Company lists · Data refreshed September 2026
Top 21 Machine learning biotech companies based in San Francisco, United States
RevenueBase identified 53 machine learning biotech companies headquartered in San Francisco, United States as of September 2026 and tracks 1,635 professional contacts across them, including 930 with verified work emails. San Francisco is the largest hub.
This list covers machine learning biotech companies 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, how directly it supports the match, and when it was last checked. Data refreshed September 4, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, 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 21 largest machine learning biotech companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 839 | ||||
“We are rebuilding biotech for the AI era.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 2 | 196 | ||||
“Recognized as the 'Most Innovative Biotech Company, 2024', by Fast Company!” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 3 | 155 | ||||
“AI-powered data and market intelligence solutions - We leverage AI to transform clinical trial data and market intelligence into actionable insights to accelerate pharma…” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 4 | 55 | ||||
“Brightseed is a pioneer in biosciences and artificial intelligence (A.I.) that illuminates nature to restore human health.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 5 | 51 | ||||
“AI-powered drug discovery platform for rapid molecule screening and testing, from target identification to lab validation.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 6 | Verge LabsIndirect evidence | 37 | |||
“Verge Labs is a frontier AI lab building world models of human disease biology.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 7 | 31 | ||||
“Atomwise is a preclinical pharma company revolutionizing how drugs are discovered with AI.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 8 | 27 | ||||
“Chai Discovery builds the computer-aided design suite for molecules.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 9 | 22 | ||||
“At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 10 | SynthexPartial evidence | 20 | |||
“SyntheX is a biotech company advancing precision drug discovery through synthetic biology.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 11 | 20 | ||||
“Outdefine builds The Clinical Trial Decisioning System for healthcare and life sciences teams.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 12 | 13 | ||||
“To be the most innovative global healthcare company combining AI-enabled technology and science to deliver the best and most up-to-date personalised healthcare solutions to…” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 13 | 13 | ||||
“Revolutionizing therapeutic drug discovery through advanced CRISPR gene-modulation and AI” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 14 | SANAIIndirect evidence | 12 | |||
“Sanai is a AI-mediated SaaS platform specifically targeting life-science operations and development.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 15 | Tamarind BIOIndirect evidence | 11 | |||
“At we provide web interfaces and APIs for the leading publicly available molecular design tools.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 16 | 10 | ||||
“We are an AI-research lab building a complete network for biologics discovery and development.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 17 | JunevityPartial evidence | 9 | |||
“Junevity is a biotechnology company resetting gene networks with siRNA for age-related diseases.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 | ||||
“Datum is a pharma and biomedical knowledge platform for healthcare application and research, with initial focus on building trustworthy and reliable AI for precision medicine and…” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 19 | Orbits OncologyIndirect evidence | 5 | |||
“Orbits Oncology is bringing patient insights into the heart of early cancer drug development and personalized medicine.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 20 | Magnet VenturesPartial evidence | 2 | |||
“Magnet Venture We invest in AI-enabled biotechnology and help scientists and innovators to build successful enterprises in digital biology and digital healthcare.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
| 21 | 2 | ||||
“Daptics provides adaptive analytics to drive efficiency and reduce costs in your research, incorporating machine learning into your high throughput experimental explorations.” Source: company website · checked Sep 4, 2026Thanks. The Data Team will review it. | |||||
Showing 21 of 53 machine learning biotech companies based in San Francisco, United States
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Machine learning biotech companies based in San Francisco, United States at a glance
As of Sep 4, 2026Companies by employee count
Email recency for this list is measured across the whole United States list rather than this city, so it is reported there. Company counts and contact totals on this page are exact for San Francisco, over 53 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 biotech companies, so some rows will be adjacent to the category rather than pure plays. The description and evidence 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 SmartSearch, 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 biotech companies”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among machine learning biotech companies, 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 an evidence 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, 930 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 4, 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 biotech companies by metro in the United States
- Machine learning biotech companies in San Francisco53
- Machine learning biotech companies in Cambridge51
- Machine learning biotech companies in Boston43
- Machine learning biotech companies in New York41
- Machine learning biotech companies in San Diego26
Frequently asked
How many machine learning biotech companies are there based in San Francisco, United States?
RevenueBase identified 53 machine learning biotech companies 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?
Benchling, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most machine learning biotech companies?
San Francisco leads with 53 headquartered companies, followed by Cambridge (51) and Boston (43).
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 930 verified decision-maker contacts tracked across these 53 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 4, 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 SmartSearch, 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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