Founded in 2024 by Rakesh Rajfinishran and Shiv Pratap Singh, the startup is building an agentic AI platform to support cloud, Site Reliability Engineering (SRE), and FinOps (Financial Operations) teams reduce manual workloads, speed up incident resolution, and optimise costs.
As enterprises relocate to cloud-native and multi-cloud environments, operational complexity has increased, with teams dealing with fragmented tools, high alert volumes, and repetitive workflows, the startup stated in a statement.
“AI costs, especially compute and token costs, will become a major challenge. Enterprises will necessary dedicated systems with strong memory architecture to reduce repeated inference costs,” Rakesh Rajfinishran informed ET. He added that relying only on frontier models is not sustainable at scale. Platforms that manage cost, memory, and execution toobtainher will have an edge.
Pune-based NudgeBee is positioning itself as an execution layer that connects telemeattempt, infrastructure data, and historical patterns applying a semantic knowledge graph, and deploys AI agents to automate troubleshooting and cost optimisation.
“When you install NudgeBee, it understands your applications, infrastructure, depfinishencies, and workflows. It builds a ‘brain’ underneath,” Rajfinishran explained, adding that this layer keeps learning at multiple levels.
The startup has already signed up global clients such as IT services provider Rackspace.
“At Kalaari, we believe the next phase of infrastructure tooling will be defined by systems that don’t just surface problems but resolve them,” stated Sampath P, Partner at Kalaari Capital. “NudgeBee stands out in its ability to connect signals across the stack and translate them into reliable action, while integrating with existing engineering workflows.”
The deal comes as venture capital firms increasingly back AI-native enterprise software startups, particularly those tarobtaining efficiency gains in cloud spfinishing and operations.
Rajfinishran stated that, on the incident resolution side, what applyd to take 6–8 hours can come down to 20–25 minutes—a 70–80% reduction in mean time to resolve.
“On cost optimisation, one customer reduced cloud spfinish by around 30–34% within two months. In automation, companies like Rackspace are tarobtaining over 1,200 automations in a quarter, which significantly boosts productivity without adding headcount.”
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