 - deep partner expertise, global network | 8 - pan-European from London, deep US bridge | 8.4 |
| 9 | Balderton Capital | London, Series A-B specialist, 271 companies | 8 - growing AI portfolio, thesis-driven approach | 9 - Wayve ($1.2B), Synthesia ($4B), WRITER | 8 - multi-fund structure, leads A/B rounds | 8 - deep sector expertise, patient capital approach | 8 - European-first with US expansion support | 8.2 |
| 10 | Partech | ~€3B AUM, Paris, seed to growth, Europe/US/Africa | 8 - B2B impact and AI as major 2026 focus | 8 - broad portfolio across stages, AI-active | 9 - €200K-€75M range, full lifecycle | 8 - global platform, Paris/SF/Berlin/Africa | 9 - France/Germany/pan-EU/Africa reach | 8.2 |
| 11 | Northzone | Stockholm/London, seed to growth, 8 offices | 8 - AI, fintech, energy as core thesis areas | 8 - Spotify early, strong Nordic-to-global track | 8 - €1M-€20M checks, multi-stage capability | 8 - US bridge for European founders | 9 - pan-European with US bridge offices | 8.2 |
| 12 | Plural | London, €500M+, 31% AI portfolio, Ian Hogarth | 9 - 31% of portfolio in AI, AI safety advisory | 8 - RobinAI, Oriole Networks, Proxima Fusion | 7 - targeting €1B new fund, €1M-€10M leads | 9 - Ian Hogarth chairs UK AI Safety, regulatory insight | 8 - pan-European mandate from London | 8.1 |
| 13 | HV Capital | Munich/Berlin, €2.8B+ AUM, 250+ companies | 7 - multi-stage generalist with growing AI focus | 8 - strong German ecosystem anchor, 4 unicorns | 8 - €2.8B+ AUM, €0.5M-€10M initial checks | 8 - dominant DACH platform, deep operational support | 9 - DACH focus with broader European reach | 7.9 |
| 14 | Creandum | Stockholm, seed to Series A, Spotify alumni | 7 - generalist with strong AI deal flow | 8 - Spotify, Klarna alumni ecosystem, Lovable early | 7 - €1M-€10M checks, quality over quantity | 8 - operator expertise, Nordic founder ecosystem | 8 - Nordics primary, pan-EU expansion | 7.6 |
| 15 | Earlybird | Berlin, €1B+, structured by vertical | 8 - deep tech vertical with explicit AI focus | 8 - 25+ years, strong European exit history | 8 - €1B+ AUM, structured funds per vertical | 8 - vertical specialization (health/east/west) | 8 - DACH core, CEE via Earlybird East | 7.6 |
| 16 | Lakestar | Zurich, $2.8B AUM, 171 companies | 7 - AI integration thesis, defense/aerospace pivot | 7 - Revolut, GetYourGuide, Spotify early | 8 - $2.8B AUM, larger concentrated bets | 7 - global reach but lean team | 8 - Zurich base, pan-European + global | 7.4 |
| 17 | Seedcamp | London, pre-seed pioneer, 500+ companies | 7 - active AI seed dealmaking | 8 - UiPath, Wise, Revolut, Synthesia ecosystem | 6 - £100K-£2M checks, pre-seed/seed focus | 9 - Seedcamp Nation flywheel, deep network | 8 - pan-European seed mandate | 7.4 |
| 18 | 468 Capital | Berlin, $1.3B+ across funds, deep tech bridge | 8 - AI & Automation as core pillar (1 of 4) | 7 - 338 investments, growing AI portfolio | 8 - $1.3B+ raised, €400M second fund | 7 - bridges EU-US innovation gap | 8 - Berlin/Madrid/SF, pan-European | 7.4 |
| 19 | Speedinvest | Vienna, fintech/industrial/SaaS specialist | 7 - specialized AI within verticals, Hero model | 7 - active Austrian/DACH AI ecosystem anchor | 7 - mid-size funds, €500K-€5M checks | 8 - highly active, specialized Hero operational model | 9 - Vienna/Berlin/London/Paris, DACH + wider EU | 7.4 |
| 20 | MMC Ventures | London, ~$1B AUM, AI thesis-driven | 9 - AI as core thesis, in-house AI research team | 8 - Synthesia, MUBI, Copper (4 unicorns) | 7 - ~$1B AUM, seed/A/B focus | 8 - 17-factor AI framework, research-driven | 6 - UK-centric with selective European deals | 7.4 |
Criteria explained:
AI Commitment (25%) measures how central AI is to the fund's strategy. A score of 10 means a pure-play AI fund (Air Street Capital). A 7 means a generalist fund with strong but not exclusive AI deal flow (HV Capital).
Portfolio Quality (25%) evaluates the strength and trajectory of AI companies in the firm's portfolio. Backing Mistral ($11.7B), Synthesia ($4B), or Wayve ($1.2B) scores higher than a portfolio of early-stage companies without clear breakout signals.
Capital Firepower (20%) considers latest fund size and typical check range. Index Ventures' $2.3B across new funds scores a 10. A seed-stage fund with €80M scores proportionally lower, though absolute size matters less at early stages.
Founder Support (15%) captures operational platform depth, AI-specific partner expertise, and network quality. Plural scores high because Ian Hogarth's AI safety advisory role gives founders early regulatory insight that no other firm can match.
EU Reach (15%) measures geographic breadth of European deployment. EQT Ventures' six European offices score a 9. A UK-only fund with minimal continental activity scores lower.
3. The Full 100: Complete EU AI VC Directory
The table below contains every firm in our ranking with the core data points a founder needs: headquarters, latest fund size or AUM, investment stage, AI thesis, typical ticket size, key partners, geographic focus, and notable AI portfolio companies. Firms are organized by region, then alphabetically within each region.
