India is rapidly emerging as a global hub for technological innovation, and artificial intelligence stands at the forefront of this revolution. However, as the nation looks to solidify its position, a critical call to action has been voiced by Manish Gupta from Google DeepMind: India needs more homegrown AI startups that are not just adopting existing technologies, but building foundational models from the ground up. This shift, exemplified by companies like Sarvam AI and Emergent, is crucial for India to truly harness its immense potential in the AI landscape.

Gupta’s insights highlight a significant opportunity for India to move beyond being merely a consumer or service provider in the AI domain. While India boasts an impressive talent pool in AI and machine learning, a gap exists in the number of “full-stack” AI companies dedicated to creating proprietary, fundamental AI models. These are the companies that will drive the next wave of innovation, offering solutions uniquely tailored to India’s diverse needs and potentially for the global market.

Sarvam AI perfectly embodies this vision by focusing on building Large Language Models (LLMs) specifically designed for India. Recognising the linguistic and cultural diversity of the nation, Sarvam AI aims to develop LLMs that can effectively process and understand local languages and context, bridging critical communication gaps and unlocking new possibilities for digital inclusion. This approach goes beyond simply fine-tuning generic models; it’s about engineering AI for the unique Indian ecosystem from its core.

Similarly, Emergent is paving the way for enterprise-grade AI solutions. By building LLMs with a strong emphasis on data privacy and customisation, Emergent addresses the complex needs of businesses looking to integrate advanced AI while ensuring security and compliance. Both Sarvam AI and Emergent represent a strategic move towards creating “data moats”—proprietary datasets and models that give them a distinct competitive advantage and foster deep, context-aware AI capabilities. Their work demonstrates a commitment to foundational research and development that is vital for long-term AI leadership.

India is uniquely positioned to foster such innovation. With its vast, digitally active population, rich linguistic diversity, and rapidly expanding digital public infrastructure (like UPI and Aadhaar), the country possesses an unparalleled wealth of data. To fully capitalise on this, however, a robust supportive ecosystem is indispensable. This includes accessible funding, mentorship, access to high-performance computing resources, and policies that encourage talent retention and innovation. By nurturing these elements, India can empower more startups to follow the path carved by Sarvam AI and Emergent.

The journey ahead for India in AI is exciting and holds immense promise. By fostering an environment where more AI startups are encouraged to build foundational technologies and address specific Indian challenges, the nation can not only solve its own pressing issues but also emerge as a global leader in responsible, inclusive, and cutting-edge artificial intelligence. The call from Manish Gupta is clear: invest in our ingenuity, build from the ground up, and unlock India’s true AI potential.