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Viz.ai

AI that activates care in seconds

San Francisco, CA, US

Viz.ai is a healthcare AI platform that integrates over 50 FDA-cleared AI algorithms to improve clinical workflows and care coordination. It provides solutions for various conditions like stroke, pulmonary embolism, and intracranial hemorrhage, enabling faster diagnosis and treatment. The platform is deployed in nearly 2,000 hospitals across the United States and Europe, serving over 70,000 healthcare provider users.

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How We Help

Problem Statement

Clinicians face challenges in efficiently diagnosing and treating conditions like stroke, pulmonary embolism, and intracranial hemorrhage, leading to delays in care coordination and treatment.

Core Technology

AI algorithms, machine learning, clinical decision support, medical imaging analysis

Key Differentiators

Over 50 FDA-cleared AI algorithms; First company awarded CMS reimbursement for AI (stroke module); Extensive peer-reviewed publications (120+); Rapid scan-to-alert delivery (36 seconds); High clinician engagement (90% click-through rate)

Clinical Focus

Emergency Medicine; Neurology; Cardiology; Pulmonology; Oncology; Radiology

Company Info

Business Model
B2B SaaS
Founded
2016
Total Funding
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Clinical & IP

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Clinical Validation

50+ FDA 510(k) clearances; first De Novo approval for hypertrophic cardiomyopathy detection; peer-reviewed studies demonstrating 31-minute reduction in door-to-treatment time and improved reperfusion rates

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What do you think of Viz.ai?

A HUGE part of what early stage companies, and even late stage ones, need and get on MedStartr is honest feedback from actual patients, clinicians, hospital leaders and industry insiders. It is very easy to get tunnel vision as a founder. Please tell the team that runs this company what you think.

Clinical Benefit Potential

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Feasibility

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Innovativeness

The distinguishing features, concept, or technology that differentiates the entry compared to others that already exist and are in widespread use.

Fundability

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Scalability

Some great ideas are destined to failure because they are too complex or too expensive. The reviewer should consider the likelihood that a project as explained, or perhaps with some tweaks, could possibly become a worldwide solution within a reasonable time frame.

Presentation Quality

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