July 27, 2026 at 10:17 AM 2 min readai

IndiaAI Mission Expands Infrastructure With 27 New Labs Across 21 States

The government has identified 20 indigenous AI model proposals for support, including foundation models from Sarvam AI and BharatGen.

[Infrastructure Expansion]:

The IndiaAI Mission has significantly scaled its operational footprint by establishing 27 dedicated data and AI labs across 21 states and Union Territories. This initiative serves as a cornerstone for the national strategy to democratize artificial intelligence access, with an ambitious roadmap to deploy an additional 188 labs specifically within Industrial Training Institutes and Polytechnics. The program has already seen 5,544 enrollments in specialized training modules, with 1,249 participants successfully achieving certification to date.

[Indigenous Innovation]:

Beyond physical infrastructure, the government has officially identified 20 indigenous AI model proposals for strategic support. These include a diverse mix of 12 large language models and eight small language models designed to address local linguistic and functional requirements. Notable proposals currently under evaluation include foundation models from Sarvam AI, speech-to-speech capabilities from Gnani.ai, multilingual frameworks from BharatGen, and advanced video generation technology from Avataar AI.

[Strategic Objectives]:

The mission is fundamentally structured to catalyze economic growth and job creation while ensuring the safe, ethical, and responsible adoption of AI technologies nationwide. By fostering a domestic ecosystem, the government aims to reduce reliance on foreign platforms and build a sovereign AI stack. This multi-pronged approach seeks to integrate advanced computational skills into the workforce, positioning India as a global hub for AI development and deployment by the end of the decade.
Pulse Intelligence
Context & Impact
  • The IndiaAI Mission was launched to create a comprehensive ecosystem for artificial intelligence development.
  • The government previously identified the need for sovereign AI models to cater to India's linguistic diversity.
  • Existing ITIs and Polytechnics were selected as primary sites to ensure widespread technical skill dissemination.
  • Increased availability of certified AI professionals will likely address the growing talent gap in the domestic tech sector.
  • Support for indigenous models will accelerate the development of AI solutions tailored to Indian languages and cultural contexts.
  • The expansion into ITIs will democratize access to high-end computing resources for students outside major metropolitan hubs.

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