Company lists · Data refreshed September 2026
Top 22 AI antimoney laundering companies based in New York, United States
RevenueBase identified 38 AI antimoney laundering companies headquartered in New York, United States as of September 2026 and tracks 2,146 professional contacts across them, including 1,297 with verified work emails and 398 with mobile numbers. New York is the largest hub.
This list covers AI antimoney laundering companies headquartered in New York, 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 20, 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 22 largest AI antimoney laundering companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 780 contacts → | ||||
Partial 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 20, 2026Thanks. The Data Team will review it. | |||||
| 2 | 432 contacts → | ||||
Indirect evidence “BioCatch prevents financial crime by recognizing patterns in human behavior.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 3 | 239 contacts → | ||||
Partial evidence “WorkFusion, a UiPath company, is a pioneer in AI agents for financial crime compliance (FCC).” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 4 | 86 contacts → | ||||
Indirect evidence “IVIX is purpose-built to illuminate financial crime.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 5 | 84 contacts → | ||||
Partial evidence “At Cognext.ai, we are building XEN, an execution-grade AI analyst that automates AI-powered analyst tasks across regulatory, risk, and finance workflows at large financial…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 6 | 67 contacts → | ||||
Partial evidence “Born in crypto, built for Wall Street, Solidus is redefining compliance for modern markets through a multidimensional, agentic AI operating system built from the ground up to…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 7 | 62 contacts → | ||||
Indirect evidence “Founded in 2018, Merkle Science is the next generation predictive cryptocurrency risk and intelligence platform that helps crypto companies, financial institutions, and government…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 8 | 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 20, 2026Thanks. The Data Team will review it. | |||||
| 9 | 39 contacts → | ||||
Partial evidence “nSure.ai turns fraud prevention into a profit driver for crypto exchanges and high-risk digital merchants.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 10 | 26 contacts → | ||||
Indirect evidence “Stratyfy optimizes high-stakes decisions in credit risk, fraud, and compliance.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 11 | 26 contacts → | ||||
Indirect evidence “Baselayer empowers over 2,200 financial institutions and government agencies to trust the small and medium-sized businesses they serve.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 12 | 22 contacts → | ||||
Indirect evidence “Footprint is the agentic platform that runs your compliance program end-to-end: from watchlist screening to due diligence, KYC and beyond.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 13 | 18 contacts → | ||||
Partial evidence “Castellum.AI helps AML teams eliminate alert overload.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 14 | 16 contacts → | ||||
Indirect evidence “Backed by Google and Y Combinator, we are revolutionising how banks and fintechs conduct financial crime compliance.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 15 | 13 contacts → | ||||
Indirect evidence “Sandbar is the all-in-one, self-service AML screening.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 16 | 9 contacts → | ||||
Partial evidence “Founded in 2022, Sedra Solutions is revolutionizing forensic accounting for businesses and governments with its advanced algorithms, AI, and Machine Learning-driven software…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 17 | 8 contacts → | ||||
Partial evidence “Global Anti-Money Laundering (AML) training and advisory services provided by Kevin Sullivan, CAMS who brings more than 30 years experience working on the frontline in the elite…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 18 | 5 contacts → | ||||
Partial evidence “Threat.Digital helps compliance and research teams automate due diligence and detect risk faster with AI.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 19 | 5 contacts → | ||||
Partial evidence “The Mizen Group LLC Compliance Services for Anti-Money Laundering About Us The Mizen Group LLC A RegTech Services business for financial institutions, using diagnostics and…” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 20 | 5 contacts → | ||||
Indirect evidence “Financial crime compliance is a $274 Bn labor intensive industry and employs about analysts globally.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 21 | 3 contacts → | ||||
Indirect evidence “About Us AMC Partners, Inc.” Source: RevenueBase Database · checked Sep 20, 2026Thanks. The Data Team will review it. | |||||
| 22 | 3 contacts → | ||||
Indirect evidence “The Doyle Carden Group is an investigative and AML consulting firm that has assisted financial institutions of all sizes and geographies with the day to day management of their…” Source: RevenueBase Database · checked Sep 20, 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: AI antimoney laundering 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 AI antimoney laundering companies.
- Partial evidence
- Its own public description names part of AI antimoney laundering companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name AI antimoney laundering 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 22 of 38 AI antimoney laundering companies based in New York, United States
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AI antimoney laundering companies based in New York, United States at a glance
As of Sep 20, 2026Companies by employee count
Freshness & accuracy
How recently the business emails were verified and the company information checked
Email last verified
Median 23.0dCompany record updated
Median 62.0dHow 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 AI antimoney laundering 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 New York, United States whose own description of what they do matches “AI antimoney laundering 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 AI antimoney laundering 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 AI antimoney laundering companies, and records with no verified work email. Companies headquartered outside New York 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, 1,297 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 20, 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.
AI antimoney laundering companies by metro in the United States
- AI antimoney laundering companies in New York42
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 AI antimoney laundering 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 AI antimoney laundering companies are there based in New York, United States?
RevenueBase identified 38 AI antimoney laundering companies headquartered in New York, 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 AI antimoney laundering companies?
New York leads with 42 headquartered companies, followed by San Francisco (13) 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 1,297 verified decision-maker contacts tracked across these 38 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 20, 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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