Healthcare AI at the Edge.
Patient data stays on-device. Always.
AI-assisted diagnostics, real-time patient monitoring, medical image analysis, and surgical navigation. Patient data never leaves the hospital network — HIPAA and DPDP compliant by architecture, not by policy.
Three healthcare AI deployment tiers
From bedside monitoring to hospital-wide AI infrastructure — edge AI that meets medical device regulations and clinical workflow requirements.
Clinical Edge Compact
- Application Patient monitoring AI
- Power 15W medical-grade PSU
- Certifications IEC 60601 (pending)
- I/O HL7 / DICOM gateway
- Enclosure Medical-grade plastic
- Connectivity Wi-Fi 6 + Ethernet
Radiology AI Station
- Application Medical imaging AI
- Power 25W medical-grade PSU
- Display DICOM calibrated output
- Storage 2TB NVMe for PACS
- I/O DICOM + HL7 FHIR
- Integration PACS / RIS / HIS
Hospital AI Server
- Application Hospital-wide AI
- Power Rack-mount 1U/2U
- Storage 8TB NVMe for imaging
- Integration Full HIS/PACS/RIS
- Compliance HIPAA + DPDP
- Dashboard Clinical AI analytics
AI capabilities for healthcare delivery
Medical Image Analysis
AI-assisted analysis of X-ray, CT, MRI, and ultrasound images. Automated detection of fractures, tumours, lung nodules, and retinal pathologies.
Real-Time Patient Monitoring
Continuous AI analysis of ECG, SpO2, blood pressure, and other vital signs. Early warning score calculation and deterioration prediction.
Pathology AI
Digital pathology with AI-powered cell counting, tissue classification, and anomaly detection. Accelerate histopathology workflows with on-device inference.
Surgical Navigation
Real-time AI-guided surgical navigation with sub-millimetre precision. Organ segmentation, instrument tracking, and procedure planning.
Diagnostic Assistance
AI second opinion for clinical decision support. Differential diagnosis suggestions, drug interaction alerts, and evidence-based treatment recommendations.
Data Sovereignty
Patient data never leaves the hospital network. Full HIPAA, DPDP Act, and ABDM compliance. Zero cloud dependency for sensitive medical information.
Healthcare AI applications
Radiology AI
Chest X-ray screening, CT lung nodule detection, mammography CAD, and MRI brain analysis. AI triage for faster radiologist workflow.
Ophthalmology AI
Diabetic retinopathy screening, glaucoma detection, and AMD risk assessment from fundus photography. Portable screening for rural camps.
Neonatal & ICU
Continuous AI monitoring of NICU patients. Sepsis prediction, apnoea detection, and automated APGAR scoring with real-time clinical alerts.
Hospital Operations
Patient flow optimisation, bed occupancy prediction, staff scheduling AI, and equipment utilisation tracking for hospital administrators.
RDP integration for healthcare AI
Medical-Grade Hardware
IEC 60601-1 compliant power systems, medical-grade enclosures, and antimicrobial surface treatments. Designed for clinical environments.
DICOM / HL7 Integration
Native DICOM and HL7 FHIR connectivity for PACS, RIS, and HIS integration. ABDM-compliant for India’s digital health ecosystem.
Government Hospital Ready
GeM-listed for government hospital procurement. Ayushman Bharat-compatible AI infrastructure. MII-certified for institutional healthcare.
Clinical Deployment Support
Site assessment, PACS integration, model validation, and clinical workflow optimisation. RDP supports from pilot to hospital-wide deployment.
Ready to bring AI to the edge?
Tell us your use case, performance requirements, and deployment scale. We’ll recommend the right platform, configure the right Edge PC, and deliver validated hardware — from pilot to production.