Klaimed builds vision models that match products the way a human expert would — and explain each match, feature by feature. Delivered as structured detection data to brand protection platforms and marketplaces that act on it.
Vision intelligence that finds the product, explains the match, and ships into your platform — not a tool your team logs into, a data layer your system runs on.
Our vision models build a representation of each product from its structural attributes — and retrieve similar products, regardless of angle, colorway, or context. Not perceptual hashing. Not pixel matching.
Every match returns the visual features that align and diverge — feature by feature, ready to use as reporting evidence. Explainability not just a similarity score.
Structured detection records — URL, confidence, attribute reasoning, evidence image, product data — returned through one API, ready to ingest. Built for brand protection platforms, IPMS vendors, and marketplaces.
One API. Your catalog in, structured detections out. Everything in between — visual matching, attribute reasoning, signal scoring — runs on our infrastructure.
Send image URIs and product metadata for the items you want to monitor. The catalog is indexed visually and structurally — each reference becomes a queryable target.
Stream in your own scraped listings — image URI plus listing metadata — or hand off collection to us. Either way, the input contract is the same: visual content and associated signals.
Vision models retrieve visually similar listings. Attribute-level reasoning explains every match. Price, seller, and listing signals score the likelihood of counterfeit or grey-market activity.
For each reference, an array of matched listings — URL, similarity score, matched attributes, counterfeit flag, signal breakdown. All in JSON. Ready to ingest.
Visual, lexical, text-anomaly, and behavioral signals in a single detection workflow. Blend multiple relevance signals through one API call, then let built-in scoring rank what matters.
Visual embeddings capture product identity, surfacing matches — even when listings share no text in common.
Lexical indexes match registered marks, product names, and known variants directly on listing text.
Full-text indexing surfacing the misspellings, lookalike marks, and obfuscation patterns counterfeiters rely on.
Price, seller, and listing patterns are indexed alongside content — flagging the anomalies that visual and lexical signals alone can't catch.
Klaimed plugs into brand-protection platforms, IPMS vendors, and marketplace trust & safety stacks — and makes each one measurably more valuable to its customers.
"The visual similarity is strong on its own. What makes it truly unique for brand protection is being able to see exactly why two images match — feature by feature."
Same JSON schema across every delivery method. Your engineers integrate once and we ship the data to whichever endpoint your platform consumes.