While traditional data centre giants like Google and Amazon are restricted by land acquisition and power grids, an Indian startup is looking to solve all these problems entirely. At the India AI Impact Summit 2026, I spotted an interesting startup, NeevCloud, that is looking to change the way we look at data centres by sending them to space. Quite literally cloud computing.
I sat down with Narendra, the founder of NeevCloud, and had an interesting conversation with him. Where he explained how the company is pivoting away from the traditional real estate constraints of Earth to build the world’s next supercomputing environment in space.
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While all these ambitions sound great, a bigger question is, why do we even need data centres in space? Isn’t building data centres on Earth the ideal way to look at things? Well, Narendar explained his perspective and gave an interesting answer. He explained that building a data centre in a traditional way requires at least 24 months, and the workload cannot wait that long, so the growth of infrastructure has to be parallel as well.
He stated, “So, when we started building a company, building a data center in the country, we realized a lot of fundamental challenges. When you go acquire the land, bringing the power, bringing the fiber together, it is a time-taking thing. And the AI workload is growing super fast, but the infrastructure is not growing with that speed.”
While all these ambitions sound great, I did want to understand who exactly would benefit as an end consumer. So I asked the same, and Narendar went deep dive and explained who NeevCloud is aimed at.
As per him, “It depends on your workload. Your workload is not critical; you don’t need to take the services from the space because it is initially expensive.” While he states that the tech is not very expensive, his target audience is the people who need it and can afford it. He explained it by suggesting that this technology would be useful for someone in critical border security.
“Now defence can spend they have a $100 billion budget, right? And they are spending a lot of money more than what it takes. And it is the security of the country. So that’s why they can consume it, they can use it. And that’s why we call it inferencing for critical workload, not for general-purpose workload.”
Also Read: Google wants to take AI to space with solar-powered data centres
