Viz.ai

Viz.ai

Viz.ai is an AI-powered care coordination platform for healthcare providers, featuring over 50 FDA-cleared algorithms that analyze medical imaging data such as CT scans, EKGs, and echocardiograms. It delivers real-time insights and automated assessments to accelerate diagnosis, streamline workflows, and support faster treatment decisions across therapeutic areas like neurology, cardiology, pulmonary care, and more. The platform includes tools like Viz.ai One for enterprise coordination, Viz Assist for workflow assistance, and specialized suites for different medical conditions. It aims to improve patient outcomes by closing gaps between patients and life-saving treatments, with features like auto-detection of suspected diseases and real-time communications. Target users include hospitals, radiologists, neurologists, cardiologists, surgeons, and clinical researchers, helping to transform care coordination and enhance clinical decision-making.

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Sep 18, 2026
AI-poweredFDA-clearedReal-time detectionCare coordinationMobile accessMedical imagingMulti-specialty
Product information

Everything worth knowing about Viz.ai

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Real-time Disease Detection
Auto-detect suspected diseases across therapeutic areas in seconds.
Care Coordination Platform
AI-powered platform to coordinate patient care and streamline workflows.
Multi-Therapeutic Coverage
Supports neuro, vascular, cardiac, pulmonary, trauma, and radiology suites.
Mobile & Desktop Access
Access insights and communications on mobile or desktop devices.
Technical capabilities
AI Algorithm Analysis
Analyzes medical imaging data for real-time insights and automated assessments.
FDA-Cleared Algorithms
Utilizes over 50 FDA-cleared AI algorithms for validation and compliance.
Must watch videos
How Viz.ai Is Using Artificial Intelligence To Detect Diseases Faster And Save More Lives | Forbes
4:23
Tutorial4:23
How Viz.ai Is Using Artificial Intelligence To Detect Diseases Faster And Save More Lives | Forbes
While practicing as a neurosurgeon in the U.K., Chris Mansi saw firsthand how surgery could go well, yet a patient would still die because too much time had passed before getting to the operating room. In 2016, while working on an M.B.A. at Stanford Business School, Mansi met David Golan, an Israeli machine-learning postdoc who’d recently been discharged from the hospital after a suspected stroke. The two bonded over the lack of data to drive better medical decisions and pitched their idea to improve stroke care in a class run by former Google CEO Eric Schmidt, who offered seed funding through his firm Innovation Endeavors. The San Francisco-based company’s software cross-references CT images of a patient’s brain with its database of scans to find early signs of large vessel occlusion strokes. This year, Viz.ai made the Forbes Next-Billion Dollar Startups List, being ranked among 25 companies most likely to become future unicorns. Subscribe to FORBES: https://www.youtube.com/user/Forbes?sub_confirmation=1 0:00 - Introduction: Why We're Still in the 'Dark Ages' of Medicine 0:28 - What is Viz.ai? 0:54 - How Viz.ai Detects a Stroke in Seconds 1:29 - The Doctor & The Patient: An Unlikely Founding Story 2:05 - Expanding Beyond Stroke 2:24 - Backed by Top Investors & Hospitals 2:54 - A Rare Achievement: Approved by Medicare 3:15 - AI Won't Replace Doctors, It Will Augment Them Stay Connected Forbes newsletters: https://newsletters.editorial.forbes.com Forbes on Facebook: http://fb.com/forbes Forbes Video on Twitter: http://www.twitter.com/forbes Forbes Video on Instagram: http://instagram.com/forbes More From Forbes: http://forbes.com Forbes covers the intersection of entrepreneurship, wealth, technology, business and lifestyle with a focus on people and success.
Viz.ai Uses Deep Learning to Analyze CT Scans and Save Lives
2:54
Tutorial2:54
Viz.ai Uses Deep Learning to Analyze CT Scans and Save Lives
Learn more about AWS Startups at – https://amzn.to/2ETNRrM  When someone suffers a stroke, every seconds counts and could mean the difference between being ok, permanent brain damage, or even death. With that taken into consideration, the current process for deciding how to treat the victim of a stroke just seems nonsensical. Typically, once a victim is rushed to the closest hospital, they are given a CT scan. A specialized doctor then needs to review the results of the scan, and that doctor is often located at a different hospital. The multi-step process of sending the scan, it being reviewed by the doctor, and the returning of their analysis, can take extremely long, with countless neurons dying in the patient's brain every second. Viz.ai is on a mission to reduce that timeline by leveraging specially trained deep learning models. CTO David Golan talks about how they’re looking to save lives by leveraging AWS and deep learning.
Viz.ai at ACC 2025: Using Viz.ai for Earlier HCM Detection
7:24
Tutorial7:24
Viz.ai at ACC 2025: Using Viz.ai for Earlier HCM Detection
The Cardiac Wire's interview with UVA Health's Michael Ayers, MD on how Viz HCM can allow earlier hypertrophic cardiomyopathy detection.

Who uses it

Real use cases, no hype
Stroke Detection
AI-powered detection of large vessel occlusions and hemorrhages in neuroimaging.
Cardiac Care Coordination
Automated identification of hypertrophic cardiomyopathy and other cardiac conditions from EKGs.
Pulmonary Embolism Diagnosis
Real-time alerts for suspected pulmonary embolism on CT scans.
Vascular Disease Management
AI analysis for aortic disease and other vascular conditions.
Radiology Workflow Optimization
Accelerating diagnosis by prioritizing critical cases for radiologists.
Trauma Center Coordination
Streamlining communications for trauma cases to improve response times.
Life Sciences Research Support
AI tools for pharmaceutical partnerships and clinical trial optimization.
What's great
  • 50+ FDA-cleared AI algorithms
  • Real-time alerts for critical conditions
  • Mobile app for on-the-go access
Technical strengths
  • Integrates with major PACS and EHR systems
  • Uses deep learning for image analysis
Where it falls short
  • Expensive subscription model
  • Steep learning curve for non-tech users
  • Limited to specific medical specialties
Technical limitations
  • Requires high-bandwidth network for real-time processing
  • Data privacy concerns with cloud-based AI
For technical folks

The deep-dive specs

Algorithm Count
50+ FDA-cleared
Imaging Modalities
CT scans, EKGs, echocardiograms, and more

FAQ

Includes technical Q&A
Viz.ai is an AI-powered platform that coordinates patient care by detecting diseases from medical images and alerting clinicians in real-time.

Traffic Insights

Monthly Visits

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October 2026

Growth Rate

0%

vs last month

Dominance

0%

in Search

Top Country

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Top Countries Breakdown

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Growth Trend

Stable

Traffic has remained stable.

Pricing overview
Paid Pricing

Viz.ai Pricing

Viz.ai uses a paid pricing structure. Real-time rates, custom enterprise quotas, and plan details are managed directly on their official platform.

Check Pricing on Viz.ai
Reviews

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