NeevCloud Partners with Agnikul Cosmos to Launch India’s First Indigenous AI Data Centre in Space

Launching India’s Sovereign AI Compute Network in Orbit Before the End of 2026

Reimagining sovereign AI infrastructure with scalable, low-latency compute in low Earth orbit

NeevCloud, an Indian sovereign AI cloud infrastructure company under RackBank Datacenters Private Limited, an Indian data centre service provider, announced the signing of a Memorandum of Understanding (MoU) with Agnikul Cosmos Private Limited, a pioneering Chennai-based space technology company. The partnership aims to deliver India’s first indigenous, AI-powered Data Centre in Space, redefining how scalable and sovereign AI compute infrastructure is built and delivered.

With NeevCloud’s deep tech expertise and sovereign AI architecture combined with Agnikul’s orbital launch capabilities, the alliance aims to bridge the global AI access gap. The initiative will place high-performance AI inference nodes directly into Low Earth Orbit (LEO), enabling secure, low-latency intelligence for billions of users and critical industries worldwide.

The End of the Global AI Latency Gap

Currently, over 80% of the world’s population lives more than 200 milliseconds away from the nearest AI data center, rendering real-time applications like autonomous driving, drone and border surveillance, remote robotic surgery, and industrial automation unreliable in vast regions of the Global South.

“We are not just building a data center in space, we are building an entirely new layer of orbital inferencing infrastructure. To truly democratize AI, we must decouple it from terrestrial limitations.” — Narendra Sen, Founder & CEO of NeevCloud

“We are not just building a data center in space, we are building an entirely new layer of orbital inferencing infrastructure,” said Narendra Sen, Founder & CEO of NeevCloud. “To truly democratize AI, we must decouple it from terrestrial limitations. By partnering with Agnikul, we are taking our AI SuperCloud to the ultimate orbit edge – Space. This partnership ensures access to the AI infrastructure that powers the next decade of global intelligence, low-latency AI not just to our cities, but to every village and border post, AI for all.

Under the MoU, Agnikul Cosmos will provide the launch vehicle and orbital hosting platform, leveraging its lightweight and extendable upper-stage architecture. The upper stage including the top nozzle will remain in low Earth orbit and be repurposed as a fully functional space-based data centre, while the lower stage safely returns to Earth.

“As with all rockets, with more launches, we naturally leave behind upper stages in orbit. Our convertible upper-stage technology lets these stages stay active and functional, turning them into usable assets that can host hardware and software in space including compute or data capabilities. That’s the next step for a space transportation company – you build, launch, recover, and then extend into orbit.” — Srinath Ravichandran, Co-founder and CEO of Agnikul Cosmos

“As with all rockets, with more launches, we naturally leave behind upper stages in orbit,” said Srinath Ravichandran, Co-founder and CEO of Agnikul Cosmos. “Our convertible upper-stage technology lets these stages stay active and functional, turning them into usable assets that can host hardware and software in space including compute or data capabilities. That’s the next step for a space transportation company – you build, launch, recover, and then extend into orbit.”

NeevCloud will deploy datacenter, operate, and orchestrate AI inferencing, and processing capabilities within this orbital platform. The system will be powered entirely by solar energy and integrated with NeevCloud’s advanced AI cloud orchestration framework.

The AI Data Centre in Space will function as a continuous, near real-time AI inferencing network, supporting latency-sensitive and mission-critical use cases such as defence, maritime & energy, manufacturing automation, and real-time AI decision-making. By operating from orbit, the model reduces the need for multiple replicated terrestrial edge data centres, cutting GPU duplication, capital expenditure, land use, energy consumption, and cooling infrastructure, while significantly extending the effective utilisation and lifespan of high-value AI silicon.

Disclaimer: This article is based on a press release and has been published with minimal modifications for clarity and formatting.