Understand what your animals are telling you.

Dr Callum Newman

Lead Developer

Dr Callum Newman is the Lead Developer at Vet Vision AI, where he drives development across the company's platforms, from cloud pipelines and back-end architecture to user-facing applications. With hands-on experience deploying agri-tech solutions at scale, he shapes architecture, mentors the team, and owns delivery from concept to production.

Mel is the Lead Data Scientist at Vet Vision AI, specialising in computer vision, predictive modelling, and machine learning for animal health and welfare. She brings over a decade of experience spanning academia, industry, and applied AI, supported by a PhD in veterinary science. Passionate about animal health and wellbeing, she develops algorithms to analyse complex behavioural datasets and translate them into actionable insights, creating robust AI tools that support vets, farmers, and animal owners.

Yixiao is a Senior Computer Vision Engineer specialising in deep learning and edge computing. With expertise spanning model training, deployment optimisation, and computer vision pipeline design, he applies these techniques to animal monitoring in equine and cattle applications.

Fouroy Deng is a Computer Vision Engineer at Vet Vision AI and a PhD candidate in Computer Science at Loughborough University. She specialises in computer vision and visual re-identification, with a focus on building AI systems that can reliably recognise and match individuals across different views and environments. At Vet Vision AI, she applies this expertise to develop practical computer vision solutions to support animal monitoring, health, and welfare.

Olivia combines a veterinary degree from the University of Nottingham with a particular interest in animal welfare and population health. At Vet Vision AI, she builds the labelled datasets behind our models, annotating cattle and equine footage, defining behavioural labelling schemas, and validating model outputs against what a vet would actually see, bringing clinical judgement to the data layer so accuracy sits behind every label.

Joe Moulton

Frontend Developer & UI/UX Designer

Joe is a frontend developer and UI/UX designer who leads development of the company's interfaces. With a focus on bridging engineering and design, he turns complex data into experiences that help users make better decisions, faster.

Harry brings a wealth of experience as an embedded systems engineer, with a track record of delivering products into a wide range of sectors including power distribution, aerospace, and military. Leveraging his career bringing ideas into fully fledged commercial products, Harry develops everything that bridges the real world with the digital world, building robust solutions that mean we always know what the animals that we monitor are up to, day and night.

James Watson

Commercial Lead

James leads the commercial function at Vet Vision AI, taking our equine and dairy technology to market and building the revenue engine behind them. A proud Kiwi, he's spent his career in early-stage agritech start-ups.

Jess Hulme

Innovation Delivery Lead & Equine Lead

Jess is our Innovation Delivery Lead and Equine Lead, bringing a vet's clinical eye to product development. She leads the equine side of Vet Vision AI, shaping the behavioural monitoring and alert systems that flag welfare issues early — often before they'd be obvious to the human eye.

As a Business Development Executive at Vet Vision AI, Zoe drives strategic growth by identifying new partnerships that bring cutting-edge AI technology to equestrians, helping them enhance performance and safeguard the health and welfare of their horses.

Harry is the Dairy Account Manager, with hands-on dairy farm experience, a sales background and a Master's in Agricultural Science. He is excited to build and develop strong, lasting relationships with dairy farmers in a customer-facing role, helping them get the most out of Vet Vision AI.

Sarah Browne

Operations Lead

As Operations Lead, Sarah keeps Vet Vision AI running as it scales. She owns the processes, systems and coordination that hold a fast-growing company together, so the moving parts stay joined up and the team can focus on the work. If something needs organising, tightening or making repeatable, it sits with Sarah.

As Hardware Operations Technician, Lyra keeps Vet Vision AI's hardware running end to end — planning farm installs, managing inventory and stock, and handling purchase orders for hardware and office essentials. She also looks for ways to streamline processes and lends a hand wherever it's needed across the team.

As Hardware Field Technician, Joe is Vet Vision AI's hands-on presence out on the farms — installing hardware on-site, travelling between locations, and handling repairs as they come up. He brings a problem-solving mindset to every job, always keeping an eye on the bigger picture to make sure efficiency and high-quality work go hand in hand.