Clinical AI that standardises judgement - without replacing the clinician.
In healthcare, an "almost right" AI is worse than no AI. AiSPRY ships clinically validated, regulator-aligned models - embryo grading, medical imaging, drug forecasting, pharma compliance - explainable on every prediction, deployable at the edge, and trusted by ART clinics, hospitals, and regulated pharma manufacturing alike.
Healthcare is moving from physician intuition alone to AI-augmented standardisation.
The frontier isn't AI replacing doctors - it's AI removing the variability that shouldn't have been there in the first place. Embryo grading, radiology second-reads, drug demand forecasting, packaging-line counts - every one of these benefits from a model that always sees the same image the same way.
- Yesterday's clinical workflow
- 01Embryo grading by two embryologists with 20-30% inter-rater disagreement on borderline cases.
- 02Radiology second-reads either skipped or queued behind a 48-hour backlog.
- 03Manual inventory counts on packaging lines - error-prone, audit-exposed, slow.
- 04Drug procurement on flat reorder points - vital, essential, and desirable items treated identically.
- 05Patient queries triaged through call centres without access to clinical SOPs.
- Today's expectation
- 01Multi-stage CNN embryo grading aligned to Gardner / Istanbul scales - 90%+ agreement, every time.
- 02AI second-reads on imaging, with Grad-CAM explanations clinicians can sanity-check in seconds.
- 03Computer-vision counts on packaging lines, integrated with GMP / FDA audit trails.
- 04VED-segmented drug forecasting with risk-attitude reorder UIs - vitals never go out, desirables don't pile up.
- 05RAG-grounded clinical assistants citing hospital SOPs, ART Act provisions, and regulatory circulars.
Where AiSPRY plugs in across clinical & pharma workflows.
Each capability below is shipped - not pitched. Clinically validated, regulator-aligned, and deployable inside hospital networks.
Embryo grading & sperm assessment
Multi-stage CNN models for embryo grading aligned to Gardner / Istanbul scales, sperm quality assessment, and embryo implantation window prediction - explainable via Grad-CAM / LRP, deployable on incubator-side hardware.
VED forecasting & reorder UI
Vital-Essential-Desirable segmentation, ensemble forecasting per segment (data-driven + model-driven + DL + transformer-based), and a FastAPI + React reorder UI with risk-attitude controls. Built for multi-specialty reality.
Diagnostic AI second-reads
Cancer detection from histopathology, solar / lesion classification, segmentation pipelines using MONAI. Always shipped with explanation overlays - clinician sees what the model saw.
Vision-based packaging counts
Computer-vision systems for automated real-time inventory counting on packaging lines, with GMP / FDA-grade audit trail generation. Replaces error-prone manual counts.
RAG over hospital SOPs & circulars
Retrieval-grounded clinical assistants - answers cite hospital SOPs, ART Act provisions, ICMR circulars. No hallucinated treatment recommendations; explicit refusal when source is missing.
GenAI extraction from HMS & records
GenAI bots that extract patient details and clinical history from HMS, lab systems, and image archives via prompt - surfacing what the clinician needs without paper-shuffling.
Healthcare engagements that shipped - and got cleared.
Real clinics, real regulators, real audit cycles.
Explore every Healthcare & Life Sciences case study - challenge, solution, impact.
Clinical AI, vision-based compliance, and hospital-grade forecasting - built for regulators, embryologists, and pharmacy councils, not for demos.
We don't ship clinical AI we wouldn't trust ourselves.
- ✓
Clinician-validated training data
R&R-tested labels from senior clinicians - not crowd-sourced annotations. Garbha.ai's models were trained on 10,000+ embryologist-graded images.
- ✓
Explainable on every prediction
Grad-CAM / LRP / SHAP layered into outputs - clinicians see what the model saw, not just the score.
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Edge deployment for sensitive data
Patient images and EHR data never leave the hospital network. Cloud is opt-in, not default.
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Regulatory backbone
ISO 13485:2016, CDSCO Manufacturing License, ART Act, ISO/IEC 42001, DPDP - addressed in design, not patched in audit.
- ✓
Workflow-native, not bolt-on
Plugs into embryologist workflow, HMS, packaging-line PLCs - clinicians and operators don't change what they do, the AI fits the work.
If a regulator or a senior clinician can sign off, you can deploy.
Talk to AiSPRY about an embryo-grading rollout, a hospital VED forecasting deployment, or a packaging-line vision pilot. We bring the clinical-grade rigour, you bring the workflow.