Zegami was spun out of the University of Oxford in 2016 to commercialise a software platform for exploring and analysing visual data developed for high-throughput microscopy research.
Combining images, internal and third-party metadata and machine learning (ML) with an intuitive interface, Zegami provides users with a tool to manage large amounts of non-numerical and non-text data. Founded by a team including Stephen Taylor, Head of the Computational Biology Research Group in the Weatherall Institute of Molecular Medicine, Zegami has secured pilot contracts in a variety of industries with a focus on applications in healthcare and life sciences
Roger Noble & Steve Taylor
Zegami was born out of a collaboration led by Oxford scientist Steve Taylor and tech polymath Roger Noble to analyse and understand large datasets from experiments analysing thousands of images of cancer cells and data from the human genome.
Steve’s background is in microbiology, but he was always massively interested in computers from an early age, and so combining images, data and biology was a dream come true. Steve’s worked in companies ranging from GlaxoSmithKline to an Australian bioinformatic start-up before joining academia in 2013.
Roger studied computer science and multimedia, spending most of his career in Australia as a software engineer.
This combined expertise led to Zegami, a tool which aims to improve access to data visualisation to derive deeper insights.