Company lists · Data refreshed September 2026
Top 25 Machine learning drug development companies based in San Francisco, United States
RevenueBase identified 54 machine learning drug development companies headquartered in San Francisco, United States as of September 2026 and tracks 1,294 professional contacts across them, including 809 with verified work emails. Across the United States, San Francisco is the largest hub for this category.
This list covers machine learning drug development 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, 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 drug development companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 839 contacts → | ||||
Indirect evidence “We are rebuilding biotech for the AI era.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 51 contacts → | ||||
Partial evidence “AI-powered drug discovery platform for rapid molecule screening and testing, from target identification to lab validation.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 39 contacts → | ||||
Strong evidence “At Weave Bio, we’re building the backbone for modern drug development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 37 contacts → | ||||
Indirect evidence “Verge Labs is a frontier AI lab building world models of human disease biology.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 31 contacts → | ||||
Partial evidence “Atomwise is a preclinical pharma company revolutionizing how drugs are discovered with AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 27 contacts → | ||||
Indirect evidence “Chai Discovery builds the computer-aided design suite for molecules.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 22 contacts → | ||||
Partial evidence “At Atomic AI, we build artificial intelligence to pioneer new frontiers in drug discovery.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 20 contacts → | ||||
Indirect evidence “The scientific decision engine for R&D.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 20 contacts → | ||||
Partial evidence “SyntheX is a biotech company advancing precision drug discovery through synthetic biology.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 16 contacts → | ||||
Indirect evidence “VeriSIM Life is building AI enabled biosimulation models.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 13 contacts → | ||||
Partial evidence “Revolutionizing therapeutic drug discovery through advanced CRISPR gene-modulation and AI” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 12 contacts → | ||||
Partial evidence “Sanai is a AI-mediated SaaS platform specifically targeting life-science operations and development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 10 contacts → | ||||
Partial evidence “We are an AI-research lab building a complete network for biologics discovery and development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 9 contacts → | ||||
Indirect evidence “Junevity is a biotechnology company resetting gene networks with siRNA for age-related diseases.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 9 contacts → | ||||
Indirect evidence “Syntensor is building software that converts large biological datasets into decisions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 9 contacts → | ||||
Strong evidence “Herophilus is a San Francisco based neurotherapeutics development company that employs AI-driven phenotypic screening to discover and develop novel drugs for complex brain…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 7 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 7 contacts → | ||||
Indirect evidence “ScienceMachine is an AI automation platform for regulated pharmaceutical research, helping streamline the manual, time-consuming work that slows it down.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 5 contacts → | ||||
Indirect evidence “Leap Laboratories builds software that enables the new scientific method: data-first discovery.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 5 contacts → | ||||
Strong evidence “Orbits Oncology is bringing patient insights into the heart of early cancer drug development and personalized medicine.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 4 contacts → | ||||
Indirect evidence “AI platform accelerating therapeutic discovery, turning sci-fi into reality by building the future of medicine in silico, without clinical trials.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 3 contacts → | ||||
Indirect evidence “ExcepGen is a venture-backed, early stage biotechnology company located in San Francisco.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 3 contacts → | ||||
Indirect evidence “SieveStack is developing foundational models that unlock insights beyond traditional lab experiments.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 3 contacts → | ||||
Strong evidence “AI-accelerated quantum chemistry for rapid drug development.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 2 contacts → | ||||
Strong evidence “Daptics provides adaptive analytics to drive efficiency and reduce costs in your research, incorporating machine learning into your high throughput experimental explorations.” 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 drug development companies. 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 drug development companies.
- Partial evidence
- Its own public description names part of machine learning drug development companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning drug development companies. 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 54 machine learning drug development companies based in San Francisco, United States
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Machine learning drug development companies 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 54 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 drug development companies, 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 drug development companies”. 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 drug development companies), 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 drug development 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 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, 809 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 drug development companies 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 drug development companies, 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 drug development companies are there based in San Francisco, United States?
RevenueBase identified 54 machine learning drug development 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 in the United States has the most machine learning drug development companies?
San Francisco leads the United States with 54 headquartered companies, followed by Boston (49) and Cambridge (45).
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 809 verified decision-maker contacts tracked across these 54 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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