Viz.ai Raises $71 Million Series C Round Led by Scale Venture Partners and Insight Partners

• Investment Powers Strategy to Expand AI-driven Intelligent Care Coordination Beyond Stroke

Viz.ai announced that it has raised $71 million in Series C funding, led by Scale Venture Partners and Insight Partners with participation from Greenoaks, Kleiner Perkins, Threshold Ventures, CRV, Innovation Endeavors and Susa Ventures. Viz.ai aims to accelerate expansion of its Intelligent Care Coordination A.I. platform beyond stroke to other areas of acute care such as cardiology, pulmonary and trauma, and into new global markets. This round brings the company’s total funding to over $150 million since inception.

“Viz.ai has proven its ability to transform care coordination in stroke by leveraging AI and advanced mobile technology, and we see huge potential for this platform to transform other acute care specialties across healthcare.”

“This expansion addresses the gap in the coordination of care among clinicians and healthcare systems to best facilitate essential and timely patient care,” said Rory O’Driscoll, partner, Scale Venture Partners. “Viz.ai has proven its ability to transform care coordination in stroke by leveraging AI and advanced mobile technology, and we see huge potential for this platform to transform other acute care specialties across healthcare.”

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Viz.ai’s transformative, intelligent care coordination system, already clinically validated for stroke, brings synchronized collaboration, integrated data and automated processes, and improved visibility to a unified platform with an advanced mobile experience. The largest real-world multi-center study using Viz LVO found a median time-to-notification of 5 minutes and 45 seconds across all of the sites involved when using Viz LVO. In the study, containing the largest health AI data set to date, Viz LVO achieved 96% sensitivity and 94% specificity in identifying large vessel occlusions in 2,544 consecutive patients from 139 hospitals using scanners from multiple manufacturers. Faster triage with Viz LVO enables the identification and triage of more patients who are eligible for thrombectomy, which not only improves patient outcomes and reduces disability, but also is reimbursed at approximately three times the rate than medically managed stroke.

“Viz.ai has taken an innovative approach to transforming one of healthcare’s biggest challenges, using intuitive technology to help improve patient outcomes in acute care,” said Nikhil Sachdev, managing director, Insight Partners. “We see the company poised for massive growth as it scales its clinically-verified stroke care coordination system to other use cases where time is crucial to outcomes and costs to patients and hospitals can exponentially increase when care coordination breaks down. We are looking forward to rolling up our sleeves and helping Viz.ai scale up.”

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Best in class care coordination is the lynchpin to improved quality outcomes while also improving patient experience and reducing cost. The current system of care is still managed by outdated software, often leading to lack of visibility and delayed patient care which can be costly, particularly in acute emergencies where saving time is essential.Viz.ai is at the forefront of care coordination transformation with an award winning FDA-cleared product suite running AI-powered real time disease detection, automated alerts and triage, mobile DICOM image viewing, HIPAA-compliant secure messaging, and point of care physician consults that greatly enhances patient care, resulting in exceptional patient outcomes.

“This latest round of funding validates the potential of Viz.ai’s technology, both in and beyond stroke care coordination,” said Chris Mansi, co-founder and CEO of Viz.ai. “The investment will allow us to expedite our effort to bring the power of artificial intelligence and advanced mobile technology to prevent care breakdowns, improve patient outcomes and experience, and improve economics across the entire health system both in the United States and Europe.”

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