Cloud-Native Healthcare Architecture
MET-Ai is built on a cloud-native, microservices architecture. Every component scales independently, deploys without downtime, and handles any volume of concurrent patients and data.
The platform is deployed in Indian data centres, ensuring complete patient data sovereignty under the Digital Personal Data Protection Act while meeting global benchmarks for performance and availability.
- Auto-scaling compute that absorbs peak hospital load
- Multi-region replication for disaster recovery and zero data loss
- An API-first architecture for seamless hospital integration
- Zero-downtime deployment that never interrupts clinical operations
Edge AI for Immediate Decisions
For time-critical decisions, such as detecting a deteriorating intensive-care patient, MET-Ai deploys AI models directly on edge devices within the hospital network.
Edge computing keeps sensitive data local, reduces alert latency to under fifty milliseconds, and maintains full clinical function even when connectivity is unavailable.
- On-device inference running on bedside monitors and ward tablets
- Local processing for critical departments without internet dependency
- Offline-capable devices that synchronise when connectivity returns
- Hybrid orchestration across edge and cloud with automatic failover
Applications in Clinical Practice
One platform managing many hospital campuses from a single dashboard.
Edge AI bringing specialist diagnostics to clinics with limited connectivity.
Edge triage models running before the patient reaches the emergency department.
Secure access to patient data and AI insight on any device.
Bidirectional integration with all major electronic record systems.
Real-time hospital capacity, throughput, and bottleneck data.
Deploy Cloud and Edge Computing in Your Hospital
Contact Eeswar Makineni to explore how this capability can transform your hospital.