Company lists · Data refreshed September 2026
Top 25 Natural language processing fintech companies based in the United States
RevenueBase identified 156 natural language processing fintech companies headquartered in the United States as of September 2026 and tracks 2,050 professional contacts across them, including 800 with verified work emails. New York is the largest hub.
This list covers natural language processing fintech companies 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 29, 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 natural language processing fintech companies based in the United States
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 475 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 2 | 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 29, 2026Thanks. The Data Team will review it. | |||||
| 3 | 173 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 4 | 139 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 5 | 66 contacts → | ||||
Indirect evidence “Allganize helps insurance, finance, SaaS companies automate answering questions from a myriad of complex text documents.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 6 | 63 contacts → | ||||
Indirect evidence “ElectrifAi’s pre-built Machine Learning, NLP, and Computer Vision software products solve high-value business problems with guaranteed 5x ROI in 6-8 weeks.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 7 | 55 contacts → | ||||
Indirect evidence “At Heron, we use the latest advances in AI and LLMs to automate document-heavy workflows.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 8 | 48 contacts → | ||||
Indirect evidence “Spring Labs is redefining how financial institutions handle customer support and compliance.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 9 | 38 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 10 | 35 contacts → | ||||
Strong evidence “Alexandria Technology is an AI Natural Language Processing firm that turns massive amounts of text into actionable data.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 11 | 32 contacts → | ||||
Indirect evidence “The industry leader in providing the state-of-the-art custom AI powered NLP and context intelligence needed to make unstructured social, media, reviews, and consumer intelligence…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 12 | 29 contacts → | ||||
Indirect evidence “Gail is an AI built for Financial Services.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 13 | 26 contacts → | ||||
Indirect evidence “At nRoad, we redefine the way businesses harness their data.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 14 | 21 contacts → | ||||
Indirect evidence “dMetrics is an ML/NLP company founded by two MIT PhDs.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 15 | 20 contacts → | ||||
Indirect evidence “As part of BridgeWise, the global leader in AI for wealth, Context Analytics powers the unstructured intelligence layer of the world's first vertically integrated, wealth-native…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 16 | 18 contacts → | ||||
Indirect evidence “At Rapid Labs, we’re dedicated to developing innovative AI-driven solutions across industries like Retail, Healthcare, Legal, Finance and more.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 17 | 17 contacts → | ||||
Indirect evidence “Your company is what your customers make of it.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 18 | 15 contacts → | ||||
Strong evidence “Lexalytics, a Press Ganey company, leads the space in solving the AI hard problem of text analytics and natural language processing.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 19 | 15 contacts → | ||||
Indirect evidence “Amenity Analytics develops cloud-based analytics tools to help businesses draw actionable insights from text on a massive scale.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 20 | 15 contacts → | ||||
Indirect evidence “Company.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 21 | 14 contacts → | ||||
Strong evidence “entigenlogic is a US-based artificial intelligence software company that empowers clients through its cutting-edge advanced Natural Language Understanding (NLU) technology.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 22 | 14 contacts → | ||||
Indirect evidence “MKT MediaStats is an AI platform that transforms millions of unstructured media and behavioral data points to actionable insights driving better investment and operational…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 23 | 14 contacts → | ||||
Partial evidence “Upsonic products power leading financial institutions from Turkey's largest fintech companies to Fortune 500 financial services firms and the top banks in the MENA region.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 24 | 12 contacts → | ||||
Indirect evidence “EMAlpha: Empowering Enterprises with Multilingual Intelligence for Unprecedented Success In an increasingly interconnected digital landscape, 50% of web information exists in…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 25 | 11 contacts → | ||||
Partial evidence “FinTech Studios operates the world's most advanced Generative AI-based market intelligence and risk intelligence platform for financial institutions and corporations.” Source: RevenueBase Database · checked Sep 29, 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: natural language processing fintech 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 natural language processing fintech companies.
- Partial evidence
- Its own public description names part of natural language processing fintech companies, so it works in or next to the category without describing itself that way.
- Indirect evidence
- The description shown does not name natural language processing fintech 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 156 natural language processing fintech companies based in the United States
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Natural language processing fintech companies based in the United States at a glance
As of Sep 29, 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 156 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 natural language processing fintech 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 the United States whose own description of what they do matches “natural language processing fintech 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 natural language processing fintech 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 natural language processing fintech companies, 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, 800 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 29, 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.
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 natural language processing fintech 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 natural language processing fintech companies are there based in the United States?
RevenueBase identified 156 natural language processing fintech companies 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 natural language processing fintech companies?
New York leads with 22 headquartered companies, followed by San Francisco (14) and Chicago (7).
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 800 verified decision-maker contacts tracked across these 156 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 29, 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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