23 VCs and 2 funds investing in Machine Learning
Partner
Khosla Ventures
Check: No personal check range is published. Khosla's Seed Fund supports science and business-model experiments, historically often with roughly $1M–$2M according to a 2020 firm interview, while its Main Fund covers early through later stages. These are firm-level references, not Alex's authority.
Alex invests where computation, biology, and healthcare converge. His scientific and clinical background supports a systems view of biomarker discovery, therapeutics, diagnostics, personalized medicine, neurotechnology, connected devices, and AI-enabled care. He favors important health outcomes and technologies that can automate expensive or inconsistent processes, increase access, and create reproducible, lower-cost care—not science detached from delivery and economics.
Investor
First Round Capital
Check: First Round's published firm-wide initial checks are typically $1M–$7M, averaging about $3.5M; it has participated in rounds from $100K to $20M. No personal range or signing authority is published for Maggie.
Maggie's documented lens is research depth: she respects founders who do the work required to understand a problem at first principles and prefers to dig alongside them. Her technical background in signal processing, deep learning, automated pricing, and fraud detection makes AI/ML systems and technically demanding software natural areas of fluency; First Round has not published a personal portfolio or narrower standalone thesis for her.
Managing Partner
Y Combinator
Check: YC's live standard deal is $500K per accepted company: $125K on a post-money SAFE for 7% plus $375K on an uncapped MFN SAFE, with a participation right. This is YC's standardized program deal, not Diana's personal check range.
Diana works with technical founders building frontier AI, robotics and hard technology. Her Escher Reality and Niantic experience combines zero-to-one infrastructure with deployment at consumer scale, producing a lens that looks for a real engineering unlock, a specific high-value workflow, fast technical iteration and a product path that turns research capability into something users can adopt.
Chief of Staff
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Leah Mitchell is listed in a Chief of Staff capacity at Differential Ventures. The firm does not publish a person-specific investment thesis for this role; this profile preserves that role distinction and uses the firm's mandate only as shared context.
Partner
ParaFi Capital
Check: No personal venture check range is disclosed. Kevin leads quantitative strategies and technology development inside a multi-strategy manager spanning public and private markets; founders should not infer a standard venture ticket or sole decision authority from the Partner title.
Kevin approaches digital assets as both a quantitative portfolio manager and a systems builder. His remit joins non-directional and fundamental market strategies with production technology, while his public discussions cover stablecoin risk, institutional adoption and the engineering of blockchain infrastructure. The through-line is measurable market behavior, robust implementation and portfolio construction rather than a venture-only mandate.
Venture Partner
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Allen Duan invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Chief Financial Officer
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Lloyd Appel is listed in a Chief Financial Officer capacity at Differential Ventures. The firm does not publish a person-specific investment thesis for this role; this profile preserves that role distinction and uses the firm's mandate only as shared context.
Operating Partner
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Jeremy Kirsch invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Managing Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Geoff Harris invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Managing Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Heather Redman invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Managing Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Frank Chang invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Venture Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Heather Gorham invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Principal
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Tiffany Linke-Boyko invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Managing Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Adriane Brown invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Chief Financial Officer
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Tri Tran is listed in a Chief Financial Officer capacity at Flying Fish Ventures. No person-specific investment thesis is published for this role; the firm's mandate is included only as shared context.
Chief of Staff
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Malyun Abdullahi is listed in a Chief of Staff capacity at Flying Fish Ventures. No person-specific investment thesis is published for this role; the firm's mandate is included only as shared context.
Venture Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Lisa Nelson invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Venture Partner
Flying Fish Ventures
Check: Flying Fish Ventures does not publish a standard current check-size range on its official site.
Vanessa Pegueros invests or supports investments through Flying Fish Ventures's published strategy: Partner at pre-seed and seed with founders using AI and machine learning to build foundational infrastructure, applied intelligence and hard-science companies.
Managing Partner
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Nick Adams invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Managing Partner
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
David Magerman invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Principal
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Tom Driscoll invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Associate
Differential Ventures
Check: $250K-$3M initial investments, as published by Differential Ventures.
Tina Vinod invests or supports investments through Differential Ventures's published strategy: Back data-centric B2B founders at pre-seed and seed building applied AI, machine-learning, engineering and infrastructure products with responsible data practices.
Partner
Khosla Ventures
Check: Not publicly disclosed. Khosla Ventures uses a Seed Fund for experiments and a Main Fund for early-to-later rounds, including financings above $10M in total round size; round size is not the firm's or Jon's check size.
Jon focuses on how machine learning reshapes the full enterprise stack: core infrastructure, developer tools, and end-user applications. His experience as an early Palantir engineer, infrastructure founder, Docker enterprise leader, growth product executive, core-ML engineering head, and Meta VR/ML leader creates a technical-operator lens on platform adoption and scale. He pairs that with Khosla's preference for proprietary advantages, large markets, fast risk retirement, and category creation.