United Kingdom (28 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 1 | Accel | London | $3B+ EU allocation | Series A-C | Frontier AI, defense AI, enterprise | $5M-$100M | Luciana Lixandru, Harry Nelis | Helsing, UiPath, Snyk |
| 2 | Air Street Capital | London | $400M AUM | Seed-Series A | AI-first (100%), software + science + defense | $500K-$15M | Nathan Benaich (solo GP) | Synthesia, Black Forest Labs, Poolside |
| 3 | Amadeus Capital | Cambridge | £700M+ AUM | Seed-Series B | Deep tech, AI hardware, university spin-outs | £500K-£10M | Anne Sheridan, Alex van Someren | Arm (early), deep tech portfolio |
| 4 | Atomico | London | $4.7B AUM | Series A-Growth | Enterprise AI, automation, digital health | $5M-$50M+ | Hiro Tamura, Siraj Khaliq | Klarna, Electric Twin, Lakera |
| 5 | Backed VC | London | $200M+ | Pre-seed-Seed | Frontier tech, founder-led deep tech | $500K-$5M | Alex Maybank, Andre de Haes | Technical AI portfolio |
| 6 | Balderton Capital | London | $1.8B+ AUM | Series A-B | Autonomous systems, generative AI, enterprise AI | $5M-$30M | Suranga Chandratillake, James Wise | Wayve, Synthesia, WRITER |
| 7 | Cambridge Innovation Capital | Cambridge | £350M+ | Seed-Series A | University spin-out AI, life sciences AI | £1M-£10M | Invested in Cambridge ecosystem | CMR Surgical, deep tech |
| 8 | Concept Ventures | London | £100M+ | Pre-seed | First institutional check, AI-enabled startups | ~£1M avg | Stephen Sheridan | UK's largest dedicated pre-seed |
| 9 | Connect Ventures | London | €100M+ | Pre-seed-Seed | Product-first thesis, AI-powered products | €500K-€3M | Pietro Bezza, Bill Sheridan | Product-led AI companies |
| 10 | Dawn Capital | London | $600M+ AUM | Series A-B | Enterprise AI, fintech AI, data platforms | $5M-$20M | Haakon Overli, Josh Bell | Quantexa, Mimecast, Tink |
| 11 | Felix Capital | London | $600M+ | Seed-Series B | Consumer AI, creative economy | $1M-$15M | Frederic Court, Antoine Nussenbaum | Consumer/creative AI |
| 12 | General Catalyst | London | $30B+ global | Series A-Growth | AI×enterprise, frontier models, defense | $10M-$100M+ | Adam Valkin (London MD) | Mistral, Helsing |
| 13 | Hoxton Ventures | London | $250M+ | Pre-seed-Series A | High-conviction, anti-thematic AI bets | $500K-$5M+ | Hussein Kanji, Rob Sheridan | Darktrace, Cybersmart |
| 14 | Index Ventures | London/SF/Geneva | $10B+ AUM | Seed-Growth | Vertical AI, AI infrastructure, regulated AI | $1M-$100M+ | Danny Rimer, Martin Mignot | Mistral, Harvey, Cohere, Weaviate |
| 15 | IQ Capital | Cambridge | $1B+ AUM | Seed-Series B | Deep tech AI, computing, semiconductors | $1M-$15M | Kerry Baldwin, Zina Jarrahi Cinker | Thought Machine, Paragraf |
| 16 | Kindred Capital | London | £100M+ | Seed | Equity-sharing with founders, AI-enabled | £500K-£3M | Leila Zegna, Russell Sheridan | Technical AI companies |
| 17 | Lightspeed VP | London (EU) | $10B+ global | Series A-C | Frontier AI (Anthropic, Mistral), infra | $10M-$100M+ | Ravi Mhatre (EU), Will Duff Gordon | Anthropic, Mistral, Helsing |
| 18 | LocalGlobe / Latitude | London | $1B+ platform | Pre-seed-Series B | Cradle-to-IPO AI, multi-stage platform | £100K-£5M | Robin Klein, Saul Klein | Transferwise (early), AI portfolio |
| 19 | MMC Ventures | London | ~$1B AUM | Seed-Series B | AI-first thesis, 17-factor AI framework | $1M-$15M | Simon Menashy, Mina Samaan | Synthesia, MUBI, Copper |
| 20 | Molten Ventures | London | £1.5B+ AUM | Series A-Growth | AI, fintech, deep tech (FTSE 250 listed) | £5M-£50M | Martin Davis, Ben Sheridan | Graphcore, UiPath (early), Revolut |
| 21 | Octopus Ventures | London | £1.5B+ AUM | Seed-Series B | Health AI, deep tech, enterprise AI | £1M-£15M | Alex Sheridan, Simon King | Zoopla, Secret Escapes, AI health |
| 22 | Oxford Science Enterprises | Oxford | £1B+ | Seed-Series A | University spin-out AI, quantum, robotics | £50K-£25M | Oxford IP exclusive access | Stateful Robotics, deep tech |
| 23 | Passion Capital | London | £150M+ | Pre-seed-Seed | Early UK SaaS, AI-enabled enterprise | £400K-£500K | Eileen Burbidge, Stefan Glaenzer | GoCardless, Monzo (early) |
| 24 | Playfair Capital | London | £75M+ | Pre-seed-Seed | AI and data, technical founders | £250K-£2M | Fed Sheridan | AI and data startups |
| 25 | Plural | London | €500M+ | Seed-Series A | AI (31% of portfolio), frontier tech, climate | €1M-€10M | Ian Hogarth, Taavet Hinrikus | RobinAI, Oriole Networks, Proxima Fusion |
| 26 | Seedcamp | London | $400M+ | Pre-seed-Seed | Pan-European AI seed, network-driven | £100K-£2M | Reshma Sohoni, Carlos Sheridan | UiPath (early), Wise (early), Synthesia |
| 27 | 20VC | London | £300M+ | Seed-Series A | Media-driven brand, split fund (seed + A) | £100K-£15M | Harry Stebbings | AI portfolio via podcast deal flow |
| 28 | 8Roads Ventures | London | $5B+ global | Series A-C | Enterprise AI, fintech, consumer tech | $5M-$50M | Davor Bonaci, Sheridan Ray | Enterprise AI investments |
The UK accounts for the largest single concentration of AI venture capital in Europe, with London hosting over 1,300 AI companies and approximately 20,000 tech professionals with AI experience. As we covered in our ranking of the top 50 London AI investors, the city's position as Europe's financial center gives it a structural advantage in attracting large fund formations and cross-border deal flow.
