Purpose-built for counterfeit supply chains

See what one investigation cannot.

Secure consortium intelligence. Organizations gain the network view without relinquishing ownership or control of their proprietary investigation data.

Isolated investigations miss the network.

Counterfeiters reuse the same logistics providers, shell companies, warehouses, freight forwarders, brokers and transshipment routes across brands and industries. Each organization sees only its own slice.

What you see today

Your own suspicious shipments, suppliers, seizures and internal intelligence — accurate, but incomplete when viewed in isolation.

What remains hidden

Recurring infrastructure and behaviour that only becomes visible when anonymized signals from multiple organizations are correlated.

Anonymous intelligence layer.

Members contribute customer-controlled, anonymized datasets. Draco correlates recurring infrastructure and investigative patterns while protecting commercial confidentiality.

Company A
Investigation data
Company B
Investigation data
Company C
Investigation data

Anonymous Intelligence Layer

Aggregated · Anonymized · Customer-controlled

Stronger corroboration
Earlier detection
Higher confidence

No raw data shared  ·  Customer identity protected  ·  Ownership retained

Evidence over black boxes.

Every alert is backed by a named detection rule and a complete evidence chain. The same input always produces the same analytical result.

Rule-based detection

Deterministic graph analytics and weighted rules. No opaque risk scores.

Full traceability

Named detection rules and evidence chains for every alert.

Reproducible results

Identical inputs always yield identical analytical outputs.

AI as assistant only

AI explains and recommends. It never determines detections or calculates risk.

Detect. Prioritize. Act.

Detect

  • Transshipment and diversion networks
  • Shell companies
  • Hidden supply-chain relationships
  • Recurring logistics infrastructure
  • Suspicious shipment patterns

Prioritize

  • High-risk shipments
  • Evidence-based confidence scoring
  • Investigator review queues
  • Actionable intelligence packages
  • Repeatable analytical results

Your data never leaves your control.

Customers decide what is shared, how it is anonymized, and how long it is retained. The platform is designed so that commercial confidentiality is structural, not contractual.

Customer-Controlled Data

  • Customers determine which datasets are exported
  • Datasets are anonymized before upload
  • No direct connection to ERP or operational systems required
  • Customers retain ownership of all submitted data
  • Reports generated only from authorized datasets

Production Security Commitments

  • TLS in transit · AES-256 at rest
  • Per-tenant encryption key separation
  • Role-based access · immutable audit logging
  • Multi-layer anonymization · SHA-256 evidence fingerprints
  • Cross-tenant leakage testing before every release
  • GDPR/CCPA-aligned minimization · customer-defined retention
The demonstration platform already proves core isolation semantics through tenant-keyed ingest, per-tenant reporting surfaces, and automated cross-tenant leakage testing. The commitments above describe the intended production architecture.

Start with a bounded pilot.

Every engagement begins with a limited pilot using customer-selected, anonymized datasets. Organizations validate analytical value, governance, security and reporting quality before broader deployment.

Request a Demonstration

Project Draco is one intelligence application within the Constellation platform. It applies Constellation’s principles of deterministic analytics, explainable intelligence, reproducibility, customer-controlled data governance and enterprise security to counterfeit and intellectual-property supply-chain investigations.