DryPowder

171 AI & Machine Learning Investors — 157 Currently Deploying

Updated

171
Total funds
157
Currently deploying
92%
Deployment rate
$25K–$250M
Typical check range

Funds (171)

Boost VC
● Deploying$500K–$500KSan Francisco

Invest first in founders making mutants a reality by reimagining the universe. Generalist investors backing companies that make 1 billion lives better through bold bets in deep tec

Bee Partners
● Deploying$300K–$500KSan Francisco

Bee Partners backs radical technical founders at inception (pre-product, pre-revenue) with conviction-first capital. They invest in AI supercycle futures, enterprise AI agents, har

Y Combinator
● Deploying$500K–$2MSan Francisco

YC turns builders into formidable founders by providing structured mentorship, funding, and network access during a 12-week batch program. The program transforms early-stage teams

South Park Commons
● Deploying$250K–$1MSan Francisco

South Park Commons helps talented technologists and founders turn 'illegible into the inevitable' by providing a home for figuring out what's next, transitioning from -1 to 0 (pre-

Kleiner Perkins
● Deploying$500K–$25MSan Francisco

Kleiner Perkins partners with visionary founders to build transformative companies that change how the world works. The fund emphasizes team building, network facilitation, and bus

Cervin Ventures
● Deploying$500K–$5MPalo Alto

Partner with product visionaries in enterprise infrastructure, cloud software, AI, and data infrastructure sectors by providing strategy, network access, and customer introductions

Caffeinated Capital
● Deploying$500K–$5MSan Francisco

Caffeinated offers founders pursuing their life's work an alternative to the hype cycle through long-term thinking, supporting category-defining companies across all sectors that w

Uncork Capital
● Deploying$250K–$2MSan Francisco

Uncork invests early in founder potential and AI-native companies creating leverage and unlocking scale before conviction is obvious.

AngelPad
● Deploying$100K–$250KSan Francisco

Seed-stage accelerator focusing on intensive 3-month programs with small cohorts (15 companies per cycle) to help founders achieve product-market fit, market validation, and fundra

Operator Collective
● Deploying$250K–$2.5MSan Francisco

Operator Collective is an early-stage B2B venture firm that connects founders to exceptional enterprise operators, believing companies succeed because of the people who build them.

Basecase Capital
● Deploying$1M–$5MSan Francisco

Write the first check to builders who are still dreaming, tinkering, and exploring what they want to create. Work with founders pre-product, pre-traction, and often pre-idea.

True Ventures
● Deploying$250K–$2MSan Francisco

Accelerating AI-native founders at the earliest stages. Lead early rounds in companies and founders building the future, providing that first check before others think you're onto

Footwork
● Deploying$1M–$15MSan Francisco

Lead and co-lead Series A and Seed rounds in companies with early signs of product-market fit, focusing on consumer technology and consumerization of enterprise technology.

Concept Ventures
● Deploying$250K–$1.5M

Europe's largest pre-seed fund focused on backing founders with conviction at the concept stage, tailoring support based on founder experience level (first-time vs repeat founders)

BOLDstart Ventures
● Deploying$250K–$5MSan Francisco

Partner with bold technical founders from inception, before product or first check, backing AI-native infrastructure, security, apps, and models to build the autonomous enterprise.

Aspira Capital Management
● Deploying$250K–$2MNew York

Empowering historically excluded founders with capital, mentorship, and networks to build scalable companies in Fintech, SaaS, AI, Logistics, and Healthcare, leveraging 25+ years o

M13
● Deploying$500K–$10MLos Angeles

Early-stage venture capital firm investing in visionary founders building disruptive software businesses, offering full-stack partnership with operational support to help scale eff

Crosscut Ventures
● Deploying$250K–$2MLos Angeles

Partnering with early-stage companies developing cutting-edge frontier technologies to address the world's most pressing problems, with focus on energy transition, decarbonization,

Mendoza Ventures
● Deploying$25K–$250KBoston

Invests in technology companies in financial services, insurance, and manufacturing where there is opportunity for modernization, innovation, and disruption, with focus on AI, Cybe

Argon Ventures
● DeployingSan Francisco

Pre-seed venture fund leading investments in Intelligent Industry Solutions, focused on AI-led innovation that delivers radical productivity, industrial efficiency through percepti

Point72 Ventures
● Deploying$500K–$10MNew York

Thematic-driven investors backing ambitious founders building for big outcomes across critical domains (AI, Consumer, Defense Tech) from seed to pre-IPO, bringing deep sector insig

Primary Venture Partners
● Deploying$250K–$2MSan Francisco

We back founders building things the world hasn't seen yet, at the moment before the world believes. We are a specialized and scaled seed fund designed to actually deliver with dee

Lux Capital
● Deploying$500K–$25MNew York

Turn sci-fi into sci-fact by championing companies at the intersection of the new and not-yet-imagined, looking decades into the future to create a world most can barely imagine.

