Viz.ai
Alerts the relevant care team when a case needs a time-sensitive response.
Viz AI Funding History
Viz AI develops AI software to coordinate care for stroke, cardiovascular and neurovascular conditions. Its stroke software was among the first AI clinical decision support tools cleared by the FDA.
Company Overview
Viz AI
San Francisco, California
Official WebsiteViz AI Funding Timeline
Series D
US$100 million · $1.2B valuation
Viz AI said it would invest in technology that integrates with clinical workflows and expands automated disease detection.
Led by Tiger Global, Insight Partners. Participation included Scale Venture Partners, Kleiner Perkins, Threshold Ventures, GV, Sozo Ventures, CRV, Susa Ventures.
Source · viz.ai ↗Series C
US$71 million
Viz.ai said it would expand its care coordination platform beyond stroke to other time-sensitive cases, including cardiac, pulmonary and trauma care.
Led by Scale Venture Partners, Insight Partners. Participation included Greenoaks Capital, Kleiner Perkins, Threshold Ventures, CRV, Innovation Endeavors, Susa Ventures.
Source · viz.ai ↗Series B
US$50 million
Viz.ai’s software flagged signs of certain strokes on CT scans and helped clinicians coordinate transfers and treatment.
Led by Greenoaks Capital. Participation included Threshold Ventures, CRV, GV, Kleiner Perkins.
Source · en.globes.co.il ↗Series A
US$21 million
Kleiner Perkins’ Mamoon Hamid joined Viz.ai’s board as the company developed software to detect potential strokes from CT scans.
Led by Kleiner Perkins. Participation included GV.
Source · fiercebiotech.com ↗
Viz AI Founding Team
Chris Mansi, a neurosurgeon, met machine learning researcher David Golan at Stanford. Their clinical and technical experience led them to build software that could spot signs of stroke in scans and alert the specialists needed to act on them.
Viz AI Products
Viz AI Company Development
Stroke Alerts Become Part of a Care Coordination Platform
Viz.ai's early stroke work addressed the interval between identifying a suspected finding and bringing the right clinical team together. It broadened that coordination model to other cardiovascular and neurovascular pathways, where the people who need to act depend on the case.
Viz AI Competitive Landscape
What Happens After a Scan Is Flagged
Viz.ai and Qure.ai both work on imaging triage. Viz.ai emphasizes the handoff to clinical teams and coordination after the alert. Qure.ai also targets screening programs such as tuberculosis detection, where the job may begin outside a specialist care pathway.
