Is Language Diversity the Key to Smarter AI in Governance?

Shaping AI That Understands a Nation’s Voice

Most global AI models are built around dominant languages, often overlooking communities that don’t speak them. BharatGen, India’s first government-backed multimodal Large Language Model (LLM), flips this norm. Developed by a national consortium of IITs and research institutes, it’s designed to process text, speech, and images in 22 Indian languages—bringing AI closer to the people it’s meant to serve.

More than just a technical achievement, BharatGen represents a shift in how governments think about inclusive AI. By training on India-specific data through its Bharat Data Sagar initiative, the model reflects local contexts, accents, and values—making it a tool that speaks both literally and culturally to its users.

Built to Work Where It’s Needed Most

Instead of expecting citizens to adapt to technology, BharatGen adapts to them. Its multilingual and multimodal design allows it to interact with users through speech and visuals, making it accessible even to those with low literacy. From tribal classrooms to rural clinics, it can power voice-driven education and healthcare tools. What sets it apart is not only its tech—but its grounding in public service and ethical design.

Building AI That Works Where the Internet Doesn’t

BharatGen’s real-world applications are already shaping solutions for underserved regions. It can deliver farming advice in regional dialects, help process multilingual citizen feedback in government offices, and support startups building local-language apps—all without needing Silicon Valley infrastructure. With a roadmap focused on ethical standards and public utility, it’s positioning India to lead in people-first AI.