Brand Protection

Use AI to detect and enforce against counterfeit products and brand infringements

Business impact

• Brand trust — Increases as counterfeit products are removed and authenticity is enforced
• Customer satisfaction — Improves due to higher product authenticity and safer purchases
• Fraud reduction — Decreases counterfeit listings and scam websites through AI monitoring
• Revenue protection — Preserves sales by preventing loss to counterfeit and unauthorized sellers
• Response time — Speeds up takedown and enforcement actions against infringements
• Detection accuracy — Enhances identification of genuine threats while reducing false positives
• Operational efficiency — Automates monitoring and enforcement workflows, reducing manual effort

Data requirements

• Product listings and marketplace data (Text) — Used to monitor and identify counterfeit or infringing items
• Trademark and IP portfolio data (Structured) — Provides reference for authentic brand assets and infringement detection
• Web and domain monitoring data (Text) — Detects suspicious websites, phishing pages, and cybersquatting activities
• Image data from product photos (Image) — Enables AI image scanning to identify counterfeit visual features
• Mobile camera inputs (Image) — Supports real-time authentication via digital scanning and verification
• User interaction and verification logs (Numeric) — Tracks product scans and suspicious activity patterns for anomaly detection

AI methods and techniques

• Predictive AI — Predicts potential counterfeit threats and suspicious seller behavior
• Generative AI — Generates similarity scores and relevance filtering for infringement alerts
• Symbolic AI — Applies rule-based enforcement workflows linked to trademark data

AI models and model families

GPT-4o, Claude, Llama, TrueMed AI-powered digital authentication technology

Industries

Real-world evidence

3 documented case studies on record.

Companies using this: Alliance Pharmaceuticals, Amazon, Walmart.