SRE.ai Raises $7.2M to Build AI-Powered DevOps Agents
▼ Summary
– SRE.ai was founded in 2024 by Edward Aryee and Raj Kadiyala to offer AI agents that perform complex enterprise DevOps workflows using natural language.
– The idea originated from their time at Google Research and DeepMind, where they noticed a gap in infrastructure tooling and tedious tasks faced by engineers outside Google.
– The company differentiates itself by providing cross-platform functionality that works across services like AWS, GCP, Azure, and ServiceNow.
– SRE.ai recently emerged from stealth, announcing a $7.2 million seed round led by Salesforce Ventures and Crane Venture Partners, which was oversubscribed.
– The funding will be used to hire AI engineers and Salesforce experts to support customer growth and extend the platform with new features.
SRE.ai has secured $7.2 million in seed funding to advance its mission of transforming enterprise DevOps through artificial intelligence. The investment, led by Salesforce Ventures and Crane Venture Partners, will fuel the expansion of its platform, which uses natural language AI agents to automate complex workflows like continuous integration, testing, and metadata management. This approach aims to reduce manual toil for development teams and accelerate deployment cycles across diverse cloud environments.
The idea for SRE.ai emerged from the firsthand experiences of co-founders Edward Aryee and Raj Kadiyala during their time at Google Research and DeepMind. They observed a significant gap between the advanced internal tooling available at tech giants and the fragmented, often cumbersome systems used by engineers elsewhere. Aryee, who serves as CTO, described the inspiration as a gradual realization rather than a single moment, a “death by a thousand cuts” that highlighted the inefficiencies plaguing modern DevOps practices.
Kadiyala, the company’s CEO, emphasized that SRE.ai distinguishes itself by operating across multiple platforms including AWS, GCP, Azure, and ServiceNow. Rather than forcing teams to juggle a patchwork of low-code solutions, the platform offers a unified, context-aware interface that functions like an intelligent chat-based assistant. This allows technical staff to manage pipelines, monitor data, and resolve conflicts through conversational commands, significantly streamlining enterprise application management.
Unlike competing tools from vendors such as Copado, Gersetm, or Flosum, SRE.ai is designed to work agnostically across infrastructure and service layers. After a straightforward onboarding process that auto-connects with existing integrations, users can customize dashboards, automate release workflows, and receive real-time alerts for issues like security vulnerabilities or configuration conflicts. Behind the scenes, AI agents continuously monitor system health and proactively suggest remediation steps.
The seed round was oversubscribed, reflecting strong investor confidence in both the team and the vision. Participation in Y Combinator’s Fall 2024 cohort helped the founders connect with lead backers. The new capital will primarily support hiring efforts, with a focus on bringing aboard AI engineers and Salesforce specialists to enhance platform capabilities and support growing customer demand.
Kadiyala noted early market traction and expressed enthusiasm for scaling the team to onboard new enterprise clients while expanding the product’s feature set. By reducing repetitive tasks and empowering IT personnel to focus on strategic initiatives, SRE.ai aims to redefine how organizations approach DevOps in an increasingly multi-platform world.
(Source: TechCrunch)
