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Ease pressure on staff, improve care outcomes, optmise and reduce costs


Early Disease Detection

Identify patients at the highest risk for developing diseases and predict progression, to deliver better outcomes. Analyse all manner of medical data in one place to more accurately predict onset of diseases, whether that’s blood biomarkers or medical imaging.


Wound Care

Analyse factors linked to wound progression,  evaluate treatments to provide best outcomes for wound dressings  and improve early warnings for amputations. The first of a kind wound care platform generates a series of options for wound care based on the personalised profiles of patients. 


Predict Care Pathways

Combine multiple  data types into a single solution, such as combining meta data insights from images with data analytics to predict care pathways and model population health. Reduce wait times due to lengthy manual scan evaluations,
avoid misdiagnosis with highly accurate ML models and ease pressure on staff with task automation. Support clinical decision making to deliver the best outcomes for patients and increase patient satisfaction.


White Paper: Engineering Explainability in
Oscar Enterprise AI

At Massive Analytic, we’ve made explainability core to our Oscar Enterprise AI platform, to engender trust and enable adoption into the enterprise. In this white paper, learn how through product features and engineering research we’re making this concept real. 


White Paper: Engineering ML Ops in Oscar Enterprise AI

The creation of an extemely accurate prediction model isn’t the end of the enterprise machine learning workflow. Until the model actually drives real-world actions, no business value has been created. In this white paper learn how MLops  enables AI deployments and helps create this value. 

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