Rad AI

What do Impressions, Reporting and Continuity do?

Rad AI calls Impressions "the world's first generative AI impressions solution." The model is trained on each radiologist's voice and phrasing, works with the group's existing voice recognition, templates and reporting system, and inserts clinical guidelines without overwriting the report. Rad AI says Impressions passed 1M reports a month.

Reporting is the larger replacement. It is built as AI-first, cloud-native software with real-time continuous speech, pre-generated stable findings for unchanged follow-up exams and real-time quality checks before sign-off.

Continuity handles follow-up. It monitors 50+ categories of actionable incidental findings and coordinates outreach to providers and patients.

Rad AI describes the underlying model as refined across seven generations and trained on nearly a billion radiology reports. It states SOC 2 Type II and HIPAA compliance with human-in-the-loop quality assurance since 2019.

Rad AI claims no FDA clearance, and its report-generation products are not sold as diagnostic devices.

Who is behind it?

Rad AI was founded in 2018 by Jeff Chang, MD and Doktor Gurson and is based in San Francisco, according to its About page. The company calls itself remote-first with 200+ employees.

A seed round was led by Gradient Ventures, the $25M Series A by ARTIS Ventures and the $50M Series B by Khosla Ventures in May 2024. The $60M Series C, led by Transformation Capital in January 2025, was reported at a $525M valuation. Four health systems (Advocate Health, Memorial Hermann, Corewell Health and Atlantic Health) added an $8M extension in May 2025. Rad AI's homepage puts the total raised at nearly $150M. It has also acquired Equium Intelligence and calls RSNA Ventures its first industry partner.

What do customers and the trade press say?

The named praise is a customer quote on the homepage. Devang Gor, MD, Chair of Radiology at Lehigh Valley Health Network, says "Rad AI delivered on its promises and exceeded our expectations." ARA Health Specialists, Inland Imaging and Guthrie are also quoted there. Rad AI's timeline lists an AuntMinnie Best New Radiology Vendor award and a Best New Radiology Software award, a Black Book number one mean KPI score and a "Top 5 most-considered AI company by KLAS" line. A Rad AI case study describes a customer choosing it over "legacy reporting."

Rad AI also takes a position on the replacement debate. In an AuntMinnie op-ed it argued that replacing radiologists moves the risk onto patients.

How is it priced?

Rad AI has no pricing page, and a buyer gets a number only through a sales conversation.

The verdict

A radiology group that likes its current dictation and templates and wants the impression section drafted in each radiologist's voice should start with Impressions. A group ready to move the whole reporting stack should look at Reporting. Continuity can be bought as a follow-up program on its own. It is the wrong product for a buyer who needs an FDA-cleared diagnostic algorithm, and it has nothing for anyone outside radiology.