India's privacy-first federated AI platform for hospitals. Patient data never leaves. Diagnostics, records, and intelligence — unified.
Hospital OS
Patient records, referrals, diagnostics operations, and clinical workflows are designed to live in one unified operating surface instead of disconnected tools.
AI Diagnostics
Symptom triage, imaging review, and explainable AI guidance help clinicians work faster while keeping doctors firmly in control of the final decision.
Federated Intelligence
Hospitals contribute encrypted lessons rather than raw patient data, allowing the network to improve together without violating privacy boundaries.
Hospital data is trapped while care teams operate under pressure.
Medow is designed around a simple premise: local data should create network-wide intelligence without introducing privacy risk or workflow drag.
95% of hospital data remains unused.
DPDP 2023 raises the cost of centralized AI.
Legacy systems fragment diagnostics, records, and workflows.
India’s doctor shortage makes clinical leverage essential.
A privacy architecture that learns across hospitals without shipping patient records.
Medow replaces centralized data movement with a federated loop: local learning, encrypted updates, stronger shared models, and continuous clinical improvement.
Data stays local
Instead of centralizing records, Medow sends intelligence to the hospital edge. Raw patient data remains on hospital premises.
Hospitals train locally
Each site learns from its own cases and workflows, producing encrypted improvements rather than exporting patient files.
The network aggregates learning
The Medow Engine combines those encrypted updates into a stronger master model without exposing the underlying clinical data.
Every hospital gets smarter
Updated models return to every partner, compounding accuracy, workflow efficiency, and defensibility across the network.
Built for hospitals that need better intelligence without regulatory exposure.
The advantage compounds with every partner: more case diversity, stronger models, better outcomes, and a tighter operating loop for clinicians.
More hospitals. More diverse learning. Better models.
Medow turns hospital participation into a defensible flywheel. Every new partner adds differentiated learning while still preserving local control over clinical data.
Partner with Medow to shape the next generation of privacy-first healthcare AI.
We’re actively looking for hospital partners, clinicians, and strategic supporters who want to help define what trusted clinical intelligence should look like in India.