India unveils BharatGen, a multilingual AI model

India Builds BharatGen: AI That Thinks in 22 Indian Languages

Soumya Verma
2 Min Read

SUMMARY:

  • India unveils its first indigenous Large Language Model (LLM)
  • Supports 22 Indian languages with multimodal capabilities
  • Developed by IIT Bombay under NM-ICPS
  • Aims to transform sectors like healthcare, education, and governance

A Homegrown AI Model for a Diverse Nation

In a landmark move, the Government of India has launched BharatGen, the country’s first indigenous AI-based Large Language Model (LLM) built to serve its multilingual population. The launch was officiated by Union Minister Dr. Jitendra Singh on June 2, 2025, marking a pivotal step in India’s mission to create inclusive, culturally rooted, and ethically sound AI technologies.

BharatGen is a collaborative effort led by IIT Bombay through its Technology Innovation Hub (TIH) under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS), supported by the Department of Science and Technology (DST).

Multimodal AI for Real-World Impact

What sets BharatGen apart is its multimodal capability—processing and generating content across text, speech, and images—in 22 Indian languages. This feature makes it accessible to millions who are typically left behind by English-dominated digital platforms.

The model is already being positioned for immediate use in critical public domains:

  • Healthcare: Local language AI for telemedicine and diagnostics
  • Education: NEP-aligned tools for regional language learning
  • Agriculture: Real-time decision support in farmers’ native tongues
  • E-Governance: Enhanced citizen feedback systems in CPGRAMS

This is not just about technology—it’s about building a digital infrastructure that speaks to every Indian, in their language and context.

Catalyzing Indigenous Innovation

BharatGen also opens doors for Indian startups and developers, who can now build AI solutions on top of this foundation. From rural voice assistants to smart crop advisory bots and localized chat services, the opportunities are vast and culturally resonant.

Moreover, it plays a role in preserving India’s linguistic diversity, a significant challenge in the age of global AI tools trained predominantly on English content. By rooting AI in Indian values, languages, and societal contexts, BharatGen sets the tone for ethical and sovereign AI development.

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