India's National Platform for Evidence-Based Validation & Benchmarking of Health AI

A coordinated, transparent system to evaluate and certify health AI models in India.

India's healthcare diversity demands context-specific AI validation. With varying languages, disease patterns, and care delivery models across states, national coordination ensures AI tools are tested for local relevance, clinical accuracy, and equitable performance before deployment. PrAImaan — from pramaan, meaning “proof” — builds a trusted national framework for transparent, participatory, and evidence-based evaluation.

PrAImaan transforms model testing into a living feedback loop linking developers, clinicians, and regulators.

PRAIMAAN'S MISSION

Ensuring that every health AI model in India is safe, equitable, and contextually relevant through transparent, participatory evaluation.

PrAImaan’s six core objectives establish a trusted system for health AI in India — one that scientifically validates models, ensures contextual adaptation, embeds ethical governance, and drives continuous real‑world improvement.

Governance Framework

Establish a nationally coordinated yet state-inclusive authority to oversee health-AI validation across India.

Evaluation Standards

Define technical, ethical, and contextual benchmarks across languages, specialties, and care levels.

AI Landscape Mapping

Continuously map emerging AI models, datasets, and infrastructure to guide national planning and oversight.

Technical Facilitation Unit

Operate the MOOVE platform for secure model submission, automated testing, and expert review.

Benchmarking (valiDATAthons)

Conduct multilingual, clinician-led benchmarking campaigns (valiDATAthons) to assess safety and relevance.

Real-World Implementation

Enable clinical pilots and continuous monitoring to ensure safe, evidence-based AI deployment.

OFFICIAL PARTNERS

Founding Institutions

ICMR-NIDHR

Policy & Governance Anchor

Ashoka University

Coordination Partner

LiGHT Lab at EPFL

Technical Facilitation Partner