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India Unveils 12 Indigenous AI Models Under IndiaAI Mission
India showcases 12 homegrown foundation models developed by startups including Sarvam AI, Gnani AI, BharatGen at AI Summit, trained on vast Indian datasets and 22 official languages.

India showcases 12 homegrown foundation models developed by startups including Sarvam AI, Gnani AI, BharatGen at AI Summit, trained on vast Indian datasets and 22 official languages.
Under the IndiaAI Mission, India is unveiling 12 indigenous foundation models developed by homegrown startups and consortia, trained on vast Indian datasets and tailored to the nation’s 22 official languages. The models will be showcased at the AI Impact Expo 2026.
The 12 startups selected include Sarvam AI, Gnani AI, BharatGen (IIT Bombay), Fractal Analytics, Tech Mahindra Maker’s Lab, and others. These companies are working on large language models (LLMs) and multimodal systems designed to address local linguistic, sectoral, and governance requirements.
Sarvam AI is developing large language models tailored for Indian languages and contexts, with work spanning multilingual reasoning, voice-based applications, and productivity tools for enterprises and public services.
Fractal Analytics is building what it describes as India’s first large reasoning model, focusing on structured reasoning and domain expertise in science, technology, engineering, and mathematics, with applications in medical diagnostics and analytics.
Tech Mahindra’s Maker’s Lab is developing a foundation model optimized for Indic languages and dialects, alongside an agentic AI platform for government and enterprise use, aiming to support translation, administrative automation, and e-governance workflows.
The initiative reflects India’s strategy to build sovereign AI capabilities rather than depending entirely on foreign technology, ensuring models understand local contexts, languages, and cultural nuances essential for serving India’s diverse population.







