CaptION Health Inc.

CaptION Health Inc., often referred to as Caption Health, is a medical technology company headquartered in San Mateo, California. Founded in 2013 by Kilian Koepsell and Charles Cadieu, it became a wholly-owned subsidiary of GE HealthCare in February 2023 through an acquisition valued at approximately $150 million. As of March 2026, the company has approximately 42 employees.

CaptION Health specializes in artificial intelligence (AI) powered clinical applications designed to assist in early disease detection, primarily through ultrasound scans. Its flagship Caption AI platform provides real-time guidance for healthcare professionals to acquire diagnostic-quality cardiac ultrasound images, automatically assesses image quality, and calculates ejection fraction. The company also offers "Caption Care" services, delivering convenient and cost-effective echocardiograms, including in-home services, by leveraging its AI technology and a network of trained mobile technicians. CaptION Health was the first company to receive FDA approval for an AI-guided medical imaging acquisition system.

CaptION Health Inc. is actively engaged in patent litigation, primarily in a defensive posture against infringement allegations. While the provided data shows one plaintiff case at the Patent Trial and Appeal Board (PTAB), CaptION Health Inc. v. University of British Columbia, this Inter Partes Review (IPR) was filed by CaptION Health Inc. to challenge U.S. Patent No. 10,751,029. This IPR is in response to a patent infringement lawsuit brought by the University of British Columbia against CaptION Health Inc. in the U.S. District Court for the Northern District of California (Case #: 3:24-cv-03200).

The IPR focuses on the invalidation of claims within the '029 patent, which pertains to computer-implemented methods and systems for analyzing ultrasound images using neural networks to determine image properties and quality assessment. This patent dispute highlights CaptION Health's involvement in the rapidly evolving field of AI-driven medical imaging, particularly in cardiac ultrasound technology.