Brand Protection

Product images and marketplace data identify counterfeit items and scam websites for rapid removal and enforcement.

Business impact

• 15 million counterfeit items removed — Directly reduces fake product circulation, protecting sales and brand trust
• Over 100 scam websites closed — Eliminates fraudulent online presence that harms brand reputation and customer safety
• Counterfeit targeted product lines reduced from 50% to under 5% — Drastically lowers counterfeit penetration in product lines, improving market share

Data requirements

• Product images from mobile phone cameras (Image) — Used for visual authentication and counterfeit detection via image analysis
• Online marketplace listings and website data (Text) — Monitored to identify counterfeit listings and scam websites
• Trademark portfolio and enforcement records (Structured) — Integrated to prioritize relevant infringement cases and automate enforcement
• Supply chain and serialization data (Structured) — Used to verify product authenticity and trace lifecycle
• User interaction and verification logs (Numeric) — Analyzed to detect suspicious patterns indicating counterfeit activity

AI methods and techniques

• Predictive AI — Forecasts potential counterfeit hotspots and suspicious activities from data patterns
• Generative AI — Generates similarity scores and relevance filtering for infringement prioritization
• Symbolic AI — Applies rule-based logic for trademark matching and enforcement workflow automation

AI models and model families

GPT-4o, Claude, Llama

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Alliance Pharmaceuticals, Amazon.