Research Partnerships Shape Real Clinical Innovation
We are currently focused on research, validation, and real-world testing of our federated learning platform. During this phase, we work with hospitals and health organizations through collaborative partnerships rather than traditional commercial licensing. Any revenue generated supports the expansion of our model library, platform capabilities, and deployment infrastructure. Our goal is to ensure the technology is proven, reliable, and clinically meaningful before broad commercial release.
Federated Learning Platform Deployment
A secure node installed inside each hospital’s firewall, enabling on-prem model training on local patient data. No data pooling, no transfers, and no new infrastructure required. Use your device or ours: 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 as soon as you plug it in.
Multi-Site Model Training & Validation
Run and compare models across multiple hospitals simultaneously. Encrypted updates allow collaborative learning while each site retains full control of its data.
Clinical & Operational Use-Case Development
Support for diverse predictive and operational models—from risk prediction to workflow forecasting—using a flexible, ethics-ready framework that adapts to each site’s needs.
Implementation & Research Partnership Support
Guidance through ethics, deployment, and early real-world testing. Collaborative partners help shape the platform while revenue in this phase is reinvested into expanding models and capabilities.
AI That Works With Your Systems, Not Against Them
FedEMR.ai deploys on-prem on your local device or a FedEMR device shipped to you depending on your service level. Models are trained locally and preserve all data governance policies. With no data movement, no centralized storage, and no operational disruption, your teams can adopt advanced AI capabilities without changing the systems they rely on every day.