RadNet, a U.S.-based provider of outpatient diagnostic imaging services, announced it has acquired Paris-based radiology artificial intelligence company Gleamer in a deal valued at up to €230 million, or about $270 million. The company said the acquisition will integrate Gleamer into its DeepHealth digital health subsidiary, expanding the platform’s clinical AI capabilities and positioning it as the largest provider of radiology clinical AI solutions worldwide.
Founded in 2017, Gleamer develops AI-powered imaging software designed to assist radiologists in diagnosing conditions across multiple imaging modalities including X-ray, mammography, CT and MRI. The company’s technology supports applications in musculoskeletal, breast, lung and neurologic imaging, with tools designed to improve diagnostic accuracy and reduce radiologist workload.
Gleamer currently employs more than 130 professionals and serves over 700 customer contracts across 44 countries. Its cloud-based software platform operates on a software-as-a-service model and has analyzed more than 30 million imaging exams across more than 2,250 locations worldwide.
RadNet said Gleamer achieved annual recurring revenue compound annual growth exceeding 90% between 2022 and 2025 and is expected to generate about $30 million in annual recurring revenue in 2026. The company noted that the acquisition will enhance DeepHealth’s commercial reach while adding a research and development team focused on AI-powered diagnostic solutions covering more than 25 clinical indications.
The integration of Gleamer’s products with DeepHealth’s existing AI solutions for breast, chest, neuro, prostate and thyroid imaging will create a combined portfolio covering screening, detection, interpretation and follow-up for a wide range of diseases, including many of the most prevalent cancer types as well as musculoskeletal and neurodegenerative conditions.
RadNet also plans to deploy Gleamer’s AI technologies across its imaging network to improve operational efficiency. The company said the technology will enable end-to-end AI-enabled workflows, including triage of urgent findings and automated draft reporting designed to help radiologists increase reading volumes with greater accuracy and standardization.
The acquisition is structured as an all-cash transaction that includes a post-closing milestone payment. RadNet said the valuation reflects Gleamer’s strong recurring revenue growth, high customer retention rates, cloud-native margins and a broad portfolio that includes multiple FDA-cleared and CE-marked devices.
KEY QUOTES
“As imaging volumes continue to rise amid an accelerating shortage of radiologists worldwide, reengineering high-volume workflows — particularly routine imaging such as X-ray, ultrasound and mammography — is becoming essential to sustaining access, efficiency and quality of care. For radiologists and providers, the key lies in advancing automated exam prioritization and draft reporting. The acquisition of Gleamer uniquely positions DeepHealth to expand its impact across routine imaging and high-impact acute diagnostic care and accelerate the delivery of automated diagnostics.”
Dr. Howard Berger, President And CEO, RadNet
“Joining DeepHealth marks an exciting new chapter for our business and team members. Our team has been driven by a mission to improve patient care and access, and we are proud of the impact we have had on our customers and patients worldwide. By combining our AI capabilities, product portfolio and strong commercial team with that of DeepHealth, we are poised to shape the future of intelligent imaging at scale.”
Christian Allouche, Co-Founder And CEO, Gleamer
“This acquisition brings together two leaders on strong growth trajectories to create a new standard of AI-powered care. By building on our combined strengths, we are redefining how imaging is delivered, at scale, with intelligence and automation, to advance access and efficiency while improving experiences and outcomes for patients and providers worldwide.”
Kees Wesdorp, President And CEO Of RadNet’s Digital Health Division, DeepHealth