Amplify Partners
● Deploying$500K–$3MSan Francisco

Amplify invests in technical founders building the next generation of applications, models, tools, and infrastructure. For almost 15 years they have been the first investor and par

Khosla Ventures (Seed)
● Deploying$500K–$50MSan Francisco

Bold, early, impactful ventures with brutal honesty. Believe in world-class teams making contrarian bets on impossibly big ideas, from AI to cleantech to deep tech.

Calibrate Ventures
● Deploying

Calibrate partners with elite technical founders to turn deep tech breakthroughs (AI, computer vision, autonomy, robotics) into scalable commercial advantages across transportation

Treble Capital
● Deploying$50K–$500KSan Francisco

Support audacious entrepreneurs building consumer technology that transforms how billions experience the world through connectivity, convenience, entertainment and empowerment, inv

NFX
● Deploying$250K–$2MSan Francisco

NFX identifies and backs founders building companies with network effects. The fund emphasizes software development, founder support through content/tools, and emerging technologie

Jump Capital
● DeployingChicago

Jump Capital backs early-stage founders chasing the leapfrog moments AI is creating across industries. The fund positions itself as an active operator partner providing deep expert

Ardent Venture Partners
● Deploying

We partner with founders building pioneering AI-native companies before the category exists, leading pre-seed and seed rounds for AI-native companies before market consensus, backe

Transpose Platform
● Deploying$250K–$2M

An early-stage venture platform backing frontier founders and platform funds that accelerate category-defining companies. First-check investors to top funds and founders through me

Atomic
● DeployingSan Francisco

Atomic functions as a co-founder replacement, providing serial entrepreneurs, specialist teams, and resources to de-risk company building and accelerate time to market while founde

Haystack
● Deploying$25K–$500KSan Francisco

Backing outlier founders at the earliest stages.

Compound
● Deploying

Compound invests in deep technology across AI/ML, robotics, biology, crypto, and company building. Focus on frontier tech with venture-scale commercial potential and narrative-driv

Storm Ventures
● Deploying$500K–$10MSan Francisco

Early stage B2B-focused venture firm specializing in building enterprise leaders through disruptive B2B AI software investments in enterprise infrastructure, cybersecurity, and rel

Madrona Venture Group
● Deploying$500K–$15MSeattle

Active, full-stack partners backing founding teams at seed, early, and acceleration stages who turn improbable ideas into inevitable, transformational businesses.

NGP Capital
● Deploying

The physical and digital worlds are merging, unlocking breakthroughs that reshape how we live and work. NGP Capital backs early-stage B2B companies driving this 'Great Convergence'

Neo
● Deploying$40K–$750KSan Francisco

Neo invests in people and the next generation of founders through pre-seed/seed funding, a startup residency program, and a diverse mentorship community. The fund believes in suppo

Insight Partners
● Deploying$5M–$250MNew York

Insight Partners scales ambition at every stage through software expertise, operating excellence, talent networks, and flexible capital across 30+ years, supporting 800+ companies

Inception Studio Capital
● Deploying$100K–$1.5MSan Francisco

Experienced founders (particularly serial/exit founders) win 22x more often. Zero-equity retreats attract elite repeat founders who avoid traditional accelerators, enabling first-m

Charge Ventures
● Deploying$250K–$750KNew York

Partner with exceptional founders at the very inception of their entrepreneurial journey, focusing on pre-seed and seed stage investments with a data-driven approach across non-tra

EQT Ventures
● Deploying$235K–$5.9MLuxembourg

Partner with Generation-Defining Company founders building ambitious, game-changing businesses. Provide early-stage lead investment, operational advice, and platform support to hel

Unusual Ventures
● Deploying$500K–$4MSan Francisco

The product-market fit partner for technical enterprise founders, turning product-market fit from improbable to inevitable through proprietary playbook and methodology.

Pear VC
● Deploying$250K–$2MSan Francisco

Specialists in pre-seed and seed investing, founded by operators who have built and scaled companies. Provide hands-on support through recruiting, GTM coaching, fundraising assista

Global Brain
● Deploying$380K–$380KTokyo

Global Brain brings new industries to society through extensive hands-on support for startups and open innovation with large corporations, helping them scale globally.

Techstars Ventures
● Deploying$100K–$2MDenver

Techstars helps founders scale startups into world-changing businesses through a 3-month mentorship-driven accelerator program, capital investment, and access to a global network o

DN Capital
● Deployingup to $2.4MLondon

Early-stage venture firm backing category leaders in Software, AI, Fintech and Consumer Internet across Europe and North America through rigorous investment, hands-on partnership,

Javelin Venture Partners
● Deploying$500K–$4M

Invest capital and operational expertise to build transformational companies by backing dynamic founders with unique ideas at signal-before-traction stage ($500K-$4M checks into la

Weekend Fund
● Deploying$200K–$500KSan Francisco

Early-stage consumer and B2B investing with founder-led support through product, community building, and GTM alongside an LP collective of 400+ founders and operators.

