Ethera Global curates and licenses the most comprehensive de-identified Indian healthcare dataset — spanning clinical claims, laboratory diagnostics, and population health — purpose-built for AI and machine learning at scale. Our dataset is continuously growing — updated with new claims and laboratory records every month.
Ethera Global was founded by some of India's leading technology entrepreneurs, bringing together deep expertise in healthcare systems, medical data infrastructure, and advanced AI and machine learning.
Our founders have built some of the most widely deployed health-tech platforms in India and the Middle East — and have spent years developing state-of-the-art generative AI and large language models trained on clinical and diagnostic data.
Ethera is predominantly a data company. We don't just aggregate — we structure, de-identify, and contextualise India's richest health dataset, making it ready for enterprise consumption and model training at a global standard.
Complete clinical claims lifecycle: prior authorization, in-process adjudication, and final discharge settlement. Includes structured claim forms, clinical narratives, and diagnosis codes.
10M+ claimsFull admission-to-discharge records covering triage, clinical notes, procedure logs, discharge summaries, medication histories, and outcome data — one of the few complete inpatient pipelines in India.
Multi-year longitudinalThe largest Indian lab dataset — over 200 million diagnostic reports spanning biochemistry, haematology, microbiology, imaging interpretation, and speciality panels from 700+ diagnostic labs and chains.
200M+ lab recordsStructured ontological overlays linking diagnoses, procedures, drugs, and lab markers — enabling context-aware querying and RAG-ready retrieval for LLM grounding.
Graph-structuredConsume via structured API, periodic data lake delivery, or custom knowledge graph integration. Designed for seamless ingestion into model training pipelines and evaluation frameworks.
REST API · Batch · StreamAll data is anonymised using our proprietary de-identification pipeline, developed to clinical-grade standards. Privacy and regulatory compliance is embedded at every stage of data processing.
Clinical-grade PII removalGround your health models in authentic Indian clinical context. Improve prompt reliability, reduce hallucination, and expand into the world's largest health underserved market.
Contextualise device signals against real-world clinical benchmarks. Build population-calibrated models that reflect Indian physiology and disease burden.
Accelerate real-world evidence generation, patient cohort identification, and drug utilisation studies with India's most structured clinical dataset.
Underwrite with precision using longitudinal claims and diagnostic data. Build risk models calibrated to Indian population health patterns and comorbidity profiles.
Global health AI models are overwhelmingly trained on Western cohorts. Indian disease profiles, comorbidities, and drug metabolism differ significantly — and current models fail to reflect this.
South Asian populations carry distinct risk profiles for metabolic syndrome, cardiovascular disease, and diabetes — patterns that require locally-grounded training data to model accurately.
India is scaling digital health infrastructure rapidly. Enterprises that train on Indian data today will have a decisive advantage as this market reaches global scale within this decade.
Our dataset spans urban hospitals, tier-2 clinics, and pan-India diagnostic chains — producing a diversity of clinical pathways that monolithic Western datasets simply cannot replicate.
A curated, de-identified sample — structured across claims and lab modalities — for benchmarking your model's performance on Indian health data. Ready to ingest into your evaluation pipeline.
Programmatic access to our continuously refreshed dataset via a clean REST API. Query by condition, specialty, geography, or lab marker — on-demand, at scale, with versioned schema.
A fully structured context graph linking clinical entities, diagnostic markers, and outcomes — designed for RAG pipelines, LLM grounding, and high-precision retrieval at inference time.
Ethera Global's founding team brings together proven operators who have built and scaled healthcare technology platforms serving thousands of hospitals and millions of patients across India, the Middle East, and Southeast Asia. Our technical team has hands-on experience developing foundation models, generative AI systems, and clinical NLP — applied to real-world health data at enterprise scale.
For dataset access, partnerships, and enterprise enquiries