Company lists · Data refreshed September 2026
Top 25 Natural language processing fintech companies worldwide
RevenueBase identified 744 natural language processing fintech companies worldwide as of September 2026 and tracks 10,542 professional contacts across them, including 2,585 with verified work emails. The United States is the largest market and London the largest hub.
This list covers natural language processing fintech companies 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 29, 2026. Country and city lists for natural language processing fintech companies 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 natural language processing fintech companies worldwide
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 1,352 contacts → | ||||
Indirect evidence “Kissht, a consumer-first credit app is transforming consumer credit!” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 2 | 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. | |||||
| 3 | 211 contacts → | ||||
Indirect evidence “RavenPack is the leading provider of insights and technology for data-driven companies, trusted by the world’s top hedge funds, banks, and asset managers.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 4 | 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. | |||||
| 5 | 180 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 6 | 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. | |||||
| 7 | 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. | |||||
| 8 | 121 contacts → | ||||
Indirect evidence “Exdion, leveraging the cutting-edge capabilities of GenAI, is a leading AI, ML, NLP-led transformational partner that transcends conventional product offerings and instead…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 9 | 114 contacts → | ||||
Indirect evidence “Transformamos las finanzas con IA.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 10 | 110 contacts → | ||||
Indirect 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 29, 2026Thanks. The Data Team will review it. | |||||
| 11 | 100 contacts → | ||||
Indirect evidence “We are Fintonic, the ultimate solution for enabling access to credit and analyzing individuals' credit risk.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 12 | 91 contacts → | ||||
Indirect evidence “BOTNOI Company, founded in 2017 by Dr.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 13 | 86 contacts → | ||||
Indirect evidence “Established in 2014, KN Group is a financial technology company with a core focus on artificial intelligence and big data.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 14 | 79 contacts → | ||||
Strong evidence “Fano is an AI company specializing in speech and natural language processing technologies to help enterprises with their customer services, compliance, and other lines of…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 15 | 76 contacts → | ||||
Indirect evidence “DataBoss is a high-tech company developing big data and artificial intelligence technologies.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 16 | 74 contacts → | ||||
Indirect evidence “intellimation.ai is an enterprise AI software provider, not a model lab, not a chatbot, that builds production AI applications operating at the inference layer, wrapping any…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 17 | 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. | |||||
| 18 | 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. | |||||
| 19 | 59 contacts → | ||||
Indirect evidence “Es una Inteligencia Artificial entrenada para entender e interpretar conversaciones habladas o escritas, extrayendo insights de valor que permitan mejorar la experiencia del…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 20 | 58 contacts → | ||||
Partial evidence “Nexus FrontierTech empowers institutions with financial data processing products through its proprietary generative AI platform that automates data-driven processes, extracting…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 21 | 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. | |||||
| 22 | 54 contacts → | ||||
Indirect evidence “Welcome to NeuroOceans.AI, an AI-based software company that specializes in developing cutting-edge solutions for businesses and organizations.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 23 | 50 contacts → | ||||
Strong evidence “At Wordworks AI, we leverage the transformative power of Artificial Intelligence and Natural Language Processing to build solutions that understand, interpret, and respond to…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 24 | 49 contacts → | ||||
Indirect evidence “ASK uses breakthrough AI-NLP to aggregate text-heavy company knowledge & customer communications, surfacing pinpointed answers to your questions and revealing product insights…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 25 | 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. | |||||
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 744 natural language processing fintech companies worldwide
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Natural language processing fintech companies worldwide at a glance
As of Sep 29, 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 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.
- Coverage
- Every country. Country and city lists for natural language processing fintech companies are linked below.
- What qualifies
- Companies worldwide 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.
- 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, 2,585 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.
Natural language processing fintech companies by location
4 lists · largest firstEvery Natural language processing fintech companies list RevenueBase publishes, by country and city. Counts are matching companies in each list as of its own refresh date.
Countries
- Natural language processing fintech companies based in the United States156
- Natural language processing fintech companies based in India90
- Natural language processing fintech companies based in the United Kingdom45
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 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 worldwide?
RevenueBase identified 744 natural language processing fintech companies 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?
Kissht, headquartered in Mumbai, tops this list with the largest team on record.
Which country has the most natural language processing fintech companies?
The United States leads with 156 companies, followed by India (90) and the United Kingdom (45). Every natural language processing fintech companies list by country and city is linked on this page.
Which city has the most natural language processing fintech companies?
London leads with 31 headquartered companies, followed by New York (22) and San Francisco (14).
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 2,585 verified decision-maker contacts tracked across these 744 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.