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All investor lists > AI
Browse OpenVC's list of investors funding startups in artificial intelligence, machine learning, generative AI, and deep learning. Find the right partners for seed, pre-seed, and early-stage capital.
Last update: June 6, 2026
List author: Lucas Roquilly
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Raising money from AI investors can be tough. Capital is competitive, technical expectations are high, and not every investor actually understands what you’re building. Still, founders who know how the landscape works and focus on the right conversations give themselves a real edge.
This guide breaks down how AI venture capital works today, what investors look for, and how founders use OpenVC to find and connect with the right AI investors without wasting months chasing the wrong people.
AI is pulling in more capital than any other sector right now, according to Crunchbase. In 2025, nearly half of all global venture funding went into AI (up from roughly a third the year before). More than $200 billion has already flowed into AI across infrastructure, foundation models, and application-layer companies.
Additionally, a report from Goldman Sachs explains how AI companies’ capital spending may surpass $500 billion in 2026.
Active AI investors are becoming more discerning, requiring founders to demonstrate 4 core competencies from a business standpoint:
1. Technical differentiation: A clear advantage over existing solutions.
2. Market validation: Early traction, pilot programs, or adoption signals.
3. Financial discipline: A sound financial model and transparent unit economics.
4. Regulatory preparedness: Awareness of AI governance, data privacy, and compliance trends.
YC recently released their latest Requests for Startups for Spring 2025, and amongst the list was a plethora of ideas for critical AI solutions, including:
This isn’t a comprehensive list of AI technologies, so don’t count yourself out if you’re in another sub-sector.
AI startups attract capital from a variety of investor types, each bringing different resources, risk appetites, and strategic value. Understanding these distinctions helps founders tailor their outreach and fundraising strategy.
Institutional VCs are the largest single category of investors in AI startups, providing substantial capital and strategic support across multiple stages. Their dominance in the ecosystem makes them a critical target for founders seeking follow-on funding.
Corporate venture arms invest strategically to gain insight into emerging AI technologies. In 2024, corporate investors contributed about 25% of AI funding globally, providing both capital and strategic alignment opportunities.
Micro venture capital firms target early-stage startups with smaller checks and higher risk tolerance. They are often active investors who guide strategy and fundraising.
Angels provide initial capital and hands-on guidance. They are particularly critical for validating ideas and getting prototypes off the ground.
Incubators and accelerators offer structured programs that combine funding, mentorship, and networking. Participation can increase visibility and credibility with future investors.
AI Pre-Seed Funding
At the pre-seed round, investors know your product will evolve, but they want conviction that the team and technical foundation are strong enough to get there. A working prototype—no matter how scrappy—proves feasibility. Pair that with a proprietary data strategy (e.g., exclusive sources, analytics, licensing deals, or clever collection methods) to show you’re building something defensible from day one. Investors will often forgive missing revenue if your expertise and vision stand out.
AI Seed Funding
Seed round investors want proof that your idea can resonate in the market. That means early adoption (users, pilots, or even strong LOIs) plus data infrastructure that scales as demand grows. Just as important is clarity on how you’ll turn technical innovation into a real business.
AI Series A+ Funding
By Series A, the story shifts from promise to proof of repeatability. Investors look for strong retention, a well-defined pricing model, and signs of unit economics working at scale. You’ll also need to show operational maturity—governance, compliance readiness, and the ability to handle enterprise-level contracts.
Securing meetings is one thing — winning conviction from AI startup investors is another. Most serious AI VC funds run your pitch through the same filters, and knowing how they think can help you prepare.
AI investors want to know: what keeps a competitor from doing this better, faster, and cheaper? Proprietary data pipelines, unique architectures, or deeply verticalized models are what create defensibility.
Investors need evidence that your product is more than a research project. Early customer contracts, growing API usage, or even high pilot-to-paid conversion rates show there’s a market willing to pay. For enterprise AI, strong design partners are especially persuasive.
AI burns cash quickly, and investors know it. Be prepared to explain your compute costs down to the unit level: cost per training run, inference cost per user, and how these numbers improve over time.
With AI Act provisions coming into play in the EU and increasing scrutiny in the U.S., investors now expect a compliance plan. Address how you handle data privacy (GDPR), bias mitigation, and model explainability. Ignoring these signals risks. Tackling it early signals maturity.
AI founders often underestimate how quantitative these conversations get. The numbers below often decide whether your pitch moves forward:
Here are some of the most prominent names in AI venture capital:
Naval Ravikant – AngelList co-founder; prolific angel investor with 200+ investments, including Uber, Twitter, and more recently AI companies like Anthropic and Perplexity.
Elad Gil – Serial entrepreneur and super-angel; personal AI bets include Character.AI, Mistral, and Perplexity.
