Company lists · Data refreshed September 2026
Top 25 Machine learning research organizations based in San Francisco, United States
RevenueBase identified 101 machine learning research organizations headquartered in San Francisco, United States as of September 2026 and tracks 1,202 professional contacts across them, including 204 with verified work emails. Across the United States, San Francisco is the largest hub for this category.
This list covers machine learning research organizations 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 28, 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 research organizations based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 119 contacts → | ||||
Indirect evidence “Shipd is the platform where exceptional individuals are paid to solve problems that stump the best foundation models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 61 contacts → | ||||
Indirect evidence “At Aligned, we believe that as AI models become more sophisticated, deep subject-matter expertise becomes essential to push the frontier of AI performance and ensure these systems…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 54 contacts → | ||||
Strong evidence “An open source machine learning framework that accelerates the path from research prototyping to production deployment.” Source: RevenueBase Database · checked Sep 28, 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 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 43 contacts → | ||||
Partial evidence “At Databricks AI Research, we believe that all organizations should have access to state-of-the-art data + AI capabilities.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 40 contacts → | ||||
Strong evidence “Foresite Labs creates companies at the intersection of AI/machine learning and science.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 38 contacts → | ||||
Partial evidence “Epoch AI is a multidisciplinary research institute investigating the trajectory of Artificial Intelligence (AI).” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 33 contacts → | ||||
Strong evidence “We're a team of researchers who've left the big labs to focus on understanding machine intelligence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 29 contacts → | ||||
Indirect evidence “Essential AI is on a mission to make frontier AI more accessible through an open, collaborative platform.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 26 contacts → | ||||
Partial evidence “Gimlet Labs is an applied research lab dedicated to building next-generation AI infrastructure.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 24 contacts → | ||||
Indirect evidence “Leading independent analysis of AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 23 contacts → | ||||
Indirect evidence “Building the modern, human-centric ML/AI infrastructure stack.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 21 contacts → | ||||
Partial evidence “Abundant is an applied research lab building the simulation engine for superintelligence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 19 contacts → | ||||
Partial evidence “Transluce is an independent research lab that builds open, scalable technology for understanding AI systems and steering them in the public interest.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 17 contacts → | ||||
Indirect evidence “From San Francisco to London to Taipei, we've hosted workshops for 500+ students, helped write our university's AI policy, and run hackathons that actually ship long-lasting…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 9 contacts → | ||||
Partial evidence “Grably is a data research lab that focuses on high-signal multimodal human interaction data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Partial evidence “d_model is a fundamental AI research lab partnering with frontier labs to turn their models into capable interpretability and alignment researchers.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 8 contacts → | ||||
Strong evidence “Applied AI data research lab encoding Human Expertise into Machines.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 7 contacts → | ||||
Strong evidence “Eventum.ai is a machine learning consulting agency.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 7 contacts → | ||||
Strong evidence “Discover, build and share what you've made with machine learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 6 contacts → | ||||
Partial evidence “SID is an AI research lab based in San Francisco.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 5 contacts → | ||||
Indirect evidence “Taut is a team of computer scientists, neuroscientists, mathematicians and engineers from Caltech, Berkeley, and UCLA.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 5 contacts → | ||||
Strong evidence “Machine learning will transform any area of life that has abundant data and easily measurable objectives.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 5 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 28, 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 research organizations. 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 research organizations.
- Partial evidence
- Its own public description names part of machine learning research organizations, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning research organizations. 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 101 machine learning research organizations based in San Francisco, United States
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Machine learning research organizations based in San Francisco, United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than for San Francisco, so it is reported there. Company counts and contact totals on this page are exact for San Francisco, over 101 companies.
How 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 research organizations, 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 research organizations”. 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 research organizations), 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 research organizations, 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, 204 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 28, 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 research organizations by metro in the United States
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 research organizations, 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 research organizations are there based in San Francisco, United States?
RevenueBase identified 101 machine learning research organizations 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?
SHIPD, headquartered in San Francisco, tops this list with the largest team on record.
Which city in the United States has the most machine learning research organizations?
San Francisco leads the United States with 101 headquartered companies, followed by New York (37) and Palo Alto (21).
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 204 verified decision-maker contacts tracked across these 101 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 28, 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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