Company lists · Data refreshed September 2026
Top 25 Machine learning fraud detection based in the United States
RevenueBase identified 111 machine learning fraud detection headquartered in the United States as of September 2026 and tracks 6,972 professional contacts across them, including 3,865 with verified work emails and 1,584 with mobile numbers. New York is the largest hub.
This list covers machine learning fraud detection headquartered in the 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, how directly it supports the match, and when it was last checked. Data refreshed September 5, 2026.
Published by RevenueBase, a B2B data infrastructure company. This list was built with RevenueBase SmartSearch, 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 fraud detection based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 780 | ||||
“Feedzai powers trust in global finance with our AI-native financial crime prevention platform, protecting the moments where money matters most at massive scale.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 772 | ||||
“Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | RiskifiedIndirect evidence | 727 | |||
“Riskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 687 | ||||
“Forter delivers AI decisions built for the commerce moments that matter.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 432 | ||||
“BioCatch prevents financial crime by recognizing patterns in human behavior.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 386 | ||||
“SEON is the AI command center for fraud prevention and AML compliance.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | Plus Technologies & InnovationsIndirect evidence | 260 | |||
“PLUS TI is a leading software development firm that provides solutions to prevent financial crime.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | ThetarayIndirect evidence | 246 | |||
“ThetaRay provides the end-to-end risk decisioning infrastructure for financial crime compliance, built for enterprises that refuse to trade risk management for business growth.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 205 | ||||
“Bud Financial (“Bud”) enriches financial data, identifying the likes of merchant, category, location and regularity of transactions, to provide actionable insights and readable…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 191 | ||||
“Taktile empowers financial institutions to quickly unlock AI-driven efficiencies across the customer lifecycle, reducing manual work while optimizing decisions and enabling…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 186 | ||||
“Your business has unlimited growth potential.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 170 | ||||
“DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 162 | ||||
“SentiLink, the leading provider of innovative identity and risk solutions, empowers institutions and individuals to transact confidently with one another by preventing synthetic…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 125 | ||||
“EverC, now a part of G2 Risk Solutions, is focused on powering growth for the online seller ecosystem.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 115 | ||||
“Unit21 is AI Risk Infrastructure for fraud prevention and AML-that you control, to accelerate detection and investigation.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 112 | ||||
“Pipl is an AI company that helps global enterprises make better fraud decisions.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | 87 | ||||
“ThreatMark is the fraud disruptor of the future.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 86 | ||||
“Quantifind helps some of the world’s biggest banks catch money laundering and fraud.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 72 | ||||
“SymphonyAI Financial Services, part of SymphonyAI, is a global leader in innovative software and solutions for regulatory compliance, fraud, and financial crime detection…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | ValidifiIndirect evidence | 54 | |||
“ValidiFI, an analytics and technology company, connects bank account and payment insights to help companies in a variety of industries provide more confident, trustworthy and…” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 54 | ||||
“Transform your fraud, risk, and compliance management with Fraud.Net's AI-driven platform for enterprises.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | LendingfrontIndirect evidence | 42 | |||
“LendingFront uses our proprietary AI to help banks, payments companies, and vertical software providers understand their customers better than ever before, in seconds.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 41 | ||||
“Inscribe has been solving document fraud for banks, lenders, and fintechs since 2017.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 41 | ||||
“Heka delivers real-time web intelligence to financial services.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 39 | ||||
“nSure.ai turns fraud prevention into a profit driver for crypto exchanges and high-risk digital merchants.” Source: company website · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
Showing 25 of 111 machine learning fraud detection based in the United States
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Machine learning fraud detection based in the United States at a glance
As of Sep 5, 2026Companies by employee count
Verified emails by last verification
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 fraud detection, so some rows will be adjacent to the category rather than pure plays. The description and evidence 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 SmartSearch, the natural-language company search available to every RevenueBase user.
- What qualifies
- Companies headquartered in the United States whose own description of what they do matches “machine learning fraud detection”. Matching reads each company's description, not its industry code or its name.
- What we exclude
- Companies whose own description does not clearly place them among machine learning fraud detection, and records with no verified work email. Companies headquartered outside United States 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 an evidence 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, 3,865 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 5, 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.
Frequently asked
How many machine learning fraud detection are there based in the United States?
RevenueBase identified 111 machine learning fraud detection headquartered in the 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?
Feedzai, headquartered in New York, tops this list with the largest team on record.
Which city has the most machine learning fraud detection?
New York leads with 20 headquartered companies, followed by San Francisco (15) and Wilmington (5).
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 3,865 verified decision-maker contacts tracked across these 111 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 5, 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 SmartSearch, 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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