Concerns over access restrictions to advanced AI models have intensified calls for India to build indigenous AI infrastructure, with the government backing 12 projects under the IndiaAI Mission to strengthen domestic innovation and reduce reliance on overseas providers.
India's efforts to establish a self-reliant artificial intelligence ecosystem have gained fresh urgency amid growing global discussions around access to advanced AI models and the influence governments can exert over their deployment and availability.
Recent restrictions imposed on certain frontier AI systems have reignited conversations around "Sovereign AI" — the concept of nations developing their own AI capabilities, infrastructure and research ecosystems to ensure long-term technological independence. Industry experts argue that the developments have highlighted the risks of depending heavily on foreign AI providers for critical technologies.
The debate comes at a time when AI is increasingly being viewed as strategic infrastructure, similar to energy, telecommunications and semiconductors. As concerns grow over who controls access to advanced models, policymakers and technology leaders are placing greater emphasis on developing domestic capabilities that can support national priorities and ensure uninterrupted access to AI tools.
IndiaAI Mission backs 12 indigenous AI initiatives
In line with this vision, the government has shortlisted 12 projects under the ₹10,371.92-crore IndiaAI Mission, a flagship programme designed to strengthen India's AI ecosystem through investments in computing resources, model development and research.
The selected projects span a wide range of AI technologies, including large language models, voice-first AI platforms and multimodal systems capable of processing text, images and video. The initiative aims to provide Indian enterprises, researchers and public institutions with access to locally developed AI solutions tailored to the country's linguistic and operational requirements.
Among the approved proposals, the IIT Bombay-led BharatGen consortium has emerged as one of the most significant beneficiaries, receiving support worth ₹1,058.52 crore to develop open-weight multilingual and multimodal AI models. The project is expected to play a key role in creating foundational AI technologies designed specifically for India's diverse linguistic landscape.
Sarvam AI secured the largest compute allocation among private-sector participants, receiving support worth ₹246.72 crore. Other notable beneficiaries include Gnani AI, which has been tasked with developing voice-native AI models and received ₹177.27 crore in compute support, and Soket AI Labs, which secured ₹177.08 crore.
Focus expands beyond models to infrastructure ownership
The government-backed portfolio also includes projects from Gan AI, Avataar AI, Fractal Analytics, Tech Mahindra Maker's Lab, Zenteq, GenLoop Intelligence, Intellihealth and Shodh AI. Together, these initiatives represent a broad effort to strengthen India's AI value chain across enterprise applications, healthcare, conversational AI and advanced research.
Industry observers note that the focus of the AI conversation is gradually shifting from data sovereignty alone to ownership of the underlying infrastructure, computing capacity and foundational models that power AI systems. The IndiaAI Mission is expected to play a central role in helping India establish long-term technological resilience while positioning the country as a significant contributor to the global AI ecosystem.
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