Led · Series C · May 2025

Rad AI develops generative AI products for radiology, including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity, that are embedded into radiologists' workflows. Its Impressions product automates the impression section and saves radiologists more than an hour per shift on average. Rad AI Reporting includes features such as Omni Unchanged and Omni Report, which cut follow-up dictation time by 50%, reduce spoken words by 90%, and can double reporting speed. Rad AI Continuity automates tracking and coordination of incidental findings and has improved follow-up exam completion rates from approximately 30% to over 75% at users. The platform is trusted by thousands of U.S. radiologists and supports providers responsible for nearly half of all imaging volume in the U.S. The company is scaling enterprise deployments across hospitals and clinics with health-system partners to expand adoption and improve care coordination and efficiency. Rad AI develops generative AI solutions for radiology including Rad AI Impressions, Rad AI Reporting, and Rad AI Continuity that automate draft report text, reduce dictated words, and close the loop on actionable findings. Its flagship Rad AI Reporting can reduce dictated words by up to 90% and save providers up to 50% of their time; Rad AI Continuity has raised follow-up rates at health systems from about 30% to 75% or more. The company's products are used by thousands of U.S. radiologists daily and are deployed at health systems and practices that account for nearly 50% of U.S. medical imaging. Rad AI says it was the first to commercialize a generative AI product in healthcare and has been recognized by CB Insights and AuntMinnie for its products. The company is hiring across roles and plans to accelerate development and deployment of its generative AI technology to healthcare providers and systems globally. Rad AI builds software that generates radiology reports, aiming to cut the time radiologists spend on documentation. The company developed a proprietary LLM trained on radiology report datasets to automate findings and impressions. Rad AI says it began using LLMs in 2018 and positions itself as an early adopter of generative AI in radiology. Its products are used by about a third of U.S. health systems and nine of the 10 largest radiology groups. The company has raised over $80 million in total capital after a $50M Series B and plans to use the fresh funding to build a team to deploy a standalone radiology reporting solution. Rad AI is hiring staff to install and maintain the software and reports it has not lost a single customer since launch. Rad AI provides an AI platform that automatically generates customized impressions from dictated findings and clinical indications, learning each radiologist’s language preferences from prior reports. Its core offerings, Rad AI Omni and Rad AI Continuity, aim to improve report accuracy and consistency, surface significant incidental findings, and provide guideline-based follow-up recommendations. Omni injects the impression directly into the practice’s voice recognition software without extra clicks or windows, while Continuity closes the loop on follow-up by integrating into health systems’ EMRs and offering an outpatient platform. The company emphasizes time savings for radiologists, improved report processes, and reduced burnout. Rad AI is working with seven of the ten largest private radiology practices in the U.S. and plans to use new funding to further develop and commercialize its products. Rad AI, founded in 2018 by Doktor Gurson and Dr. Jeff Chang in Berkeley, Calif., builds machine-learning tools to automate repetitive radiology tasks. Its first product automatically generates the impression section of radiology reports, customized to each radiologist's preferred language. The company raised $4M in seed funding to build out its engineering team and expand the rollout of its first product to more radiology groups and customers. The round was led by Gradient Ventures, with participation from UP2398, Precursor Ventures, GMO Venture Partners, Array Ventures, Hike Ventures, Fifty Years VC and various angels. Current partners include Greensboro Radiology, Medford Radiology, Einstein Healthcare Network and Bay Imaging Consultants, along with other radiology groups yet to be announced.