1
Collect &
standardise
EU-based, machine-readable
We ingest public reporting and partner-safe indicators, then normalise them into a tool-agnostic, machine-readable format (entities + relationships across domains, hosting, registrars, IP space, payment rails).
2
LLM-assisted entity extraction
Speed without losing traceability
LLMs help extract and structure entities (domains, orgs, services, wallets, aliases, infrastructure providers) from large volumes of with provenance preserved so every claim can be traced back to sources.
3
Federated overlap detection
Hit / No-Hit, data stays “at home”
Participants keep sensitive data locally, but can answer a simple question: “Do we see this entity-yes or no?” This reveals infrastructure reuse and blind spots without centralising datasets.
4
Disruption pathway design
Disruption is the KPI
Because the KPI is disruption-not publication-the workflow is built to produce actionable, structured evidence: registrar/hosting interventions, takedown waves, sanctions enforcement pathways, and LEA-ready referrals where appropriate.