Surgical robotics platform with modular laparoscopic systems and AI-enhanced imaging
Ronovo Surgical develops the Carina Platform, a modular robotic surgery system built on ROS, C++, and real-time kernels (QNX, VxWorks), paired with computer-vision pipelines (OpenCV, TensorFlow, PyTorch). The engineering-heavy org (35 of 60 core hires) is focused on surgical robot control algorithms, system architecture optimization, and performance testing—typical for hardware companies in clinical validation phases. Pain-point clustering around inspection standardization, safety compliance, and cost control suggests they're scaling manufacturing maturity while navigating medical device regulatory pathways.
Ronovo Surgical is a Shanghai-based medical robotics company founded in 2019, designing minimally invasive surgical systems combining robotic arms, high-definition imaging, and modular instrument suites. The Carina Platform integrates laparoscopic surgery, advanced visualization, and a full surgical instrument portfolio, developed through collaboration with surgeons to address unmet clinical needs. Currently available in mainland China, the company is expanding academic, clinical, and commercial partnerships. Operations span product development, automation tooling, system testing, and regulatory compliance for medical device certification.
ROS and ROS 2 for robotics middleware, C++ for core control software, QNX and VxWorks for real-time operating systems, OpenCV and TensorFlow for vision algorithms, and EtherCAT for motion control.
Shanghai, China. Founded in 2019, the company employs 201–500 people and is currently scaling manufacturing and regulatory operations.
Other companies in the same industry, closest in size