Our Mission
Accelerate your data and AI journey
Zegami enables scientists, researchers and commercial leaders to explore large image datasets, unlock powerful insights and build machine learning models.
Our aim is to enhance science & medical outcomes through next generation image analysis and AI algorithms. Our data scientists are passionate about accelerating your artificial intelligence programmes, allowing you to easily clean and tag training data and make machine learning algorithms faster and more accurate.
Our Background
Inspired by Microsoft PivotViewer software, Zegami was founded in 2016 after a successful collaboration between the Weatherall Institute of Molecular Medicine at the University of Oxford. The many challenges of this research programme meant that Zegami was developed to visualise and analyse any kind of data, including unstructured data, like images, video and databases. To date we have raised £4M in funding: the first rounds of funding were focused on the development of the data visualisation software, and machine learning application with the last being focussed on commercialisation of the software through our partners. Zegami has developed partnerships with Microsoft and LiveTiles. This will give us greater potential to grow our customer base as well as provide a richer, more fully featured product for our customers – both enterprise and SMEs.
Our Team
Matt Hall
Software Engineer
Matt Langley
Software Engineer
Doug Lawrence
Data Scientist
Mingya Zhou
Software Engineer
Mariya Popova
Quality Assurance Tester
Pavel Pashov
Quality Assurance Tester
Scientific Board
The Zegami Scientific Advisory board is a multi-disciplinary board formed in 2017. The panel members are experts in machine learning, biology, art and history and have the explicit aim of helping propel Zegami into new and exciting areas of business and research.
Steven Collins
Partner at Frontline Ventures
William Latham
Director at Mutator VR
Jens Rittscher
Professor of Engineering Science at University of Oxford
Ilan Davis
Professor of Cell biology at University of Oxford