100+ AI/ML Venture Capital Firms to Raise Money for Your AI Startup

100+ AI/ML Venture Capital Firms to Raise Money for Your AI Startup

Artificial Intelligence and Machine Learning are reshaping every industry—from healthcare and robotics to finance, logistics, climate tech, and creative tools. But building an AI company is capital intensive. Whether you’re training massive models, commercializing novel data platforms, or building autonomous agents, securing funding from venture capitalists who understand the complexity of AI is essential.

This guide lists over 100+ AI-focused venture capital firms that are actively funding early to growth-stage AI/ML startups. Whether you’re pre-seed or Series C, bootstrapped or spinning out from a research lab—there are specialized funds here for you.

Top AI-Focused VC Firms Globally

These firms specialize in artificial intelligence and machine learning investments.

  1. Air Street Capital – Deep AI/ML and computational science focus
  2. Radical Ventures – Canadian fund investing exclusively in AI startups
  3. SignalFire – AI-native fund using data science to support portfolio growth
  4. Zetta Venture Partners – Seed-stage B2B AI startups only
  5. Gradient Ventures – Google’s AI-focused venture fund
  6. Flying Fish Partners – Pacific Northwest VC focused on applied AI
  7. Glasswing Ventures – AI-powered security and enterprise intelligence
  8. Differential Ventures – B2B AI and ML data infrastructure focus
  9. InReach Ventures – AI-driven deal sourcing, investing across Europe
  10. Pioneer Fund – YC alumni fund investing in AI-first companies

Corporate AI Venture Arms

These funds are backed by tech giants and often bring powerful strategic benefits.

  1. Intel Capital – Invests heavily in edge AI, computer vision, and chips
  2. Samsung NEXT – Focus on AI, deep tech, and smart devices
  3. Microsoft’s M12 Ventures – Enterprise AI and platform investments
  4. Google Ventures (GV) – Broad tech focus, strong track record in AI
  5. Amazon Alexa Fund – Speech, NLP, home automation, smart assistant AI
  6. Qualcomm Ventures – AI for mobile, IoT, and edge computing
  7. Salesforce Ventures – AI for enterprise and automation (Einstein ecosystem)
  8. NVIDIA Inception & Ventures – Strategic AI investments, GPU & compute ecosystem
  9. IBM Ventures – Enterprise AI and data science
  10. Bosch Venture Capital – AI for industrial automation and smart mobility

AI VC Funds with Academic or Research Roots

Some of the most visionary VCs emerged from world-class universities and labs.

  1. The Engine (MIT) – Tough tech and deep learning ventures
  2. Osage University Partners – Invests in AI startups spun out of universities
  3. Element AI (acquired by ServiceNow) – Formerly an AI startup studio
  4. AI Seed – UK-based seed fund focused on AI spinouts
  5. Berkeley SkyDeck Fund – Backing UC Berkeley-affiliated AI startups
  6. Oxford Sciences Innovation – Oxford University IP commercialization fund
  7. Amadeus Capital Partners – Deep tech and AI academic spinouts
  8. QVentures – UK-based fund with AI/ML special interest
  9. Creative Destruction Lab – AI stream for scale-stage science companies
  10. F-Prime Capital – AI for healthcare, fintech, and diagnostics

Early-Stage & Seed Funds Targeting AI

Great for pre-seed and seed AI startups getting their MVP off the ground.

  1. Khosla Ventures – Very active in early AI and deep tech
  2. E11 Capital – Seed investors in global AI-first companies
  3. First Round Capital – Frequent early backers of AI infrastructure startups
  4. Notion Capital – B2B SaaS and AI across Europe
  5. Precursor Ventures – Early believers in new platforms and AI models
  6. Bloomberg Beta – Focus on the future of work and machine intelligence
  7. Alchemist Accelerator Fund – Enterprise AI startups, especially B2B
  8. LocalGlobe – UK-based seed and AI-friendly
  9. One Way Ventures – Immigrant founder fund, deep AI focus
  10. Root Ventures – Hardware, robotics, and AI tooling

Climate, Health, and Industry-Focused AI Funds

These VCs back sector-specific AI solutions.

