Exhibiting at the AI & Machine Learning Convention


Easily explore large image datasets and unlock powerful insight by combining advanced analysis tools with a unique visualisation interface. Using Zegami you will be able to rapidly categorise, label and clean large image datasets, invaluable for many applications including training machine learning models.

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 so that it could be used to visualise other kinds of data in addition to images, including video, documents or more traditional data sources like databases and spreadsheets.

Our technology is helping organisations in many sectors realise the potential of their image and other data sets, including:

- Researchers, scientists and engineers in academic and commercial organisations - The Plant Accelerator project at University of Adelaide, solving food supply issues in large automated greenhouses in Adelaide, Victoria, Germany, the US and Wales, by giving researchers the ability to view thousands of images all at once on a screen, enabling them to spot patterns or anomalies in physiological and chemical traits.
- Data scientists training machine learning models - Cancer Research UK funded project to develop a cancer detection system that identifies cancerous lesions in real-time by highlighting them on the video as the patient is being examined.
-Business intelligence and management in commercial businesses - Siemens and numerous other firms use Zegami to manage their manufacturing documentation. HR companies including InnovaSystems and SDWorx now have Zegami fully integrated into their candidate management systems.

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