Nauta Capital
● Deploying$125K–$625K

We support visionary founders across Europe as they build the next generation of B2B software companies. We invest early in B2B software companies with an operating product, even i

Mercury Fund
● Deploying$250K–$2MTexas

Early-stage VC investing in disruptive AI and Blockchain startups outside Silicon Valley, anchored in Texas and Central U.S., leading Seed and Series A rounds in capital-efficient

Institutional Venture Partners
● Deploying$500K–$5MSan Francisco

Back exceptional companies with substance and soul, converting momentum into market dominance through five decades of experience and institutional support.

WaterTower Ventures
● Deploying$500K–$5M

First-check capital for founders from founders. More than an investor, building real relationships with people transforming the world through operational experience and network act

Kima Ventures
● Deploying$150K–$150KParis

Back 2 startups per week with $150k checks across any stage, deal size, and sector. Described as 'the most active business angel in the world' investing in early-stage companies.

Scribble Ventures
● Deploying$750K–$1.5MSan Francisco

Back the world's best AI native founders at pre-seed and seed stages with product and go-to-market expertise from OpenAI, Meta, Twitter, and a16z to help them reshape the world.

Craft Ventures
● Deploying$500K–$25MSan Francisco

We are senior operators and former founders who help build great companies through winning playbooks and access to senior talent. We are leaders in B2B technology investing with pr

Founder Collective
● Deploying$25K–$500KSan Francisco

We're aligned with founders for the long haul, investing at the earliest stages with sector-agnostic conviction in exceptional entrepreneurs. We believe in founder alignment, early

OMERS Ventures
● Deploying$500K–$5MToronto

Invest in early stage technology founders building solutions for a better tomorrow. Help founders build great companies.

RLC Ventures
● Deploying$250K–$1.5M

Europe's largest pre-seed fund backing founders with conviction from concept stage. Invests up to $1.5m in first rounds, tailoring support for first-time and repeat founders withou

Focal VC
● Deploying$500K–$1M

Pre-seed lead investor backing product-focused software, platform, and infrastructure builders from 0 to 1 with concentrated strategy and hands-on operator support to reach Series

Showing top 60 of 171find your best matches →

Which of these AI & Machine Learning funds actually fits your startup?

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Frequently asked questions

How many ai & machine learning investors are actively deploying right now?

DryPowder tracks 171 ai & machine learning funds. Of these, 157 are currently deploying capital based on recent fund closes, portfolio activity, and partner signals. Use DryPowder's fund matching to see which ones fit your specific startup.

What check size do ai & machine learning VCs write?

Among 171 ai & machine learning funds on DryPowder, check sizes run from $25K–$250M. Ranges vary by fund size, vintage, and whether the fund leads rounds. Each fund profile shows check size detail and lead preference.

How do I get a meeting with a ai & machine learning VC?

A warm intro is still the fastest path. Most ai & machine learning VCs on DryPowder do accept cold outreach or direct applications, but response rates vary widely by fund. Before reaching out, use DryPowder's AI matching to get a fit score and specific talking points. Founders who lead with thesis-aligned framing get significantly better response rates than those sending the same deck to every fund on a list.

What do ai & machine learning VCs look for beyond a good deck?

Most ai & machine learning investors evaluate three things before reading your deck in detail: your background in the space, whether they have seen the problem from multiple portfolio companies, and whether anyone they trust vouches for you. After that, the deck needs to show market size, a clear problem-solution fit specific to ai & machine learning, and early evidence of customer demand. Thesis alignment matters more in ai & machine learning than in generalist investing because these funds see a high volume of pitches in the same space.

How many ai & machine learning investors should I be talking to at once?

Most fundraisers recommend a parallel process: identify 20-40 target investors but approach your highest-fit funds first. Of the 157 ai & machine learning funds currently deploying, not all will match your specific stage and sector. Use fund matching to find your top 10-15, approach those first, collect feedback, then go wider. Going to every fund simultaneously without qualifying first burns bridges and dilutes the urgency that helps close a round.

How is DryPowder different from building a VC list on LinkedIn or Crunchbase?

The fund list you build on LinkedIn or Crunchbase is roughly the same list every other founder is building. DryPowder adds three things a manual search cannot: deployment signals (which funds have recently closed new vehicles and are actively writing checks), AI thesis matching (which of the 171 ai & machine learning funds actually fits your specific startup, ranked by fit), and verified partner contact details. The goal is 15 targeted, thesis-aligned pitches instead of 150 generic ones.

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