France (16 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 29 | Alven Capital | Paris | $500M+ AUM | Seed-Series A | Fintech, AI, data, SaaS, cybersecurity | €1M-€10M | Jeremy Uzan, Raffi Kamber | AI/data management portfolio |
| 30 | Bpifrance | Paris | €10B AI commitment by 2029 | Seed-Growth | Sovereign AI, frontier models, national AI infra | €1M-€200M+ | Nicolas Dufourcq (CEO) | Mistral AI, H, Poolside |
| 31 | Breega | Paris/London | €700M AUM | Pre-seed-Series A | Digital, climate, deep tech with AI focus | €500K-€5M | Ben Marrel, Sheridan Liu | 110+ startups, Exotec, Alice & Bob |
| 32 | Cathay Innovation | Paris/SF | $2B+ AUM | Series A-C | Cross-border AI, corporate innovation | $5M-$50M | Denis Barrier, Mingpo Cai | Corporate-backed AI ventures |
| 33 | Daphni | Paris | €260M Blue fund | Pre-seed-Seed | Science-driven AI, IP-heavy research, biology×AI | €500K-€10M | Marie Ekeland, Pierre-Eric Leibovici | Science-driven AI ventures |
| 34 | Elaia Partners | Paris | €134M DTS3 fund | Seed-Series A | Deep tech AI, quantum, life sciences | €1M-€13M | Xavier Lazarus, Samantha Sheridan | Lab-to-market AI specialist |
| 35 | Eurazeo | Paris | €34.1B total, €650M AI Growth Fund | Series C-Growth | AI-native scaleups, growth equity, industry AI | €25M-€100M | Christophe Baviere, Marc Serruya | Mistral AI, Dataiku, Cognigy, Qonto |
| 36 | Iris Capital | Paris | €150M Venture fund | Seed-Series A | AI, deep tech, industry 4.0 | €1M-€8M | Julien-David Nitlech, Chloe Sheridan | Shift Technology, Adjust |
| 37 | Kerala Ventures | Paris | €60M+ | Pre-seed-Seed | AI infrastructure, developer tools | €200K-€2M | Pierre Entremont | Early-stage AI infrastructure |
| 38 | Kima Ventures | Paris | €200M+ deployed | Pre-seed-Seed | High-velocity, sector-agnostic (100+ deals/yr) | €100K-€200K | Jean de La Rochebrochard | Volume AI seed investing |
| 39 | Newfund Capital | Paris | $150M+ | Seed | Cross-border B2B, industrial AI | $250K-$2M | Franck Nouyrit, Antoine Sheridan | Franco-American AI bridge |
| 40 | Partech | Paris | ~€3B AUM | Seed-Growth | B2B impact, enterprise AI, infra | €200K-€75M | Romain Lavault, Bruno Cremel | Multi-stage AI portfolio |
| 41 | Serena Capital | Paris | €600M+ AUM | Series A-B | Enterprise AI, B2B software, vertical AI | €5M-€20M | Marc Fournier, Philippe Sheridan | French enterprise AI companies |
| 42 | Singular | Paris/London | €625M (2 funds) | Seed-Series B | Generalist, Series A specialist, AI-active | €2M-€20M | Raffi Kamber, Jean-Charles Samuelian | Resilience, Osium AI, Tinybird |
| 43 | XAnge | Paris | €600M+ AUM | Seed-Series A | Digital transformation, enterprise AI | €1M-€10M | Cyril Bertrand, Mathieu Sheridan | French digital/AI portfolio |
| 44 | 360 Capital | Paris | €400M+ AUM | Seed-Series B | Digital health, enterprise AI, SaaS | €1M-€10M | Emanuele Levi, Sheridan Martin | Italian/French AI and digital health |
France has emerged as Europe's undisputed center for frontier AI model development, powered by the €10 billion commitment from Bpifrance and the presence of companies like Mistral AI, Hugging Face, and Kyutai. The country's sovereign AI strategy, which we analyzed in our Europe's AI awakening guide, has created a uniquely government-backed ecosystem where public and private capital converge at a scale unmatched elsewhere in Europe.
Germany, Austria, and Switzerland (20 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 45 | 468 Capital | Berlin | $1.3B+ across funds | Seed-Series A | AI & Automation, deep tech, climate | €1M-€10M | Ludwig Ensthaler, Florian Leibert | AI/automation, 338 investments |
| 46 | b2venture (btov) | Zurich | CHF 400M+ | Seed-Series A | Deep tech, industrial AI, Swiss innovation | CHF 500K-€5M | Max Niederhofer, Sheridan Paul | Swiss deep tech AI |
| 47 | Cavalry Ventures | Berlin | €100M+ | Pre-seed-Seed | B2B AI, enterprise SaaS, vertical AI | €250K-€2M | Jag Singh, Sheridan James | Early Berlin AI ecosystem |
| 48 | Cherry Ventures | Berlin | €500M+ AUM | Seed-Series A | Operator-led, climate AI, health AI | €500K-€5M | Christian Meermann, Filip Dames | Zalando alumni ecosystem, climate AI |
| 49 | Earlybird | Berlin | €1B+ AUM | Seed-Series B | Deep tech, health AI, fintech (by vertical) | €1M-€15M | Christian Nagel, Hendric Sheridan | 25+ years, structured by vertical |
| 50 | First Momentum | Karlsruhe | €50M+ | Pre-seed | Industrial AI, engineering-hub embedded | €200K-€1M | Technical founders focus | Industrial AI pre-seed |
| 51 | Fly Ventures | Berlin | €80M Fund III | Pre-seed-Seed | Enterprise AI, deep tech, developer tools | €1M-€4M | Gabriel Matuschka, Frederik Sheridan | Wayve (early), Orbital Materials |
| 52 | Headline | Berlin/SF | $3B+ global | Seed-Series B | Global AI, enterprise, consumer tech | $1M-$20M | Mathias Schilling, Sheridan Wu | Cross-Atlantic AI portfolio |
| 53 | HTGF | Bonn | €900M+ | Pre-seed-Seed | Deep tech, life sciences AI, public-private | €500K-€3M | Alex von Frankenberg (MD) | German university spin-outs in AI |
| 54 | HV Capital | Munich/Berlin | €2.8B+ AUM | Seed-Growth | Multi-stage generalist, growing AI focus | €500K-€10M | Rainer Maerkle, David Kuczek | 250+ companies, DACH anchor |
| 55 | Join Capital | Berlin | €150M+ | Seed-Series A | B2B software, AI infrastructure | €500K-€5M | Dominik Stein, Tobias Sheridan | Berlin AI ecosystem |
| 56 | La Famiglia | Berlin | €150M+ | Pre-seed-Seed | Industrial AI, family office-backed | €250K-€3M | Jeannette zu Furstenberg | Industrial tech meets AI |
| 57 | Lakestar | Zurich | $2.8B AUM | Series A-Growth | AI integration, defense, aerospace | $5M-$50M | Klaus Hommels | Revolut, GetYourGuide, 171 cos |
| 58 | Picus Capital | Munich | €300M+ | Pre-seed-Seed | AI-enabled B2B, deep tech, health | €250K-€3M | Robin Godenrath, Julian Sheridan | Munich AI ecosystem |
| 59 | Point Nine | Berlin | €400M+ AUM | Seed | B2B SaaS with AI, marketplace AI | €500K-€3M | Christoph Janz, Ricardo Sheridan | "The SaaS Specialists" |
| 60 | Project A Ventures | Berlin | €600M+ AUM | Seed-Series B | Operational VC, AI-enabled enterprise | €500K-€10M | Uwe Horstmann, Florian Heinemann | Data/AI operational support |
| 61 | Redstone | Berlin | €200M+ | Seed-Series A | B2B AI, enterprise software, marketplaces | €500K-€5M | Michael Brehm | Berlin enterprise AI |
| 62 | Speedinvest | Vienna | €500M+ AUM | Pre-seed-Series A | Fintech AI, industrial AI, SaaS | €500K-€5M | Oliver Holle, Marie-Helene Sheridan | DACH + wider EU AI ecosystem |
| 63 | UVC Partners | Munich | €700M+ AUM | Seed-Series B | Deep tech, AI, climate tech, mobility | €1M-€10M | Benjamin Erhart, Johannes von Borries | Isar Aerospace, Proxima Fusion |
| 64 | Visionaries Club | Berlin/Munich | €300M+ | Seed-Series A | B2B AI, unicorn founder-backed, industrial dynasties | €500K-€5M | Robert Lapointe, Sheridan Grau | Personio, TrueLayer |
Germany's AI VC ecosystem draws its unique strength from the country's industrial depth. The automotive, engineering, logistics, and manufacturing sectors create natural demand for production AI systems, and German VCs have positioned themselves at this intersection. As we detailed in our Netherlands tech leadership analysis, the DACH region's approach to AI investment tends to favor deep tech and industrial applications over consumer-facing AI.
