Redognition cross-references dog and cat photos across your databases — reuniting lost pets with owners, catching duplicate intake records, and verifying animal identity for claims. One API call, no manual review queue.
Link your records via REST API or nightly batch sync — no schema migration required.
A new intake or claim photo is embedded by our vision model and submitted to the match endpoint.
The API returns ranked candidates with confidence scores in under a second.
Automatically flag duplicate intake records and cross-check new arrivals against your existing database, cutting manual review time.
Verify a claimed animal matches prior records across vet visits and claims, helping reduce fraudulent submissions.
Also used for lost-and-found pet platforms, municipal animal control and stray population tracking, and adoption platform matching.
A vision model trained specifically on dog and cat identification, tuned for high-confidence ranked matches.
A single REST endpoint and clear developer docs — most teams are live within a week.
Per-organization private indexes handle millions of records without added query latency.
Replace manual, eyeballed photo comparison with an automated first pass your team can review in seconds.
Tell us about your organization and we'll set up a technical walkthrough of the API and a sample match run against your own records.
Thanks — we'll be in touch within one business day.