Founded Year

2016

Stage

Series D - II | Alive

Total Raised

$289.25M

Last Raised

$40M | 2 yrs ago

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

+27 points in the past 30 days

About Viz.ai

Viz.ai provides artificial intelligence (AI) enabled care coordination solutions in the healthcare sector. Their services include analyzing medical imaging data with cleared algorithms to provide insights and assessments for diagnosis and treatment decisions. Viz.ai serves healthcare providers and collaborates with life sciences partners. It was founded in 2016 and is based in San Francisco, California.

Headquarters Location

548 Market Street Suite 21826

San Francisco, California, 94104,

United States

833-849-8326

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Viz.ai's Product Videos

ESPs containing Viz.ai

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Healthcare & Life Sciences / Monitoring, Imaging & Diagnostics Tech

The radiology diagnostics (multiple modalities) market consists of solutions that offer various imaging modalities such as CT, MRI, ECG, Echo, and X-ray. The companies in this market leverage technology, including AI, in assisting with coordinating patient care, providing faster diagnoses, and improving radiologist efficiency and accuracy. It also offers insights into risk aspects of patient medi…

Viz.ai named as Leader among 15 other companies, including Aidoc, Qure.ai, and Butterfly Network.

Viz.ai's Products & Differentiators

    Viz LVO

    Viz LVO is an AI algorithm that detects suspected large vessel occlusions (LVO) from CT angiography, enabling faster stroke triage and improved outcomes.

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Research containing Viz.ai

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Viz.ai in 5 CB Insights research briefs, most recently on Apr 25, 2024.

Expert Collections containing Viz.ai

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Viz.ai is included in 5 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,276 items

A

AI 100 (All Winners 2018-2025)

200 items

D

Digital Health 50

450 items

The most promising digital health startups transforming the healthcare industry

D

Digital Health

11,408 items

The digital health collection includes vendors developing software, platforms, sensor & robotic hardware, health data infrastructure, and tech-enabled services in healthcare. The list excludes pureplay pharma/biopharma, sequencing instruments, gene editing, and assistive tech.

A

Artificial Intelligence

10,049 items

Viz.ai Patents

Viz.ai has filed 24 patents.

The 3 most popular patent topics include:

  • medical tests
  • medical terminology
  • emergency medicine
patents chart

Application Date

Grant Date

Title

Related Topics

Status

9/23/2022

1/14/2025

Medical tests, Wireless networking, Computer networking, Medical imaging, Emergency medicine

Grant

Application Date

9/23/2022

Grant Date

1/14/2025

Title

Related Topics

Medical tests, Wireless networking, Computer networking, Medical imaging, Emergency medicine

Status

Grant

Latest Viz.ai News

Clinician-Powered AI Solutions Set a New Standard: Black Book Survey Reveals Six Vendors Earning Near-Perfect User Scores

Jul 8, 2025

Press Release• Jul 8, 2025 13:45 EDT Clinician Co-Design Sets a New 2025 Bar for Healthcare AI TAMPA, Fla., July 8, 2025 (Newswire.com) - While healthcare AI adoption is frequently hindered by poor design, weak integration, and limited clinician involvement, six standout vendors have defied these industry-wide trends, according to a new Black Book Research survey. Conducted among 448 clinicians in Q2 2025, the study highlights how direct clinician involvement in AI design and development has delivered measurable, immediate clinical impact, with nearly 100% clinician satisfaction. Qualitative KPIs to Measure Clinician Input and AI Usability The following eight qualitative key performance indicators (KPIs) have been exclusively designed to measure how clinicians' insights directly shape the usability and effectiveness of AI solutions in healthcare: Clinical-Powered AI Solution KPI How Impact and Usability of AI Solutions are Evaluated Workflow Fit Clinician testimonials confirm seamless AI integration, highlighting improved workflow efficiency. User Satisfaction Users share qualitative accounts of enhanced ease-of-use and reduced cognitive burden. Adoption & Sustained Use Users describe sustained routine use, indicating AI's long-term integration into clinical practices. Clinical Impact Case studies and clinician narratives detail specific patient care enhancements attributed to AI implementation. Time Savings Qualitative feedback indicates substantial time savings, allowing more time for direct patient care. Feedback Loop Responsiveness Users provide accounts of meaningful and rapid incorporation of their suggestions into product updates. Depth of Clinician Involvement Narratives document clinician-led decision-making significantly shaping AI product evolution. Transparency & Trust Users offer testimonials describing high levels of trust in transparent and explainable AI outputs. The following vendors ranked highest among over 200 evaluated, with near-perfect cumulative scores on these KPIs: Epic Systems (EHR & Clinical AI) - 9.97/10 Epic Systems demonstrates exceptional clinician-powered design through its "Physician Builder" program, embedding frontline clinicians into every product stage. Clinicians rate Epic highly for Workflow Fit, User Satisfaction, Adoption & Sustained Use, and Time Savings, noting dramatically reduced documentation burdens and enhanced patient interactions. Signal 1 (Predictive Analytics & Clinical Decision Support) - 9.95/10 Signal 1 excels in predictive analytics and clinical decision support by deeply involving hospital-based clinical teams in solution development. Clinicians praised Signal 1's Clinical Impact, User Satisfaction, Transparency, and Workflow Fit, highlighting its seamless integration into care routines and meaningful impact on patient outcomes. Aidoc (Imaging AI & Radiology) - 9.93/10 Aidoc distinguishes itself through continuous development alongside practicing radiologists, ensuring optimal workflow alignment and usability. With exceptional ratings for Clinical Impact, Workflow Fit, and User Satisfaction, radiologists endorse Aidoc for providing precise, actionable diagnostic insights seamlessly integrated into daily practices. Suki AI (Digital Clinical Assistant) - 9.91/10 Suki AI's voice-enabled clinical assistant platform, designed through ongoing clinician collaboration, achieves high scores in User Satisfaction, Workflow Fit, and Feedback Loop Responsiveness. Clinicians highlight Suki's intuitive usability, considerable time savings, and consistent responsiveness to real-world user feedback. Notable (Workflow Automation & Ambient Documentation AI) - 9.90/10 Notable's clinician-first approach actively incorporates frontline user feedback, resulting in high scores for Workflow Fit, Feedback Loop Responsiveness, Transparency & Trust, and Adoption & Sustained Use. Clinicians commend Notable's seamless integration and significant reduction in administrative workload. Viz.ai (Imaging & Acute Care Coordination AI) - 9.90/10 Viz.ai collaborates directly with neurologists, radiologists, and emergency physicians, delivering immediate and measurable clinical outcomes, notably rapid stroke interventions. Clinicians awarded Viz.ai top marks in Clinical Impact, Workflow Fit, Time Savings, and Transparency & Trust, emphasizing the solution's actionable and timely insights. __________ Clinician-Centric Design Drives True AI Success "Healthcare AI's greatest successes don't arise from technical brilliance alone, they are rooted in deeply embedding clinicians within the design and deployment process," notes Doug Brown, Black Book's Founder. "These six standout vendors represent a new breed of AI innovation, demonstrating what's possible when frontline clinical expertise guides technology. In a healthcare environment often overwhelmed by disconnected, frustrating technology, these companies offer a compelling vision of what clinician-powered AI can truly achieve immediate usability, rapid adoption, measurable clinical outcomes, and meaningful clinician satisfaction." About Black Book Research Black Book™ is the healthcare industry's leading independent research and survey organization, trusted by healthcare providers, payers, and investors. Black Book maintains a vast database comprising over 3.3 million responses from healthcare IT users, clinicians, executives, and operational users across more than 10,000 healthcare programs, software solutions, managed services, outsourcing initiatives, consulting firms, start-ups, and capital equipment suppliers globally including input from 65 countries. Black Book's rigorous research methodology provides deep, unbiased insights into healthcare technology and service performance, empowering informed strategic decision-making across the healthcare industry. Media Contact:

