Journalism begins where hype ends

,,

If you can't explain it to a six year old, you don't understand it yourself."

—Albert Einstein

India Backs 20 Indigenous AI Models, Approves 58 Centres of Excellence: IT Ministry

The Indian government currently supports 20 indigenous AI models, 12 LLMs and 8 SLMs and has approved 58 AI Centres of Excellence across states and union territories, MoS for Electronics and IT Jitin Prasada informed the Rajya Sabha on July 24.
Digital illustration of India's map with glowing data points and the IndiaAI logo, representing the IndiaAI Mission
July 25, 2026 02:30 PM IST | Written by Supriya Singh | Edited by Vaibhav Jha

The Indian government currently supports 20 indigenous AI models and has approved establishing 58 artificial intelligence (AI) Centers of Excellence across India, as per a written response by the Information Technology Ministry.

According to a response given by Jitin Prasada, Minister of State (MoS) for Electronics and IT in the Rajya Sabha (Upper House), the Indian government currently supports 20 indigenous sovereign models comprising 12 Large Language Models (LLMs) and 8 SLMs.

Among the 20 AI models, the noticeable ones are Sarvam AI, Gnani. AI, BharatGen and Avataar AI, while domain-specific SLMs include specialized models and AI frameworks addressing healthcare, language technologies and agentic AI systems.

MoS Prasada also informed that the Indian government has established 27 ‘India Data and AI Labs’ and also approved plans for establishing 58 AI Centers of Excellence, across states and union territories of India.

“The Indian government focuses on promoting applied AI research, innovation, and deployment for public safety, security, and citizen-centric governance, with applications across key sectors including healthcare, agriculture, education, urban management, and disaster resilience,” said Prasada in his reply to the Upper House on July 24.

Regarding the risks associated with AI models, Minister Prasad informed that the Indian government has identified 13 responsible AI projects covering bias mitigation, explainability, privacy-preserving AI, algorithm auditing, deepfake detection, AI forensics, risk assessment and generative AI security.

The projects include Saakshya, a multi-agent framework for deepfake detection, and AI Vishleshak, an audio-visual forgery detection system.

Also Read: Exclusive: 14 Indian-Educated Researchers Crack ICML 2026’s Elite Orals- Top 0.7% of World AI Research

Authors

  • AI FrontPage Reporter Supriya Singh

    Supriya Singh is a Reporter at AI FrontPage covering the AI & Education and AI & Jobs beats. She brings six years of print and digital experience, including three years at The Asian Age, where she reported on higher education, Delhi government, and crime. She is based in Delhi-NCR.

    LinkedIn

  • Vaibhav Jha, editor and co-founder at AI FrontPage

    Vaibhav Jha is an Editor and Co-founder of AI FrontPage. In his decade long career in journalism, Vaibhav has reported for publications including The Indian Express, Hindustan Times, and The New York Times, covering the intersection of technology, policy, and society. Outside work, he’s usually trying to persuade people to watch Anurag Kashyap films.

    LinkedIn