Federated Learning Using Micro Server Devices (IoT) in Underserved Regions
Clinical AI today is built almost entirely on data from wealthy, well-connected institutions. The models it produces reflect the demographics of those who could afford to participate and the treatments it validates exclude the majority of the world's patients.
Bavel changes the equation. Our platform brings AI models to the data, not the other way around. Hospitals in low- and middle-income countries can participate in global research without building expensive infrastructure, surrendering patient records, or navigating complex data export regulations.
The result is clinical intelligence trained on the full spectrum of human health, not just the portion that was easiest to digitise.
