Explore active artificial intelligence venture capital investors by stage, thesis, and check sizes. This directory highlights fund sizes, recent filings, and sector focus to help you prioritize investor outreach and improve match quality.
Complete database of 32 venture capital funds investing in artificial intelligence startups. Find the right investor with $30B in combined assets under management.
The artificial intelligence venture capital ecosystem has reached unprecedented scale, with 32 specialized funds managing $30B in assets.Investment activity has shown 39% growth year-over-year, reflecting strong investor confidence in the sector's long-term prospects.
In 2026, artificial intelligence startups attracted $9Bacross 234 funding rounds, with the average fund size reaching$275M. This represents a maturing ecosystem where specialized funds are increasingly focusing on vertical-specific expertise.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
Investing in revolutionary artificial intelligence companies that are transforming industries through innovative technology and scalable business models.
There are 32 active VC funds specializing in artificial intelligence investments, managing a combined $30B in assets under management. This represents one of the largest concentrations of specialized capital in the venture ecosystem, with funds ranging from $50M micro-funds to $2B+ growth-stage vehicles. The sector has attracted significant institutional capital due to its39% growth trajectory and strong exit potential.
Artificial Intelligence startups raise an average of $10M in Series A funding, with typical ownership ranging from 15-28%. This is above the cross-industry average due to the capital-intensive nature of many artificial intelligence business models and longer development cycles. Series B rounds average $31M, reflecting the sector's ability to scale efficiently once product-market fit is achieved.
Top-performing artificial intelligence VCs have generated 5x average returns average returnsover the past decade, with the best funds creating 8 unicorn companies. Leading funds like Artificial Intelligence Ventures A have demonstrated consistent performance through multiple market cycles, combining deep domain expertise with extensive portfolio support. Success rates for Series A investments reach 82% among top-quartile funds.
The typical artificial intelligence funding process takes 4-6 months, from initial pitch to signed term sheet. This includes 2-4 weeks for initial screening, 4-8 weeks for due diligence, and 2-4 weeks for final negotiations and documentation. Artificial Intelligence startups often require longer diligence periods due to technical complexity and regulatory considerations, but experienced sector-focused VCs can move faster due to their domain expertise.
Top artificial intelligence VCs prioritize technical differentiation, large addressable markets, and experienced teamswith deep domain knowledge. They look for startups that can demonstrate clear competitive moats, scalable business models, and strong early customer traction. Regulatory compliance, intellectual property position, and go-to-market strategy are particularly important in artificial intelligence. The best VCs also value founders who can articulate long-term vision and have the technical depth to execute complex roadmaps.
Yes, artificial intelligence VCs deployed $9B in 2026across 234 transactions, showing continued strong appetite for quality deals. While overall VC activity has normalized from peak 2021 levels, artificial intelligence remains a priority sector for most institutional investors. Hot subsectors include AI-powered artificial intelligence, Next-gen artificial intelligence platforms, Enterprise artificial intelligence solutions, which are seeing particularly strong investor interest and premium valuations.
Last updated: 4/12/2026 | Data aggregated from 32 VC funds, 234 deals, and 39 successful exits |About our methodology