
Leading Gateway to Ethically Governed, Custom, AI-ready Multimodal Medical Datasets
DataIH is India’s first ethically governed, custom, AI-ready, multimodal medical data powerhouse, a platform designed to democratize access to high-quality, diverse, and customizable medical datasets, enabling researchers and healthtech innovators to build transformative AI-driven healthcare solutions tailored to India’s unique clinical and demographic landscape.
DataIH delivers ethically sourced, expertly curated, and meticulously annotated datasets across multiple medical data modalities. Every dataset is developed through structured data pipelines and rigorous governance frameworks to ensure compliance with ICMR ethical guidelines and Indian data privacy regulations. Through strategic collaborations with hospitals, research institutions, and healthcare providers, we are building one of India’s most comprehensive ecosystems for AI-ready medical data development. By enabling access to scalable, custom, high-quality datasets, the platform accelerates the development of next-generation healthcare AI systems that improve diagnostics, enhance prognosis, and optimize treatment outcomes.
Bringing
India's Medical Data
to AI Frontier
Custom Dataset Development
Covering multiple modalities for aiding the development of state of the art AI based systems for diagnosis, prognosis and treatment.
Geographic and Demographic Representation
We prioritizes comprehensive representation across India’s diverse population mainly covering regional balance and demographic inclusivity
Multi-Faceted
Approach
Secure Annotation Standards and Quality Assurance
Our annotation framework includes multi-level expert validation and structured annotation protocols
Ethical Framework and Data Governance
Our process is grounded in a strong ethical framework and stringent data governance practices, adhering to ICMR guidelines and all relevant national regulations to ensure ethical and responsible data handling. Our governance approach ensures equitable access to datasets while maintaining full compliance with data protection laws and internationally recognized ethical standards.
Hassles We Tackle


Scarcity of High-Quality,
AI-Trainable, Annotated Custom Multimodal Medical Datasets






Geographic Disparity
Demographic Bias


Domain Blindspots
Regulatory and
Accessibility Gaps



