Catching the fakes
the eye cannot see.
A counterfeit seal might look identical physically, but mathematically, it behaves like an anomaly. Our AI engine processes millions of scans to identify the subtle fingerprints of a compromised supply chain.
The Four Pillars of Fraud Detection
Re-Scan Velocity (Storms)
When a single QR code is photocopied and placed on 10,000 fake products, it will inevitably be scanned by different consumers in different cities on the same day. Our engine flags this impossible velocity instantly.
Geo-Fencing Irregularities
If a batch of pharmaceuticals is logged as shipped to Mumbai, but the very first scan occurs in Lagos, the system triggers a diversion alert, exposing grey-market distribution.
Time-to-Open Anomalies
Based on historical data for your specific SKU, our models know exactly how many days a product typically spends in transit and on shelves. Scans that occur suspiciously early or late are flagged for review.
Automated Takedowns
Once confidence in a counterfeit cluster hits 99.9%, our APIs can automatically dispatch DMCA and legal takedown notices to e-commerce marketplaces harboring the unauthorized sellers.