Angel Investors & Venture Capitalists in the Machine Learning Market
Angel Match offers a comprehensive database of investors specializing in the Machine Learning market. Connect with thousands of angel investors, venture capitalists, and private equity firms who focus on Machine Learning-related industries. Filter investors by their preferred location, investment stage, or type to find the perfect match for your business. Start your search today with Angel Match for free, or unlock advanced filtering options by subscribing.
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Ali Najafi
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Joseph Zanone
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Preston Noon
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Tom Gleason
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Jack Prescott
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Abhik Kumar
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Mark Kahn
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Rian Brennan
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Bradley Horowitz
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Michael Dulworth
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David Jones
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David Chan
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Canice Wu
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Suranga Chandratillake
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Nagraj Kashyap
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Tom Patterson
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Spencer Clawson
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Matthew Fuller
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Dean Sysman
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J.S. Gamble
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Tom Brooks
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Stuart Masters
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Alexander Viterbo-Horten
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Sig Mosley
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Jonathan Smith
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Krishna Visvanathan
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Sarah Seagraves
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Jeff Pomeranz
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Stuart Mayer
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Kulika Weizman
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Matt Smalley
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Steve Kafka
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Hart Callahan
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Justin Ernest
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Said Mohammadioun
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John Doran
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Jeongho Lee
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Heidi Roizen
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Anthony Schiller
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Kealan Doyle
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Laura Brady
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Jordan Braunstein
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Susan Roos
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John Harris
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Investor Data Snapshot
- 124,000+Total
investors - 81,000+Angel
investors - 50,000+Venture capital
investors - 44,000+Private equity
investors - 100+Countries
covered
Data reflects investors currently available in the Angel Match database and updates regularly.
These numbers help founders understand the overall size and coverage of the investor database.
How Angel Match Works
Angel Match helps founders save hundreds of hours by aggregating investor information into one place, allowing them to find the right investors in minutes instead of manually searching across multiple sources.

Search investors by location, funding stage, investment focus, and investor type

View investor profiles and past investments in one place

Save relevant investors to lists for fundraising

Start reaching out to investors to pitch their business