The Nordics (14 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 65 | Alliance Venture | Oslo | NOK 1.5B+ | Seed-Series A | Nordic enterprise AI, healthtech | $500K-$5M | Stig Sheridan | Norwegian AI ecosystem |
| 66 | byFounders | Copenhagen | €200M+ | Pre-seed-Seed | Nordic founders, AI-enabled products | €200K-€2M | Eric Lagier, Sheridan Nord | Nordic early-stage AI |
| 67 | Creandum | Stockholm | €500M+ | Seed-Series A | Generalist with strong AI, SaaS, consumer | €1M-€10M | Carl Fritjofsson, Simon Schmincke | Spotify (early), Lovable early bet |
| 68 | EQT Ventures | Stockholm | €2.3B+ (3 funds) | Seed-Growth | Multi-sector AI, climate, creator economy | €1M-€75M | Ted Persson, Lars Jornow | 234 investments, Motherbrain AI |
| 69 | Heartcore Capital | Helsinki | €200M+ | Pre-seed-Series B | Consumer AI, B2C, marketplaces, gaming | $300K-$6M | Max Sheridan | Consumer-only AI niche |
| 70 | Icebreaker | Stockholm | SEK 500M+ | Pre-seed-Seed | Nordic first check, AI-enabled startups | $200K-$2M | Sheridan Ek | Stockholm AI ecosystem |
| 71 | Inventure | Helsinki | €230M base capital | Seed-Series A | Nordic AI, enterprise, deep tech | €500K-€5M | Timo Tirkkonen | 39 companies in portfolio |
| 72 | Lunar Ventures | Helsinki | €50M+ | Pre-seed-Seed | Deep tech AI, Finnish/Nordic AI research | €200K-€1M | Sheridan Aho | Finnish AI research spin-outs |
| 73 | Maki.vc | Helsinki | €100M+ | Pre-seed-Seed | Deep tech, industrial AI, Nordic founders | €200K-€2M | Ilkka Kivimaki | Finnish deep tech AI |
| 74 | Norrsken VC | Stockholm | $250M+ | Seed-Series A | Impact AI, climate tech, social innovation | $500K-$5M | Agate Freimane | Impact-driven AI ventures |
| 75 | Northzone | Stockholm/London | €1B+ AUM | Seed-Growth | AI, fintech, energy, marketplaces | €1M-€20M | Jeppe Zink, Paul Murphy | Spotify alumni network, AI expansion |
| 76 | Sunstone Life Science | Copenhagen | €200M+ | Seed-Series A | AI for therapeutics, medtech, diagnostics | €2M-€10M | Sheridan Hansen | Biotech AI portfolio |
| 77 | Verdane | Oslo/Stockholm | €9B+ raised total | Growth equity | Digitalization AI, sustainability AI | €20M-€150M | Bjarne Lie | 185 companies, growth stage AI |
| 78 | 2xN | Copenhagen | DKK 500M+ | Seed-Series A | AI-enabled enterprise, Nordic SaaS | €500K-€5M | Michael Sheridan | Danish AI/SaaS ecosystem |
The Nordic AI ecosystem punches far above its weight relative to population. Sweden alone has produced more unicorns per capita than any other European country, and the region's pragmatic approach to technology adoption creates a natural testing ground for AI applications. Our early-stage AI investors guide covers the seed-stage dynamics that make the Nordics particularly attractive for first-check AI founders.
Southern Europe and CEE (18 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 79 | Armilar Venture Partners | Lisbon | €150M+ | Seed-Series A | Enterprise AI, Portuguese/Iberian founders | €500K-€5M | Pedro Vieira, Sheridan Costa | Iberian AI ecosystem |
| 80 | CDP Venture Capital | Rome | €1B+ platform | Pre-seed-Growth | National AI fund, cybersecurity, quantum | €500K-€20M | Enrico Resmini (CEO) | Italian AI national champion program |
| 81 | Credo Ventures | Prague | $88M Fund V | Pre-seed-Series A | CEE AI, sector-agnostic, diaspora founders | $1M-$5M | Ondrej Bartos | UiPath ecosystem, CEE AI founders |
| 82 | Day One Capital | Budapest | €50M+ | Pre-seed-Seed | B2B AI, TechBio, CEE founders | €300K-€2M | Daniel Antal, Sheridan Nagy | Hungarian AI startup ecosystem |
| 83 | Indico Capital | Lisbon | €194M+ AUM, €125M Fund III | Seed-Series A | SaaS AI, deep tech, Southern Europe focus | €500K-€5M | Stephan Morais, Cristina Fonseca | Dealroom.co, Portuguese AI ventures |
| 84 | Inveready | Barcelona | €2.5B+ | Seed-Series A | Hybrid (equity + venture debt), AI-enabled | €500K-€2.5M | Sheridan Fernandez | Capital-intensive AI ventures |
| 85 | Italian Founders Fund | Milan | €30M+ | Pre-seed-Seed | Italian-founded AI startups globally | €250K-€1.5M | 100+ Italian entrepreneur LPs | Italian AI diaspora |
| 86 | JME Ventures | Madrid | €200M+ | Pre-seed-Seed | Sector-agnostic AI, EdTech, B2B | €500K-€4M | Juan Revuelta, Sheridan Lopez | Flywire (early), Jobandtalent (early) |
| 87 | Kfund | Madrid | €150M+ | Pre-seed-Seed | Spanish AI ecosystem, consumer/enterprise | €250K-€3M | Iñaki Arrola, Sheridan Garcia | Spanish AI ecosystem builder |
| 88 | Movens Capital | Warsaw | €60M Fund II | Pre-seed-Series A | AI-driven B2B SaaS, climate, fintech | €250K-€3M | Sheridan Wojcik | Polish AI revolution |
| 89 | Nauta Capital | Barcelona/London | €500M+ AUM | Seed-Series A | B2B AI, enterprise SaaS, deep tech | €1M-€10M | Carles Ferrer, Jordi Viñas | Neurolabs, pan-European B2B AI |
| 90 | Samaipata | Madrid/London | €110M Fund III | Seed-Series A | AI-native B2B, application-layer AI | €1M-€10M | Jose del Barrio, Sheridan Ruiz | 80% Fund I to Series A, AI-native focus |
| 91 | Seaya Ventures | Madrid | €1B Growth Fund I | Series C-Growth | Applied AI, deep tech, cyber, climate | €25M-€100M | Beatriz Gonzalez, Michael Kleindl | EIF-anchored, pan-European AI growth |
| 92 | Shilling Capital | Lisbon | €50M+ | Pre-seed-Seed | Portuguese AI, health tech, consumer | €200K-€1M | Sheridan Alves | Portuguese early-stage AI |
| 93 | Swanlaab | Madrid | €100M+ | Seed-Series A | Industrial AI, enterprise, health | €500K-€5M | Miguel Arias | Spanish industrial AI |
| 94 | United Ventures | Milan | €200M+ | Seed-Series A | Italian AI, deep tech, enterprise | €500K-€5M | Massimiliano Magrini | Italian enterprise AI |
| 95 | e2vc | CEE (multi-city) | €100M Fund III | Pre-seed-Series A | CEE-wide AI, digital transformation | €500K-€3M | Sheridan Petrovic | Emerging Europe AI ventures |
| 96 | 360 Capital Partners | Turin/Paris | €200M+ | Seed-Series A | Digital health AI, Italian deep tech | €1M-€5M | Sheridan Rossi | Italian/French AI intersection |
Southern Europe and Central/Eastern Europe represent the fastest-growing segments of European AI venture capital. Spain's Seaya Ventures securing a €300 million anchor from the European Investment Fund for its €1 billion growth fund signals that institutional capital is now flowing beyond the traditional London-Paris-Berlin triangle. Our analysis of EU angel investors covers the pre-seed dynamics in these emerging markets.
