Company lists · Data refreshed September 2026
Top 25 Data science investors based in San Francisco, United States
RevenueBase identified 53 data science investors headquartered in San Francisco, United States as of September 2026 and tracks 576 professional contacts across them, including 227 with verified work emails. Across the United States, San Francisco is the largest hub for this category.
This list covers data science 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 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 data science 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 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 40 contacts → | ||||
Partial 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. | |||||
| 3 | 35 contacts → | ||||
Partial evidence “Mighty Capital is the VC firm that leverages the Product Alpha Effect, a data-backed way to produce outliers by reading product signals from a network.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 23 contacts → | ||||
Indirect evidence “thrv (pronounced "thrive") is an independent sponsor making investments in private technology companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 17 contacts → | ||||
Indirect evidence “HVF stands for "Hard Valuable Fun".” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 15 contacts → | ||||
Indirect evidence “Zetta invests in intelligent enterprise software.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 12 contacts → | ||||
Indirect evidence “Founded in 2012, CircleUp is a privately owned company on a mission to empower entrepreneurs with the funding and support that they need to thrive.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 12 contacts → | ||||
Indirect evidence “Hone Capital is the U.S.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 11 contacts → | ||||
Indirect evidence “Greatest venture fund of all time.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 9 contacts → | ||||
Indirect evidence “We believe there are certain people in this world who are truly extraordinary.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 8 contacts → | ||||
Partial evidence “The Data Guild is a venture studio based in San Francisco, California.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 7 contacts → | ||||
Indirect evidence “ContinuumLab is a pioneering venture firm focused on startup innovation, incubation, and investment.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 7 contacts → | ||||
Indirect evidence “Zero Prime is pre-seed/seed fund that writes first checks for day 0 engineer-founders.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 6 contacts → | ||||
Indirect evidence “We are a Silicon Valley-based venture capital firm with roots in the US, Canada, Europe and the Middle East.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 6 contacts → | ||||
Partial evidence “Technology Early Stage Fund with a focus on "data and intelligence" at the core.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 5 contacts → | ||||
Partial evidence “Social Starts is a $60M+ venture capital partnership with a uniquely data-driven approach to investing in moment-of-inception and Series A financing rounds.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 4 contacts → | ||||
Indirect evidence “StratMinds is a San Francisco-based VC firm focused on Artificial Intelligence.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 3 contacts → | ||||
Indirect evidence “BAM Corner Point is an early growth (Series B-D) enterprise technology focused venture capital firm, built in partnership with Balyasny Asset Management.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 3 contacts → | ||||
Strong evidence “Machina Ventures is an investment firm focused on early stage, artificial intelligence and data science enabled companies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 3 contacts → | ||||
Indirect evidence “Merian Ventures is a mission-driven venture capital firm dedicated to fostering breakthrough innovation through collective ingenuity.” 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: data science 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 data science investors.
- Partial evidence
- Its own public description names part of data science investors, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name data science 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 53 data science investors based in San Francisco, United States
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Data science investors 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 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 data science 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 “data science 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 data science 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 data science 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, 227 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.
Data science investors 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 data science 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 data science investors are there based in San Francisco, United States?
RevenueBase identified 53 data science 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 in the United States has the most data science investors?
San Francisco leads the United States with 53 headquartered companies, followed by New York (48) and Boston (16).
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 227 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 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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