Deep on-chain investigation using transaction graph analysis, wallet clustering, and entity attribution. Turning raw blockchain data into actionable intelligence.
The blockchain is a permanent public ledger. Every transaction is recorded — but reading that record at scale, connecting wallet relationships, and extracting intelligence from it requires specialized methodology. That's blockchain forensic analysis.
Unlike a simple transaction lookup, forensic analysis involves tracing across multiple hops, identifying when funds pass through obfuscation layers (mixers, bridges, chain-swaps), clustering wallets controlled by the same actor, and attributing on-chain behavior to real-world entities — exchanges, businesses, or individuals.
Mapping the full flow of funds through every hop — splitting, consolidating, and bouncing across wallets — to track where assets ultimately land.
Identifying multiple wallets controlled by the same entity using co-spend analysis, behavioral patterns, and input/output heuristics.
Recognizing when funds pass through CoinJoin, Tornado Cash, cross-chain bridges, and other obfuscation methods — and continuing the trace beyond them.
Identifying deposits into centralized exchanges — the critical endpoint for KYC disclosure requests, subpoenas, and law enforcement action.
Individuals who lost cryptocurrency to scams and need documented evidence of where their funds went for law enforcement or legal action.
Legal counsel requiring technically rigorous on-chain analysis to support civil litigation, asset freezing applications, or discovery requests.
Investigators who need a forensic foundation to build cases, pursue exchange subpoenas, or coordinate internationally on crypto fraud matters.
Organizations needing AML-related transaction reviews, counterparty due diligence, or post-incident forensic documentation.