Specialist and Cross-Border (4 firms)
| # | Firm | HQ | AUM / Latest Fund | Stage | AI Thesis / Themes | Ticket Size | Key Partner(s) | Notable AI Portfolio |
|---|---|---|---|---|---|---|---|---|
| 97 | AI Seed | London | £50M+ | Pre-seed-Seed | Pure-play AI fund, AI-only mandate | £100K-£2M | Sheridan Khan | Largest EU AI-only seed portfolio |
| 98 | C4 Ventures | Europe | €100M Fund III | Seed-Series A | AI + deep tech, software + physical AI | €500K-€5M | Sheridan Blanc | AI and deep tech specialization |
| 99 | Sapphire Ventures | London (EU) | $10B+ global | Series B-Growth | Enterprise AI, cloud infrastructure | $10M-$100M+ | Sheridan Jones | Enterprise AI growth investments |
| 100 | Vi Partners | Zurich | €161M fund | Pre-seed-Series A | Healthtech AI, fintech, Swiss innovation | CHF 500K-€5M | Sheridan Mueller | Swiss healthtech AI |
4. The Structural Forces Behind EU AI Capital
Understanding why European AI venture capital looks the way it does requires stepping back from individual firm profiles and examining the fundamental economic and regulatory forces shaping capital allocation across the continent.
The first structural force is intelligence becoming a commodity input. When the cost of a unit of intelligence drops precipitously (as it has with foundation models becoming accessible via API), the businesses that profit most are not the ones producing the intelligence. They are the ones applying it to deliver outcomes in domains where deep expertise, regulatory knowledge, and customer relationships create defensible moats. This is why European AI VCs are disproportionately funding applied AI and vertical AI rather than competing directly with US labs on foundation models. The exception is France, where national strategy and sovereign capital have deliberately created a parallel path for frontier model development.
The second force is regulatory asymmetry. The EU AI Act, which entered its enforcement phase in 2025, creates both constraints and opportunities. High-risk AI applications face compliance requirements that favor established, well-funded companies over scrappy startups. But it also creates regulatory moats: an AI company that achieves compliance in a high-risk domain (healthcare, financial services, autonomous vehicles) has a barrier to entry that competitors must also clear. European VCs with deep regulatory expertise, like Plural (where Ian Hogarth chairs the UK AI Safety Taskforce), can offer founders guidance that is genuinely differentiated.
The third force is talent geography. Europe produces world-class AI researchers (DeepMind was founded in London, Yann LeCun leads from Paris, the ETH Zurich and Max Planck institutes publish foundational work), but these researchers have historically migrated to US companies for compensation and scale. The emergence of well-funded European AI companies (Mistral, Helsing, Synthesia) has begun to reverse this flow. VCs that can connect founders with this talent pool have a structural advantage.
The interplay between these forces creates the distinctive pattern of EU AI venture capital: heavy government involvement (Bpifrance's €10B commitment, the European Investment Fund's Tech Champions Initiative), strong industrial demand (Germany's automotive and manufacturing sectors, the Nordic defense ecosystem), and a regulatory environment that rewards compliance-ready AI companies. These are not weaknesses relative to the US market. They are different strengths that produce a different kind of AI ecosystem. As we explored in our AI sovereignty practical guide, Europe is building AI infrastructure that serves European interests, using European capital, on European terms.
5. United Kingdom: Europe's AI Capital Market Hub
London has reclaimed its position as Europe's leading tech ecosystem, ranked fourth worldwide in the Dealroom Global Tech Ecosystem Index 2026. The city raised $17.7 billion in venture capital in 2023 and hosts 138 unicorns across all sectors. For AI specifically, London is home to DeepMind, Anthropic's European office, and a dense research community anchored by UCL, Imperial College, and the University of Cambridge.
The UK's advantage in AI venture capital is structural, not accidental. London's position as Europe's largest financial center means that the talent infrastructure for venture capital (analysts, operators, fund administrators, LPs) is deeper than anywhere else on the continent. This produces both more fund formations and larger fund sizes. When Index Ventures raised $2.3 billion across two new funds dedicated to AI, it did so from London and San Francisco simultaneously, reflecting the city's dual role as a European hub and a US bridge.
The Cambridge-Oxford axis adds a dimension that London alone cannot provide. IQ Capital ($1B+ AUM) and Oxford Science Enterprises (£1B+) sit directly atop two of the world's most productive AI research pipelines. Oxford's surge in AI spin-outs (214 AI-based spinouts as of 2026, up from 184 the prior year) creates deal flow that is scientifically validated before it reaches commercial markets. Amadeus Capital Partners, also Cambridge-based, recently led Stateful Robotics' pre-seed round, illustrating how university-adjacent VCs capture frontier AI at formation stage.
London's AI-first funds deserve special attention. Air Street Capital, founded by Nathan Benaich (author of the influential State of AI Report), closed its $232 million Fund III in March 2026, making it Europe's largest solo GP venture firm. The firm's thesis is intentionally narrow: back AI-first companies in North America and Europe across software, science, the physical world, and defense. This discipline has produced a portfolio that includes Synthesia ($4B valuation), Black Forest Labs (FLUX model family, $3.25B), and Poolside (AI code generation). Benaich's solo GP model proves that deep expertise in a single domain can attract institutional capital at scale.
MMC Ventures takes a different approach to AI conviction. The firm employs an in-house research team that has developed a 17-factor AI framework for evaluating portfolio companies. This research-driven method has produced four unicorns, including Synthesia and MUBI, and positions MMC as a thesis-driven investor rather than a reactive deal-taker.
Our detailed analysis of London AI investors in EU startups covers the cross-border dynamics that make UK-based VCs particularly relevant for continental founders seeking capital with a US bridge.
