Viz.ai

Name: Viz.ai
Brand: Viz.ai
Rating: 4.1 (208 reviews)

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AI-powered care coordination platform accelerating diagnosis and treatment for better patient outcomes.

AI & Automation Healthcare Medical Imaging

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4.1(208 across the web)

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Reviews onCapterraSourceForge

208 reviews tracked

The Bottom Line

Entry price

Paid plans only

Biggest pro

Healthcare AI

Biggest con

Healthcare specific

TL;DR - Viz.ai

AI-powered platform with 50+ FDA-cleared algorithms for rapid disease detection.
Streamlines care coordination and communication among healthcare teams in real-time.
Accelerates diagnosis and treatment decisions across multiple therapeutic areas.

Pricing: Paid only

Best for: Enterprises & pros

4.1/5 across review platforms

What is Viz.ai?

Editorial review

Viz.ai is an AI-powered care coordination platform designed to transform patient care by accelerating diagnosis and streamlining treatment decisions. It utilizes over 50 FDA-cleared AI algorithms to analyze medical imaging data (CT scans, EKGs, echocardiograms, etc.), delivering real-time insights and automated assessments. The platform aims to close gaps between patients, clinicians, and life-saving treatments across various therapeutic areas including neurovascular, cardiovascular, vascular, trauma, and radiology. Viz.ai One, the core solution, provides an all-in-one platform that auto-detects suspected diseases in seconds, enabling faster time to diagnosis and treatment. It facilitates real-time communication among multidisciplinary care teams via mobile and desktop devices, ensuring patients receive timely and appropriate care. The platform is clinically validated with over 100 publications and abstracts, trusted by over 1,800 hospitals, and integrates seamlessly with EHR and PACS solutions. It also partners with pharmaceutical and medical device companies to develop customized solutions for treatable diseases, enhancing patient access and adherence to treatments.

Available on: Web

LCLouis CorneloupUpdated May 26, 2026 · how we evaluateSourceviz.ai ↗

Pros & Cons

Pros

Healthcare AI
Stroke detection
FDA approved
Active development
Good accuracy

Cons

Healthcare specific
Very expensive
Complex implementation
Enterprise only
Support varies

Ratings Across the Web

4.1(208 reviews)

Viz.ai holds an aggregate rating of 4.1 out of 5 from 208 reviews across Capterra and SourceForge, last checked June 17, 2026.

Capterra141 reviews

3.9/5

SourceForge67 reviews

4.3/5

Ratings aggregated from independent review platforms. Learn more

Key Features

Medical AIStroke detectionCare coordinationClinical workflowReal-time alertsImaging analysis

Pricing Plans

Pricing checked Aug 28, 2026

Enterprise

Custom

50+ FDA-cleared AI algorithms
Medical imaging analysis
Real-time clinical insights
1,800+ hospitals deployed
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Is Viz.ai worth the price?

75/100

Viz.ai's Enterprise-only custom pricing is typical for highly specialized B2B healthcare AI platforms.

Without transparent pricing, it's impossible to assess fairness, but the extensive FDA-cleared algorithms and widespread hospital deployment suggest a premium offering. This model is best suited for large hospital systems and healthcare networks seeking advanced AI-driven care coordination solutions.

Hidden Costs & Gotchas

Implementation and integration fees

Ongoing support and maintenance contracts

Potential data migration costs

Custom feature development charges

How Viz.ai Compares to Competitors

Viz.ai competes with platforms like Aidoc and Qure.ai, which also offer AI-powered medical imaging analysis and care coordination. While direct pricing comparisons are difficult due to custom enterprise models across the board, Viz.ai's 1,800+ hospital deployments suggest a strong market presence and potentially competitive feature set for its target large-scale clients.

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4.1/5

Across 208 verified user reviews on Capterra, SourceForge

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Viz.ai FAQ

How does Viz.ai accelerate diagnosis and treatment for patients?

Viz.ai utilizes over 50 FDA-cleared AI algorithms to analyze medical imaging data, such as CT scans and EKGs, delivering real-time insights and automated assessments. This capability enables faster detection of suspected diseases, thereby streamlining the diagnostic process and treatment decisions.

Which therapeutic areas does Viz.ai support with its AI-powered platform?

Viz.ai supports a range of therapeutic areas including neurovascular, cardiovascular, vascular, trauma, and radiology. The platform aims to improve patient care by closing gaps between patients, clinicians, and life-saving treatments across these specialties.

How does Viz.ai compare to Braintrust in its core functionality?

Viz.ai is an AI-powered care coordination platform that uses over 50 FDA-cleared AI algorithms to analyze medical imaging for accelerated diagnosis and treatment. In contrast, Braintrust focuses on a different aspect of healthcare technology, as Viz.ai specializes in real-time insights from medical imaging.

What kind of user or team benefits most from implementing Viz.ai?

Teams within large healthcare systems, particularly those involved in multidisciplinary care for conditions like stroke, would benefit most from Viz.ai. Its enterprise-only nature and complex implementation are designed for comprehensive integration within hospital environments.

How is Viz.ai priced?

Viz.ai is offered as a paid product, indicating it does not include a permanently free tier for its services. Its pricing model is designed for enterprise-level deployment within healthcare organizations.

Can Viz.ai integrate with existing hospital IT infrastructure?

Yes, Viz.ai is designed to integrate seamlessly with existing EHR (Electronic Health Record) and PACS (Picture Archiving and Communication System) solutions. This allows for efficient incorporation into a hospital's current workflow and data management systems.

What are the primary limitations or trade-offs when considering Viz.ai?

Viz.ai is highly specialized for healthcare, which means its application is limited to that sector. It is also noted for being very expensive and having a complex implementation process, primarily suited for enterprise-level organizations.

Source: viz.ai

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