As companies continue to debate between sticking with Kubernetes or developing in-house cloud solutions, Scoutflo, an AI-powered DevOps platform, aims to eliminate the tedious aspects of these deployments, no matter what option you select.
The firm has raised ₹1.4 crore in a pre-seed round led by 100X.VC, with additional backing from strategic investors like Arjun Pillai and Prasanna Venkatesan. The startup aims to reinvent DevOps workflows by turning deployment, debugging, and compliance into AI-driven, developer-first experiences.
With the new funding, Scoutflo wants to focus on building a stronger product. It plans to expand its presence in India and overseas, build out more integrations, and scale its go-to-market efforts. The team is also doubling down on developer experience, working closely with partners like Civo and Last9 to offer better observability and reliability.
Founded by CEO Kalpesh Bhalekar and CTO Vedant Vyawahare, Scoutflo’s seven-member team believes that traditional DevOps cannot keep pace with the rapid development of AI-first software.
“Developers are expected to move fast, but they’re still bogged down by slow processes and a lack of autonomy. Scoutflo acts as an AI-powered DevOps expert embedded in every team,” Vyawahare said while speaking with AIM.
Bhalekar and Vyawahare are not new to the pain points they’re solving. The latter previously worked at BrowserStack, where he saw similar bottlenecks in QA processes. That experience gave him a framework to identify friction between developers and infrastructure, especially in fast-paced environments.
While researching the problem, they still spoke to 100-200 CTOs and CDOs, and one insight became glaringly obvious—Devops teams are stretched thin. In many companies, the ratio is often 1 DevOps engineer to 20 developers, leading to burnout and major slowdowns in deployment cycles.
What Scoutflo Actually Does?
“DevOps guys are constantly getting swamped,” said Vyawahare. “This dynamic leads to developers waiting around, delays in shipping, and overall loss in momentum. We thought—what if we could give developers the autonomy to manage deployments themselves, without sacrificing security or efficiency?”
Scoutflo does just that. It’s an AI platform that sits on top of cloud environments—AWS, GCP, Azure, VMware, and even Civo—allowing developers to provision and deploy infrastructure without becoming cloud experts.
It’s a cloud-agnostic Platform-as-a-Service (PaaS) designed to assist developers in deploying infrastructure and services without worrying about the underlying technology stack.
It handles everything from auto-generating Terraform scripts to setting the right security guardrails—all powered by an integrated AI system that helps provisioning, debugging, and even cost optimisation.
“You can literally chat with our AI to ask things like, ‘Why is my deployment failing?’ or ‘Can you help me spin up a secure staging environment on AWS?’ and it’ll get done,” Vyawahare explained. “It’s not just automation—it’s intelligent decision-making. Our AI understands infrastructure, dependencies, and scaling requirements.”
This isn’t just about deploying a single service. Scoutflo is designed to manage complex, multi-service deployments—including those involving LLMs, traditional APIs, databases, and more. While “LLMOps” is merely one subset, Scoutflo encompasses the entire pipeline.
“Most DevOps tools just help with regular services. We cover Kubernetes and non-Kubernetes deployments equally well. We want to be the go-to platform for companies looking to shift to scalable architectures without the overhead,” Vyawahare said.
The product is currently in closed beta, and at this stage, the focus is on direct engagement with users. Soon, they’ll launch an AI chatbot—a completely free and open tool designed to generate Terraform code, handle debugging queries, and assist with fresh setups.
As for the chatbot’s backend, it’s built on top of OpenAI and Anthropic’s large language models. “We have fine-tuned these models, and we’ve done a lot of advanced prompt engineering. We are also using MCPs, a new technology we’re quite bullish on,” they said. “We’re ahead of the curve here, especially since not many teams in India are exploring MCPS yet.”
The startup is currently a compact team of seven but is considering expansion soon. “We’re moving fast, and growth is on the horizon,” they said.
A Crowded Market
Internationally, competitors like Qovery (in the US) and Northflank (in Europe) are already making waves. Northflank, for instance, has been operating for two years and recently raised a $22 million round.
In India, the closest peers are startups like Facets.cloud and Devtron. “They’re doing good work, but we believe our AI-first approach and neutrality when it comes to cloud providers and IaC (Infrastructure as Code) gives us a unique edge,” Bhalekar told AIM.
While most deployment tools stop once the code is live, Scoutflo goes further. The platform includes AI-assisted debugging and post-deployment workflows to help developers manage services after launch.
It reduces the learning curve for complex systems like Kubernetes, enabling even less experienced developers to work with production-level infrastructure.
“We’re bridging the gap between developers and DevOps, especially post-deployment. You can deploy, monitor, debug—all in one flow,” said Vyawahare. “That’s where a lot of the traditional tools fall short.”