Every engagement runs on the same evidence-first methodology across our three pillars: Digital Investigations, Computer Forensics, and Research & Innovation. Whether you're an individual victim, a law firm, or a regulated institution.
Professional investigative and forensic services for cryptocurrency-related and digital financial crime matters, built to hold up with law enforcement, counsel, and regulators.
Exchange hacks, rug pulls, investment fraud, and NFT scams, traced across chains to wallet clusters tied to perpetrators.
De-anonymizing mixing services, chain-hop laundering, and layering activity from dirty wallet to cash-out point.
OFAC-sanctioned wallet exposure, darknet flows, and DeFi bridge exploits, built into investigative packages for LE or litigation.
Investigative reports, expert witness testimony, and chain-of-custody documentation built for civil litigation and asset recovery actions.
Ongoing monitoring and alert infrastructure for exchanges, VASPs, and legal counsel, detecting new activity on flagged addresses.
Transaction reviews, wallet attribution, and SAR-supporting intelligence so your compliance function stays ahead of risk.
Across Digital Investigations engagements, clients have received wallet cluster attribution reports and fund-flow visualizations, mixer de-anonymization findings tracing dirty funds to cash-out points, OFAC exposure screening memos and darknet flow maps, court-ready investigative reports with expert witness testimony prep, real-time alerting on flagged-address activity, and SAR-supporting transaction review memos, every output built to hold up with law enforcement, counsel, and regulators.
Digital evidence acquisition, forensic examination, malware triage, OSINT, dark web intelligence, and incident reconstruction, applied wherever a case calls for it.
Forensically sound imaging of devices, wallets, and cloud accounts, documented end to end so evidence survives cross-examination.
Dead-box and mobile examination using court-recognized methodology to recover deleted wallets, messages, and transaction history.
Static and behavioral analysis of malicious code used in wallet-drainer, ransomware, and exchange-breach incidents.
Open-source and dark web monitoring to identify the humans and infrastructure behind a wallet address.
Every Computer Forensics engagement produces a documented chain-of-custody log with forensic image hash verification, a full device examination report with recovered artifacts, a malware triage summary with incident timeline, and an entity attribution dossier tying wallet addresses back to real infrastructure, all built on the same evidentiary standard used in traditional digital forensics casework.
Advancing investigative methodologies for emerging threats: AI-assisted fraud, synthetic identity, deepfake documents, deepfake audio, digital identity manipulation, and next-generation investigative techniques.
Identifying behavioral and technical fingerprints left by AI-orchestrated scam operations, from scripted chats to automated wallet drains.
Assessing fabricated identity documents and synthetic-identity onboarding used to defeat KYC and exchange verification.
Authenticating voice and video media at the center of impersonation scams, executive fraud, and manipulated evidence claims.
Ongoing methodology research so new laundering typologies, chains, and fraud schemes are met with a tested approach, not a first attempt.
Research & Innovation engagements deliver behavioral anomaly reports flagging AI-orchestrated activity, document authenticity assessments for KYC and onboarding disputes, media authentication reports for voice-clone and deepfake video claims, and methodology briefings on emerging typologies, keeping clients ahead of threats before they become the next widespread scheme.
On-chain findings are only as strong as the evidence trail behind them. Computer forensics is not an add-on to our investigations, it is the discipline that makes the rest of the methodology defensible.
Tracing assets across Bitcoin, Ethereum, Tron, and all major EVM chains, identifying wallet clusters, attributing addresses, and mapping fund flows from origin to destination.
Every device, wallet, and account is acquired and documented under the same chain-of-custody discipline used in digital forensics broadly, so findings hold up under cross-examination.
Open-source intelligence layered with blockchain data to identify exchanges, mixers, and entities behind wallet addresses across jurisdictions and asset classes.
Ongoing research into AI-assisted fraud, deepfakes, and synthetic identity so our methodology evolves with the threats, not after them.