India Bets on Homegrown AI to Power Healthcare Breakthroughs

These efforts will be supported by IndiaAI’s compute infrastructure, GPU clusters, and Data & AI Labs.

India has launched eight foundational artificial intelligence (AI) projects under the IndiaAI Mission, placing healthcare at the heart of the effort.

The Ministry of Electronics and Information Technology (MeitY) unveiled the initiative at the IndiaAI Impact Summit in New Delhi, describing it as a step towards building “safe and trusted AI” tailored to India’s needs.

According to the official release, two projects stand out for their direct medical relevance. Fractal Analytics will build a large reasoning model of up to 70 billion parameters designed to handle complex scientific and medical problem-solving.

The reports noted that the model aims to “help address complex problems across medical and scientific fields,” laying the groundwork for advanced diagnostic support and clinical decision-making.

Another healthcare-specific project comes from IntelliHealth, which is developing a 20-billion-parameter model focused on electroencephalogram (EEG) signal analysis.

The goal is to enable early screening of neurological disorders and accelerate research into brain–computer interfaces. The reports called it “a specialized model in the healthcare domain with significant potential for early detection and clinical research.”

Healthcare applications also cut across other projects in the lineup. Avatar AI, a multimodal initiative with models of up to 70 billion parameters, is targeting domains that include healthcare, agriculture, and governance.

BharatGen, led by IIT Bombay, will train multilingual and multimodal models ranging from two billion to one trillion parameters, with use cases spanning health, finance, education, and law.

GenLoop’s smaller models, covering all 22 scheduled Indian languages, are expected to play a role in patient communication and health literacy by enabling seamless interaction in local languages.

The government stated that these efforts will be supported by IndiaAI’s compute infrastructure, GPU clusters, and Data & AI Labs.

The reports emphasised that the goal is to create indigenously trained models that directly serve India’s population. “These foundational models will be indigenously developed to address India’s unique needs across critical sectors,” the release stated.

Although the announcement did not detail funding for individual projects, the Union Cabinet has already approved ₹10,371.92 crore for the IndiaAI Mission.

This allocation covers model training, compute access, and supporting programmes in safety, research, and talent development.

By focusing on clinical reasoning and neurological diagnostics, the government is positioning AI as a tool to support frontline care, expand access to expertise, and improve communication between providers and patients.

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