SRE.ai is a San Francisco-based, Y Combinator-backed startup building AI agents that can perform the complex, error-prone DevOps work that normally consumes engineering teams — continuous integration, testing, deployment, and release management — all driven through natural language. The company emerged from stealth in August 2025 with a mission to close a gap its founders saw firsthand.
That gap is the stark difference between the internal infrastructure tooling available at companies like Google and what most enterprises can actually access. Founders Edward Aryee and Raj Kadiyala, both formerly of Google Research and DeepMind, set out to bring that caliber of automation to organizations running on platforms like Salesforce, AWS, GCP, and Azure — environments where teams typically cobble together brittle low-code tools to manage releases.
SRE.ai replaces that patchwork with context-driven, chat-like AI agents. As CEO Kadiyala describes it, teams can now move faster with a conversational experience that works across heterogeneous enterprise stacks, rather than maintaining separate low-code pipelines for each platform. The agents understand the context of an organization's systems, letting engineers express intent in plain language and have the platform carry out multi-step DevOps operations.
The enterprise focus is deliberate. Large organizations — particularly those built heavily on Salesforce — face acute complexity in CI/CD and release orchestration, and SRE.ai aims to make that complexity navigable through agents rather than scripts. This positions the company in the fast-growing category of agentic DevOps and SRE automation.
SRE.ai raised a $7.2 million seed round led by Salesforce Ventures and Crane Venture Partners, a signal of strong strategic interest from the Salesforce ecosystem the company serves. Founded in 2024, SRE.ai is using the capital to expand its agent platform and bring natural-language DevOps automation to more enterprises.