Iterative Model Updating Without Exposing Patient Data
FedEMR.ai is an ethics‑ready, privacy‑preserving federated learning platform that lets hospitals develop, test and evaluate AI models without transferring patient‑level data. Each site installs a lightweight node behind its firewall; only encrypted model updates are exchanged.
Flexible Deployment Options
Choose the model that fits your organization. For cloud‑ready installations, deploy lightweight on‑prem nodes. If you prefer a fully turnkey option, we’ll ship a secure, encrypted mini‑PC with FedEMR.ai pre‑loaded and ready to receive your models - plug and run.
Flexible Clinical & Operational Use Cases
Support diverse projects, from risk prediction to workflow optimization, using the same federated framework. Hospitals keep full control of their data and model selection.
Accelerated Model Development
Test, refine, and compare models across multiple sites simultaneously. Encrypted model updates flow between nodes, letting hospitals learn faster without sharing patient-level data.
End-to-End Implementation Support
From ethics approval to node installation and onboarding, our team guides each site through deployment, evaluation, and real-world model integration.
High-Performance Model Training With Proven Reliability
FedEMR.ai provides a secure, site-controlled environment for developing and evaluating AI models across multiple sites. Each node runs behind the organization's firewall, keeping patient-level data fully on-premises while enabling encrypted model updates to flow between participating hospitals.
This architecture delivers faster model development, consistent performance, and the reliability needed for real clinical and operational use cases, all without requiring data transfer agreements or new infrastructure.
We Take Pride in Our Numbers
12
Hospital Partners
3
Active Pilots
5
FL Nodes Deployed
7+
Models Supported
4
Academic Partners
Our Partners
