Company lists · Data refreshed September 2026
Top 25 Deep learning finance startups worldwide
RevenueBase identified 1,220 deep learning finance startups worldwide as of September 2026 and tracks 16,027 professional contacts across them, including 3,938 with verified work emails. The United States is the largest market and London the largest hub.
This list covers deep learning finance startups 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 28, 2026. Country and city lists for deep learning finance startups 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 deep learning finance startups worldwide
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 | 364 contacts → | ||||
Partial evidence “CardX is a leading digital finance platform and a core subsidiary of the SCBX Group, Thailand’s premier financial technology business group.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 4 | 342 contacts → | ||||
Indirect evidence “Trusting Social is an AI fintech company revolutionizing credit scoring using big data technology, and social, web, and mobile data.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 5 | 281 contacts → | ||||
Partial evidence “For more than 25 years, Sandstone Technology has been innovating and evolving financial solutions for some of the world’s largest banks and financial institutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 6 | 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. | |||||
| 7 | 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. | |||||
| 8 | 197 contacts → | ||||
Partial evidence “Galytix (GX) is a specialised AI firm built exclusively for financial institutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 9 | 193 contacts → | ||||
Partial evidence “UnaFinancial is represented in several markets in Asia and Europe, offering easy-to-use digital financial solutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 10 | 180 contacts → | ||||
Strong evidence “Arthan Finance is a new age LendingTech, endeavours to transform Small Businesses through AI & Deep Learning based customised "Fit to Purpose" financial products and help them…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 11 | 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. | |||||
| 12 | 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. | |||||
| 13 | 144 contacts → | ||||
Indirect evidence “Think360.ai helps enterprises harness living data to drive smarter decisions, growth, and resilience.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 14 | 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. | |||||
| 15 | 135 contacts → | ||||
Partial evidence “Datayes is China's leading edge financial technology company founded by a group of experts in the fields of finance and internet technology.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 16 | 133 contacts → | ||||
Partial evidence “Somos una empresa tecnológica de servicios financieros que busca ayudar a las personas que logren lo que quieren sin límites.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 17 | 128 contacts → | ||||
Partial evidence “Tiimely is a platform technology company leading the future of financial assessment through predictive and explainable AI, and configurable, API-led solutions.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 18 | 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. | |||||
| 19 | 119 contacts → | ||||
Partial evidence “Oriente was established in 2017 by the co-founders of revolutionary internet companies Skype and LU.com who saw an opportunity to build a better, more equitable financial system…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 20 | 114 contacts → | ||||
Partial evidence “Transformamos las finanzas con IA.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 21 | 112 contacts → | ||||
Indirect evidence “The future of trading and post-trade operations starts here.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 22 | 110 contacts → | ||||
Partial evidence “Founded in 2015 with the mission of "Extraordinary Finance for the Ordinary", PFC Technologies Inc.(PFCT) is Korea's leading digital finance company focused on AI technologies.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 23 | 104 contacts → | ||||
Partial evidence “With the mission of improving the bank-client relationship, Strands is the worldwide leading FinTech that develops solutions for financial institutions to increase customer…” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 24 | 102 contacts → | ||||
Partial evidence “Lynx is an AI-driven software company designed to solve clients’ most significant fraud and financial crime challenges.” Source: RevenueBase Database · checked Sep 28, 2026Thanks. The Data Team will review it. | |||||
| 25 | 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. | |||||
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 1,220 deep learning finance startups worldwide
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Deep learning finance startups worldwide at a glance
As of Sep 28, 2026Companies by employee count
Email recency is reported on each country list linked below.
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.
- Coverage
- Every country. Country and city lists for deep learning finance startups are linked below.
- What qualifies
- Companies worldwide 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.
- 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, 3,938 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 location
6 lists · largest firstEvery Deep learning finance startups list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
- Deep learning finance startups based in the United States238
- Deep learning finance startups based in India119
- Deep learning finance startups based in the United Kingdom93
- Deep learning finance startups based in Canada34
Cities
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 worldwide?
RevenueBase identified 1,220 deep learning finance startups 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?
Pagaya, headquartered in Worldwide, tops this list with the largest team on record.
Which country has the most deep learning finance startups?
The United States leads with 238 companies, followed by India (119) and the United Kingdom (93). Every deep learning finance startups list by country and city is linked on this page.
Which city has the most deep learning finance startups?
London leads with 68 headquartered companies, followed by New York (45) and Singapore (34).
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 3,938 verified decision-maker contacts tracked across these 1,220 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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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.