SentraNova is a federated learning platform built for healthcare. Each hospital keeps its data local — only encrypted model updates travel the network.
Each hospital trains the model on its own data. Raw patient records never leave the premises.
Only encrypted model updates are sent to the SentraNova aggregator — zero PHI transmitted.
Every gradient submission is recorded on an immutable ledger, providing full regulatory auditability.
The improved global model is distributed back to all participating institutions — everyone gets smarter.
Onboard your hospital or health system in minutes. SentraNova's lightweight agent integrates with Epic, Cerner, or any FHIR-compatible EHR — no data ever leaves your firewall.
Your data never moves. The model comes to your data. Local training runs entirely within your infrastructure — only encrypted gradient updates are shared, never raw records or PHI.
Receive a global model trained on insights from 100+ institutions — dramatically more accurate than any single hospital could build alone. Every participant gets smarter, together.
Discover how training models across isolated hospital networks — without sharing patient records — is unlocking diagnostic breakthroughs impossible with siloed data.
SentraNova's architecture was designed from day one around HIPAA privacy rules, FHIR R4 interoperability, and HL7 messaging standards — so your compliance team can breathe.
Federated learning enables training on diverse, distributed patient populations — reducing the systemic bias that emerges when AI is trained on data from a single institution.
SentraNova was founded on a simple belief: hospitals should be able to collaborate on AI without compromising the trust their patients place in them.
Our team brings together expertise from healthcare informatics, cryptography, distributed systems, and regulatory compliance — building the infrastructure layer that makes federated learning practical at scale.
See SentraNova running live across simulated hospital nodes in a 15-minute demo.