Company lists · Data refreshed September 2026
Top 23 Natural language processing fintech companies based in the United Kingdom
RevenueBase identified 45 natural language processing fintech companies headquartered in the United Kingdom as of September 2026 and tracks 578 professional contacts across them, including 174 with verified work emails. London is the largest hub.
This list covers natural language processing fintech companies headquartered in the United Kingdom, 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 23 largest natural language processing fintech companies based in the United Kingdom
Ranked by team size| # | Company | Contacts | |||
|---|---|---|---|---|---|
| 1 | 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. | |||||
| 2 | 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. | |||||
| 3 | 43 contacts → | ||||
Indirect evidence “Gradient Labs is the conversational AI platform transforming customer operations in financial services.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 4 | 42 contacts → | ||||
Strong evidence “We are developing natural language understanding systems for capital markets.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 5 | 27 contacts → | ||||
Indirect evidence “Enterprise-grade AI for Finance.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 6 | 20 contacts → | ||||
Indirect evidence “From pioneering AI and NLP in Latin America to achieving US$3M in sales, Alana has shaped the way brands and customers connect.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 7 | 14 contacts → | ||||
Indirect evidence “At Permutable, we transform decision-making through specialist LLM tools built by highly skilled practitioners with decades of financial experience.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 8 | 14 contacts → | ||||
Indirect evidence “At Zanista AI, we revolutionise finance automation with GenAI-powered data pipelines.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 9 | 13 contacts → | ||||
Indirect evidence “Orbit is an AI-powered platform for financial services, combining an AI Studio with a comprehensive knowledge base giving you an accuracy, transparency, and efficiency that was…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 10 | 11 contacts → | ||||
Partial evidence “Fluence's pioneering linguistic analysis solution transforms complex language patterns into quantifiable business intelligence, enabling faster, more informed decisions that drive…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 11 | 10 contacts → | ||||
Indirect evidence “Businesses use only a fraction of the data they need to make financial decisions because that data is difficult to retrieve and analyse at scale.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 12 | 9 contacts → | ||||
Indirect evidence “Hertzian is recognised by the UK government as one of the country’s leading AI companies with clients like the NHS, Falmouth University, Warner Brothers and Riot Games.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 13 | 7 contacts → | ||||
Strong evidence “We are building a natural language processing-powered platform that automates the drafting of capital markets disclosures and related processes.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 14 | 7 contacts → | ||||
Indirect evidence “INATIGO-A Global WealthTech100-Listed Research, Innovation & AI technology company.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 15 | 5 contacts → | ||||
Indirect evidence “Smart Customer Protection: Rdentify brings together state-of-the-art machine learning, and linguistics technology to provide real time customer protection.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 16 | 5 contacts → | ||||
Partial evidence “Finley AI-The Multimodal Financial AI Agent API.(Showcase Page) We make it easier for any company including, banks, financial firms and fintechs to easily integrate…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 17 | 4 contacts → | ||||
Indirect evidence “Eliminate copy-paste and doc-chase in SMB financial analysis.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 18 | 3 contacts → | ||||
Strong evidence “Hybrid AI for Real-World Natural Language Processing Our Solutions NER - Our powerful NER (Named Entity Recognition) Engine can detect Companies, Brands, Persons, Locations…” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 19 | 3 contacts → | ||||
Indirect evidence “As leading AI consultants, we specialize in creating software applications for knowledge workers.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 20 | 3 contacts → | ||||
Indirect evidence “Super Cat Technology Limited is an award-winning agency in Hong Kong.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 21 | 2 contacts → | ||||
Strong evidence “Oxtractor extracts actionable insights from social data using natural language processing and AI.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 22 | 2 contacts → | ||||
Partial evidence “Fincloud is new Fintech startup providing innovative applications for Chatbots, Connectivity and Machine Learning in Finance.” Source: RevenueBase Database · checked Sep 29, 2026Thanks. The Data Team will review it. | |||||
| 23 | 1 contacts → | ||||
Strong evidence “Knowsis is a big data company using cutting edge natural language processing and data science to extract value from non-traditional online sources into quantifiable and actionable…” 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 23 of 45 natural language processing fintech companies based in the United Kingdom
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Natural language processing fintech companies based in the United Kingdom at a glance
As of Sep 29, 2026Companies by employee count
Email recency for this list is measured worldwide rather than for United Kingdom, so it is reported there. Company counts and contact totals on this page are exact for United Kingdom, over 45 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 Kingdom 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 Kingdom 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, 174 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 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 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 Kingdom?
RevenueBase identified 45 natural language processing fintech companies headquartered in the United Kingdom 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?
intellimation.ai, headquartered in London, tops this list with the largest team on record.
Which city has the most natural language processing fintech companies?
London leads with 30 headquartered companies, followed by Manchester (2) and Bath (1).
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 174 verified decision-maker contacts tracked across these 45 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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