TRM Labs raises $70M Series C at a $1B valuation to scale AI crime-fighting tools

TRM Labs says it has closed a $70 million Series C funding round that values the blockchain intelligence firm at $1 billion, as it pushes deeper into AI-enabled tools used by law enforcement, national security teams, and financial institutions. The company announced the round on Feb. 4, 2026, framing the raise as fuel for scaling an AI platform built to counter crypto-linked crime and broader national security threats.

The round was led by Blockchain Capital — which TRM notes also led its pre-seed round in 2018 — and includes a long list of returning backers alongside a new strategic investor, Galaxy Ventures.

Who funded it — and why TRM says it matters now

In TRM’s telling, the timing is about two things happening at once: more money moving on-chain, and more illicit actors scaling up with automation. The company argues that ransomware groups, terrorist financiers, transnational criminal networks, and scam operators are increasingly using programmatic money laundering and AI-driven social engineering — and that defenders need tools that work in “high-consequence environments,” where accuracy and defensibility are non-negotiable.

TRM also points to its business momentum, saying revenue growth has averaged more than 150% annually over the past five years. It says its customer base spans law enforcement and national security agencies in 50+ countries, plus private-sector names including Circle, Coinbase, Cross River Bank, PayPal, Robinhood, Stripe, and Visa.

Where the money is going (the practical read)

TRM breaks the Series C plan into three buckets — and they’re pretty revealing about where blockchain intelligence is headed:

• More specialized talent: expanding teams across AI research, data science, engineering, and domain expertise in investigations and national security.
• AI-enabled compliance: pushing tools that help institutions manage financial crime risk more efficiently, including speeding up workflows like alert handling and risk exposure assessment.
• AI-powered investigations: improving capabilities to identify and disrupt illicit activity by strengthening linkages between on-chain and off-chain behavior.

That last point is the quiet tell: the company isn’t just selling “crypto tracing.” It’s positioning itself as the connective tissue between what happens on-chain and what happens in the real world — which is exactly where most hard cases live.

What they’re saying

CEO and co-founder Esteban Castaño leaned into the “where AI is applied matters” argument, saying

TRM is building AI for problems with real consequences for public safety, financial integrity, and national security — and that the funding expands what the team can build alongside institutions “on the front lines.”

From the investor side, Blockchain Capital’s Spencer Bogart described TRM as mission-critical software sold into demanding buyers across government and regulated finance — a nod to the reality that procurement friction can be a moat if you survive it.

TRM also included supportive quotes from Goldman Sachs and Bessemer Venture Partners, both describing TRM as foundational infrastructure for institutions operating with distributed ledger technologies.

The “so what” for crypto

This isn’t a token launch or a new chain. But it matters for the crypto industry’s operating environment:

• Compliance spend is becoming AI spend. TRM is explicitly investing in AI to speed up compliance workflows and investigations — areas where costs and headcount are often the bottleneck.
• On-chain crime response is industrializing. The narrative here is that illicit actors are scaling with automation, and defenders are responding with automation too.
• More institutional rails means more scrutiny. As crypto and stablecoin activity becomes more integrated with banks and payments firms, the demand for tools that satisfy “defensibility” and oversight tends to rise, not fall.

What happens next

A few concrete signals to watch based on TRM’s announcement:

• Hiring ramp: TRM says it’s hiring across applied AI, machine learning, engineering, data science, go-to-market, and operations.
• Product traction in “AI-enabled compliance”: the company specifically calls out accelerating workflows like alert disposition — a measurable area where institutions will look for ROI.
• Expansion of investigations capabilities: especially anything that strengthens ties between on-chain attribution and off-chain activity, since TRM highlights that as a focus.

Source: TRM Labs — “TRM Labs Announces $70M Series C to Scale AI Solutions to Disrupt Criminal Networks and Counter National Security Threats”