An AI-assisted cloud imaging platform built for the Indian diagnostic network — where radiologist scarcity is structural, turnaround time is clinical, and the infrastructure was not designed for what is being asked of it.
The Problem We're Solving
India is placing scanners in district hospitals that previously had no imaging capability. The radiologists to read them are not following. A conventional PACS moves the scan from film to screen. It does not move the radiologist to the scan.
Tier 2 and Tier 3 cities — where new diagnostic infrastructure is being placed — are largely on their own. No routing intelligence in a legacy system changes that.
The Ayushman Bharat Health Infrastructure Mission is systematically expanding scan capacity. More studies, same shortage. The gap widens by design.
On-premises servers, no dynamic matching, no AI assist, no subspecialist routing. A tool for a world where radiologists and scanners were in the same room.
An overloaded radiologist opening a complex MRI series to a blank report template wastes the most constrained resource in the system — clinical attention.
How It Works
A living network — not a storage system. Every step orchestrated, audited, and AI-assisted.
Diagnostic centre uploads DICOM study. Data routes within Indian Azure regions. No cross-border transfer.
Structured findings generated before the radiologist opens the viewer — flags, laterality, critical findings surfaced.
Study matched to radiologist by modality, urgency, subspecialty, availability. Geography irrelevant.
Radiologist judges, amends, signs. AI contribution explicitly marked. Liability structurally unambiguous.
Timestamped, audited, priced transparently. Routine under 60 min. Emergencies under 30.
Platform Capabilities
Built for the India that exists — not the one that might exist in a decade.
Medical-domain AI generates structured draft reports from multi-series DICOM studies. 2D and volumetric work handled by purpose-tuned models.
LiveCredentialed radiologists matched to studies by modality, subspecialty, urgency, and real-time availability. Marketplace logic, not a contact list.
LiveSixty minutes for routine. Thirty for emergencies. Operational commitments backed by orchestration architecture, not aspirational targets.
LiveAll DICOM data stays within Indian Azure regions — Central India and South India. No cross-border transfer at any stage of the pipeline.
CompliantDiagnostic centres see pricing before they submit a study. No surprises. No opaque billing. Settlement built into the marketplace layer.
LiveEvery touchpoint logged. Every report timestamped. Every AI contribution explicitly marked as AI-generated and radiologist-reviewed.
CompliantWho This Is For
The clinical problem, the operational problem, and the infrastructure problem are the same problem — viewed from different seats.
Regulatory Architecture
Revenue-generating operations run now under the established teleradiology model. The AI-assist layer is deployed as decision-support — a classification that is currently defensible.
Formal SaMD licensing for the AI components is in process. We designed around it clearly, so the transition does not require rebuilding anything.
Work With Astraios
We are selectively onboarding diagnostic centres and radiologist networks for the next phase. If you are evaluating this seriously — not browsing, evaluating — talk to us.