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Viz.ai

AI-powered care coordination platform for time-sensitive disease detection

healthcare#healthcare ai#care coordination#stroke detection#medical imaging
Claimed API Teams Mobile app

About Viz.ai

Viz.ai is an AI care coordination platform used by 2,000+ hospitals, with 50+ FDA-cleared algorithms that detect time-critical conditions like large vessel occlusion strokes and coordinate specialist care on mobile to reduce treatment delays.

Viz.ai is a leading AI-powered care coordination platform focused on disease detection and clinical workflow optimization. Driven by more than 50 FDA-cleared algorithms, it analyzes medical imaging to identify time-sensitive conditions and instantly alerts the right clinical teams, closing gaps between patients, clinicians, and life-saving treatment. Its flagship stroke solution detects suspected large vessel occlusions and notifies specialists who can view images on mobile devices and coordinate thrombectomy decisions faster. Peer-reviewed studies have shown significant improvements, including large reductions in door-in-door-out and interfacility transfer times, which are associated with better patient outcomes. Beyond stroke, the platform extends to cardiology and other conditions, with tools like Viz Connect linking neurology and cardiology teams. Trusted by more than 2,000 hospitals, Viz.ai has become a widely adopted example of AI applied to acute care coordination, where speed directly affects survival and disability, distinguishing it from documentation-focused clinical AI tools.

TL;DR

Viz.ai is an AI care coordination platform used by 2,000+ hospitals, with 50+ FDA-cleared algorithms that detect time-critical conditions and speed treatment, backed by clinical studies.

Company overview

Viz.ai focuses on applying AI to acute care coordination, where speed directly affects patient survival and disability. It has become one of the most widely adopted clinical AI platforms.

The company's technology is used by more than 2,000 hospitals and is supported by a growing body of peer-reviewed research demonstrating improvements in stroke care metrics.

Product features

Powered by more than 50 FDA-cleared algorithms, Viz.ai analyzes medical imaging to detect conditions such as large vessel occlusion strokes and alerts specialists on mobile devices for rapid coordination.

The platform integrates with hospital imaging and EHR systems and extends beyond stroke to cardiology and other conditions, with tools like Viz Connect linking care teams for follow-up.

Target market

Viz.ai targets hospitals and health systems, particularly stroke, neurology, and cardiology teams, that need to reduce delays in detecting and treating time-critical conditions.

Buyer personas

End users

Neurologists, interventionalists, cardiologists, and care coordinators.

Buyers

Hospital executives, service line leaders, and clinical informatics teams.

Key influencers

Radiology and IT departments evaluating integration and workflow fit.

Ideal customer profile

Hospitals and health systems with acute stroke and cardiac programs that need faster imaging-driven detection and specialist coordination.

Funding & performance

Viz.ai has raised significant venture funding across multiple rounds; verify the latest figures and investors with reputable sources.

Pros & cons

Pros

  • More than 50 FDA-cleared algorithms
  • Proven reductions in stroke treatment times
  • Used by over 2,000 hospitals
  • Mobile alerts speed specialist coordination
  • Extends beyond stroke to cardiology and more
  • Backed by peer-reviewed clinical studies

Cons

  • Contact-sales, enterprise-only pricing
  • Requires integration with hospital systems
  • Focused on acute, imaging-based conditions
  • Not a consumer or clinic-desktop tool
  • Value depends on hospital workflow adoption

Pricing plans

Health System
Contact sales
  • FDA-cleared detection algorithms
  • Mobile clinical alerts
  • Care coordination workflows
  • PACS and EHR integration
  • Enterprise support

Key features

API
Mobile app
Team collaboration
Integrations
PACS, EHR systems, hospital imaging systems
Input types
image
Output types
text, image
Best For
hospitals, stroke care teams, cardiology teams

Compare key features

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Feature
Viz.ai
Aidoc
Suki AI
Pricing
Contact for pricing
Contact for pricing
Contact for pricing
Free plan
No
No
No
Free trial
No
No
Yes
API
Yes
Yes
Yes
Self-hosted
No
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

What conditions does Viz.ai detect?+

It detects time-sensitive conditions such as large vessel occlusion strokes and extends to cardiology and other areas via 50+ FDA-cleared algorithms.

How does Viz.ai speed up care?+

It automatically analyzes imaging and alerts the right specialists on mobile, enabling faster coordination and treatment decisions.

Is Viz.ai clinically validated?+

Yes. Peer-reviewed studies show reductions in stroke transfer and door-in-door-out times.

How many hospitals use Viz.ai?+

More than 2,000 hospitals use the platform.

Does Viz.ai integrate with hospital systems?+

Yes. It integrates with PACS imaging and EHR systems as part of clinical workflows.

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