Company lists · Data refreshed September 2026
Top 11 Machine learning finance companies based in San Francisco, United States
RevenueBase identified 40 machine learning finance companies headquartered in San Francisco, United States as of September 2026 and tracks 236 professional contacts across them, including 74 with verified work emails and 62 with mobile numbers. New York is the largest hub.
This list covers machine learning finance 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 13, 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 11 largest machine learning finance companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 63 contacts → | ||||
Indirect evidence “Backed by IBM, QuantumStreet AI is a global leader in AI driven investment strategies with over $7 billion in client assets.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 44 contacts → | ||||
Indirect evidence “A new kind of hedge fund built by a network of data scientists.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 25 contacts → | ||||
Partial evidence “Most financial decisions are made without expertise, analysis, or data.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 6 contacts → | ||||
Partial evidence “Boost.money is a cutting-edge AI platform empowering Financial Institutions and Lenders to revolutionize lending decisions.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 5 | 6 contacts → | ||||
Strong evidence “Flowcast leverages its patented machine learning methodologies to create high-performing predictive models that assess risk and enable lenders to unlock credit to all size…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 5 contacts → | ||||
Indirect evidence “We are building state of the art ML tools with proven revenue generation capabilities for retail and e-commerce.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 5 contacts → | ||||
Strong evidence “Sagehood's intelligent investment approach harnesses the power of machine learning to provide a holistic understanding of the financial market.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 1 contacts → | ||||
Partial evidence “Global Predictions is founded by a successfully exited, ex-Bridgewater team using AI + Finance expertise to build a full-stack solution for investing insights and financial advice…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 1 contacts → | ||||
Indirect evidence “Darwinian Capital Management applies evolutionary statistics and artificial intelligence to build dynamic investment strategies designed to thrive in today’s rapidly changing…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 1 contacts → | ||||
Partial evidence “Clovis Technologies is a new company whose founders are using nearly 50 years of experience in Financial Regulations Big Data Intelligence Gathering to bring new software…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 1 contacts → | ||||
Strong evidence “Logicluster is a Machine Learning Dynamic Pricing Engine that delivers incremental revenue to enterprises dealing in Foreign Currencies.” Source: RevenueBase Database · checked Sep 13, 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 finance 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 finance companies.
- Partial evidence
- Its own public description names part of machine learning finance 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 finance 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 11 of 40 machine learning finance companies based in San Francisco, United States
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Machine learning finance companies based in San Francisco, United States at a glance
As of Sep 13, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 17.0dCompany record updated
Median 53.0dHow 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 finance 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 finance 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 finance 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 finance 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, 74 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 13, 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 finance companies by metro in the United States
- Machine learning finance companies in New York103
- Machine learning finance companies in San Francisco47
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 finance 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 finance companies are there based in San Francisco, United States?
RevenueBase identified 40 machine learning finance 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?
Quantumstreet AI, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most machine learning finance companies?
New York leads with 103 headquartered companies, followed by San Francisco (47) and Chicago (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 74 verified decision-maker contacts tracked across these 40 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 13, 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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