A silent revolution is brewing in the heart of India’s tech landscape as the nation sets its sights on artificial intelligence as a pillar of future innovation. Under the grand ₹10,000 crore IndiaAI Mission, the Ministry of Electronics and Information Technology (MeitY) has handpicked four visionary startups poised to redefine the AI narrative for the country.
Among the chosen few are Soket AI Labs, Sarvam AI, gnani.ai, and Gan.AI, each tasked with crafting the foundations of homegrown, large-scale AI models tailored for India’s unique linguistic and cultural diversity.
Soket AI Labs, steered by the visionary Abhishek Upperwal, is breaking ground with the ambitious EKA Project, a colossal 120-billion parameter open-source Indic language model trained on 2 trillion tokens. “Ours is a 12-month proposal, but we are looking to have multiple small models in the next six months,” shared Upperwal, reflecting a timeline both bold and achievable.
In a parallel pursuit, gnani.ai, founded by Ganesh Gopalan and Ananth Nagaraj, is breathing life into speech-to-speech AI models focused on India’s myriad local languages. Their work promises a future where communication flows seamlessly across linguistic boundaries.
Meanwhile, Sarvam AI is crafting a 70-billion parameter multimodal model, designed to understand and respond in both English and Indian languages. In place of direct funding, Sarvam AI will be granted ₹200 crore worth of GPU compute power, signaling the government’s commitment to backing AI infrastructure in a transformative way.
As anticipation builds, a formal announcement from Union Minister Ashwini Vaishnaw is expected to arrive soon. His words still echo across the digital corridors of the country: “Very soon we will have our own LLM.” And now, that vision seems closer than ever.
With this initiative, India isn’t merely building AI, it is shaping the very soul of its digital future. These startups are not just creating models; they are scripting a new chapter in technological independence, one where Indian languages, contexts, and voices take center stage in global AI conversations.
From speech to semantics, from code to culture, the race to shape India’s GenAI frontier has truly begun.
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