Agentic AI in Research & Data
3 companies using agentic ai technology in the research & data sector. Autonomous AI agents that execute actions independently
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Frequently Asked Questions
How is Agentic AI used in research & data?
Autonomous AI agents that execute actions independently In the research & data sector, Agentic AI is applied by 3 companies tracked by AIFI Map, with $123M in combined funding. Leading companies include Fetch.ai (FET) (Decentralized agent network (ASI Alliance)); SingularityNET (AGIX/FET) (Decentralized AI services marketplace).
Which research & data companies use Agentic AI?
The AIFI directory tracks 3 research & data companies using Agentic AI, with a combined $123M in funding. Fetch.ai (FET), SingularityNET (AGIX/FET). (Source: AIFI Map directory.)
What is the most funded Agentic AI research & data company?
Fetch.ai (FET) is the most funded company using Agentic AI in research & data, with $62M raised. Decentralized agent network (ASI Alliance) Followed by SingularityNET (AGIX/FET) ($61M).
How does Agentic AI compare to other AI technologies in research & data?
In the Research & Data segment, Agentic AI ranks #6 out of 8 AI technologies by adoption, with 3 companies and $123M 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 Agentic AI focuses on autonomous ai agents that execute actions independently, alternative approaches include Data Platform, which data aggregation and enrichment platforms with minimal ml, and LLM / NLP, which large language models for nlp, chat, document understanding, and text generation.