By TRM Labs has raised additional funding at a $2 billion valuation, doubling its valuation in seven months as the Chainalysis competitor expands its blockchain intelligence business into a broader artificial-intelligence platform for investigating financial and cybercrime. The San Francisco-based company announced the Series C expansion on September 9.
Blockchain Capital led the investment after also leading TRM’s $70 million Series C in February, which valued the company at $1 billion. TRM did not disclose how much capital it raised in the latest transaction. CEO and co-founder Esteban Castaño described the amount as “modest” in an interview with Fortune and said the capital came from existing investors. Rather than raising a large new round, the financing effectively establishes a new $2 billion benchmark for the company’s equity.
Revenue Quadruples as TRM Approaches $100M ARR
The higher valuation follows substantial revenue growth. TRM says annual recurring revenue has quadrupled during the past three years, while Castaño expects ARR to cross $100 million within weeks. The company employs approximately 500 people and maintains operations in San Francisco, Washington, London and Singapore. TRM initially built its business around blockchain intelligence, providing tools that allow governments, financial institutions and crypto companies to trace cryptocurrency transactions and identify illicit networks. Its customers now include more than 600 government agencies and private-sector institutions across 75 countries.
The company competes directly with Chainalysis and Elliptic in a market that has grown alongside institutional crypto adoption, sanctions enforcement and increasingly sophisticated digital-asset crime. TRM’s February funding round included investors such as Goldman Sachs, Citi Ventures, Bessemer Venture Partners, Thoma Bravo, Galaxy Ventures and Brevan Howard Digital. At the time, the company said revenue had grown by an average of more than 150% annually over the preceding five years.
AI Crime Becomes Second Growth Engine
TRM is now trying to extend that infrastructure beyond cryptocurrency. Castaño describes artificial intelligence as a “second growth engine” rather than a pivot away from blockchain analytics. The company is preparing an investigations platform designed to identify criminal networks using both onchain and offchain data. TRM plans to publicly unveil the platform in November, targeting areas including AI-enabled financial fraud, deepfake scams, sextortion and other digitally coordinated criminal activity. The strategy reflects how rapidly AI is lowering barriers for cybercriminals.
TRM says criminal adoption of artificial intelligence increased approximately 40% year over year in 2026, while losses reported to the FBI’s Internet Crime Complaint Center reached $21 billion in 2025, up from $16 billion a year earlier. The company argues that cryptocurrency provides an unusually useful starting point for mapping these networks because many otherwise unrelated criminal organizations eventually interact with blockchain-based financial infrastructure. Government demand is also becoming increasingly material. U.S. Immigration and Customs Enforcement awarded TRM a contract worth approximately $95 million this summer for forensic software and support used in Homeland Security Task Force investigations. That contract alone approaches the annual recurring revenue milestone TRM expects to reach shortly, although government contract ceilings and ARR are different metrics and should not be compared directly.
The latest financing therefore represents more than another crypto-sector valuation increase. TRM reached a $1 billion valuation in February after eight years of building blockchain investigation tools. Seven months later, investors are valuing it at twice that amount as management argues the same data, government relationships and investigative infrastructure can address a much larger market. Whether the $2 billion valuation holds will depend increasingly on that expansion. TRM no longer wants to be valued solely as a competitor to Chainalysis. It is betting that tracing cryptocurrency transactions can become the foundation for mapping criminal networks across the broader AI-driven digital economy.