Indian AI firm Sarvam has signed a memorandum of understanding with Headquarters Integrated Defence Staff, under India’s Defence Ministry, to build AI applications for the Army, Navy and Air Force, Sarvam said on October 27. Under the agreement, Sarvam will design, develop and deploy AI applications for operational, training and decision-support work, with human oversight retained on operational decisions. The three services will share the same foundation models, agentic infrastructure and geospatial and perception systems, with focus areas including decision support, target acquisition and data fusion across the sensor-to-shooter loop. The work will be done by Chanakya, Sarvam’s firewalled national-security division, using its AI stack including the Sarvam 105B foundation model.

What The Pact Covers
The framework extends beyond the three services to the joint, tri-service and integrated organisations under Headquarters Integrated Defence Staff, Sarvam said, with HQ IDS facilitating the engagement across several projects. Sarvam will also provide follow-on technical support for the applications it builds. Doctrine and lessons learnt from one service’s projects can then feed the next, since all three services gain access to the same models and systems.
Headquarters Integrated Defence Staff announced the pact itself on October 26, calling it a significant step towards strengthening sovereign AI capabilities for India’s defence forces, with emphasis on data sovereignty and responsible AI-based solutions.
https://x.com/HQ_IDS_India/status/2114755581231948299
HQ IDS framed the partnership as building secure, sovereign and scalable AI capabilities, covering AI applications, research, knowledge management, training and decision-support, with strong emphasis on data sovereignty and responsible AI-based solutions.
Sovereign AI, Built In India
The agreement is a step in the government’s drive towards Atmanirbharta in defence and the indigenisation of defence equipment and capability, Sarvam said, an imperative that now extends to artificial intelligence, which it describes as becoming as consequential to military capability as the platforms it runs on. The AI layer will be built in India and deployed on sovereign infrastructure.
“Sarvam exists to build AI in India, for India. To work with the three Services on the nation’s defence is an honour and a privilege. We are grateful to HQ IDS for its trust,” said Pratyush Kumar, co-founder of Sarvam. The work sits with Chanakya, the company’s firewalled division focused on national security and defence, rather than its commercial business.
Why It Matters
The pact matters because it puts a single domestic AI stack across all three of India’s armed services at once, instead of letting each service buy separately. Shared foundation models, agentic infrastructure and perception systems mean a lesson learnt in one service’s project can carry directly into the next, and the sensor-to-shooter focus areas put the technology close to operational decisions, where the retained human oversight becomes the key safeguard.
The deal also shows how governments are moving from AI policy to AI procurement for defence. Japan has set up a government team to run AI cyberattack simulations against its own systems, and China has proposed controls on exports of AI technologies including model weights. India’s version of the same shift is a partnership: buy the AI layer at home, keep it on sovereign infrastructure, and keep a human on operational decisions.
Background
Headquarters Integrated Defence Staff coordinates India’s three armed services and the joint organisations that sit across them, and Sarvam is an Indian AI firm whose Chanakya division works on national security and defence. The pact was announced on October 26 by HQ IDS and reported by Sarvam on October 27. The pact follows India’s wider push for self-reliance in defence capability, extending an indigenisation drive that began with equipment into the AI systems that increasingly sit behind it.
Source: Sarvam defence pact report; HQ IDS announcement post

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