LLM / NLP in Research & Data
19 companies using llm / nlp technology in the research & data sector. Large language models for NLP, chat, document understanding, and text generation
Directory
Companies by Funding
OpenAI
ChatGPT powers many fintech applications
Anthropic
Claude used in finance applications
Databricks
Unified data and AI platform
Palantir
AI data platform for finance
AlphaSense
AI-powered market and search intelligence
Harvey
AI for legal and financial document analysis
C3.ai
AI applications for enterprises
Hebbia
AI for financial document analysis
Kensho (S&P Global)
AI analytics for finance
Tegus
AI-generated investment research summaries
Reducto
AI document parsing with agentic OCR for finance
Rogo
AI chatbot for investment banking research
Sentieo (Now AlphaSense)
AI financial data and research platform
Google DeepMind
AlphaFold methodology applied to finance
Kaito AI
AI search engine for crypto
Finpilot
ChatGPT for financial questions
Briink
AI document analysis for ESG teams
Elfa AI
Real-time crypto attention + contextual insight; “trade with intuition”
Related
Other AI Technologies in Research & Data
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LLM / NLP in Other Segments
Frequently Asked Questions
How is LLM / NLP used in research & data?
Large language models for NLP, chat, document understanding, and text generation In the research & data sector, LLM / NLP is applied by 19 companies tracked by AIFI Map, with $105.5B in combined funding. Leading companies include OpenAI (ChatGPT powers many fintech applications); Anthropic (Claude used in finance applications); Databricks (Unified data and AI platform).
Which research & data companies use LLM / NLP?
The AIFI directory tracks 19 research & data companies using LLM / NLP, with a combined $105.5B in funding. OpenAI, Anthropic, Databricks, Palantir, AlphaSense, and 13 more. (Source: AIFI Map directory.)
What is the most funded LLM / NLP research & data company?
OpenAI is the most funded company using LLM / NLP in research & data, with $57.9B raised. ChatGPT powers many fintech applications Followed by Anthropic ($27.3B).
How does LLM / NLP compare to other AI technologies in research & data?
In the Research & Data segment, LLM / NLP ranks #2 out of 8 AI technologies by adoption, with 19 companies and $105.5B in combined funding. The most widely adopted technologies in research & data are Data Platform (29 companies, $19.1B funded); LLM / NLP (19 companies, $105.5B funded); Infrastructure (10 companies, $1.3B funded). While LLM / NLP focuses on large language models for nlp, chat, document understanding, and text generation, alternative approaches include Data Platform, which data aggregation and enrichment platforms with minimal ml, and Infrastructure, which ai/ml infrastructure, compute networks, and tooling.