Singapore startup Nava closes a $22M Series A to fill Asia's AI compute gap with GPU cloud infrastructure, from data centers to developer tools.
A Singapore-headquartered startup called Nava has closed a $22 million Series A round to build purpose-built AI computing infrastructure for Asian markets. Greenoaks led the round, with RTP Global and Unicorn India Ventures joining as co-investors. The company also shed its former name, Kluisz, announcing the rebrand alongside the funding.
The timing reflects a structural problem the region has not yet solved. TechJuice cites KPMG data projecting that Southeast Asia's data center capacity must triple by 2030 to keep pace with AI workload growth, with India facing a roughly equivalent shortfall. Most enterprise infrastructure across the region runs on general-purpose cloud systems built before the current AI compute cycle, leaving companies with higher costs, slower provisioning, and limited control over their deployments.
The vertical stack
Nava's answer is a fully integrated platform spanning hardware and software: AI-optimized data centers, high-performance GPU clusters, orchestration and inferencing layers, and developer-facing tools. Enterprises can build, deploy, and scale AI applications through a single vendor rather than assembling pieces from multiple hyperscale providers. That is a direct pitch against AWS, Google Cloud, and Azure, which dominate cloud spending globally but were not designed around GPU-intensive inference from the outset.
Three co-founders bring complementary backgrounds to a capital-intensive sector. The CEO previously held global COO and CPO roles at OYO, giving him operational experience scaling a company across fragmented Asian markets. A second co-founder was a McKinsey Partner before working at AMD, pairing strategy consulting with chip-level technical depth. The third ran cloud operations at Reliance Jio as VP of Cloud and earlier worked at AT&T, a background in telecom infrastructure that large-scale data center buildouts demand. All three founded Nava in 2025, TechJuice reports.
Fresh capital will fund data center expansion across Asia-Pacific, GPU compute scaling, and senior hiring across data center design, GPU engineering, and go-to-market functions. Nava is not starting from scratch. The company previously raised $9.6 million in seed funding led by RTP Global, with Unicorn India Ventures, Blume Founders Fund, and Climber Capital also participating, bringing total funding to $31.6 million across two rounds.
Reading the strategy
The vertically integrated model has precedents outside Asia. CoreWeave in the United States built a comparable GPU-cloud stack targeting AI and machine learning workloads and reached a multi-billion dollar valuation before going public in early 2025. Owning the full stack from physical data center to software API lets a provider tune for AI in ways general-purpose hyperscalers structurally cannot, and allows faster adoption of new GPU generations as they arrive. The trade-off is brutal capital intensity and competition from incumbents with far larger balance sheets.
Asia's regulatory and connectivity fragmentation adds a variable the global clouds have historically underserved. A regional operator fluent in local data residency rules and the connectivity requirements between India, Singapore, and Southeast Asian markets can offer enterprises something U.S.-headquartered platforms are slow to address, particularly as AI workloads generate new data sovereignty questions. That localization argument is probably Nava's most defensible pitch to enterprise buyers who cannot simply route sensitive workloads through infrastructure based overseas.
At $31.6 million in total funding, the company is still well short of the capital needed to build AI data centers at competitive scale. Facilities of this kind routinely cost hundreds of millions to construct, which means Nava will almost certainly need to raise substantially more, or secure partnerships with existing facility operators, before it can challenge incumbents on raw capacity. How the company resolves that tension will determine whether the strategy holds.
FAQ
What is Nava and where is it based?
Nava is an AI cloud infrastructure startup headquartered in Singapore, formerly operating as Kluisz. It was founded in 2025 and targets enterprise AI compute demand across Asia-Pacific and India.
Who invested in Nava's Series A?
Greenoaks led the $22 million round, with RTP Global and Unicorn India Ventures participating. RTP Global also led Nava's earlier $9.6 million seed round, per TechJuice.
What does Nava's vertically integrated platform include?
The platform spans AI-optimized data centers, GPU compute clusters, orchestration and inferencing software, and developer tools, giving enterprises a single-vendor stack for building and deploying AI applications without relying on general-purpose cloud providers.
Why does Asia need dedicated AI infrastructure?
KPMG data cited by TechJuice projects that Southeast Asian data center capacity must triple by 2030 to meet AI demand. Most existing regional infrastructure was built for general-purpose workloads and is not optimized for the GPU-intensive computing that modern AI requires.