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Viz.ai

viz.ai

Founded Year

2016

Stage

Series D - II | Alive

Total Raised

$290.06M

Last Raised

$40M | 2 mos ago

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

+10 points in the past 30 days

About Viz.ai

Viz.ai offers a cloud-based care coordination platform that uses artificial intelligence to accelerate disease detection, inform critical care decisions, and help improve patient care. It develops intelligent care coordination solution that identifies patients, informs critical decisions at the time of care, optimizes care pathways, and helps improve outcomes. The company was founded in 2016 and is based in San Francisco, California.

Headquarters Location

201 Mission Street 12th Floor

San Francisco, California, 94105,

United States

866-849-4980

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 AI — diagnostics (multiple modalities) market is a rapidly growing segment of the healthcare industry that utilizes artificial intelligence technology to aid in the diagnosis and treatment of various medical conditions. This market encompasses a range of diagnostic imaging modalities, including X-rays, CT scans, MRI scans, and ultrasound. The use of AI in radiology has shown promisin…

Viz.ai named as Leader among 9 other companies, including Qure.ai, Arterys, and RapidAI.

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Viz.ai's Products & Differentiators

    Viz Neuro Suite

    Viz Neuro Suite encompasses AI algorithms to detect suspected stroke, aneurysms, subdural hematomas and more.

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 9 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,208 items

A

AI 100

200 items

A

Artificial Intelligence

10,622 items

This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.

D

Digital Health 150

450 items

2019's cohort of the most promising digital health startups transforming the healthcare industry

M

Medical Devices

12,798 items

Companies developing medical devices (per the IMDRF's definition of "medical device"). Includes software, lab-developed tests (LDTs), and combination products. *Columns updated as regularly as possible.

H

Health Monitoring & Diagnostics

3,038 items

Companies developing or offering products that aid in the assessment, screening, diagnosis, or monitoring of a person's state of health/wellness. Excludes companies focused solely on fitness/sports performance

Viz.ai Patents

Viz.ai has filed 17 patents.

The 3 most popular patent topics include:

  • Medical tests
  • Medical terminology
  • Triage
patents chart

Application Date

Grant Date

Title

Related Topics

Status

12/15/2020

4/11/2023

Triage, Computer networking, Medical tests, Stroke, Wireless networking

Grant

Application Date

12/15/2020

Grant Date

4/11/2023

Title

Related Topics

Triage, Computer networking, Medical tests, Stroke, Wireless networking

Status

Grant

Latest Viz.ai News

Viz.ai Expedites Patient Enrollment in PE-TRACT Clinical Trial

May 1, 2023

AI-powered clinical research platform will be used to find, screen and enroll patients in study of catheter-directed therapy for pulmonary embolism. Michael Barbella, Managing Editor05.01.23 Viz.ai  is using its Viz RECRUIT platform to optimize patient enrollment for the NIH-funded1 pulmonary Embolism—Thrombus Removal with Catheter-Directed Thrombolysis (PE-TRACT) clinical trial. The  PE-TRACT  trial will be the most rigorous randomized controlled clinical trial to date of catheter-directed therapy for pulmonary embolism, with plans to enroll 500 patients across 30-50 sites, according to the company. The study is designed to address whether catheter therapy should be routinely used to treat intermediate-risk pulmonary embolism versus anticoagulants alone. Pulmonary embolism occurs when a blood clot is trapped in an artery in the lung, blocking blood flow to part of the lung. “The PE-TRACT trial will offer a deeper knowledge of pulmonary embolism by providing a comprehensive comparison of catheter-directed therapy plus anticoagulation to anticoagulation alone,” said Dr. Akhilesh Sista, principal investigator of the PE-TRACT trial, interventional radiologist, and faculty member of Weill Cornell Medical College. “PE-TRACT will provide valuable insights to patients and providers regarding which approach best maintains cardiopulmonary health in the year following PE. Viz.ai’s RECRUIT tool has the potential to efficiently identify potential participants and help this trial complete enrollment on time.” Participating research institutions in the PE-TRACT trial will use Viz RECRUIT to find, screen, and enroll clinical trial candidates. Viz RECRUIT, an AI-powered clinical trial enrollment platform, automates the identification and triage of eligible candidates for pre-trial review, while reducing the burden on the research team. Using Viz RECRUIT, sites will be able to automatically screen patients based on pulmonary embolism and high right ventricular to left ventricular diameter (RV/LV) ratio. The cloud-based technology helps to broaden the recruitment funnel in both size and diversity and streamlines the trial enrollment workflow. To date, Viz RECRUIT has been used to screen nearly 300,000 patients and identify over 14,000 clinical trial candidates across 100 healthcare facilities. “We’re honored to be the partner of choice for this clinical trial to accelerate vascular research using Viz RECRUIT. With our platform’s real-world accuracy and demonstrated success, researchers can use AI to identify potentially eligible trial candidates, regardless of their location, ultimately expediting the clinical trial enrollment process,” Viz.ai Chief Clinical Officer Jayme Strauss stated. “We aim to expand the participation and diversity of participants in clinical research to make treatments safer for all patients and advance the development of novel treatments, while empowering research teams to efficiently and consistently screen for patients and coordinate research.” Viz.ai uses AI algorithms and machine learning to increase access to life-saving treatments, covering more than 200 million lives across 1,300+ hospitals and health systems in the United States and Europe. The AI-powered Viz Platform is an intelligent care coordination solution that identifies more patients, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Reference 1 The study was funded by the National Heart, Lung, and Blood Institute, of the National Institutes of Health, under grant award number 1UG3HL155798-01A1. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

