Rad AI
Headquarters
San Francisco, CAFounded
2018CEO / Founder
Doktor GursonEmployees
51-200Funding
Series C — $148MProducts
1 product listedAvg. AI Score
7.2/10Website
radai.com/
Profile updated
About Rad AI
Rad AI is a San Francisco-based company that develops generative AI software for radiology. It was founded in 2018 by Doktor Gurson and Jeff Chang to automate portions of radiology report generation and reduce the administrative burden on radiologists.
The company's core product, Rad AI Omni, generates draft impressions for radiology reports based on a radiologist's dictated findings, integrating with existing dictation and PACS/RIS workflows. Rad AI markets its software to hospital systems and radiology practices, positioning it as a tool to reduce reporting time and physician burnout while maintaining reporting consistency across large practices.
Rad AI has raised funding from investors including Khosla Ventures, Gradient Ventures (Google's AI-focused fund), and General Catalyst across multiple funding rounds. The company has grown its customer base among U.S. radiology groups and hospital systems since its founding.
Specialties
Financials
Dated, source-cited figures. Estimates are marked.
Products by Rad AI
All products by Rad AI reviewed by our AI panel of experts.
How Our Review Panel Scores Rad AI
Six independent reviewer personalities assessed Rad AI's product on their own terms. They disagreed by 1.9 points — The Finance Lead was the hardest to convince, The Domain Strategist the most positive.
Averaged across 1 reviewed product in our catalog. Scores are out of 10.
Competitive Landscape
Who Rad AI competes with, and how they differ.
Microsoft's Nuance unit owns PowerScribe, the long-standing radiology dictation and reporting platform Rad AI is most often displacing — Yale New Haven Health moved to Rad AI as Microsoft sunset PowerScribe 360. Nuance sells documentation AI across every specialty (Dragon, DAX) and bundles it with Azure, whereas Rad AI is radiology-only and sells its own domain-trained models directly to imaging practices and health systems.
9 products reviewed on TopReviewed
Aidoc competes for the same radiology AI budget but from the pixel side: FDA-cleared algorithms that read the image and flag time-critical findings such as pulmonary embolism and intracranial hemorrhage, now extended into an orchestration platform for third-party models. Rad AI works on the report text and the follow-up loop rather than on image interpretation.
1 product reviewed on TopReviewed
Viz.ai overlaps Rad AI Continuity directly — both close the loop between a finding in an imaging study and the clinician who must act on it. Viz.ai triggers that loop from its own 50+ FDA-cleared detection algorithms across neuro, cardiac and vascular pathways; Rad AI triggers it from language in the radiologist's finished report, which covers incidental findings no detection algorithm was trained for.
1 product reviewed on TopReviewedSolventum, the 3M Health Information Systems spinout, sells M*Modal Fluency for Imaging — the other established speech-driven radiology reporting platform alongside Nuance PowerScribe. It reaches radiology through 3M's incumbent health-information and coding footprint, while Rad AI is a venture-funded pure play that leads with generative report drafting rather than dictation front-ends.
Company Timeline
Key milestones in Rad AI's history, with sources.
- Partnership
Yale New Haven Health deploys Rad AI across its imaging network
Yale New Haven Health System deployed Rad AI across more than 16 outpatient imaging centers and five hospital campuses handling over 700,000 radiology exams a year, replacing legacy reporting infrastructure.
prnewswire.com - Launch
Next-generation speech recognition for radiology reporting
At RSNA in Chicago, Rad AI launched patent-pending speech recognition built on proprietary multi-model AI and integrated into Rad AI Reporting, aimed at the speed and accuracy of radiology dictation.
prnewswire.com - Funding
Series C extended to $68M with $8M from four health systems
Advocate Health, Memorial Hermann Health System, Corewell Health and Atlantic Health System invested an additional $8 million as strategic investors, extending the Series C to $68 million. The four systems operate more than 100 hospitals between them.
prnewswire.com - Funding
Series C — $60M led by Transformation Capital at a $525M valuation
The oversubscribed $60 million Series C was led by Transformation Capital, with Khosla Ventures, World Innovation Lab, UP2398, Kickstart Fund, OCV Partners and Cone Health participating. It valued Rad AI at $525 million and brought total investment to over $140 million.
prnewswire.com - Funding
Series B — $50M led by Khosla Ventures
Khosla Ventures led the $50 million Series B with participation from WiL (World Innovation Lab) and existing investors ARTIS Ventures, OCV Partners, Kickstart Fund and Gradient Ventures, bringing total capital raised to over $80 million. Rad AI said its solutions were in use at more than a third of US health systems and 9 of the 10 largest US radiology practices.
prnewswire.com - Partnership
Partnership with Google Cloud, including MedLM models
Rad AI announced a partnership to build on Google Cloud's platform and AI tools, including MedLM, a family of foundation models fine-tuned for healthcare use cases. Google Cloud became Rad AI's preferred cloud provider.
prnewswire.com - Launch
Omni Unchanged launched at RSNA 2023
Rad AI unveiled Omni Unchanged inside Omni Reporting at RSNA 2023. The feature extracts stable and unchanged findings from prior reports, letting radiologists dictate complex follow-up exams up to 50% faster using up to 90% fewer words. Omni Reporting had won AuntMinnie's Best New Radiology Software award for 2023 a month earlier.
prnewswire.com - Partnership
Siemens Healthineers reseller agreement
Siemens Healthineers agreed to resell Rad AI Continuity, an automated patient follow-up and management solution, and Rad AI Omni Impressions, extending Rad AI's distribution to hospitals and health systems through the imaging vendor's channel.
radai.com - Acquisition
Acquired Equium Intelligence
Rad AI acquired Equium Intelligence, adding AI-driven demand forecasting and resource-optimization algorithms to its radiology workflow suite and bringing radiologist informaticists Bill Boonn and Woojin Kim onto the leadership team. Terms were not disclosed.
radai.com - Funding
Series A — $25M led by ARTIS Ventures
ARTIS Ventures led the $25 million Series A, joined by existing investors OCV Partners, Kickstart Fund and Gradient Ventures. The round funded development and commercialization of Rad AI Omni and Rad AI Continuity, then in use at 7 of the 10 largest US private radiology practices.
prnewswire.com - Funding
Seed — $4M led by Gradient Ventures
Rad AI launched publicly with a $4 million seed round led by Gradient Ventures, Google's AI-focused venture fund. UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and angel investors also participated.
prnewswire.com - Founded
Rad AI founded by radiologist Jeff Chang and Doktor Gurson
Dr. Jeff Chang — the youngest radiologist on record in the US — pursued graduate work in machine learning after seeing radiologist burnout and rising imaging demand, then co-founded Rad AI in 2018 with serial entrepreneur Doktor Gurson. Its first product, Rad AI Impressions, automatically drafted the impression section of radiology reports.
prnewswire.com
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