Viz.ai Frequently Asked Questions (FAQ)

  • When was Viz.ai founded?

    Viz.ai was founded in 2016.

  • Where is Viz.ai's headquarters?

    Viz.ai's headquarters is located at 548 Market Street, San Francisco.

  • What is Viz.ai's latest funding round?

    Viz.ai's latest funding round is Series D - II.

  • How much did Viz.ai raise?

    Viz.ai raised a total of $289.25M.

  • Who are the investors of Viz.ai?

    Investors of Viz.ai include CIBC Innovation Banking, Kleiner Perkins, Charles River Ventures, Google Ventures, Susa Ventures and 19 more.

  • Who are Viz.ai's competitors?

    Competitors of Viz.ai include Powerful Medical, See-Mode Technologies, Medical Brain, Quibim, Aidoc and 7 more.

  • What products does Viz.ai offer?

    Viz.ai's products include Viz LVO and 4 more.

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Compare Viz.ai to Competitors

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RADLogics

RADLogics is a healthcare software company that provides AI solutions for the medical imaging sector. The company offers machine-learning image analysis tools for the detection and report generation processes for imaging data such as CT and X-ray scans. RADLogics serves the healthcare industry, focusing on radiology departments that use AI technologies in their diagnostic workflows. It was founded in 2010 and is based in New York, New York.

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Qure.ai

Qure.ai specializes in leveraging artificial intelligence to enhance healthcare accessibility and affordability and focuses on the healthcare sector. The company provides AI-powered tools for medical image analysis, including chest x-ray interpretation and management of various conditions such as lung nodules, strokes, and heart failure. Its solutions are designed to assist healthcare professionals in diagnosing and treating diseases, with a significant presence in the global healthcare AI market. It was founded in 2016 and is based in Mumbai, India.

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Imagen

Imagen focuses on providing technology-enabled diagnostic solutions in the healthcare sector. The company offers AI-enhanced medical interpretation and FDA-cleared diagnostic software designed to improve the accuracy and efficiency of medical imaging. Imagen primarily serves the healthcare industry, equipping primary care practices with advanced diagnostic tools and support. It was founded in 2015 and is based in New York, New York.

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EnvoyAI

EnvoyAI is a company involved in visualization and artificial intelligence in the medical imaging sector. They provide a platform that utilizes AI and visualization to automate insights across various medical specialties. It was founded in 2016 and is based in Durham, North Carolina.

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Densitas

Densitas provides artificial intelligence solutions within the breast cancer screening domain. The company offers products that automate breast density assessments, track mammography quality, and help in compliance with regulatory standards such as the Mammography Quality Standards Act (MQSA). It primarily serves the healthcare sector. The company was founded in 2011 and is based in Halifax, Canada.

Mirada Medical Logo
Mirada Medical

Mirada Medical specializes in medical imaging software within the healthcare technology sector. The company offers software applications that facilitate image analysis for cancer diagnosis and treatment, incorporating AI and automation to enhance clinician productivity and patient care. Mirada Medical's products are primarily utilized in the radiation oncology, diagnostic imaging, and interventional radiology sectors. It was founded in 2000 and is based in Oxford, United Kingdom. Mirada Medical operates as a subsidiary of CTI Molecular Imaging.

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