Enhancing Animal Welfare Through AI
Computer vision AI developed by vets to take an entirely new approach to animal welfare.
Our Partners
We Believe All Animals Deserve to Thrive
True animal welfare is about more than just health—it’s about understanding animal behaviour, comfort, and happiness. While traditional veterinary assessments are limited to what we can observe during a visit, Vet Vision AI takes a more comprehensive approach. By using AI-driven machine vision and data analytics, our technology provides real-time insights into not only the health of your animals but also how they behave, rest, and interact with their environment.
Vet Vision AI empowers farmers, veterinarians, and welfare groups to go beyond basic care to offer a deeper understanding of animal welfare that considers the whole animal. With our continuous monitoring system, you’ll gain a clearer picture of your animals’ day-to-day lives, ensuring they can thrive—not just survive.
Meet the Team
The team of veterinary experts working to advance animal welfare
Dr. Charles Carslake
Charles combines a clinical veterinary background, a PhD using precision technologies to improve animal health, and an infectious enthusiasm for using tech to enhance animal health and welfare. He is hugely excited by the potential of computer vision to help improve animal health and welfare. At Vet Vision AI, Charles drives our strategy, helping the team create innovative technologies that solve critical challenges in veterinary care.
Dr. Charles Carslake
Charles combines a clinical veterinary background, a PhD using precision technologies to improve animal health, and an infectious enthusiasm for using tech to enhance animal health and welfare. He is hugely excited by the potential of computer vision to help improve animal health and welfare. At Vet Vision AI, Charles drives our strategy, helping the team create innovative technologies that solve critical challenges in veterinary care.
Dr. Robert Hyde
Robert combines expertise in AI and computer vision with specialist skills in veterinary science, gained over years of hands-on veterinary experience as a European and RCVS-recognised specialist veterinary surgeon and as an assistant professor in computational biology. Robert is focused on developing computer vision AI algorithms to improve animal health and welfare and make practical and accessible tools for vets, farmers, and animal owners to use.
Dr. Robert Hyde
Robert combines expertise in AI and computer vision with specialist skills in veterinary science, gained over years of hands-on veterinary experience as a European and RCVS-recognised specialist veterinary surgeon and as an assistant professor in computational biology. Robert is focused on developing computer vision AI algorithms to improve animal health and welfare and make practical and accessible tools for vets, farmers, and animal owners to use.
Dr. Liz Cresswell
Liz is a veterinary surgeon with international experience. In 2022, she was awarded a Nuffield Farming Scholarship focusing on preventative health in livestock and is currently a Policy Committee member for the British Veterinary Association. With a career-long dedication to enhancing animal health and welfare, she leads the practical application of AI computer vision insights to implement real-world improvements to the lives of animals.
Dr. Liz Cresswell
Liz is a veterinary surgeon with international experience. In 2022, she was awarded a Nuffield Farming Scholarship focusing on preventative health in livestock and is currently a Policy Committee member for the British Veterinary Association. With a career-long dedication to enhancing animal health and welfare, she leads the practical application of AI computer vision insights to implement real-world improvements to the lives of animals.
Dr. Callum Newman
Dr. Callum Newman is an accomplished Senior Machine Learning Engineer and full-stack developer, specializing in computer vision and animal behavior analytics. With a PhD in computer vision and a first-class degree in Electronic Engineering, Callum develops advanced algorithms for animal behavior monitoring. He combines his expertise in machine learning with application development, to deliver innovative solutions through Vet Vision AI platforms.
Dr. Callum Newman
Dr. Callum Newman is an accomplished Senior Machine Learning Engineer and full-stack developer, specializing in computer vision and animal behavior analytics. With a PhD in computer vision and a first-class degree in Electronic Engineering, Callum develops advanced algorithms for animal behavior monitoring. He combines his expertise in machine learning with application development, to deliver innovative solutions through Vet Vision AI platforms.
Dr. Tao Jiang
Tao possesses an impressive skill set spanning computer vision, machine learning, and computer graphics, underpinned by a Postdoctoral Fellowship from the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, a PhD from the National Centre for Computer Animation, and both a Bachelor's and Master's degree in Computer Science from the University of Electronic Science and Technology of China. Tao specializes in developing algorithms for tracking and identifying individual animals over time, enabling effective animal monitoring to enhance their welfare.
