Company lists · Data refreshed September 2026
Top 25 Machine learning finance companies based in New York, United States
RevenueBase identified 74 machine learning finance companies headquartered in New York, United States as of September 2026 and tracks 2,412 professional contacts across them, including 1,347 with verified work emails and 682 with mobile numbers. New York is the largest hub.
This list covers machine learning finance 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 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 25 largest machine learning finance companies based in New York, United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,304 contacts → | ||||
Partial evidence “Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 2 | 157 contacts → | ||||
Partial evidence “Hebbia is the leading AI platform for finance.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 3 | 120 contacts → | ||||
Partial evidence “Prospect 33 is at the vanguard of transforming financial services through artificial intelligence, embodying the bridge between the sector’s traditional practices and the…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 4 | 100 contacts → | ||||
Partial evidence “Rogo is the purpose-built AI platform for finance.” Source: RevenueBase Database · checked Sep 13, 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 13, 2026Thanks. The Data Team will review it. | |||||
| 6 | 71 contacts → | ||||
Indirect evidence “Superior data for decision-making.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 7 | 54 contacts → | ||||
Indirect evidence “We are a fintech company with our top mission to provide high-quality multi-dimensional data services for our clients to make optimized investment decisions.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 8 | 45 contacts → | ||||
Partial evidence “Bigdata.com is a trusted AI platform built by RavenPack to empower financial firms to build enterprise-grade AI systems with flexible, auditable APIs.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 9 | 39 contacts → | ||||
Indirect evidence “Education, News, Ai Devolpment & Asset Management, Conferences & History Think Tank Rebellion Research is a top tier, US-based research firm and think tank.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 10 | 36 contacts → | ||||
Indirect evidence “Limex was founded by former Wall Street quantitative researchers to address the significant infrastructure gap between institutional and retail trading capabilities.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 11 | 26 contacts → | ||||
Indirect evidence “Stratyfy optimizes high-stakes decisions in credit risk, fraud, and compliance.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 12 | 17 contacts → | ||||
Partial evidence “Every month, finance teams do the same thing: they wait.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 13 | 13 contacts → | ||||
Indirect evidence “Let us show you how you can improve your risk-adjusted spread-capture P&L by partnering with us.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 14 | 12 contacts → | ||||
Indirect evidence “Surmount is the infrastructure behind modern investing.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 15 | 12 contacts → | ||||
Partial evidence “Concourse builds AI agents for finance teams.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 16 | 10 contacts → | ||||
Partial evidence “Laso is a machine intelligence company.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 17 | 9 contacts → | ||||
Indirect evidence “We are long-term fundamental investors with a knack for mathematics.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 18 | 9 contacts → | ||||
Partial evidence “ForwardLane transforms complex financial data into growth.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 19 | 9 contacts → | ||||
Indirect evidence “Synthesis is a quantitative investment company, focusing on statistical arbitrage in equity markets.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 20 | 7 contacts → | ||||
Strong evidence “Bezant Tech’s mission is to produce high and consistent risk-adjusted returns by adhering to Machine Learning methodologies while building an exceptional firm that develops…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 21 | 7 contacts → | ||||
Partial evidence “Liquidity Group is the largest AI-based financial asset management firm in the world.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 22 | 7 contacts → | ||||
Indirect evidence “Neo Ivy Capital invests in liquid, publicly traded equity securities via statistical arbitrage strategies.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 23 | 6 contacts → | ||||
Partial evidence “Precise is an ML based B2B embedded finance platform that underwrites (risk scores), deploys capital, and orchestrates collections based on real-time risk assessment done by a…” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 24 | 6 contacts → | ||||
Partial evidence “Investall is a New York City-based FinTech company that is revolutionizing the journey to a secure financial future with its AI/ML-powered Investall mobile apps.” Source: RevenueBase Database · checked Sep 13, 2026Thanks. The Data Team will review it. | |||||
| 25 | 5 contacts → | ||||
Strong evidence “KixiTrade is a cutting-edge quantitative trading company leveraging proprietary AI and machine learning algorithms to drive market innovation.” 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 25 of 74 machine learning finance companies based in New York, United States
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Machine learning finance companies based in New York, 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 16.0dCompany record updated
Median 54.0dHow 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 New York, 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 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, 1,347 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 New York, United States?
RevenueBase identified 74 machine learning finance 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?
Addepar, headquartered in New York, 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 1,347 verified decision-maker contacts tracked across these 74 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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