Our Structure

Veterinary Health Innovation Engine (vHive) bridges the technology readiness gap between animal health world leaders, as well as leading the development of transformational digital analytic tools. These actions are completed using:

  • Platforms and app creations
  • Business insights
  • Research validation
  • Data manipulation
  • Grant funding assistance
  • Project management.

vHive consists of a diverse group of 10 leading academics, researchers, and industry leaders who have more than 160 years combined experience. vHive is committed to making animal’s lives better through research and development of platforms and apps which will helps make individual’s, who care and raise for these animals, lives easier and better. Positioned within academia and industry helps create an inclusive and collaborative environment to solve problems and advance technology through creating value. There are 3 key focus areas for vHive: manage grants, deliver projects, and digitally innovate data led challenges.

The Veterinary Health Innovation Engine (vHive) is made up of 4 pillars which are at the core of what makes vHive function, with research crossing pillars and disciplines.

Each pillar head has an academic lead with an external industry counterpart, these leads are experts within their fields and help to deliver the projects that are worked on within vHive.

Data Pillar

Data Pillar

Offering data-centric solutions within digital transformation and analytic solutions. Working with AI, Machine Learning, and Blockchain.

Veterinary Clinical Solutions Pillar

Veterinary Clinical Solutions Pillar

Leading veterinary orientated research projects with the partner organisations which integrates data services and products.

Diagnostic & Quality of Life Pillar

Diagnostics & Quality of Life Pillar

Offering specialist lab services to partners giving them ability to validate and experiment with diagnostics, biometrics, zoonotic, pathologic, and quality of life research projects.

Business Pillar

Business Pillar

Focusing on business intelligence for the animal health industry with allows industry and academic partners to identify and extrapolate value in data.