Artificial intelligence (AI)-powered medical technology, Samsung Medison, a subsidiary of Samsung Electronics specializing in diagnostic imaging devices, announced plans to acquire Sonio, a French startup developing AI software for ultrasound workflows. The deal is valued at approximately $92.7 million (KRW 126 billion).
Sonio, based in Paris, has made a name for itself with software designed to streamline ultrasound examinations for medical professionals, particularly obstetricians and gynecologists. Their AI assistant helps with tasks like evaluation and documentation during ultrasounds. Additionally, Sonio boasts regulatory clearance from the US Food and Drug Administration (FDA 510(k)) for Sonio Detect, a product that utilizes deep learning algorithms to enhance the quality of ultrasound scans in real time.
This acquisition by Samsung Medison is expected to accelerate the development and integration of AI-driven functionalities into their imaging devices. Samsung Medison believes Sonio’s software will be instrumental in bringing more efficient and advanced AI workflows to the medical imaging market.
Founded in 2020 by Cecile Brosset (CEO) and Remi Besson (CSO), Sonio recently secured $14 million in a Series A funding round led by Cross Border Impact Ventures in August 2023. Interestingly, Samsung Medison itself was acquired by Samsung Electronics in 2011 for $22 million.
Following the acquisition, Samsung has assured that Sonio will continue to operate as an independent entity, maintaining its commercial growth and product offerings within France. This move suggests Samsung Medison’s intent to leverage Sonio’s expertise while fostering continued innovation within the French startup.
The acquisition signifies a growing trend in the medical technology industry, where AI is increasingly seen as a powerful tool for improving diagnostic accuracy, streamlining workflows, and potentially even personalizing patient care. This deal between Samsung Medison and Sonio is likely to be closely watched by industry players as it paves the way for further advancements in AI-powered ultrasound technology.
