Zegami offers a visual data exploration platform that lets organisations search, filter, tag, sort and visually analyse large collections of images and multimodal data. Developed at Oxford University and spun out in 2016, the platform aims to democratise data analysis by making complex datasets immediately comprehensible through interactive visualisation. Zegami reports 35 clients and several case studies across healthcare, art valuation, social media analytics and HR people analytics. The company says organisations using the platform save on average two hours per worker per day through effective visual search and analysis. Zegami plans to use new funding to develop its next-generation data visualisation platform and raise its profile through marketing and commercial partnerships with LiveTiles and Microsoft. Together with previous equity rounds and funding, Zegami is investing £4.0M into its technology and commercialisation efforts. Zegami provides data discovery and analytics tools to manage and sort collections of images and data. Its platform can display millions of images, documents, movies, 3D objects, or dashboards in a single field of view that users can search, sort, filter, or group in real time. The technology is designed to enable rapid exploration and analysis of large visual and multimedia datasets. Zegami is an Oxford University spin-out. Its current financial activity includes participation in a Series A equity investment involving external investors. Zegami enables users to view large collections of images and associated metadata in a single field of view and to perform intuitive data analysis. The company was spun out of the University of Oxford Computational Biology Research Group in February 2016. Its platform can display tens of thousands of images, documents, video, 3D objects and dashboards within one view. Users can search, sort, filter and group content in real time. Zegami’s software can be integrated into existing database management and business intelligence reporting systems or sit above them as a separate component layer. The company has received a final investment from the University of Oxford Isis Fund II.

Total raised

$2M

Funding rounds

3

Latest round

Equity

Latest activity

Jul 2019