Company lists · Data refreshed September 2026
Top 25 Machine learning investors based in San Francisco, United States
RevenueBase identified 76 machine learning investors headquartered in San Francisco, United States as of September 2026 and tracks 720 professional contacts across them, including 294 with verified work emails and 362 with mobile numbers. San Francisco is the largest hub.
This list covers machine learning investors headquartered in San Francisco, United States, matched on what each company actually does as described in its own words. Ranked by team size, largest first. Every row shows the company's own description, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 13, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase Smart Search, the natural-language company search RevenueBase customers use to build their own targeted lists and unlock verified emails and direct dials at the companies on them. How these lists are built and judged.
The 25 largest machine learning investors based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 87 contacts → | ||||
Indirect evidence “SignalFire is the first venture capital firm built like a technology company to better solve for the needs of founders.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 81 contacts → | ||||
Indirect evidence “SemperVirens is a San Francisco based venture capital firm investing in AI-native companies transforming the largest and most complex service markets in the economy: healthcare…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 50 contacts → | ||||
Indirect evidence “Fractional AI is focused on putting frontier AI to work.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 44 contacts → | ||||
Indirect evidence “A new kind of hedge fund built by a network of data scientists.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 5 | 40 contacts → | ||||
Strong evidence “Foresite Labs creates companies at the intersection of AI/machine learning and science.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 33 contacts → | ||||
Indirect evidence “Platform builds and funds AI-driven marketplaces.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 25 contacts → | ||||
Indirect evidence “Correlation Ventures is a new breed of venture capital firm, leveraging world-class AI to offer entrepreneurs and other venture capitalists a dramatically better option when they…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 24 contacts → | ||||
Indirect evidence “The seed fund designed for founders in AI.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 23 contacts → | ||||
Indirect evidence “thrv (pronounced "thrive") is an independent sponsor making investments in private technology companies.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 18 contacts → | ||||
Partial evidence “Built by founders, for founders |$200M seed investor in AI, B2B & enterprise startups | 100+ investments to date” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 17 contacts → | ||||
Indirect evidence “TRAC is upending traditional venture capital by using AI developed algorithms to identify the most promising companies likely to be future unicorns.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 12 | 11 contacts → | ||||
Indirect evidence “AI practitioners investing into AI powered companies” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 13 | 8 contacts → | ||||
Indirect evidence “We’re a venture capital firm investing in AI-powered B2B software companies at the early growth stages across the world.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 14 | 8 contacts → | ||||
Partial evidence “Applied AI data research lab encoding Human Expertise into Machines.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 15 | 8 contacts → | ||||
Indirect evidence “At Fetch.ai Innovation Lab, we lead the way in advancing artificial intelligence and driving innovation to create value at scale.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 16 | 8 contacts → | ||||
Indirect evidence “Progression is the TikTok alumni fund.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Indirect evidence “Founded in 2008, BootstrapLabs, an Ares company, is a leading Venture Capital firm based in Silicon Valley and focused on Applied Artificial Intelligence.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Indirect evidence “ContinuumLab is a pioneering venture firm focused on startup innovation, incubation, and investment.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 19 | 7 contacts → | ||||
Indirect evidence “Founded in 2024, Principal Venture Partners is a venture capital firm focused on identifying and nurturing the early stage, AI-native startups poised to become the next wave of…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 20 | 7 contacts → | ||||
Indirect evidence “Brainworks is a venture capital firm that leverages the latest AI technologies to invest in, operate, and scale native-AI companies that themselves use AI to address meaningful…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 21 | 7 contacts → | ||||
Indirect evidence “Generationship is an early-stage venture fund investing in technical female founders building software infrastructure for the AI platform shift.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 22 | 6 contacts → | ||||
Indirect evidence “Technology Early Stage Fund with a focus on "data and intelligence" at the core.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 23 | 6 contacts → | ||||
Indirect evidence “Founded in 2014, iSeed Ventures is a San Francisco-based venture capital firm with over $200M under management.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 24 | 6 contacts → | ||||
Indirect evidence “GenLab Venture Studios builds high-growth AI companies to accelerate the development of critical infrastructure.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 25 | 5 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
RevenueBase Smart Search
RevenueBase Smart Search assesses information from a company’s LinkedIn profile, information supplied directly by the company, its website, and other publicly available sources. It uses that information to rate how closely the company relates to this list’s category: machine learning investors. Every row carries its rating and the description the rating was read from, so each one can be checked rather than taken on trust.
