Graph Analytics in Crypto & Web3
3 companies using graph analytics technology in the crypto & web3 sector. Graph neural networks for network analysis and relationship detection
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Companies by Funding
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Other AI Technologies in Crypto & Web3
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Graph Analytics in Other Segments
Frequently Asked Questions
How is Graph Analytics used in crypto & web3?
Graph neural networks for network analysis and relationship detection In the crypto & web3 sector, Graph Analytics is applied by 3 companies tracked by AIFI Map, with $756M in combined funding. Leading companies include Chainalysis (Blockchain analysis and crypto compliance); TRM Labs (Blockchain analytics for crypto fraud/AML).
Which crypto & web3 companies use Graph Analytics?
The AIFI directory tracks 3 crypto & web3 companies using Graph Analytics, with a combined $756M in funding. Chainalysis, TRM Labs. (Source: AIFI Map directory.)
What is the most funded Graph Analytics crypto & web3 company?
Chainalysis is the most funded company using Graph Analytics in crypto & web3, with $536M raised. Blockchain analysis and crypto compliance Followed by TRM Labs ($220M).
How does Graph Analytics compare to other AI technologies in crypto & web3?
In the Crypto & Web3 segment, Graph Analytics ranks #6 out of 8 AI technologies by adoption, with 3 companies and $756M in combined funding. The most widely adopted technologies in crypto & web3 are Infrastructure (28 companies, $1.1B funded); Agentic AI (8 companies, $153M funded); LLM / NLP (7 companies, $85.3B funded). While Graph Analytics focuses on graph neural networks for network analysis and relationship detection, alternative approaches include Infrastructure, which ai/ml infrastructure, compute networks, and tooling, and Agentic AI, which autonomous ai agents that execute actions independently.