India has taken a significant step towards strengthening its artificial intelligence ecosystem by unveiling three sovereign AI models designed and governed within the country.
Announced at the India AI Impact Summit in New Delhi, the initiatives reflect a broader policy effort to encourage domestic innovation, build computing infrastructure, and support AI applications suited to India’s linguistic and institutional requirements.
The launch forms part of the IndiaAI Mission, approved in March 2024 with an initial allocation of ₹10,000 crore.
The programme aims to develop foundational AI models, expand access to high performance computing, and promote public interest AI solutions.
During late 2024 and early 2025, the initiative accelerated through GPU subsidy schemes and compute support for startups.
More than ₹100 crore has already been distributed to companies building advanced AI capabilities, signalling a coordinated effort to reduce dependence on foreign AI systems.
Bengaluru based Sarvam AI announced two large language models built entirely within India a 30 billion parameter model and a larger 105 billion parameter version.
Both models were trained domestically and designed for complex reasoning, programming tasks, and agent based AI applications.
The company adopted a mixture of experts architecture aimed at lowering inference costs while maintaining performance. Efficiency and scalability have been positioned as key considerations to enable wider adoption across large user populations.
Conversational AI company Gnani.ai introduced Vachana TTS, a text to speech system capable of replicating human voices across 12 Indian languages using less than ten seconds of reference audio.
The model retains vocal attributes such as tone and speaking style while enabling multilingual output from a single voice profile.
Built to operate under low bandwidth conditions, the system is intended for government services, enterprise communication platforms, and customer support environments. All data processing and hosting remain within India.
The IIT Bombay led BharatGen consortium presented Param2 17B MoE, a 17 billion parameter multilingual foundational model focused on Indic language capabilities.
The model is designed to support applications across governance, healthcare, education, agriculture, and enterprise services.
BharatGen plans to release the model as open source along with training workflows and documentation via its Hugging Face repository.
This approach aims to allow developers, startups, and organisations to customise and deploy AI solutions aligned with local needs. The initiative has received approximately ₹900 crore in funding under the IndiaAI Mission.
Together, the three launches highlight a coordinated strategy to establish domestic AI infrastructure and locally governed models. By focusing on multilingual support, cost efficiency, and sovereign data management, the initiatives seek to address challenges unique to India’s scale and diversity while encouraging participation from startups, academia, and industry.
Read More: VoicERA on BHASHINI: Govt Services Helpline Will Now Speak in Your Language!
As development continues, the long term impact will depend on adoption, ecosystem collaboration, and sustained investment in research and infrastructure.
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Published on: Feb 19, 2026, 11:21 AM IST
Neha Dubey
Neha Dubey is a Content Analyst with 3 years of experience in financial journalism, having written for a leading newswire agency and multiple newspapers. At Angel One, she creates daily content on finance and the economy. Neha holds a degree in Economics and a Master’s in Journalism.
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