Digital Asset Claims Investigation Technology
Every layer below produces a candidate output — a normalised record, a cluster, a graph edge, a flag. None of them produces a finding. A finding exists only after a named analyst has reproduced the result from primary sources and graded it on the evidence scale used across the firm.
AI-Supported Investigation
Pattern detection, clustering and anomaly flagging, with a named analyst reviewing every output.
Blockchain Analytics
Clustering, heuristics and tagging applied to public ledger data, with each inference recorded separately.
Evidence Graph Technology
A graph in which every edge carries the source that created it and the confidence assigned to it.
On-Chain Data Pipeline
Ingestion and normalisation of ledger records, reconciled against a second independent source.
Network and Infrastructure Analysis
Hosting, routing, domain and certificate records, analysed only from lawfully observable sources.
OSINT Collection Systems
Collection and capture tooling that dates and preserves every public source used in a case.
Data Integrity and Custody
Hashing, versioning and handling records so material can be shown unchanged since collection.
Reporting and Visualisation
Timelines, flow diagrams and source indexes generated from the graded case record itself.
Research Methodology
Reproduction, second-source testing and adversarial review applied to every tooling output.