Cyan Banister – Former Uber backer; early angel in OpenAI and multiple AI-first startups.
Edward Lando – Paris-based operator and angel; active in early AI/ML startups across Europe and the U.S.
Ryan Hoover – Product Hunt founder; invests in product-led AI startups, often at the pre-seed/seed stage.
Gokul Rajaram – Product leader turned angel; known for early checks into high-growth startups, with increasing AI portfolio exposure.
Balaji Srinivasan – Former Coinbase CTO; angel backing in frontier AI + crypto/AI intersections.
Ian Hogarth – Co-founder of Songkick and investor in AI safety/deep tech; co-author of the State of AI Report.
Samantha Wong – Angel and partner at Blackbird Ventures; makes personal bets in applied AI in APAC.
Hesham Zreik – Angel + microfund manager (FasterCapital); invests personally in AI, SaaS, and deep tech founders globally.
These funds and programs are standout sources of support and capital for AI founders in the early stages. Each AI seed investor brings unique strengths — whether it’s capital, mentorship, technical resources, or network access.
AI doesn’t exist in a vacuum. Many startups raising from AI VCs also attract capital from adjacent sectors. If you’re building in AI, you’ll want to explore these related investor databases on OpenVC:
With the right approach, you can turn a cold list of names into engaged partners ready to back your vision. But it all starts with creating a winning fundraising strategy. Next, let’s go over what you can do to increase your odds of getting the best AI investors on board.
Not all investors are created equal. Some specialize in pre-seed, others in enterprise AI, and some are better suited to niche verticals. Knowing who to approach is half the battle. Prioritize warm intros over cold emails whenever possible. Introductions from mutual contacts dramatically increase your chances of getting noticed.
Segment investors by check size, stage, and technical expertise.
Focus on investors who have a track record in your AI vertical. Relevance beats quantity every time.
Use OpenVC to quickly identify and prioritize investors who match your criteria.
A strong pitch deck tells a clear, compelling story without overloading investors with technical minutiae. Key sections to include:
Problem: What real-world challenge are you solving?
Solution: How your AI product uniquely addresses this problem.
Market: Size, growth trajectory, and adoption potential.
Technology: Proprietary models, data strategy, or defensible moats — explained clearly.
Traction: Early users, pilot programs, or revenue signals.
Business Model: Unit economics and monetization strategy.
How you approach investors can matter as much as what you present. A few tactical points:
Warm intros first: Investors are more responsive when referred by a trusted source.
Timing matters: Seed investors may engage differently than Series A funds.
Track responses and follow-ups: A fundraising CRM can help manage your pipeline.
🚀 Ready to raise? Here’s how OpenVC helps AI/ML founders like you:
🔥 Join OpenVC today for free and start connecting with top AI investors instantly.
Save investors, manage outreach, and run your fundraising in one platform.
OpenVC is a free startup fundraising platform that helps founders find the right investors and manage their entire raise. Search 20,000+ verified investors, including venture capitalists, angel investors, family offices, accelerators, and more. Build your target list, send your pitch deck, and track your pipeline all in one place.
Founders raise with OpenVC because it is designed to cut through the noise and get founders in front of the right investors, fast. With built-in tools for CRM, analytics, and warm intros, it helps you stay organized and improve your chances of getting a reply.
OpenVC is for early-stage startup founders who want to raise capital efficiently. Find investors from dozens of industries including SaaS, AI, fintech, biotech, and more. Whether you’re pre-seed, seed, or Series A, OpenVC helps you find and pitch aligned investors without paying intro fees, aimlessly cold-emailing, or scraping databases.
To start pitching investors on OpenVC, create a free account and submit your pitch deck directly through our startup funding platform. Investors receive a unique link to view your deck, and you get analytics on who opens it and how long they spend on it. No cold emails, no guesswork. For more info, check out our complete guide to fundraising on OpenVC.
Absolutely, OpenVC is designed for early-stage fundraising. You’ll find thousands of angel investors, pre-seed VCs, accelerators, incubators, and family offices who are actively backing startups across sectors and geographies. Use OpenVC’s filters to narrow your search and find the right investors for your startup.
Some examples of startups that successfully secured funding through OpenVC include Mobly (2.5M seed), Paxum ($1.2M seed), and Laennec AI ($400k pre-seed). OpenVC startups have gone on to raise more than $1 billion from top venture capital firms like YC, Sequoia, Google Ventures, and M12.
OpenVC was created by Stephane Nasser and Lucas Roquilly—two founders building tools to make startup fundraising more transparent and accessible. We launched OpenVC to help founders find investors, get replies, and raise smarter. The platform is bootstrapped, community-driven, and built with a lot of heart.
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