Former OYO Executive’s Startup Nava Raises $22 Mn To Build Neocloud Platform

Why It Matters

Nava’s funding and APAC pivot position it to fill a critical AI‑compute gap in India and the broader region, where enterprise demand for high‑performance GPU resources is outpacing existing cloud capacity.

Key Takeaways

• Nava secures $22 million Series A, led by Greenoaks.
• Rebranded from Kluisz.ai, Singapore becomes regional HQ.
• Full‑stack neocloud offers GPU‑as‑a‑service for enterprises.
• Capital will fund AI data‑centre design, GPU engineering, talent.
• India's AI data‑centre gap exceeds $200 billion investment demand.

Pulse Analysis

Nava’s $22 million Series A, anchored by Greenoaks, marks a decisive step for the ex‑OYO executive’s venture into the fast‑growing AI infrastructure market. Co‑founders Abhinav Sinha, former McKinsey partner Vamshidhar Reddy, and ex‑Jio cloud VP Abhijeet Singh bring deep industry expertise, while the Singapore headquarters signals a strategic push toward APAC talent pools and enterprise customers. The round also expands participation from RTP Global and Unicorn India Ventures, underscoring confidence in Nava’s vision to deliver a vertically integrated AI compute stack.

At the core of Nava’s offering is a full‑stack neocloud platform that bundles GPU‑as‑a‑service, bare‑metal compute, orchestration, and developer‑friendly tools. By handling everything from AI‑optimised data‑centre design to inference layers, the platform lets enterprises bypass the complexity of managing their own high‑performance hardware. This model aligns with the broader shift toward AI‑native cloud services, where speed, scalability, and cost efficiency are paramount for firms building large language models, computer‑vision pipelines, and real‑time analytics.

India’s AI data‑centre ecosystem is undergoing a $200 billion investment surge, yet a sizable capacity shortfall persists as most facilities remain tuned for traditional workloads. Nava’s vertically integrated approach directly addresses this gap, promising AI‑ready infrastructure that can scale with the country’s projected $126 billion AI market by 2030 and its potential $1.7 trillion GDP contribution by 2035. By accelerating deployment of GPU‑centric resources, Nava positions itself as a key enabler for enterprises seeking to harness sovereign AI initiatives and stay competitive in a data‑intensive future.