Clinical Intelligence Network & Live Sandbox for Healthcare AI

Healthcare AI Validation: Real-World Clinical Validation & Benchmarking

Your Healthcare AI Model Needs Real Clinical Feedback,
We Built the Infrastructure for That.

Garbha Labs deploys your healthcare AI inside real Indian hospital workflows — in shadow mode, alongside the doctors using your tool. You get real-world performance data before you ship, without moving a single patient record.

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Live
Real hospital workflows, not synthetic environments.
Private
Patient records never leave the hospital.
Aligned
ABDM and DPDP compliant by design.
Structured
Regulatory-ready performance reports.
Why Diagnostic AI Isn't Mature Enough

Your model is ready.
Your clinical validation isn't.

Common Blockers
Expert Access Takes Months
Validation Data is Hard to Get Right
Hospital Pilots Are a Black Hole

Healthcare AI teams spend years building powerful models — then hit a wall when it's time to validate them in the real world. Getting doctors to review outputs, sourcing compliant medical datasets, running structured benchmarks, and accessing hospital environments for live pilots: none of this existed in a single place...

Until Garbha Labs.

Built for teams that can't afford to get validation wrong.

Privacy-First Architecture
No patient data ever leaves partner hospital systems. Full HIPAA and DPDP compliance by design.
Hospital-Native Deployment
Your model runs in real clinical workflows alongside the hospital's own doctors. No external review panel, no synthetic environment, no toy data.
Regulatory-Ready Output
Validation reports structured for FDA 510(k), CE marking, and hospital procurement requirements.

Shadow-mode deployment,
without the data movement.

We deploy your AI inside real Indian hospitals in shadow mode — running alongside the doctors who would use it. You get the real-world performance signal that hospital procurement and regulators actually ask for.

Garbha Live Sandbox

Shadow-Mode Hospital Testing

Your AI runs inside real hospitals. The doctors using it work normally. You get structured, regulatory-ready performance data.

We deploy your model into a partner hospital's clinical workflow in shadow mode — it sees the same cases the hospital's own doctors see, in real time, but never affects care. Patient records never leave the hospital; only structured outputs do.

Live shadow deployment inside partner hospital workflows
Per-case structured scoring against the treating physician
Real-world performance benchmarking, not synthetic
Workflow friction and UX feedback from real users
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Garbha Live Sandbox

Garbha Live Sandbox in Action

Patient Chart
AI Validation
AI Developer
Dataset Export
Shadow Mode — Complete Flow · Case GRB-2026-0047 2:39
01
Patient Chart
0:00
02
AI Validation
1:05
03
AI Developer
1:55
04
Dataset Export
2:17
Individual Portals
0:50
Patient Records
Triage list with severity filters, search, and one-click chart access for admitted patients.
1:45
Patient Chart & AI Shadow
Doctor documents diagnosis, labs, and meds. AI shadow model reveals its parallel predictions on finalize.
1:30
Peer Review Workflow
When the treating physician and the shadow AI disagree, the case is queued for structured review — building a labelled signal of real-world model errors.
1:30
AI Developer Portal
Model performance dashboard, 3-way case comparison (doctor vs AI vs peers), version history, and NDJSON export.
1:21
Validation Dataset
Browse, filter, and annotate the curated training dataset. Quality check queue and one-click export for model retraining.
Ready to Validate?

Get clinical feedback on your model this month.

Tell us what you're building and we'll walk you through exactly how Garbha Labs can help — whether it's an annotation project, a benchmarking study, or a hospital pilot.

We respond within 12 hours
No spam, no sales automation
A real person from our team will reach out
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Not ready to book a time? Just send your details and we'll reach out.

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