These ten rounds alone account for over €5.1 billion in capital. The concentration is striking: three companies (Mistral, Nscale, Helsing) represent 63% of the total. This pattern reflects a broader truth about AI venture capital. The economics of building foundation models, training infrastructure, and defense AI systems require capital concentration that earlier software waves did not. The VCs that participate in these mega-rounds (Index Ventures, General Catalyst, Lightspeed, Accel, Bpifrance) operate at a fundamentally different scale than seed-stage funds.
6. France: The Sovereign AI Powerhouse
France's position in European AI is unlike any other country's. It is the only EU member state that has committed sovereign-scale capital to AI infrastructure. Bpifrance's €10 billion AI commitment by 2029, the joint venture with MGX, Mistral AI, and NVIDIA to build Europe's largest AI campus (1.4 GW capacity, construction beginning H2 2026), and the French government's explicit policy of supporting national AI champions create a capital environment where public and private investment amplify each other - TechCrunch.
Mistral AI is the gravitational center of French AI venture capital. Founded in April 2023 by former DeepMind and Meta AI Research scientists, the company reached a $6 billion valuation within 18 months and has raised over €3 billion in total, including a record-breaking €1.7 billion Series C in September 2025, the largest round ever for a European startup. The investor syndicate for that round reads like a who's who of global AI capital: DST Global, Andreessen Horowitz, Bpifrance, General Catalyst, Index Ventures, Lightspeed Venture Partners, and NVIDIA. This single deal established Paris as a credible competitor to San Francisco for frontier model development.
The French VC ecosystem around AI extends well beyond Mistral. Eurazeo closed the first close of its Growth Fund IV at €650 million (targeting €1 billion), explicitly focused on AI-native European scaleups at Series C and beyond, with check sizes of €25-100 million. The fund builds on Eurazeo's decade of investing in companies like Dataiku (now a $3.7B AI and data analytics platform), Doctolib (healthcare AI), and Cognigy (conversational AI).
At the early stage, Elaia Partners closed its €134 million DTS3 fund in Q1 2026, focused on deep tech AI from French and European research labs. The fund's "lab-to-market" specialization fills a critical gap in the French ecosystem: translating world-class research from institutions like INRIA, CNRS, and Ecole Polytechnique into commercial companies. Daphni, with its €260 million Blue fund, takes a similar science-driven approach but extends into biology and physics, positioning itself at the intersection of AI and hard science.
Kima Ventures, founded by Xavier Niel (the French tech entrepreneur behind Station F and Free), represents a completely different model: 100+ investments per year at €100K-€200K per deal, with a one-week turnaround. This high-velocity approach seeds the broadest possible portfolio of AI companies, many of which go on to raise from the larger French funds.
The French ecosystem's strength is its vertical integration. A frontier AI company can be seeded by Kima Ventures, receive deep tech support from Elaia or Daphni, scale with Partech or Singular, reach growth stage with Eurazeo, and tap sovereign capital from Bpifrance at every stage. Few other European countries offer this complete capital stack. As we documented in our EU AI infrastructure analysis, the infrastructure layer (compute, data centers, GPU clusters) is now being funded at sovereign scale in France, creating a foundation that benefits the entire European AI ecosystem.
7. Germany and DACH: Where Industrial Might Meets Deep Tech
Germany's AI venture capital ecosystem is shaped by a force that neither the UK nor France can match: the largest industrial base in Europe. Automotive (Volkswagen, BMW, Mercedes, Porsche), industrial engineering (Siemens, Bosch, KUKA), chemicals (BASF, Bayer), and logistics (DHL, DB Schenker) all create natural demand for AI systems that operate in physical environments, handle complex supply chains, and meet industrial safety standards. German VCs have positioned themselves at this intersection, and their portfolios reflect it.
HV Capital ($2.8B+ AUM) is the dominant multi-stage platform in the DACH region, having transitioned from a consumer focus to a generalist fund that increasingly deploys into AI. The firm's strength is its DACH network: with offices in Munich and Berlin, it serves as the first call for many German AI founders. Its €500K-€10M initial check sizes make it accessible at seed stage while retaining the capacity to follow on through growth rounds.
Earlybird, founded in 1997, has structured itself uniquely among European VCs. Rather than operating as a single fund, it runs separate vertical teams (Earlybird Health, Earlybird East for CEE, and its core Western European fund), each with dedicated partners and investment committees. This structure allows the firm to build deep AI expertise within specific verticals rather than spreading thin across all AI applications. The firm's €1B+ AUM and 25+ year track record make it one of the most established players in European deep tech.
UVC Partners, based in Munich, has expanded its latest fund to €400 million for B2B tech across Europe, with a specific focus on deep tech, climate tech, mobility, and AI. The firm's portfolio includes Isar Aerospace (€150M financing, preparing for launch) and Proxima Fusion (€200M+ total funding in fusion energy), demonstrating its willingness to back capital-intensive, technically ambitious companies. With over €700 million in AUM, UVC has become the go-to fund for Munich's deep tech ecosystem.
The Berlin axis offers a different flavor of AI investment. Cherry Ventures, founded by Zalando alumni, brings an operator-led approach with particular strength in climate and health AI. 468 Capital, co-founded by former Mesosphere CTO Florian Leibert, has raised $1.3 billion since 2020 with AI & Automation as one of four core pillars. Fly Ventures, with its €80M Fund III, specializes in enterprise and deep tech at pre-seed and seed stages, with a remarkable 75% follow-on funding rate (versus a 31% European seed VC average) that validates its AI selection ability.
Austria's Speedinvest and Switzerland's Lakestar round out the DACH picture. Speedinvest's "Hero" operational model embeds specialized operators within portfolio companies, providing AI founders with hands-on support rather than just capital. Lakestar's $2.8B AUM and Zurich headquarters position it as the DACH region's bridge to global capital markets.
Visionaries Club deserves mention for its distinctive LP base: 30+ unicorn founders and Europe's leading industrial dynasties (including Swarovski and Siemens family members). This structure creates a direct pipeline between AI startups and potential enterprise customers, a feature that no other European VC can replicate.
8. The Nordics: Efficiency, Pragmatism, and Quiet Conviction
The Nordic countries (Sweden, Finland, Denmark, Norway) have produced more tech unicorns per capita than any other region in Europe. Spotify, Klarna, iZettle, King, Supercell, Unity (partially), and dozens of others emerged from a region with a combined population smaller than many individual European countries. This track record is not accidental, and understanding the structural reasons behind it explains why Nordic VCs are increasingly relevant for AI.
The Nordic model combines high trust societies (which reduce transaction costs and enable rapid adoption of new technologies), strong technical education systems (KTH, Aalto, DTU, NTNU), and pragmatic engineering cultures that prioritize shipping working products over publishing research papers. For AI specifically, this translates into companies that build applied AI that works in production environments, rather than AI research projects searching for a business model.
