Built for the Evidence Burden of Animal Health
OneKind builds AI systems for environments where outputs must be traceable, reproducible, and defensible — not just accurate.
Built in the Harder Environment First
The problem wasn't performance. It was proof.
We started in production animals — building computer vision in feedlots and ranches where conditions are uncontrolled and nothing is ideal. That forced us to build systems that are robust, not brittle. The same discipline now underpins everything we do in companion animal clinical trials.
The deeper problem we saw wasn't the AI — it was the evidence. Behavioral endpoints are still captured manually, creating variability and a reproducibility gap that regulators can't ignore. Every result needs to be traceable, every inference replayable. That's what we set out to build.
Proven in Active Study Environments
Validated against expert annotators across multiple independent credibility tests. Study-level conclusions consistent with human scoring across all validated deployments.
Figures reflect cumulative clinical deployments since 2023. Specific study details withheld for client confidentiality.
Recipient of Canada’s AI Compute Access Fund
OneKind AI was selected as one of 44 Canadian companies in the first cohort of the AI Compute Access Fund — launched under Canada’s Sovereign AI Compute Strategy — administered by Innovation, Science and Economic Development Canada (ISED). The fund helps Canadian SMEs offset the cost of high-performance computing to build and scale AI. Our infrastructure is Canadian, our customers are global.
Pruritus Was First. The Platform Extends Across Species and Endpoints.
Every new indication meets the same auditability and reproducibility standards as the first.
We're building infrastructure that lasts — for animal health today, and wherever regulated AI goes tomorrow.
OneKind is building the measurement and evidence infrastructure required for the next generation of animal health studies.