  1. Fifty Years – Social impact and science-led AI companies
  2. Third Sphere – AI for sustainable cities and energy
  3. Obvious Ventures – AI for climate, food systems, and healthcare
  4. Data Collective (DCVC) – Invests in deep tech and synthetic biology + AI
  5. Lux Capital – Emerging intersections of biology and AI
  6. Rethink Impact – Women-led, AI-for-good portfolio
  7. Better Ventures – Purpose-driven deep tech and AI
  8. Spero Ventures – Backing AI for wellness, education, and sustainability
  9. Blue Horizon – AI in future food and agtech
  10. HealthX Ventures – AI for clinical workflows and decision support

AI-Driven Funds Using Proprietary Tech

VCs using AI to power their own investment strategy.

  1. Tribe Capital – Uses data science to drive portfolio analysis
  2. InReach Ventures – Built proprietary AI to identify European founders
  3. SignalFire – Combines machine learning with founder tracking
  4. GV (Google Ventures) – Built strong internal data platforms for investment
  5. Rocketship.vc – Uses data mining to identify fast-growth startups
  6. NFX – Network effects platform using algorithms to model startup potential
  7. Contrary Capital – Scouts and invests based on research models
  8. UpHonest Capital – Data-driven early-stage fund
  9. Uncork Capital – Deep AI interest in consumer AI platforms
  10. Kindred Ventures – AI to evaluate early consumer and SaaS plays

Female-Led or Diversity-Focused AI Funds

Supporting diverse AI talent and inclusive innovation.

  1. Backstage Capital – Backs underrepresented founders, including in AI
  2. Chingona Ventures – Latinx- and women-led AI companies
  3. Portfolia – Women-led investor syndicates including AI/ML startups
  4. Rethink Impact – Focus on gender diversity in deep tech
  5. Visible Hands – Funding BIPOC and women tech founders
  6. Gold House Ventures – Asian-American-led innovation
  7. Operator Collective – Female operators investing in AI SaaS
  8. Fearless Fund – Women of color in AI/tech
  9. New Age Capital – Black and Latinx tech entrepreneurs
  10. Precursor Ventures – Diversity-forward early-stage AI investments

Europe, APAC, and Global AI VC Firms

Funding the global future of artificial intelligence.

  1. Speedinvest (Austria) – Europe-wide AI investments
  2. Cherry Ventures (Germany) – Seed and Series A across tech
  3. Antler (Singapore, Global) – Very early-stage AI investments
  4. Wavemaker Partners (SEA & US) – AI across sectors
  5. Global Brain (Japan) – Robotics and machine learning
  6. Big Basin Capital (Korea/US) – AI and deep tech
  7. HAX (China/Global) – Hardware + AI accelerators
  8. iGlobe Partners (Singapore) – Cross-border, AI for enterprise
  9. SOSV – Deep tech and AI, strong hardware integration
  10. Cathay Innovation – Global fund with AI-driven thesis

Venture Studios and Startup Labs Focused on AI

These organizations fund and co-build AI startups.

  1. AI Fund – Founded by Andrew Ng, incubates and funds AI startups
  2. Day One Ventures – PR and seed capital for AI startups
  3. Human Capital – Talent-first fund for AI companies
  4. Founders Factory – Corporate-backed studio with AI portfolio
  5. Betaworks – New platforms, generative AI, creative tools
  6. Science Inc. – Studio model with AI commerce ventures
  7. JLABS (Johnson & Johnson) – AI for medtech and pharma
  8. StartX AI – Stanford-affiliated startup support
  9. Creative Destruction Lab (CDL AI Stream) – Deep AI coaching and investment
  10. Techstars AI – Accelerator + fund for early-stage AI startups

Other Notable AI-Investing VCs You Should Know

  1. Andreessen Horowitz (a16z) – Strong presence in foundational AI
  2. Sequoia Capital – Invested in OpenAI, many AI unicorns
  3. Accel – Invests in AI platforms and infra
  4. Bessemer Venture Partners – AI/ML enterprise SaaS
  5. Lightspeed Venture Partners – Deep AI presence
  6. Benchmark Capital – Backed several ML leaders
  7. Index Ventures – Strong Europe-US AI bridge
  8. Menlo Ventures – Robotics, AI automation, generative AI
  9. GV (again, worth repeating) – Huge portfolio across AI
  10. OpenOcean VC – Data-centric AI startups

Tips for Pitching AI VCs

  • Be precise about your AI advantage – Avoid generic “AI-powered” claims. Highlight defensible ML, proprietary data, or novel architecture.
  • Show traction with data – Investors love metrics that validate your model.
  • Demonstrate scalability – From GPU usage to data pipelines, VCs want to see scale potential.
  • Highlight team credibility – Include research credentials, past startups, or academic work.
  • Speak the language – AI VCs understand technical jargon. Use it appropriately.