Enterprise tech startup NudgeBee has raised $3 Mn (₹27.9 Cr) in its seed funding round led by Kalaari Capital

The Pune-based startup plans to use the fresh funds to strengthen its AI research and product development to reduce reliance on expensive third-party AI models

It will also invest in its go-to-market strategy, including direct enterprise sales and partnerships.

Enterprise tech startup NudgeBee has raised $3 Mn (₹27.9 Cr) in its seed funding round led by Kalaari Capital.

The Pune-based startup plans to use the fresh funds to strengthen its AI research and product development to reduce reliance on expensive third-party AI models. It will also invest in its go-to-market strategy, including direct enterprise sales and partnerships.

The startup is also building a channel-led distribution model, as enterprise deployments often require custom integration and last-mile setup.

Founded in 2024 by Rakesh Rajendran and Shiv Pratap Singh, NudgeBee is building agentic AI solutions for enterprise cloud operations that help teams manage complex cloud setups.

The idea for NudgeBee came from the founders’ earlier experience building data platforms for large global companies. Rajendran, who previously worked as the India head for clinical analysis company Saama Technologies, said that management of AI apps post deployment continued to be a key challenge faced by companies.

NudgeBee is trying to solve issues such as system failures, slow applications, rising cloud costs and infrastructure upgrades.

The startup’s platform works as a layer on top of a company’s cloud or on-premise systems. It maps applications, infrastructure, dependencies and existing tools to create a unified view. Based on this, it deploys AI agents that can identify and fix issues.

It offers pre-built agents for site reliability, cloud cost optimisation and Kubernetes operations. It also allows companies to build their own automation workflows using AI agent-based systems, without having to manage the underlying AI models.

Rajendran said this helps enterprises move away from fragmented tools and scripts towards a single platform. Instead of just flagging alerts, the system can take actions within existing workflows.

The startup is already working with enterprise customers such as Rackspace. It is targeting mid-market companies in the US, while also seeing demand from global capability centres (GCCs) in India. These GCCs often handle cloud operations and engineering work for multinational companies.

The funding comes at a time when enterprises are increasingly adopting AI-led tools across workflows, from model training and evaluation to automation of core operations. This has led to an increased investor interest in the AI SaaS segment.

For instance, Deccan AI recently raised $25 Mn in a funding round led by A91 Partners to scale post-training data and enterprise AI infrastructure. Similarly, enterprise tech startup TraqCheck secured $8 Mn in its Series A round led by IvyCap Ventures to expand its AI agent-led recruitment platform.