As firms proceed to debate between sticking with Kubernetes or creating in-house cloud options, Scoutflo, an AI-powered DevOps platform, goals to get rid of the tedious features of those deployments, it doesn’t matter what choice you choose.
The agency has raised ₹1.4 crore in a pre-seed spherical led by 100X.VC, with extra backing from strategic traders like Arjun Pillai and Prasanna Venkatesan. The startup goals to reinvent DevOps workflows by turning deployment, debugging, and compliance into AI-driven, developer-first experiences.
With the brand new funding, Scoutflo desires to deal with constructing a stronger product. It plans to increase its presence in India and abroad, construct out extra integrations, and scale its go-to-market efforts. The crew can be doubling down on developer expertise, working carefully with companions like Civo and Last9 to supply higher observability and reliability.
Based by CEO Kalpesh Bhalekar and CTO Vedant Vyawahare, Scoutflo’s seven-member crew believes that conventional DevOps can’t preserve tempo with the fast improvement of AI-first software program.
“Builders are anticipated to maneuver quick, however they’re nonetheless slowed down by gradual processes and an absence of autonomy. Scoutflo acts as an AI-powered DevOps knowledgeable embedded in each crew,” Vyawahare mentioned whereas talking with AIM.
Bhalekar and Vyawahare aren’t new to the ache factors they’re fixing. The latter beforehand labored at BrowserStack, the place he noticed related bottlenecks in QA processes. That have gave him a framework to determine friction between builders and infrastructure, particularly in fast-paced environments.
Whereas researching the issue, they nonetheless spoke to 100-200 CTOs and CDOs, and one perception grew to become obviously apparent—Devops groups are stretched skinny. In lots of firms, the ratio is usually 1 DevOps engineer to twenty builders, resulting in burnout and main slowdowns in deployment cycles.
What Scoutflo Truly Does?
“DevOps guys are continuously getting swamped,” mentioned Vyawahare. “This dynamic results in builders ready round, delays in transport, and total loss in momentum. We thought—what if we may give builders the autonomy to handle deployments themselves, with out sacrificing safety or effectivity?”
Scoutflo does simply that. It’s an AI platform that sits on high of cloud environments—AWS, GCP, Azure, VMware, and even Civo—permitting builders to provision and deploy infrastructure with out changing into cloud specialists.
It’s a cloud-agnostic Platform-as-a-Service (PaaS) designed to help builders in deploying infrastructure and providers with out worrying concerning the underlying expertise stack.
It handles every part from auto-generating Terraform scripts to setting the precise safety guardrails—all powered by an built-in AI system that helps provisioning, debugging, and even price optimisation.
“You may actually chat with our AI to ask issues like, ‘Why is my deployment failing?’ or ‘Are you able to assist me spin up a safe staging atmosphere on AWS?’ and it’ll get executed,” Vyawahare defined. “It’s not simply automation—it’s clever decision-making. Our AI understands infrastructure, dependencies, and scaling necessities.”
This isn’t nearly deploying a single service. Scoutflo is designed to handle complicated, multi-service deployments—together with these involving LLMs, conventional APIs, databases, and extra. Whereas “LLMOps” is merely one subset, Scoutflo encompasses the whole pipeline.
“Most DevOps instruments simply assist with common providers. We cowl Kubernetes and non-Kubernetes deployments equally effectively. We need to be the go-to platform for firms trying to shift to scalable architectures with out the overhead,” Vyawahare mentioned.
The product is at present in closed beta, and at this stage, the main target is on direct engagement with customers. Quickly, they’ll launch an AI chatbot—a totally free and open instrument designed to generate Terraform code, deal with debugging queries, and help with recent setups.
As for the chatbot’s backend, it’s constructed on high of OpenAI and Anthropic’s giant language fashions. “We’ve fine-tuned these fashions, and we’ve executed quite a lot of superior immediate engineering. We’re additionally utilizing MCPs, a brand new expertise we’re fairly bullish on,” they mentioned. “We’re forward of the curve right here, particularly since not many groups in India are exploring MCPS but.”
The startup is at present a compact crew of seven however is contemplating enlargement quickly. “We’re transferring quick, and progress is on the horizon,” they mentioned.
A Crowded Market
Internationally, rivals like Qovery (within the US) and Northflank (in Europe) are already making waves. Northflank, as an example, has been working for 2 years and lately raised a $22 million spherical.
In India, the closest friends are startups like Sides.cloud and Devtron. “They’re doing good work, however we imagine our AI-first method and neutrality on the subject of cloud suppliers and IaC (Infrastructure as Code) provides us a novel edge,” Bhalekar advised AIM.
Whereas most deployment instruments cease as soon as the code is reside, Scoutflo goes additional. The platform consists of AI-assisted debugging and post-deployment workflows to assist builders handle providers after launch.
It reduces the training curve for complicated methods like Kubernetes, enabling even much less skilled builders to work with production-level infrastructure.
“We’re bridging the hole between builders and DevOps, particularly post-deployment. You may deploy, monitor, debug—multi function circulate,” mentioned Vyawahare. “That’s the place quite a lot of the standard instruments fall brief.”
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