Viz helps physicians to identify anomalies in brain scans through machine learning. Viz.ai is an applied AI healthcare company pioneering the use of deep learning technology in medicine. We are exploring how advances in computer science can work to identify patients and notify the right doctor directly; enable faster communication, selection, transportation, and intervention. Our work to date has focussed on stroke and other neurological disease. Our flagship product Viz LVO Stroke Platform is FDA cleared under a De Novo classification and CE Marked. Viz.ai has received funding from Danhua Capital (DHVC) and ex-Google Chairman Eric Schmidt’s Innovation Endeavors, as well as AME Cloud Ventures and Susa Ventures. We are joined by an advisory board with world-class expertise in neurovascular care, medical imaging, workflow design and healthcare policy.

Viz helps physicians to identify anomalies in brain scans through machine learning. Viz.ai is an applied AI healthcare company pioneering the use of deep learning technology in medicine. We are exploring how advances in computer science can work to identify patients and notify the right doctor directly; enable faster communication, selection, transportation, and intervention. Our work to date has focussed on stroke and other neurological disease. Our flagship product Viz LVO Stroke Platform is FDA cleared under a De Novo classification and CE Marked. Viz.ai has received funding from Danhua Capital (DHVC) and ex-Google Chairman Eric Schmidt’s Innovation Endeavors, as well as AME Cloud Ventures and Susa Ventures. We are joined by an advisory board with world-class expertise in neurovascular care, medical imaging, workflow design and healthcare policy.

EyeArt is the first and only FDA-cleared AI technology for autonomous detection of both more than mild and vision-threatening diabetic retinopathy. The EyeArt® AI Eye Screening System is the most extensively validated autonomous AI technology, tested on over half a million patient visits globally with over two million images collected in real-world clinical environments.It is proven to be safe, fast, and consistent.