Company lists · Data refreshed September 2026
Top 24 Healthcare machine learning companies based in San Francisco, United States
RevenueBase identified 60 healthcare machine learning companies headquartered in San Francisco, United States as of September 2026 and tracks 1,856 professional contacts across them, including 1,010 with verified work emails. Across the United States, New York is the largest hub for this category (70 companies); San Francisco follows with 60.
This list covers healthcare machine learning 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 24 largest healthcare machine learning companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 884 contacts → | ||||
Indirect evidence “Doximity is the leading clinical AI company with the largest network of U.S.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 180 contacts → | ||||
Indirect evidence “Verana Health, Inc.® is a digital health company revolutionizing patient care and clinical research by utilizing physician expertise and artificial intelligence to unlock the true…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 133 contacts → | ||||
Partial evidence “Forta is clearing the path to quality healthcare.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 123 contacts → | ||||
Indirect evidence “Clarify Health Solutions® unlocks valuable insights making complex care decisions easier for providers, payers, tech and services organizations, and life science companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 37 contacts → | ||||
Indirect evidence “Valerie Health is reimagining how independent practices operate by using AI to modernize patient and provider communication interfaces, provide better care, and drive operational…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 30 contacts → | ||||
Partial evidence “Cercle is an AI technology company with the mission to advance healthcare for all women.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 28 contacts → | ||||
Indirect evidence “Lassie enables doctors to focus on patients, not paperwork.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 20 contacts → | ||||
Partial evidence “Outdefine builds The Clinical Trial Decisioning System for healthcare and life sciences teams.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 18 contacts → | ||||
Partial evidence “Atelia offers Unified Care System, empowering healthcare organizations track, predict and improve their business outcomes.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 18 contacts → | ||||
Indirect evidence “Folio is a flexible work marketplace for licensed clinicians, with credentialing and licensing built in.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 16 contacts → | ||||
Strong evidence “nSight is revolutionizing surgery, with the first machine learning platform that ensures hospital patient safety, and streamlines operative workflow.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 16 contacts → | ||||
Partial evidence “We’re an enthusiastic team of technical experts, creative problem solvers, and ambitious leaders working together to leverage technology, AI, and automation to improve healthcare…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 14 contacts → | ||||
Partial evidence “Our AI-powered healthcare information platform leverages LLMs to deliver accurate, up-to-date medical knowledge” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 8 contacts → | ||||
Partial evidence “At PointHealth, we believe no one should endure the pain of trial-and-error healthcare.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 7 contacts → | ||||
Indirect evidence “AESOP harnesses cutting-edge AI to pioneer a unique Clinical Diagnostic Reasoning Network model, elevating the precision of clinical decision-making across diagnoses, medication…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 6 contacts → | ||||
Indirect evidence “Lighten is an AI-native clinical intelligence platform that transforms raw clinical data into evidence-grade insights at scale.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 6 contacts → | ||||
Partial evidence “Shasta Health builds AI agents to automate healthcare operations” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 6 contacts → | ||||
Partial evidence “Synaptec Health’s mission is to accelerate the world’s transition to sustainable healthcare.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 4 contacts → | ||||
Partial evidence “Fight Health Insurance builds AI tools that untangle healthcare paperwork so patients and professionals can focus on care, not bureaucracy.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 4 contacts → | ||||
Indirect evidence “Empowered-Home detects subtle changes in the patient’s health status with correlated data from wearables and in-home devices summarized with Generative AI to help clinicians…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 3 contacts → | ||||
Strong evidence “Syntegra is unlocking the promise of real-world evidence by employing a groundbreaking machine learning model, the Syntegra Medical Mind, to enable low-burden access to…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 3 contacts → | ||||
Partial evidence “Recode Ventures is world's first specialist VC firm dedicated to investing in healthcare AI companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 2 contacts → | ||||
Partial evidence “At Sinewave AI, we harness the power of advanced artificial intelligence to transform healthcare operations.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 1 contacts → | ||||
Indirect evidence “At Elecsium, we are at the forefront of innovation in the field of biomedical engineering, with a deep commitment to advancing the intersection of biomedical research and…” 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: healthcare machine learning 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 healthcare machine learning companies.
- Partial evidence
- Its own public description names part of healthcare machine learning companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name healthcare machine learning 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 24 of 60 healthcare machine learning companies based in San Francisco, United States
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Healthcare machine learning 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 60 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 healthcare machine learning 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 “healthcare machine learning 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 healthcare machine learning 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 healthcare machine learning 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, 1,010 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.
Healthcare machine learning 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 healthcare machine learning 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 healthcare machine learning companies are there based in San Francisco, United States?
RevenueBase identified 60 healthcare machine learning 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?
Doximity, headquartered in San Francisco, tops this list with the largest team on record.
Which city in the United States has the most healthcare machine learning companies?
New York leads the United States with 70 headquartered companies, followed by San Francisco (60) and Boston (26).
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 1,010 verified decision-maker contacts tracked across these 60 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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