Building AI4Bharat: Why India Needs Its Own AI Stack, With IIT Prof. Mitesh Khapra | Decoding AI Episode 8

It’s almost a consensus view that India can’t build its AI future on borrowed code. It needs infrastructure rooted in Indian languages, accents, and real-world use cases. At the heart of this mission is AI4Bharat, an open-source initiative building cutting-edge AI models for all 22 official Indian languages.

In this episode of Decoding AI, Prayank Swaroop, Partner at Accel, sits down with Professor Mitesh Khapra, one of the key architects of India’s Indic and open-source AI movement and co-lead of the AI4Bharat initiative at IIT Madras. A former researcher at IBM and now a faculty member at the Wadhwani School of Data Science and AI, IIT Madras, Mitesh has been instrumental in laying the groundwork for India’s AI stack.

The conversation traces the journey of AI4Bharat, from early experiments mapping real-world problems to a focused effort on building foundational language technologies that power applications across sectors. Mitesh shares how the team is bridging data gaps, enabling synthetic data generation, and competing with global benchmarks, all while staying open-source.

This episode unpacks why India needs its own AI infrastructure, what makes AI for Bharat technically and culturally distinct, and how startups and developers can plug into this growing ecosystem to build truly inclusive AI solutions.