AI-driven Synchronized Stroke Care Platform

AI-based stroke care platform – USD 71 million investment

Viz is a medical imaging company that helps optimize emergency treatment using deep learning technology. Synchronized Stroke Care Platform Synchronized Stroke Care Platform

When a large blood vessel occlusion suspected of a stroke is detected in the automated imaging diagnosis, the neurovascular specialist is automatically notified to prevent delay in the start of stroke treatment.

Efficacy has already been proven in more than 140 hospitals using various scanners, and will expand beyond stroke to acute treatment of heart, lung and trauma in the future. Synchronized Stroke Care Synchronized Stroke Care Synchronized Stroke Care Platform


Viz helps physicians to identify anomalies in brain scans through machine learning. The company leverages advanced deep learning to communicate time-sensitive information about stroke patients straight to a specialist who can intervene and treat. It uses deep learning algorithms to identify a suspected large vessel occlusion, a particularly disabling type of stroke, in a CT scan and alerts the stroke team specialist within minutes.

Viz has developed deep learning algorithms to analyze brain scans for large vessel occlusions (LVOs), a disabling type of stroke.

General Information

  • Headquarters : San Francisco, CA
  • Founders : Chris Mansi, David Golan, Manoj Ramachandran
  • Categories : AI, Health Care, Medical Device, Health Diagnostics, Machine Learning,
  • Founded : 2016
  • Contact :


  • Investors : CRV, Greenoaks Capital, Innovation Endeavors, Insight Partners, Kleiner Perkins, Scale Venture Partners, Susa Ventures, Threshold 
  • Funding Rounds (6) - $151.6M
  • Mar 17, 2021 Series C / $71M
  • Oct 23, 2019 Series B / $50M
  • Jul 18, 2018 Series A / $21M
  • May 24, 2017 Seed Round / $7.5M
  • Oct 5, 2016 Seed Round / $2M
  • Sep 1, 2016 Convertible Note / $50K Synchronized Stroke Care Platform Synchronized Stroke Care Platform Synchronized Stroke Care Platform

Source: Viz

šŸ‘‰• Web

šŸ‘‰• VideoViz_ai for Stroke - YouTube

Post a Comment