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On Tue, 8 Apr, 8:05 AM UTC
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Mumbai-based Scoutflo Secures Pre-Seed Funding to Reinvent DevOps with AI
The company plans to expand its presence in India and overseas, build more integrations, and scale its go-to-market efforts. 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. "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. 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."
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Scoutflo Raises INR 1.4 Crore in Pre-Seed Funding to Reinvent DevOps with AI
Scoutflo, a next-generation DevOps AI platform, has raised INR 1.4 crore in a pre-seed funding round led by 100X.VC, with participation from strategic investors Arjun Pillai and Prasanna Venkatesan. The funding will be used to enhance Scoutflo's AI-driven deployment automation, debugging, and issue resolution, while strengthening security and compliance for every deployment. Scoutflo was founded to solve critical DevOps bottlenecks, helping developers deploy code independently, reducing dependency on small DevOps teams, and cutting deployment delays. With just one DevOps engineer for every 20 developers, enterprises lose up to 30% in productivity due to inefficiencies. Scoutflo's AI-powered automation solves this by providing easy-to-use tools for smooth, secure, and cost-effective deployments across AWS, GCP, Azure, and Civo Cloud. Commenting on the funding, Kalpesh Bhalekar, Co-founder & CEO of Scoutflo, said, "The traditional DevOps model struggles to keep up with modern AI-driven software development. Developers need autonomy, while enterprises require security and efficiency. Scoutflo acts as an AI-powered DevOps expert in every team, simplifying deployments while ensuring compliance and security." Vedant Vyawahare, Co-founder & CTO, added, "Our goal is not just automation but intelligent decision-making. Scoutflo's AI understands the nuances of infrastructure and optimizes deployments to prevent bottlenecks, control costs, and ensure scalability. We are building a future where developers can focus on innovation while AI handles the complexities of DevOps." Prasanna Venkatesan, ex-CTO, ZoomInfo India, said, "Having led engineering teams, I've seen firsthand how deployment bottlenecks drain productivity and delay innovation. Developers want to move fast, but they're often stuck waiting for DevOps support. Scoutflo changes this dynamic, giving teams the autonomy to deploy confidently while ensuring security and cost efficiency." Scoutflo will use this funding to accelerate the adoption of AI-powered DevOps. The company will also work toward expanding its solutions across new markets and building strategic partnerships to drive growth and adoption. About Scoutflo Founded in 2024, Scoutflo is an AI-powered DevOps platform that empowers developers to deploy code and infrastructure securely and autonomously. By eliminating infrastructure bottlenecks, Scoutflo accelerates development while ensuring cost efficiency, security, and compliance across cloud environments. With a strong focus on multi-cloud support, security, and developer autonomy, Scoutflo streamlines deployments across AWS, GCP, Azure, and Civo, preventing cloud vendor lock-in. In collaboration with industry leaders like Civo and Last9, Scoutflo enhances flexibility, observability, and reliability -- enabling deeper integrations and more efficient DevOps workflows. Trusted by leading edtech and fintech companies, Scoutflo is redefining DevOps automation, bridging the gap between developers and infrastructure for seamless, scalable, and cost-effective software delivery. For more information, please visit: https://www.scoutflo.com/ About 100X.VC 100X.VC invests in early-stage startups, backing over 140 companies since 2019, with key investments like Dezy ($23M Series A) and BluSmart ($109M raised). The firm actively supports founders with capital, mentorship, and strategic guidance to accelerate startup growth. About Arjun Pillai Arjun Pillai is a serial investor in the SaaS space with over 15+ investments. He was previously the Founder of Insent (acquired by ZoomInfo) and is now building Docket AI, an AI-powered Virtual Sales Engineer platform that has raised $20 million. About Prasanna Venkatesan Prasanna Venkatesan is the CEO of Petavue and the former CTO of ZoomInfo India. He scaled the ZoomInfo India team from 20 to 200 employees and is now building Petavue, an AI-powered platform focused on intelligent data processing and analytics.
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Mumbai-based startup Scoutflo raises pre-seed funding to develop an AI-powered DevOps platform, aiming to streamline deployment processes and enhance developer autonomy across cloud environments.
Scoutflo, an AI-powered DevOps platform startup based in Mumbai, has successfully secured ₹1.4 crore (approximately $168,000) in a pre-seed funding round. The investment was led by 100X.VC, with additional backing from strategic investors Arjun Pillai and Prasanna Venkatesan 12.
Founded by CEO Kalpesh Bhalekar and CTO Vedant Vyawahare, Scoutflo aims to reinvent DevOps workflows by leveraging artificial intelligence. The platform turns deployment, debugging, and compliance into AI-driven, developer-first experiences 1.
Vyawahare explained, "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" 1.
Scoutflo was created to solve critical DevOps bottlenecks that often result in productivity losses. With a typical ratio of one DevOps engineer to 20 developers, enterprises can lose up to 30% in productivity due to inefficiencies 2.
The platform allows developers to provision and deploy infrastructure across various cloud environments, including AWS, GCP, Azure, VMware, and Civo, without becoming cloud experts themselves 1.
Scoutflo's AI system integrates advanced capabilities:
Vyawahare highlighted, "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" 1.
The AI chatbot, which will soon be launched as a free and open tool, is built on top of OpenAI and Anthropic's large language models. The team has fine-tuned these models and implemented advanced prompt engineering techniques 1.
Scoutflo is currently in closed beta, focusing on direct user engagement. The startup plans to use the funding to:
While international competitors like Qovery (US) and Northflank (Europe) are making strides in the field, Scoutflo believes its AI-first approach and cloud provider neutrality give it a unique edge. In India, startups like Facets.cloud and Devtron are considered the closest peers 1.
Bhalekar stated, "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" 1.
As Scoutflo continues to develop its platform, it aims to bridge the gap between developers and DevOps teams, potentially reshaping the landscape of software deployment and management in the era of AI-driven development.
Reference
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