AI-native automation
No reliance on manual forensic tracing. We scale investigative capacity without expanding analyst headcount.
Sapphire Trace maps the movement of illicit cryptocurrency using frontier AI, machine learning and graph neural networks to surface the networks legacy tools miss.
We build frontier technology for the people who stop crime.
Large language models contextualise unstructured threat data and transaction patterns, reading intent beyond ledgers. Autonomous agents do the mechanical work of an investigation.
Advanced machine learning, including cutting-edge graph neural network models, maps the movement of funds, automatically uncovering obfuscation methods and surfacing laundering networks, before they hit static blocklists.
Every conclusion is transparent, legally defensible and built to evidentiary and regulatory standards for court and compliance. Sapphire Trace is a glass box, not a black box.
Married together: ecosystem-scale identification and attribution is usable by a non-specialist on day one.
Sapphire Trace does much more than hand you a verdict — it hands you the case behind it: every risk score, attribution and traced hop carries citations to the on-chain structure and intelligence sources that produced it.
Nothing is a black box, so what you find, you can prove. In front of a regulator or in court, you know exactly where the intelligence came from, and you can show it.
No reliance on manual forensic tracing. We scale investigative capacity without expanding analyst headcount.
GNNs surface emerging, undocumented laundering networks before they appear on any blocklist.
Tracks obfuscated funds across blockchains, closing the gaps that let actors chain-hop.
Usable out of the box on your first crypto case. Complexity lives within the platform.
Explainable AI and source citations throughout, with outputs built to evidentiary standards.
Built by investigators who know the workflows of law enforcement, intelligence and compliance.