Comparable welfare context
See behaviour patterns in a consistent language across farms, yards, sites, and supplier groups.
Supply Chains
Vet Vision AI helps retailers and supply chains turn continuous animal behaviour monitoring into practical evidence for supplier programmes, welfare reviews, and partner conversations.
Why supply chains use it
Retailers, processors, and supplier groups already invest in welfare programmes. The difficult part is getting comparable day-to-day evidence. Leave that to us.
See behaviour patterns in a consistent language across farms, yards, sites, and supplier groups.
Add day-and-night behaviour evidence to the moments that routine visits, assessments, and manual checks can miss.
Give farms, vets, assurance teams, and agricultural managers the same baseline before deciding what should change.
Your data stays yours. Footage from your site is stored securely, encrypted in transit and at rest, and is never sold. Nothing is shared with third parties without your permission. We are UK GDPR compliant and provide clear data processing agreements for every deployment.
Our AI models are built to a scientific standard. Every model is validated on footage it has never seen before, including animals and locations entirely absent from training, so performance figures reflect real-world conditions rather than lab results. Models are developed by veterinary researchers, benchmarked against expert assessment before deployment, and monitored continuously on live sites.
Vet Vision AI is a University of Nottingham spin-out founded by practising vets.
Consistent welfare context
Give suppliers, vets, assurance teams, and agricultural managers the same evidence framework, while retaining the site context needed to interpret welfare fairly.

Built for distributed programmes
Continuous monitoring has to work across active farms, varied housing, and distributed supplier groups. M&S has committed to deploying Vet Vision AI across every M&S dairy farm. Sainsbury's has also reported a 30-farm Dairy Development Group trial.
See retailer programmesProgramme design
Supply-chain welfare programmes work when the data is consistent, but the rollout still respects the reality of each site. Vet Vision AI is designed to make both true.
01
Start with the programme outcome: Cow Comfort, lying time, group behaviour, space use, recovery context, or another welfare question your team needs to evidence.
02
Coverage is shaped around housing, routines, supplier geography, seasonality, and the people who will actually use the reporting.
03
Continuous monitoring establishes ordinary patterns before teams interpret change, compare sites, or review whether an intervention helped.
04
Programme reporting can support welfare reviews, supplier engagement, and public narratives while keeping claims specific to the data and partner sign-off.
Public reporting
Sainsbury's is running a 30-farm Vet Vision AI trial. M&S has committed to deploying Vet Vision AI across all its dairy farms.
Operating principles
The deployment starts with the welfare outcome and the workflow around it, not with selling cameras for their own sake.
Access, reporting, supplier communication, and data use are agreed as part of the programme design.
Vet Vision AI supports existing vets, assessors, farm teams, and welfare programmes. It does not replace professional judgement or certification.
Start with the sites where the welfare question is clearest, then expand once the reporting rhythm and value are understood.