Sapphire Trace is an AI-native blockchain intelligence platform that automatically traces illicit cryptocurrency movements for law enforcement, government agencies, and financial institutions. Using frontier AI, machine learning, and graph neural networks, it maps laundering networks across 21 blockchains with transparent, court-ready evidence. The platform is designed so non-specialists can investigate complex crypto cases on day one.
Funding
Funding not disclosed
Founders
Product
Problem
Illicit cryptocurrency activity moves at machine speed through automated laundering chains, mixers, and cross-chain hops, while investigative tools remain human-intensive and require specialized analysts. This creates a capacity gap where cases go unworked not because evidence is absent on-chain, but because most agencies lack enough trained specialists to trace it manually.
Solution
Sapphire Trace provides an AI-native blockchain intelligence platform that automates the mechanical work of investigations—tracing, clustering, and cross-referencing—so small teams can carry caseloads that previously required entire departments. The platform uses frontier AI, machine learning, and graph neural networks to surface emerging, undocumented laundering networks before they appear on any blocklist. Every conclusion is transparent and legally defensible, opening up to show its evidence with citations, coverage statements, and explicit uncertainty, making it a "glass box" rather than a black box. The system is designed for simplicity, allowing a police officer on their first crypto case to get useful, safe answers on day one without extensive training.
Target Audience
Primary customers are law enforcement agencies, government and public-sector bodies, law firms, private investigators, virtual asset service providers (VASPs), and Web3/DeFi companies needing blockchain forensic intelligence for investigations and compliance.
Features
- Graph-neural-network risk engine with 99.9% recall of illicit transactions in testing, with precision hardening in progress
- Autonomous fund tracer validated end-to-end against the Colonial Pipeline case
- Cross-chain tracking across 21 chains, closing gaps that let actors chain-hop
- Full-chain ownership-clustering store and open-source intelligence corpus for ecosystem-scale identification
- Explainable AI output with traceable citations, coverage statements, and calibrated attribution language for evidentiary and regulatory standards
- Single question-box interface that makes complex investigations accessible to non-specialists