Risk intelligence & AI

What we tell clients about intelligence

Clear capabilities for brand protection teams — without overselling AI.

Risk intelligence & AI

Explainable risk intelligence — authenticity stays deterministic

QR Angadi separates product authenticity from risk intelligence. Verification is decided by server-side rules and lifecycle. Risk scoring and insights help teams triage suspicious activity — without replacing authorization or inventing counterfeit verdicts.

Deterministic verification first

Auth → organization → entitlement → role → scope → lifecycle check. Authenticity is never guessed by a model.

Rules & statistics risk engine

Gen-1 intelligence scores verification activity with explainable signals your team can review.

Explainable signals & score

See why activity looks normal, elevated or high — not a black-box “AI said so”.

Alerts & investigations

Turn signals into cases with evidence, assignment and resolution for brand protection teams.

Permission-filtered insights

Templated reports and insights only use data the signed-in user is already allowed to see.

Responsible AI boundary

AI cannot bypass access controls or directly alter source-of-truth product data.

How intelligence is applied

  1. Authenticate
  2. Org & module entitlement
  3. Role & data scope
  4. Verify authenticity
  5. Score risk signals
  6. Alert / investigate
  7. Human decision

Ready to protect your products?

Your product already has a physical identity. Give it a secure digital one — starting with the module you need.