- Strong evidence
- The company's own public description of its business names machine learning investors.
- Partial evidence
- Its own public description names part of machine learning investors, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning investors. The match rests on the rest of the company's public profile rather than the one sentence quoted here, so this is the rating to check first.
RevenueBase Smart Search is how these lists are built: RevenueBase's data engine and AI assemble the companies that match a category defined in a user's own words, so a list can be about what companies actually do rather than about whichever industry code they were filed under.
Showing 25 of 76 machine learning investors based in San Francisco, United States
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Machine learning investors based in San Francisco, United States at a glance
As of Sep 13, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 16.0dCompany record updated
Median 44.0dHow this list was built
Company categories are rarely black and white. RevenueBase reads each company's own description of its business to decide whether it belongs among machine learning investors, so some rows will be adjacent to the category rather than pure plays. The description and RevenueBase Smart Search rating on every row are there so you can check each match yourself.
- Source
- The RevenueBase company graph: 60 million companies and 398.9 million professional contacts resolved from primary sources, queried with RevenueBase Smart Search, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in San Francisco, United States whose own description of what they do matches “machine learning investors”. Matching reads each company's description, not its industry code or its name.
- RevenueBase Smart Search
- RevenueBase Smart Search is how this list is assembled and how each row is rated. RevenueBase's data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to a category defined in a user's own words. Each row is rated strong evidence (its own description names machine learning investors), partial evidence (it names part of the category) or indirect evidence (the description shown names none of it and the match rests on the rest of the company's profile). The description supporting each rating is quoted on the row.
- What we exclude
- Companies whose own description does not clearly place them among machine learning investors, and records with no verified work email. Companies headquartered outside San Francisco are excluded even when they keep an office there.
- Match quality
- In blind human judging of this matching method, 86% of matched companies were on target. Expect roughly 1 in 7 rows to be adjacent to the category rather than a pure play. Every row shows the company's own description and its RevenueBase Smart Search rating so you can judge each match yourself. Read the full methodology: how the lists are built, how the judging worked, and what the figure means.
- Ranking
- Team size, largest first: companies are ordered by the number of professionals RevenueBase tracks at each one. Employee ranges shown are reported bands, for context.
- Verification
- Every listed company carries at least one verified work email, 294 across the full list. Contacts re-verify on a rolling cadence, and each contact's own verification date is shown inside RevenueBase.
- Refresh
- This page's figures were pulled from the company graph on September 13, 2026. Lists refresh periodically as the graph is re-checked.
- Corrections
- Wrong category, wrong headquarters, or a company that has closed? Use “Report an issue” on any row. Reports go to the RevenueBase Data Team and feed back into the company graph.
Machine learning investors by metro in the United States
- Machine learning investors in San Francisco44
Frequently asked
What is RevenueBase Smart Search?
RevenueBase Smart Search is how RevenueBase decides which companies belong on this list and how strongly each one fits. Its data engine and AI assess a company's LinkedIn profile, information supplied directly by the company, its website and other publicly available information, then relate it to the category the list is about. Each row is rated strong evidence when the company's own description names machine learning investors, partial evidence when it names part of the category, and indirect evidence when the description shown names none of it and the match rests on the rest of the company's profile.
How many machine learning investors are there based in San Francisco, United States?
RevenueBase identified 76 machine learning investors headquartered in San Francisco, United States as of September 2026, matched on each company's own description of what it does rather than its industry code.
What is the largest company on this list?
Signalfire, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most machine learning investors?
San Francisco leads with 44 headquartered companies, followed by New York (17) and Los Angeles (9).
How do I get contact information for these companies?
A free RevenueBase account lets you run this exact search and work the top results, verified emails and direct dials included. Upgrading unlocks all 294 verified decision-maker contacts tracked across these 76 companies.
How current is this list?
The list refreshes periodically as the company graph is re-checked. This page's figures were pulled on September 13, 2026.
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About this data
RevenueBase is a B2B data infrastructure company. Its company graph covers 60 million companies and 398.9 million professional contacts, with emails verified on a rolling cadence rather than scraped once and left to decay. These company lists are generated directly from that graph with RevenueBase Smart Search, the same natural-language company search every RevenueBase user has: describe a market in plain words, get the companies that match, and add verified emails and direct dials for the people at them. It is the same data that powers RevenueBase's B2B data products, and a free account includes 500 credits to start. How these lists are built and judged.
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