Nava raises USD $22 million to expand AI cloud in Asia

Nava has raised USD $22 million in a Series A funding round led by Greenoaks. It has also rebranded from Kluisz and established Singapore as its regional headquarters.

The round included existing investors RTP Global and Unicorn India Ventures. The company will use the funding to expand its AI cloud platform, grow operations across Asia-Pacific, and hire senior leaders in AI data centre design, GPU engineering, go-to-market, and operations.

Founded in 2025, Nava is led by Co-founders Abhinav Sinha, Chief Executive Officer, Vamshidhar Reddy, and Abhijeet Singh. The founders previously held senior roles at OYO, McKinsey, AMD, Jio, and AT&T.

Nava is targeting a market where demand for AI computing infrastructure is rising quickly across Asia. It is building GPU compute and AI data centres in the region, with a platform designed specifically for AI workloads rather than general cloud use.

The company argues that regional supply remains limited as businesses adopt AI tools and services more quickly. It cited KPMG estimates that data centre capacity across Southeast Asia will need to triple by 2030 to meet growing AI compute demand, with India facing a similar gap.

Nava previously raised USD $9.6 million in seed funding from RTP Global, Unicorn India Ventures, Blume Founders Fund, and Climber Capital. The new financing gives it fresh backing as competition intensifies among cloud providers, infrastructure start-ups, and data centre operators seeking a foothold in the AI market.

Regional push

By choosing Singapore as its regional headquarters, Nava is positioning itself in one of Asia's main technology and finance hubs. The city-state has become a base for many regional cloud, semiconductor, and data infrastructure businesses because of its connectivity, investor network, and access to talent.

Nava will maintain a strong execution base in India while expanding across Asia-Pacific. That reflects its focus on serving customers across multiple markets where AI adoption is increasing, but infrastructure remains uneven.

Investor view

Sinha said the latest financing marks a broader shift in the company's ambitions.

"This fundraise marks an important step in our journey. What started as an AI-native cloud platform has now evolved into something much larger, where we are building the foundational cloud platform layer for AI in Asia. We're grateful to our investors for their continued support and conviction as we build in a category that is growing and rapidly evolving," said Abhinav Sinha, Co-founder and Chief Executive Officer of Nava.

RTP Global, which backed Nava at the seed stage, said it had seen the founding team make rapid progress.

"As one of the earliest backers of the company, we have seen Abhinav, Vamshi, and Abhijeet execute with strong clarity and speed in a highly complex space. In under a year, this team has demonstrated exceptional execution and is strongly positioned to address the growing need for purpose-built AI infrastructure across Asia," said Madhur Makkar, Principal at RTP Global.

Unicorn India Ventures said the investment reflects rising demand for compute infrastructure and GPUs as AI spreads through businesses and software products.

"We are witnessing a structural shift with AI driving demand for compute infra and GPUs, a critical part of the overall value chain. As a deep tech investor, we back companies across the AI value chain, and Nava fits well within this strategy. The team has demonstrated strong early growth, and we see clear demand for their cloud infrastructure offerings," said Bhaskar Majumdar, Managing Partner at Unicorn India Ventures.

The funding round comes as investors continue to look for opportunities across the AI supply chain, from chips and data centres to software infrastructure. In Asia-Pacific, that interest has been shaped by concerns over limited capacity, the cost of expanding compute resources, and the need for regional alternatives as demand for AI training and inference grows.

Nava is building an integrated platform that combines AI-focused data centres, GPU compute, orchestration and inferencing software, and developer tools. It aims to position itself between traditional cloud providers and customers seeking infrastructure designed specifically for AI applications.