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Two Government-Backed Startups Release Sovereign AI Models that Can Run in Airgapped Environment

The models are built for multilingual, offline use and secure deployment, with ZenteiQ releasing weights under Apache 2.0 through AIKosh.

  • On Tuesday, the Ministry of Electronics and Information Technology unveiled three indigenous AI foundation models—EKA-1, Dhir 2B, and Dhir 5B—developed by domestic companies to strengthen India's technological autonomy.
  • The IndiaAI Mission supported these developments to foster homegrown innovation, aiming to reduce reliance on foreign technology while public infrastructure accelerated the models' creation.
  • Soket Labs Technology developed EKA-1, trained on 7.5 trillion tokens and covering all 22 scheduled Indian languages, while ZenteiQ AiTech Innovations created Dhir 2B and Dhir 5B for offline-capable automation.
  • Operating in air-gapped environments, the models enable enterprise-based artificial intelligence deployment that officials noted "thus far hasn't really taken off" in the country.
  • Platforms like AIKosh will distribute these models to researchers and students, as the government continues supporting refinement of homegrown technologies for broader adoption.
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Times of India broke the news in India on Tuesday, November 3, 2026.
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