VetVision AI

A spin-out company from The University of Nottingham

What We Do

Animal health and welfare is at the centre of what we do; we believe in improving the lives of animals for optimum health and welfare

Vet Vision AI provides a new level of continuous veterinary monitoring; combining machine vision technologies and cutting-edge data analytics to unlock insights into animal behaviour

We translate animal behaviour into health and welfare alerts and/or management tools, enabling you to take pride in improving the health and welfare of your animals

Continuous Veterinary Monitoring

Using low-cost and easy installation cameras optimised for 24 hour animal monitoring, Vet Vision AI provides the instructions so you can set up cameras on your premises to suit your needs.

Clear Insights

Accurate data and artificial intelligence provides novel insights into animal behaviour which are translated into real-time health and welfare alerts and/or benchmarking reports.

Better Decision Making

Insights allow you to make better decisions and management improvements that benefit your animals health and welfare.

Veterinary Monitoring for Herd Health

Around the world, farmers, vets, and farm advisors are working hard to ensure their animals are healthy and happy. However, checking animals visually takes time, is infrequent and can be subjective.

Research at the School of Veterinary Medicine and Science at Nottingham University has developed algorithms that measure cattle health and welfare without any need for manual input. We have developed these algorithms into practical, deployable solutions for use by veterinary advisors and farmer groups.

Our products provide farmers with accurate data allowing them to prove their high standards and add value to what they produce. Backed by a veterinary team, our aim at Vet Vision AI is to help enable healthier, happier livestock which are more productive and produce less emissions- a win-win for farmers, farm advisors and consumers.

If you want to find out more about how Vet Vision AI can help with your herd we are here to help. Please get in touch.

Meet Our Team

Dr Charles Carslake


Charles combines a clinical veterinary background, a precision livestock technologies PhD and an infectious enthusiasm for using tech to improve livestock health and welfare. He is hugely excited by the potential of computer vison to help transform livestock health and welfare for the better.

Dr Robert Hyde


Robert has an enviable skillset that combines expertise in machine learning and computer vision with specialist skills in veterinary science, gained over years of hands-on veterinary experience and a European Diploma in Bovine Health Management. As Assistant Professor in Computational Biology, Roberts’ research focusses on the development of machine vision algorithms to improve cattle health and welfare, and making tools that are practical and easy for vets and farmers to use.

Mr Steve Ellis


Steve has 30 years leadership experience in the Agri Food and Drink industries. He has led major meat processing & agricultural companies in both Poultry and Pork such as 2 Sisters Food Group, the UK’s largest poultry processing business. Steve brings his vast experience to bear at Vet Vision AI joining the team as Chairman where he guides business development and strategy.

Prof Martin Green

Principal Scientific Advisor

Martin has had a hugely distinguished career as one of the most impactful veterinary researchers globally. Throughout, he has consistently translated his research into on farm impacts, improving the lives of millions of dairy cattle. Awards for his work include British Veterinary Association’s Dalrymple-Champneys Cup and Medal for outstanding contributions to the veterinary profession. At Vet Vision AI, Martin helps guide the team to deliver highly innovative, evidence-based products that make a positive impact to livestock health and welfare.

Luke O'Grady

Scientific Advisor

Alongside being a distinguished veterinary researcher, Luke has valuable expertise in developing decision support tools linking farm data to machine learning models of dairy cow performance, farm profitability and greenhouse gas emissions, facilitating true sustainability and profitability of dairy farms. At Vet Vision AI, Luke guides the integration of ML algorithms into applications that help uplift farm profitability and sustainability.

Laura Randall

Scientific Advisor

Laura is an experienced veterinary surgeon and leading researcher in cattle health and welfare where she develops novel diagnostic approaches through metabolomic profiling and machine learning. Laura combines her research career with industry engagement where she works to help improve cattle health and welfare. At Vet Vision AI, Laura helps align product development to meet industry needs.

Get in Touch

If you are interested in learning more about the benefits that Vet Vision AI could provide for you, please use the contact form to get in touch and a member of our team will respond as quickly as possible.

    Vet Vision AI Limited

    Ingenuity Centre Innovation Park, Triumph Road, Nottingham, England, NG7 2TU

    Company number 15132981