Company lists · Data refreshed September 2026
Top 25 Machine learning fraud detection worldwide
RevenueBase identified 142 machine learning fraud detection worldwide as of September 2026 and tracks 8,059 professional contacts across them, including 4,411 with verified work emails and 1,692 with mobile numbers. The United States is the largest market and New York the largest hub.
This list covers machine learning fraud detection worldwide, 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 5, 2026. Country and city lists for machine learning fraud detection follow the table.
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 machine learning fraud detection worldwide
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 780 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 2 | 772 contacts → | ||||
Partial evidence “Accertify enables commerce by doing one thing extraordinarily well: pinpointing fraud.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 3 | 727 contacts → | ||||
Indirect evidence “Riskified (NYSE:RSKD) empowers businesses to unleash ecommerce growth by outsmarting risk.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 4 | 687 contacts → | ||||
Indirect evidence “Forter delivers AI decisions built for the commerce moments that matter.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 5 | 432 contacts → | ||||
Indirect evidence “BioCatch prevents financial crime by recognizing patterns in human behavior.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 6 | 386 contacts → | ||||
Partial evidence “SEON is the AI command center for fraud prevention and AML compliance.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 7 | 260 contacts → | ||||
Indirect evidence “PLUS TI is a leading software development firm that provides solutions to prevent financial crime.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 8 | 246 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 9 | 233 contacts → | ||||
Partial evidence “At Outseer, we are empowering our customers to liberate the world from digital fraud by providing solutions that stop fraud, not customers.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 10 | 205 contacts → | ||||
Indirect evidence “Bud Financial (“Bud”) enriches financial data, identifying the likes of merchant, category, location and regularity of transactions, to provide actionable insights and readable…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 11 | 191 contacts → | ||||
Indirect evidence “Taktile empowers financial institutions to quickly unlock AI-driven efficiencies across the customer lifecycle, reducing manual work while optimizing decisions and enabling…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 12 | 186 contacts → | ||||
Indirect evidence “Your business has unlimited growth potential.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 13 | 183 contacts → | ||||
Partial evidence “Synectics Solutions creates bespoke solutions which mitigate financial and identity fraud with outstanding effectiveness.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 14 | 170 contacts → | ||||
Partial evidence “DataVisor is the AI-native real-time decisioning engine for fraud and financial crime prevention.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 15 | 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 5, 2026Thanks. The Data Team will review it. | |||||
| 16 | 143 contacts → | ||||
Partial evidence “VU is a global company focused on fraud prevention and identity protection.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 17 | 140 contacts → | ||||
Partial evidence “AI-native fraud prevention company Ravelin provides sophisticated technology and dedicated support to help ecommerce businesses block advanced fraud threats and accept payments…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 18 | 125 contacts → | ||||
Indirect evidence “EverC, now a part of G2 Risk Solutions, is focused on powering growth for the online seller ecosystem.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 19 | 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 5, 2026Thanks. The Data Team will review it. | |||||
| 20 | 112 contacts → | ||||
Partial evidence “Pipl is an AI company that helps global enterprises make better fraud decisions.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 21 | 87 contacts → | ||||
Partial evidence “ThreatMark is the fraud disruptor of the future.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 22 | 86 contacts → | ||||
Partial evidence “Quantifind helps some of the world’s biggest banks catch money laundering and fraud.” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 23 | 72 contacts → | ||||
Strong evidence “SymphonyAI Financial Services, part of SymphonyAI, is a global leader in innovative software and solutions for regulatory compliance, fraud, and financial crime detection…” Source: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 24 | 54 contacts → | ||||
Indirect evidence “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: RevenueBase Database · checked Sep 5, 2026Thanks. The Data Team will review it. | |||||
| 25 | 54 contacts → | ||||
Partial evidence “Transform your fraud, risk, and compliance management with Fraud.Net's AI-driven platform for enterprises.” Source: RevenueBase Database · checked Sep 5, 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 fraud detection. 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 fraud detection.
- Partial evidence
- Its own public description names part of machine learning fraud detection, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name machine learning fraud detection. 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 142 machine learning fraud detection worldwide
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Machine learning fraud detection worldwide at a glance
As of Sep 5, 2026Companies by employee count
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 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.
- Coverage
- 2 countries, largest first: the United States, the United Kingdom. Country and city lists for machine learning fraud detection are linked below.
- What qualifies
- Companies worldwide 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.
- 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 fraud detection), 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 fraud detection, and records with no verified work email.
- 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, 4,411 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.
Machine learning fraud detection by location
2 lists · largest firstEvery Machine learning fraud detection list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
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 fraud detection, 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 fraud detection are there worldwide?
RevenueBase identified 142 machine learning fraud detection worldwide 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 country has the most machine learning fraud detection?
The United States leads with 111 companies, followed by the United Kingdom (31). Every machine learning fraud detection list by country and city is linked on this page.
Which city has the most machine learning fraud detection?
New York leads with 20 headquartered companies, followed by London (18) and San Francisco (15).
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 4,411 verified decision-maker contacts tracked across these 142 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 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.