Supply Chains

Welfare evidence your supply chain can stand behind.

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

Evidence between visits, without another reporting burden.

Retailers, processors, and supplier groups already invest in welfare programmes. The difficult part is getting comparable day-to-day evidence. Leave that to us.

Comparable welfare context

See behaviour patterns in a consistent language across farms, yards, sites, and supplier groups.

Evidence between visits

Add day-and-night behaviour evidence to the moments that routine visits, assessments, and manual checks can miss.

Objective supplier conversations

Give farms, vets, assurance teams, and agricultural managers the same baseline before deciding what should change.

Data security and trust

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

A shared welfare view across every programme site

Give suppliers, vets, assurance teams, and agricultural managers the same evidence framework, while retaining the site context needed to interpret welfare fairly.

Consistent measures
Apply shared welfare indicators and reporting definitions across supplier sites.
Fair comparisons
Keep housing, routines, and seasonal context visible when teams review change.
Clear programme insight
Support welfare reviews, supplier conversations, and programme improvement with consistent evidence.
Vet Vision AI team members reviewing dairy welfare data beside cows in a barn

Built for distributed programmes

Multi-farm rollout

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 programmes

Programme design

Comparable evidence, built around each farm.

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

Define the welfare question

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

Plan the Rollout

Coverage is shaped around housing, routines, supplier geography, seasonality, and the people who will actually use the reporting.

03

Build a fair baseline

Continuous monitoring establishes ordinary patterns before teams interpret change, compare sites, or review whether an intervention helped.

04

Report with confidence

Programme reporting can support welfare reviews, supplier engagement, and public narratives while keeping claims specific to the data and partner sign-off.

Operating principles

Welfare monitoring that helps improve welfare, not just a press release.

Welfare-led

The deployment starts with the welfare outcome and the workflow around it, not with selling cameras for their own sake.

Clear data boundaries

Access, reporting, supplier communication, and data use are agreed as part of the programme design.

Built around existing teams

Vet Vision AI supports existing vets, assessors, farm teams, and welfare programmes. It does not replace professional judgement or certification.

Go live, prove, expand

Start with the sites where the welfare question is clearest, then expand once the reporting rhythm and value are understood.

Make welfare easier to evidence.