Founded Year

2018

Stage

Series C | Alive

Total Raised

$143.25M

Valuation

$0000 

Last Raised

$60M | 3 mos ago

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

+124 points in the past 30 days

About Rad AI

Rad AI provides artificial intelligence (AI) solutions for the radiology sector. It focuses on helping physician workflows and patient care. It offers products that automate radiology reporting, impressions, worklist prioritization, and patient follow-ups, aiming to save time for radiologists and reduce burnout. It serves the healthcare sector. It was founded in 2018 and is based in San Francisco, California.

Headquarters Location

548 Market Street

San Francisco, California, 94104,

United States

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Rad AI's Product Videos

ESPs containing Rad 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 workflow automation market improves the efficiency and accuracy of radiology processes through technology. This includes tasks such as patient scheduling, exam and procedure ordering, patient document management, report generation, and communications. Software solutions and platforms integrate with radiology information systems and picture archiving and communication systems to autom…

Rad AI named as Leader among 11 other companies, including Viz.ai, Sirona Medical, and Core Sound Imaging.

Rad AI's Products & Differentiators

    Rad AI Impressions

    Rad AI Impressions revolutionizes radiology workflows by automatically generating first-draft impressions from dictated findings, customized to each radiologist’s unique language and style. This zero-click solution integrates seamlessly into existing workflows, eliminating repetitive tasks and enabling radiologists to focus on image interpretation, maximizing their clinical expertise to improve patient care. Impressions are generated in 0.5 to 3 seconds, significantly reducing dictation time and mental fatigue. By automating this process, radiologists save 60+ minutes per shift, enhancing efficiency and reducing burnout.

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Expert Collections containing Rad AI

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

Rad AI is included in 5 Expert Collections, including Digital Health.

D

Digital Health

11,306 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.

D

Digital Health 50

200 items

The winners of the third annual CB Insights Digital Health 150.

A

AI 100

100 items

G

Generative AI

1,299 items

Companies working on generative AI applications and infrastructure.

A

Artificial Intelligence

7,221 items

Rad AI Patents

Rad AI has filed 16 patents.

The 3 most popular patent topics include:

  • health informatics
  • machine learning
  • medical imaging
patents chart

Application Date

Grant Date

Title

Related Topics

Status

9/28/2023

1/14/2025

Parallel computing, Economic systems, Project management, Grid computing, Production and manufacturing

Grant

Application Date

9/28/2023

Grant Date

1/14/2025

Title

Related Topics

Parallel computing, Economic systems, Project management, Grid computing, Production and manufacturing

Status

Grant

Latest Rad AI News

Fujifilm strikes partnership with Us2.ai for AI echocardiography analysis

Mar 24, 2025

Fujifilm strikes partnership with Us2.ai for AI echocardiography analysis Us2.ai’s AI-based software is being integrated into Fujifilm’s LISENDO ultrasound systems to expedite cardiology image analysis. Share Cardiovascular diseases (CVDs) such as stroke and heart attack are the leading cause of mortality worldwide. Image credit: sasirin pamai via Shutterstock. Fujifilm is collaborating with Singapore-based company Us2.ai to integrate the company’s AI-based image analysis software into the clinical workflows of the LISENDO 880 and LISENDO 800 cardiovascular ultrasound systems for diagnosing heart disease. Us2.ai’s software will analyse the images obtained with Fujifilm’s ultrasound systems, mitigating the manual analysis processes that previously had to be undertaken by clinicians. The software conducts fully automated analyses of all heart chambers using both 2D and Doppler views, as well as captures a range of other clinically significant measurements. Once an image analysis is completed, Us2.ai’s software presents clinicians with disease indication conclusions based on international guidelines and recommendations to inform the next steps of treatment. The LISENDO 880 and its predecessor, the LISENDO 800, are specifically designed for performing echocardiography, a non-invasive procedure that uses high-energy ultrasound to look at tissues and organs inside the chest. Although the procedure is widely used and considered one of the safest, most reliable and cost-effective ways to diagnose cardiovascular diseases (CVD), it is a particularly time-consuming process and requires highly trained sonographers , who are in short supply, among other specialist practitioners, on a global scale. Calling echo images the “gold standard” for non-invasive cardiac imaging, Hideyuki Honda, vice president for the ultrasound business unit and business development at Fujifilm Healthcare Americas, stated that the average exam time can take between 40 and 90 minutes. However, Us2.ai’s software, which has been shown to result in a 70% reduction in measurement and report creation time versus manual methods, is expected to “dramatically reduce” this time burden. Honda said: “Integrating Us2.ai’s sophisticated AI with our cutting-edge LISENDO systems will provide cardiologists with exceptional, AI-driven automation analysis of the heart.” Us2.ai head of business development Seth Koeppel commented: “Fujifilm ultrasound is renowned for image quality. Combining this with Us2.ai’s fully automated AI analysis for echocardiography is a game-changer for echo labs that can now address the many workflow, quality, ergonomic and safety challenges they face.” CVDs are the leading cause of death worldwide, with CVDs such as coronary heart disease and peripheral artery disease contributing to 20.5 million deaths, or approximately a third of all global deaths, in 2021. AI in medical imaging has recently seen a rapid rise. US software company Rad AI brought its total funding to date to around $140m after completing a $60m Series C financing round in January to support the continued uptake of its AI-based software for use in radiology workflows. Last year, Elucid gained clearance from the US Food and Drug Administration (FDA) for PlaqueIQ , an AI-powered image analysis software designed to detect arterial plaque build-up, a key risk factor associated with CVDs such as stroke and heart attack. Sign up for our daily news round-up! Give your business an edge with our leading industry insights.