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 201 Mission 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 $290.06M.

  • Who are the investors of Viz.ai?

    Investors of Viz.ai include CIBC Innovation Banking, U.S. Food and Drug Administration, Kleiner Perkins Caufield & Byers, Google Ventures, CRV and 11 more.

  • Who are Viz.ai's competitors?

    Competitors of Viz.ai include 16-Bit and 8 more.

  • What products does Viz.ai offer?

    Viz.ai's products include Viz Neuro Suite and 4 more.

Compare Viz.ai to Competitors

Qure.ai Logo
Qure.ai

Qure.ai provides an artificial intelligence-based system to identify abnormalities in head CT scans. It leverages deep learning effectively to diagnose diseases from radiology and pathology imaging and create personalized cancer treatment plans from psychopathology imaging and genome sequences. It was founded in 2016 and is based in Mumbai, India.

A
Aidoc Medical

Aidoc finds and flags critical findings in medical images. By automatically prioritizing urgent, life-threatening conditions like intracranial hemorrhage and pulmonary embolism, Aidoc saves lives, improves patient care and cuts waiting time for the must urgent patients down to only a few minutes. The always-on AI integrates into a radiologist's workflow, reprioritizing cases without forcing radiologists to change the way they work. Aidoc was founded in 2016 and is based in Tel Aviv, Israel.

Ultromics Logo
Ultromics

Ultromics provides autonomous echocardiography analysis through AI solutions, empowering physicians to make decisions when diagnosing cardiovascular disease. Its cloud-based service, EchoGo, uses artificial intelligence to fully automate the pathway to diagnosis, providing reports for clinicians without any need for physical software on-site. The company was founded in 2017 and is based in Oxford, U.K.

K
Kheiron Medical Technologies

Kheiron Medical Technologies operates as a healthcare software company. It helps breast cancer patients analyze medical images and its software uses the analysis results to enable the automation of radiology reporting tasks. It was founded in 2016 and is based in London, United Kingdom.

VuCOMP Logo
VuCOMP

VuCOMP designs and develops computer-aided detection systems (CAD) for automatic analysis of medical images. The company's mission is to extend lives, shorten treatment times, and reduce treatment costs by enabling physicians to identify disease at earlier stages. M-Vu CAD is a computer-aided detection (CAD) system that assists radiologists by automatically identifying areas of a mammogram that are consistent with breast cancer. M-Vu CAD analyzes a mammogram using advanced mathematical algorithms to search for suspicious areas and mark them with outlines that indicate the type of potential abnormality. Solid lines indicate a possible mass while dotted lines indicate a possible cluster of microcalcifications.

InformAI Logo
InformAI

InformAI is a healthcare informatics company founded with the belief that Al can provide a paradigm shift in clinical workflows. The company develops predictive analytics tools that speed up medical diagnosis at the point-of-care and extract data insights to improve patient outcomes. Its products focus on high impact medical conditions including cancer, cardiac/thoracic surgery, wound care and sinus. InformAI was founded in 2017 and is based in Houston, Texas.

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