At a time when artificial intelligence is moving from experimentation to enterprise deployment, a new layer of startups is quietly building the infrastructure behind it. Nava is one of them.
The enterprise AI startup has raised $22 million in a fresh funding round led by Greenoaks Capital, with participation from RTP Global and Unicorn India Ventures. The round follows its $9.6 million seed funding secured in July last year, signaling steady investor confidence in its evolving direction.
Nava isn’t chasing consumer-facing AI or flashy applications. Instead, it is positioning itself deeper in the stack, building the underlying systems that allow enterprises to run AI reliably, securely, and at scale.
Originally known as Kluisz, the company has pivoted toward AI infrastructure, aligning itself with a growing need among enterprises: managing complex AI workloads across fragmented environments. As businesses increasingly adopt AI, the challenge is no longer just access to models, but the ability to deploy and operate them efficiently across hybrid systems.
Founded in 2024 by Abhinav Sinha, former COO and CPO at Oyo; Vamshidhar Reddy, a former McKinsey partner; and Abhijeet Singh, who has experience in cloud infrastructure, Nava brings together leadership with both operational and technical depth.
The company is building what it describes as a developer-first, AI-native private cloud designed specifically for enterprise use cases. Its platform focuses on orchestrating AI workloads across hybrid, on-premise, edge, and sovereign cloud environments, an increasingly important requirement as companies deal with regulatory constraints and data localization needs.
What sets Nava apart is its attempt to simplify complexity. Instead of forcing enterprises to manually manage infrastructure decisions, the platform allows developers to define goals around performance, compliance, or cost. The system then automatically handles deployment and execution across different infrastructure layers, integrating security, observability, and automation into the process.
The fresh capital will be used to expand this platform and deepen its footprint across key Asia-Pacific markets, a region where enterprise AI adoption is accelerating, but infrastructure remains fragmented and uneven.
Nava’s bet is clear: as AI becomes core to enterprise operations, the real opportunity may lie not just in building smarter models, but in enabling them to run seamlessly across diverse environments.
If that thesis holds, infrastructure players like Nava could end up shaping how enterprise AI actually works, far beyond the headlines.
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