Graph Analytics in Research & Data
3 companies using graph analytics technology in the research & data sector. Graph neural networks for network analysis and relationship detection
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Frequently Asked Questions
How is Graph Analytics used in research & data?
Graph neural networks for network analysis and relationship detection In the research & data sector, Graph Analytics is applied by 3 companies tracked by AIFI Map, with $107M in combined funding. Leading companies include Nansen (AI blockchain analytics platform); Arkham (Blockchain analytics + exchange; “AI” used to link entities to wallets); LunarCrush (Social intelligence signals across crypto/stocks; API + dashboards).
Which research & data companies use Graph Analytics?
The AIFI directory tracks 3 research & data companies using Graph Analytics, with a combined $107M in funding. Nansen, Arkham, LunarCrush. (Source: AIFI Map directory.)
What is the most funded Graph Analytics research & data company?
Nansen is the most funded company using Graph Analytics in research & data, with $88M raised. AI blockchain analytics platform Followed by Arkham ($12M).
How does Graph Analytics compare to other AI technologies in research & data?
In the Research & Data segment, Graph Analytics ranks #6 out of 8 AI technologies by adoption, with 3 companies and $107M 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 Graph Analytics focuses on graph neural networks for network analysis and relationship detection, 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.