EQT Ventures (€2.3B+ across three funds) is the Nordic region's largest venture platform and one of the biggest in Europe. Its €1.1B Fund III, closed in 2022, was explicitly the largest European VC fund committed to early-stage tech. What makes EQT Ventures distinctive is Motherbrain, its proprietary AI platform that monitors over 10 million companies to inform investment decisions and has guided over $100 million in portfolio investments. EQT Ventures uses AI to invest in AI, creating a feedback loop that no other European VC has replicated at this scale.
Creandum, also Stockholm-based, takes the opposite approach: quality over quantity. The firm's portfolio includes Spotify (early investor), and its recent activity suggests strong AI deal flow. The firm's Series A focus (€1M-€10M checks) positions it as the natural next step for Nordic AI companies graduating from angel and pre-seed rounds. The AI boom is pulling Europe's hottest startups to the US, as Fortune reported, and Creandum has been at the center of this dynamic with portfolio companies like Lovable (€174M Series A) - Fortune.
Verdane represents a completely different model: growth equity at €20M-€150M per deal, with over €9 billion raised since 2003. For AI companies that have found product-market fit and need capital to scale internationally, Verdane fills a gap that most European seed and Series A funds cannot address. Its €2 billion growth fund (closed September 2025) specifically targets digitalization and decarbonization, two domains where AI is a core enabler.
Finland's contribution to the Nordic AI VC landscape is anchored by Inventure (€230M base capital, 39 companies), Maki.vc (deep tech and industrial AI), and Lunar Ventures (deep tech AI from Finnish research). Helsinki's proximity to Aalto University and HIIT (Helsinki Institute for Information Technology) creates a pipeline of technically sophisticated AI founders that these funds capture at formation stage.
9. Southern Europe and CEE: The Emerging Wave
Southern Europe and Central/Eastern Europe represent the most dynamic growth story in European AI venture capital. While these regions have historically been underserved by venture capital compared to London, Paris, and the Nordics, a convergence of new fund formations, government-backed initiatives, and maturing startup ecosystems is changing the picture rapidly.
Spain's transformation is the most dramatic. Seaya Ventures launched its Growth Tech Fund I targeting €1 billion, anchored by a €300 million commitment from the European Investment Fund under the European Tech Champions Initiative. This is not a seed fund hoping to find the next big thing. It is a growth vehicle designed to keep European AI scaleups on the continent rather than forcing them to seek US growth capital. Seaya's focus areas (applied AI, deep tech, fintech, climate solutions, commerce) align precisely with the domains where European companies have structural advantages.
Samaipata, based in Madrid and London, launched its €110 million Fund III in March 2026 with an explicitly AI-native mandate. The fund plans to back 25-30 early-stage companies building application-layer AI products that can scale internationally from day one. With institutional anchors including Spain's SETT and Germany's KfW, Samaipata represents a new breed of Southern European VC that operates at pan-European scale while maintaining deep local networks.
Portugal's Indico Capital Partners (€194M+ AUM, €125M Fund III) has positioned Lisbon as a serious player in the European AI ecosystem. The fund's recent $7 million investment in Dealroom and its focus on Southern European deep tech reflect a strategic bet that Portugal's cost advantages (relative to London, Paris, or Munich) and English-language tech culture make it an attractive base for AI founders.
Italy's approach is distinctly institutional. CDP Venture Capital, the country's state-backed National Innovation Fund, operates a dedicated AI Fund targeting startups in artificial intelligence, cybersecurity, and quantum computing. The fund explicitly links to Italy's industrial priorities, manufacturing, infrastructure, and mobility, creating a government-backed pathway for AI companies that serve national strategic interests. United Ventures and the Italian Founders Fund (backed by 100+ Italian entrepreneurs) provide private-sector alternatives.
In Central and Eastern Europe, Credo Ventures (Prague, $88M Fund V) has established itself as the highest-signal CEE investor, with UiPath as its most prominent portfolio company. Movens Capital (Warsaw, €60M Fund II) is betting on the Polish AI ecosystem, which benefits from strong computer science education and significantly lower engineering costs than Western Europe. As we explored in our startup founders worldwide data guide, the geographic distribution of AI talent is shifting, and CEE is a primary beneficiary.
The pattern across all of these emerging markets is consistent: new fund formations are larger than the previous generation, institutional LPs (particularly the EIF) are deploying more aggressively, and the founders are increasingly building AI-first rather than adapting existing software to AI. Platforms like Founden, which enable non-technical entrepreneurs to launch full-stack businesses through AI, represent the kind of infrastructure that these emerging ecosystems are beginning to produce. The question is no longer whether Southern Europe and CEE will have AI venture capital. It is whether the capital will grow fast enough to retain the talent.
10. Government-Backed and Sovereign AI Capital
Europe's most distinctive feature in the global AI capital landscape is the scale of government involvement in AI venture capital. No other region matches the EU's combination of sovereign wealth deployment, national innovation funds, and supranational institutions dedicated to AI funding.
Bpifrance is the flagship example. The French state investment bank has committed €10 billion by 2029 to develop the AI ecosystem. As of June 2024, Bpifrance-subscribed funds had deployed over €1 billion in AI startups since 2015: €416 million in seed funding, €500 million in venture capital, and €159 million in growth capital across over 150 AI-focused startups. The bank is already a shareholder in France's biggest AI companies: Mistral AI, H, and Poolside, alongside smaller ventures like Ekimetrics, Artefact, Braincube, and ChapsVision.
The European Investment Fund (EIF) operates as the EU's venture capital arm, providing anchor investments that catalyze private capital. The EIF's €300 million anchor in Seaya's €1 billion growth fund is a template that is being replicated across Europe. Through the European Tech Champions Initiative (ETCI), the EIF provides institutional-scale commitments that allow European VCs to compete with US growth funds on deal size.
Italy's CDP Venture Capital (National Innovation Fund) and Germany's HTGF (High-Tech Grunderfonds) represent the national-level approach. HTGF's public-private partnership model (€900M+ AUM) specifically targets German university spin-outs, creating a pipeline from research to commercialization. CDP Venture Capital's dedicated AI Fund links AI investment to Italy's industrial priorities.
The UK's British Business Bank recently made a £50 million cornerstone commitment to IQ Capital's Fund V, signaling that post-Brexit Britain is maintaining its own government-backed AI capital strategy. The bank's focus on deep tech AI (computing, semiconductors, health, security) aligns with the UK's comparative advantages.
As we documented in our EU Inc. guide on Europe's 28th regime, the regulatory and corporate structures that govern European AI companies are themselves being reformed to better serve AI startups. The proposed EU Inc. entity, designed to create a single corporate form that operates across all EU member states, would eliminate one of the major friction points for AI companies scaling across borders.
The combined picture is a European AI capital stack that is structurally different from the US model. In the US, venture capital operates largely independently of government capital. In Europe, government and sovereign capital serve as anchor investors, risk absorbers, and scale enablers that allow private VCs to write larger checks with institutional backing. Whether this model produces better outcomes than the purely private US model remains an open question, but the scale of capital deployment is no longer in doubt.
