Viz.ai is a medical imaging startup aiming to help in the optimization of emergency treatment by using deep learning technology. It assists physicians in brain anomalies identification with the usage of machine learning. Moreover, deep learning is used to communicate time-sensitive information about stroke patients to a specialist for intervention and treatment.
The funding round was led by Tiger Global and Insight Partners. Scale Ventures, Kleiner Perkins, Threshold, Google Ventures, Sozo Ventures, CRV, and Susa also participated in the round. This round led company to unicorn status. Viz.ai’s previous round was in March 2021.
Viz.ai, San Francisco, was founded by Chris Mansi, David Golan, and Manoj Ramachandran in 2016. The platform developed by the company is applied in more than 1000 hospitals serving millions of patients. Viz.ai developed a system that synchronizes the actions of hospitals to critical diagnostic data at moments of decision-making. Viz.ai’s solution connects emergency physicians, primary care practitioners, and radiologists to optimal specialists to facilitate care coordination, reducing variability. “The investment market is tougher now than it was a year ago, but Viz brings something special to the table. Very few companies have a network with over 1,000 hospitals and the ability to generate significant business, which is something that gets VC funds excited,” David Golan, CTO.
