Company lists · Data refreshed September 2026
Top 25 Deep learning finance startups based in the United States
RevenueBase identified 238 deep learning finance startups headquartered in the United States as of September 2026 and tracks 3,623 professional contacts across them, including 1,247 with verified work emails. New York is the largest hub.
This list covers deep learning finance startups 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, its RevenueBase Smart Search rating, and when it was last checked. Data refreshed September 28, 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 deep learning finance startups based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 475 contacts → | ||||
Partial evidence “Pagaya is a financial technology company that enables financial institutions to expand access to more customers through its artificial intelligence network” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 2 | 402 contacts → | ||||
Indirect evidence “Founded in 2018, Bakkt, Inc.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 3 | 223 contacts → | ||||
Strong evidence “Our main planned development is deep learning algorithms, diversified markets” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 213 contacts → | ||||
Indirect evidence “Since 2009, Zest AI has been innovating and perfecting AI technology with a mission to broaden access to lending using smarter, more efficient AI.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 173 contacts → | ||||
Partial evidence “Founded in 2014, Scienaptic AI was built with the mission to drive financial inclusion at scale through AI-driven credit decisioning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 157 contacts → | ||||
Partial evidence “Hebbia is the leading AI platform for finance.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 7 | 139 contacts → | ||||
Partial evidence “Cleareye.ai is an advanced Artificial Intelligence & Machine Learning platform that enables banks to launch products at a rapid pace.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 8 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 100 contacts → | ||||
Partial evidence “Rogo is the purpose-built AI platform for finance.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 99 contacts → | ||||
Partial evidence “Rocktop Technologies is a full-service suite of financial technology applications driven by A.I.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 12 | 81 contacts → | ||||
Indirect evidence “Strategic Link is a fintech innovator that responds rapidly to technological and economic trends with back-end solutions that maximize clients’ returns.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 13 | 68 contacts → | ||||
Indirect evidence “We believe everyone should have equitable access to meaningful credit access at affordable rates.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 63 contacts → | ||||
Indirect evidence “Backed by IBM, QuantumStreet AI is a global leader in AI driven investment strategies with over $7 billion in client assets.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 15 | 54 contacts → | ||||
Indirect evidence “At OnCorps AI, our mission is to elevate work and performance by applying AI to handle predictable and laborious calculations, decisions, and tasks.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 47 contacts → | ||||
Indirect evidence “Lama AI provides AI-native loan origination infrastructure for community and regional banks.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 44 contacts → | ||||
Partial evidence “At IceKredit, we provide comprehensive risk mitigation solutions for financial institutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 19 | 39 contacts → | ||||
Indirect evidence “A unique convergence of data science and innovative technologies is transforming every dimension of human activity.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 38 contacts → | ||||
Strong evidence “Point Predictive is an Ai technology company with deep expertise in building machine learning scoring models that have been widely deployed by banks and lenders.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 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 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 30 contacts → | ||||
Indirect evidence “TRUE is a software solutions company and AI lab that helps lenders harness the power of artificial intelligence to make accurately informed underwriting decisions – increasing…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 29 contacts → | ||||
Partial evidence “The world’s most innovative lenders rely on ZestFinance to do more profitable lending through machine learning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 28 contacts → | ||||
Partial evidence “TomoCredit, based in San Francisco, uses AI and machine learning for credit underwriting and loan decisioning.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 26 contacts → | ||||
Indirect evidence “Stratyfy optimizes high-stakes decisions in credit risk, fraud, and compliance.” Source: RevenueBase Database · checked Sep 28, 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: deep learning finance startups. 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 deep learning finance startups.
- Partial evidence
- Its own public description names part of deep learning finance startups, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name deep learning finance startups. 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 238 deep learning finance startups based in the United States
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Deep learning finance startups based in the United States at a glance
As of Sep 28, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United States, so it is reported there. Company counts and contact totals on this page are exact for United States, over 238 companies.
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 deep learning finance startups, 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 the United States whose own description of what they do matches “deep learning finance startups”. 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 deep learning finance startups), 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 deep learning finance startups, 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 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, 1,247 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 28, 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.
Deep learning finance startups by metro
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 deep learning finance startups, 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 deep learning finance startups are there based in the United States?
RevenueBase identified 238 deep learning finance startups 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?
Pagaya, headquartered in United States, tops this list with the largest team on record.
Which city has the most deep learning finance startups?
New York leads with 45 headquartered companies, followed by San Francisco (23) and Boston (8).
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 1,247 verified decision-maker contacts tracked across these 238 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 28, 2026.
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Deep learning finance startups by geography
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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