Rad AI Frequently Asked Questions (FAQ)

  • When was Rad AI founded?

    Rad AI was founded in 2018.

  • Where is Rad AI's headquarters?

    Rad AI's headquarters is located at 548 Market Street, San Francisco.

  • What is Rad AI's latest funding round?

    Rad AI's latest funding round is Series C.

  • How much did Rad AI raise?

    Rad AI raised a total of $143.25M.

  • Who are the investors of Rad AI?

    Investors of Rad AI include Artis Ventures, OCV Partners, Kickstart Fund, Khosla Ventures, UP2398 and 17 more.

  • Who are Rad AI's competitors?

    Competitors of Rad AI include Sirona Medical, Ferrum Health, Solventum, Eon, Agamon Health and 7 more.

  • What products does Rad AI offer?

    Rad AI's products include Rad AI Impressions and 2 more.

  • Who are Rad AI's customers?

    Customers of Rad AI include Guthrie Clinic, Radiology Associates of North Texas and Casper Medical Imaging.

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Compare Rad AI to Competitors

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Agamon Health

Agamon Health is a digital health company that provides AI-powered solutions in the healthcare sector. The company's offerings include follow-up management and care gap closure using generative AI, aimed at improving staff productivity and patient adherence to follow-up care. Agamon Health serves healthcare systems, imaging centers, and cancer centers, offering customizable solutions to address various clinical needs. It was founded in 2019 and is based in Tel Aviv-Yafo, Israel.

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Medicom

Medicom specializes in healthcare interoperability and operates within the health information technology sector. The company offers a federated health information network that aggregates and facilitates the exchange of health data through a single interface, enabling healthcare providers to access and share clinical records. Medicom's primary customer segments include the healthcare industry, government health agencies, and life sciences organizations. It was founded in 2015 and is based in Raleigh, North Carolina.

Sirona Medical Logo
Sirona Medical

Sirona Medical specializes in providing a cloud-native radiology operating system known as RadOS, which serves the healthcare sector by modernizing radiology practices. The company offers an AI-powered platform that integrates various radiology IT applications, such as diagnostic viewing, reporting, and image archiving, accessible from anywhere to enhance workflow efficiency and productivity. Sirona Medical's solutions cater to radiology practices looking to streamline operations and leverage advanced technology for improved patient care. It was founded in 2018 and is based in San Francisco, California.

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Iodine Software

Iodine Software specializes in AI-enabled solutions for healthcare finance and revenue cycle management. The company offers a suite of solutions that leverage machine learning to enhance clinical documentation integrity and optimize revenue capture for healthcare organizations. Iodine Software primarily serves the healthcare industry, with a focus on hospitals and healthcare systems seeking to improve financial performance and patient care. It was founded in 2010 and is based in Austin, Texas.

Playback Health Logo
Playback Health

Playback Health provides AI-based healthcare solutions, focusing on clinical documentation and communication in the healthcare sector. The company has an AI medical scribe that employs ambient listening technology to automate clinical documentation and facilitate communication. Playback Health serves the healthcare industry and integrates with electronic medical records (EMR) systems to assist clinicians. It was founded in 2018 and is based in Long Island City, New York.

Tali AI Logo
Tali AI

Tali AI specializes in artificial intelligence solutions for the healthcare sector, focusing on reducing the administrative burden for physicians. The company offers AI ambient scribe and medical dictation software that automatically generates clinical documentation and integrates seamlessly with various electronic health record (EHR) systems. Tali AI's products are designed to improve clinical documentation efficiency and support healthcare providers by handling administrative tasks securely and compliantly. It was founded in 2020 and is based in Toronto, Canada.

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