AI Technology
Graph Analytics in Finance
Graph neural networks for network analysis and relationship detection
Segments
Market Segments
Directory
Chainalysis
Blockchain analysis and crypto compliance
TRM Labs
Blockchain analytics for crypto fraud/AML
Nansen
AI blockchain analytics platform
Arkham
Blockchain analytics + exchange; “AI” used to link entities to wallets
Pond
Crypto prediction with GNNs
LunarCrush
Social intelligence signals across crypto/stocks; API + dashboards
Frequently Asked Questions
How is Graph Analytics used in finance?
Graph neural networks for network analysis and relationship detection In the financial sector, Graph Analytics is applied across 4 market segments. The most common are Crypto & Web3 (3 companies), Research & Data (3 companies), Risk & Compliance (2 companies). 7 companies in the AIFI directory use Graph Analytics, with $871M in combined funding.
Which financial companies use Graph Analytics?
7 companies in the AIFI directory use Graph Analytics. Chainalysis: Blockchain analysis and crypto compliance. TRM Labs: Blockchain analytics for crypto fraud/AML. Nansen: AI blockchain analytics platform. And 3 more.
How many companies use Graph Analytics in finance?
The AIFI directory tracks 7 financial companies using Graph Analytics, with a combined $871M in funding raised. These companies span the technology stack: Data (5), Automation (3), Models (3), Applications (1). (Source: AIFI Map directory.)
What is the most funded Graph Analytics finance company?
Chainalysis is the most funded Graph Analytics company in the AIFI directory, with $536M raised. Blockchain analysis and crypto compliance Other highly funded Graph Analytics companies include TRM Labs ($220M), Nansen ($88M), Arkham ($12M).
What market segments use Graph Analytics?
Graph Analytics is used across 4 market segments in financial services. Crypto & Web3: 3 companies. Research & Data: 3 companies. Risk & Compliance: 2 companies. Trading & Markets: 1 companies.