Driven by Vision, Defined by Goals, Powered by Passion
We do not seek to bring yet another AI based software to assist radiologists in their tasks. Our embedded AI systems aim to provide a scalable agnostic solution to enhance breast cancer diagnostic precision and improve the accessibility of mammography and MRI exams.
Towards Eco-responsible Medical AI
Lower power consumption
We design our solutions on resource constrained devices and aim to drastically reduce the power consumption of computer-aided diagnostic systems.
Sustainable Infrastructure
Our solutions integrate seamlessly with energy-efficient hardware, promoting greener diagnostic workflows for radiology departments.
Accessibility in mind
With embedded AI, we make advanced diagnostic tools more accessible, even in remote or underserved areas, reducing dependence on costly infrastructure and high-bandwidth networks.
Meet our team
We bring together a dedicated founding group and members from a partnership with the University of Picardie Jules Verne (UPJV). Through this collaboration combining our practical experience and the research expertise of the UPJV, we have created a dynamic team dedicated to health innovation.