Dr. Tao Jiang
Tao possesses an impressive skill set spanning computer vision, machine learning, and computer graphics, underpinned by a Postdoctoral Fellowship from the Centre for Vision, Speech and Signal Processing (CVSSP) at the University of Surrey, a PhD from the National Centre for Computer Animation, and both a Bachelor's and Master's degree in Computer Science from the University of Electronic Science and Technology of China. Tao specializes in developing algorithms for tracking and identifying individual animals over time, enabling effective animal monitoring to enhance their welfare.
Professor Martin Green
Martin has had a distinguished career as one of the most impactful veterinary surgeons and researchers globally. Awards for his work include the 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 positively impact animal health and welfare.
Professor Martin Green
Martin has had a distinguished career as one of the most impactful veterinary surgeons and researchers globally. Awards for his work include the 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 positively impact animal health and welfare.
Professor Sarah Freeman
Sarah has dedicated her career to improving the health and welfare of horses. As an equine veterinary surgeon, she has driven the REACT colic campaign. Additionally, she was awarded the RCVS Impact award and an RCVS fellowship for her contributions to clinical practice. Sarah guides our direction in achieving maximum benefit for equine health and welfare by deploying AI computer vision algorithms.
Professor Sarah Freeman
Sarah has dedicated her career to improving the health and welfare of horses. As an equine veterinary surgeon, she has driven the REACT colic campaign. Additionally, she was awarded the RCVS Impact award and an RCVS fellowship for her contributions to clinical practice. Sarah guides our direction in achieving maximum benefit for equine health and welfare by deploying AI computer vision algorithms.
Mr. Steve Ellis
Steve brings over 30 years of leadership experience within the Agri-Food and Drink sectors, having served as Managing Director of 2 Sisters Poultry and CEO of Karro Food. At Karro, he led the development of a world-leading sow herd, renowned for responsible antibiotics use. Now, as Chairman of Vet Vision AI, Steve leverages his extensive industry expertise to guide the company’s business development and strategic direction.
Mr. Steve Ellis
Steve brings over 30 years of leadership experience within the Agri-Food and Drink sectors, having served as Managing Director of 2 Sisters Poultry and CEO of Karro Food. At Karro, he led the development of a world-leading sow herd, renowned for responsible antibiotics use. Now, as Chairman of Vet Vision AI, Steve leverages his extensive industry expertise to guide the company’s business development and strategic direction.
Dr. Laura Randall
Laura is an experienced veterinary surgeon and leading animal health and welfare researcher. She develops novel diagnostic approaches through metabolic profiling and machine learning and combines her research career with industry engagement, working to improve animal health and welfare. At Vet Vision AI, Laura helps align product development to meet industry needs.
Dr. Laura Randall
Laura is an experienced veterinary surgeon and leading animal health and welfare researcher. She develops novel diagnostic approaches through metabolic profiling and machine learning and combines her research career with industry engagement, working to improve animal health and welfare. At Vet Vision AI, Laura helps align product development to meet industry needs.
Martyna Iruretagoyena Jankowska
Martyna brings a lifetime of equine experience, translating complex equine behaviours into practical insight to improve horses' welfare. With a BSc in equine management and an MSc in equitation science, Martyna is completing a PhD with Vet Vision AI at the University of Nottingham, using computer vision to improve equine welfare and wellness. Martyna is also a qualified British Showjumping judge.
Martyna Iruretagoyena Jankowska
Martyna brings a lifetime of equine experience, translating complex equine behaviours into practical insight to improve horses' welfare. With a BSc in equine management and an MSc in equitation science, Martyna is completing a PhD with Vet Vision AI at the University of Nottingham, using computer vision to improve equine welfare and wellness. Martyna is also a qualified British Showjumping judge.
Redefining Animal Health and Welfare
Animal-Centred Technology
Our solutions are designed to prioritise animal health and welfare at every stage.
Continuous Monitoring
Around-the-clock monitoring provides real-time insights, giving you a comprehensive picture of the health of your animals.
Data-Driven Insights
Our cutting-edge analytics translate animal behaviour into meaningful health and welfare alerts.
Veterinary-Backed
All of our algorithms are trained and tested by University of Nottingham Veterinary surgeons.
