Company lists · Data refreshed September 2026
Top 23 Fraud detection AI companies based in San Francisco, United States
RevenueBase identified 45 fraud detection AI companies headquartered in San Francisco, United States as of September 2026 and tracks 2,196 professional contacts across them, including 1,111 with verified work emails and 791 with mobile numbers. New York is the largest hub.
This list covers fraud detection AI 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 12, 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 23 largest fraud detection AI companies based in San Francisco, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 617 contacts → | ||||
Partial evidence “AI-powered identity platform.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 2 | 345 contacts → | ||||
Partial evidence “TRM Labs is an AI investigations company that helps keep people, institutions, and communities safe from crime.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 3 | 288 contacts → | ||||
Partial evidence “Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in…” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 4 | 206 contacts → | ||||
Indirect evidence “Sardine is the leading agentic risk platform to fight financial crime.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 5 | 162 contacts → | ||||
Indirect evidence “SentiLink, the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic…” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 6 | 115 contacts → | ||||
Strong evidence “Unit21 is AI Risk Infrastructure for fraud prevention and AML-that you control, to accelerate detection and investigation.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 7 | 101 contacts → | ||||
Partial evidence “Hummingbird sets the new standard for AI-powered compliance.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 8 | 47 contacts → | ||||
Partial evidence “Informed helps financial institutions fund more loans faster while reducing risk and fraud.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 9 | 41 contacts → | ||||
Partial evidence “Inscribe has been solving document fraud for banks, lenders, and fintechs since 2017.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 10 | 35 contacts → | ||||
Indirect evidence Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 11 | 21 contacts → | ||||
Partial evidence “Greenlite augments compliance teams with AI coworkers.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 12 | 20 contacts → | ||||
Partial evidence “SafetyKit exists to make fraud unprofitable.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 13 | 19 contacts → | ||||
Strong evidence “Transforming Enterprise Decision-Making Through Advanced Time-Series AI Secure, scalable, and easy-to-deploy forecasting and anomaly detection, trusted by Fortune 500 enterprises.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 14 | 17 contacts → | ||||
Partial evidence “Stream is purpose-built AI for claim experts.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 15 | 14 contacts → | ||||
Partial evidence “Join leading Fortune 500s, banks, and security-first companies who embed risk management into every supplier decision with our AI-native procurement orchestration platform.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 16 | 12 contacts → | ||||
Partial evidence “Multinational law enforcement agencies, regulatory authorities, and enterprise customers use Kineviz to investigate fraud, money laundering, and collusive networks.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 17 | 9 contacts → | ||||
Indirect evidence “Financial crime compliance is breaking under its own weight.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 18 | 6 contacts → | ||||
Strong evidence “Endorsed is the Fraud-Proof AI Recruiting Platform.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 19 | 5 contacts → | ||||
Indirect evidence “Conway serves models across financial services, including FDIC-insured banks, card processors, marketplaces, and prediction markets.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 20 | 4 contacts → | ||||
Partial evidence “Quantimon is pioneering advanced technology for detecting criminal activity in the financial system while protecting the security and privacy of customer data.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 21 | 4 contacts → | ||||
Partial evidence “Salmon is the AI data intelligence layer that helps mid-market and enterprise growth teams generate revenue, source buyers, and verify identities.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 22 | 1 contacts → | ||||
Partial evidence “AI Platform for Credit Intelligence.” Source: RevenueBase Database · checked Sep 12, 2026Thanks. The Data Team will review it. | |||||
| 23 | 1 contacts → | ||||
Indirect 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 12, 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: fraud detection AI 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 fraud detection AI companies.
- Partial evidence
- Its own public description names part of fraud detection AI companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name fraud detection AI 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 23 of 45 fraud detection AI companies based in San Francisco, United States
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Fraud detection AI companies based in San Francisco, United States at a glance
As of Sep 12, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 15.0dCompany record updated
Median 50.0dHow 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 fraud detection AI 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 “fraud detection AI 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 fraud detection AI 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 fraud detection AI 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, 1,111 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 12, 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.
Fraud detection AI companies by metro in the United States
- Fraud detection AI companies in New York64
- Fraud detection AI companies in San Francisco46
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 fraud detection AI 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 fraud detection AI companies are there based in San Francisco, United States?
RevenueBase identified 45 fraud detection AI 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?
Incode, headquartered in San Francisco, tops this list with the largest team on record.
Which city has the most fraud detection AI companies?
New York leads with 64 headquartered companies, followed by San Francisco (46) and Miami (10).
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 1,111 verified decision-maker contacts tracked across these 45 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 12, 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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