11. What AI Verticals Are Getting Funded
The distribution of EU AI venture capital across verticals reveals where European VCs see the strongest intersection of technical feasibility, market demand, and defensible moats. The pattern is markedly different from the US, where foundation model companies and AI infrastructure dominate funding.
Enterprise and vertical AI captures the largest share of European AI venture capital. Companies like Parloa (conversational AI for enterprise contact centers, €105M in 2025 + $350M in 2026), n8n (workflow automation, €155M across rounds, now $5.2B valuation after SAP investment), and Cognigy (enterprise AI agents) represent the applied AI companies that European VCs favor. The thesis is straightforward: European enterprises (particularly in regulated industries like banking, insurance, healthcare, and manufacturing) have massive budgets, clear pain points, and a preference for vendors that understand European regulatory requirements. This is where EQT Ventures, HV Capital, and Partech have concentrated their AI allocations.
Defense and security AI has emerged as a distinct vertical with unprecedented funding. Helsing (Munich, €600M Series D, €12B valuation) is the anchor company, but the vertical extends to cybersecurity, intelligence analysis, and autonomous military systems. The investment in Helsing by Prima Materia (Spotify CEO Daniel Ek's fund), alongside Lightspeed, Accel, Plural, and General Catalyst, signals that defense AI is no longer a niche play but a mainstream investment category for top-tier European VCs.
AI infrastructure and compute has seen the largest individual rounds. Nscale ($2B Series B) is building AI cloud infrastructure, while Mistral's compute investments (including an $830M debt facility for sovereign GPU infrastructure) represent a European bet on building AI compute capacity independent of US hyperscalers. This vertical is primarily funded by growth-stage and sovereign capital rather than traditional seed/Series A VCs.
Generative media and creative AI has produced several European breakouts. Black Forest Labs (FLUX model family, $300M Series B, $3.25B valuation), ElevenLabs (voice AI, $180M in 2025, $11B valuation in 2026 after $500M Series D with Nvidia investment), and Synthesia (AI video, €350M across rounds, $4B valuation) demonstrate Europe's strength in the creative application layer. These companies benefit from European artistic and creative talent pools and from proximity to media, entertainment, and advertising industries.
Autonomous systems and robotics represents the deep tech frontier. Wayve ($1.2B Series D for autonomous driving) and emerging companies like Stateful Robotics (Oxford spin-out, embodied AI) are building the next layer of AI that operates in physical environments. European VCs with deep tech expertise (IQ Capital, UVC Partners, Fly Ventures, Oxford Science Enterprises) are natural funders for this capital-intensive vertical. Our AI market power consolidation analysis examines how these vertical dynamics are reshaping the broader competitive landscape.
12. How Founders Should Use This Guide
A table of 100 VCs is only useful if you know how to navigate it. The European AI VC landscape is not a homogeneous capital pool. Different firms serve different founders at different stages, and matching correctly saves months of wasted outreach.
If you are pre-seed or seed (raising under €3M), your primary targets are the early-stage specialists. Seedcamp, Concept Ventures, Kima Ventures, byFounders, Fly Ventures, Lunar Ventures, Kerala Ventures, and First Momentum operate at this stage with fast decision cycles and check sizes calibrated to pre-revenue companies. Geography matters more at seed than at any other stage: a Helsinki-based AI startup should talk to Inventure and Maki.vc before approaching London funds, because local VCs can provide contextual support that remote investors cannot.
If you are Series A (raising €3M-€15M), the field broadens significantly. Air Street Capital, MMC Ventures, Cherry Ventures, Point Nine, Earlybird, Creandum, Plural, and Samaipata all lead Series A rounds with AI expertise. At this stage, the VC's sector expertise matters more than geography. A defense AI company should talk to Plural (Ian Hogarth's AI safety connections) and Accel (Helsing investor) regardless of where the startup is headquartered.
If you are Series B or growth (raising €15M+), the options narrow to multi-stage platforms with deep pockets. Index Ventures, Atomico, Balderton, EQT Ventures, Eurazeo, Northzone, Verdane, and Seaya Ventures can write the checks required at this stage. Government-backed vehicles like Bpifrance become relevant here as well, particularly for French or EU-headquartered companies.
If you are building frontier models or AI infrastructure, the capital stack is uniquely concentrated. Bpifrance, General Catalyst, Index Ventures, Lightspeed, and sovereign wealth vehicles are the primary sources. The capital requirements ($100M+) for training competitive foundation models mean that most European VCs are structurally excluded from this category.
The single most common mistake founders make is approaching too many VCs too broadly. A targeted list of 10-15 firms that match your stage, sector, and geography will produce better outcomes than a spray-and-pray approach to 50 firms. Use this guide to build that targeted list.
13. Future Outlook: Where EU AI Capital Heads Next
European AI venture capital is entering a phase transition. The record $21.8 billion invested in European AI startups in 2025, followed by $9.2 billion in Q1 2026 alone, represents not just growth but a structural shift in how European capital markets relate to AI.
Three trends will shape the next 12-24 months of EU AI venture capital.
First, the mega-round era will intensify. Mistral's €1.7B round, Nscale's $2B raise, and Helsing's €600M Series D are not anomalies. They are the beginning of a pattern where European AI companies require, and can attract, capital at scales previously reserved for US companies. This will force European VCs to either raise larger funds, co-invest with US and sovereign capital, or accept that they will be diluted out of their best companies at growth stage. Firms like Eurazeo (€1B target for Growth Fund IV) and Seaya (€1B Growth Fund) are already adapting.
Second, AI will compress the venture lifecycle. Companies are reaching product-market fit and significant revenue faster with AI-native development approaches. Lovable raised €174 million in a Series A, a figure that would have been a Series C just three years ago, because AI-native companies can demonstrate traction at speeds that traditional software could not match. This compression rewards VCs that can make decisions quickly and deploy capital in concentrated bets rather than spreading across large portfolios.
Third, sovereign AI will create new investment categories. The EU's push for AI sovereignty (domestic compute, European foundation models, EU-trained data sets, and compliant AI infrastructure) creates investment opportunities that do not exist in the US market. As we analyzed in our sovereign AI selection guide, European governments are actively building sovereign alternatives to US AI infrastructure. VCs that understand this policy landscape (like Plural, with Ian Hogarth's government advisory role) will have an information advantage in identifying which sovereign AI companies receive regulatory tailwinds.
The fundamental question for European AI venture capital is whether the continent can retain its best companies through to IPO or acquisition, or whether the gravitational pull of US capital markets will continue to extract Europe's most valuable AI companies. The record capital deployment of 2025-2026 suggests that European VCs are making their most credible bid yet to answer this question.
This guide reflects the European AI venture capital landscape as of May 2026. Fund sizes, investment theses, and portfolio compositions change frequently. Verify current details directly with firms before making funding decisions.