Powered by AI.
Verified by humans.
Our detection infrastructure runs continuously across 500+ platforms. Every flag it raises is reviewed by a specialist before a single notice is sent. That combination is what produces a 98.4% removal rate.
Four systems. One pipeline.
Multi-platform scanning
Continuous monitoring across 500+ marketplaces, torrent indexers, social networks, domain registries, and app stores. Our crawlers run on a 4-hour cycle for tier-1 platforms and daily for long-tail sources. New platform integrations are added within 48 hours of a client request — we don't wait for vendor roadmaps.
Image fingerprinting
Perceptual hash matching using a multi-resolution pyramid approach that identifies counterfeit product imagery even when infringers rotate, crop, recolor, or overlay watermarks. Trained on verified counterfeit datasets across 40+ product categories. False-positive rate maintained below 0.3% through a mandatory human-review gate before any notice is filed.
Domain similarity engine
Typosquat and homoglyph detection covering keyboard-adjacency substitutions, Unicode lookalike characters, TLD permutations, and semantic brand variants. Newly registered domains matching any of 200+ generated patterns trigger an automated WHOIS pull, content scan, and risk score — reviewed by an ops specialist within the same business day.
Evidence preservation vault
Every piece of infringement evidence is stored with a SHA-256 hash chain from capture to submission. The vault generates time-stamped PDF packages suitable for DMCA submission, UDRP panels, and US Federal court filings. Evidence is retained for 7 years minimum — long enough to support follow-on litigation years after initial enforcement.
Built for enforcement, not analytics.
Why human-in-the-loop is non-negotiable
Pure AI enforcement fails in the ways that matter most. A model trained on known counterfeits misses novel product categories. A threshold tuned for recall generates false positives that get legitimate listings reinstated and damage your relationship with the platform. An automated notice filed against a licensed reseller triggers a counter-notice that locks your takedown account. Every flag our system raises passes through a human specialist before a single notice is sent. The AI finds the candidates. The attorney decides which ones to pursue. That combination — not either alone — is what produces a 98.4% removal rate with a negligible false-positive rate.
Infrastructure is only as good as the case it runs on.