YC-backed SRE.ai Secures $7.2M for DevOps AI agents

SRE.ai Inc., a startup using artificial intelligence to make software teams more productive, has come out of stealth with $7.2 million in initial funding.

The round was led by Salesforce Ventures and Crane Venture Partners. 

SRE.ai will use the new capital injection to hire AI engineers and Salesforce experts. 

How Does SRE.ai Work?

The San Francisco-based company was launched in 2024 by Raj Kadiyala and Edward Aryee. SRE.ai’s platform offers natural language AI agents that can perform complex enterprise DevOps workflows, such as continuous integration and testing. 

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“Instead of stitching together different low-code tools for enterprise applications like Salesforce, compared to products built on AWS, GCP, or Azure, teams can now move faster with context-driven, chat-like experiences that work across all of them,” Kadiyala told TechCrunch.

Releasing software to production is a multi-step process. Developers start by scanning new code for security vulnerabilities and other flaws. Once the code is transformed into a functional application, it’s rigorously tested in a cloud-based sandbox. In some cases, a canary release – a small-scale test with a subset of users – is also conducted before the full launch.

Before releasing code to production, engineers can leverage SRE.ai’s built-in chatbot to detect bugs. The platform analyzes data from the team’s work management apps to identify issues, explain the bugs, and highlight similar past flaws. 

SRE.ai can even auto-fix specific issues. If a test environment exceeds infrastructure limits, the platform can temporarily boost capacity. Developers can also use the platform to create test environments from scratch, provisioning infrastructure and installing sample datasets as needed. These sandboxes can be set to auto-shutdown after testing. 

For post-deployment issues, SRE.ai offers a rollback tool to revert faulty updates quickly. The chatbot can also facilitate canary releases, rolling out new code to a limited user base to minimize bug impact. The YC-backed startup responds to both user prompts and project milestones, automating tasks like spinning up test environments when code changes are made.

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About The Co-founders and What’s Next

The founders thought of the product while working at Google Research and DeepMind. Aryee said they noticed the divide between the infrastructure tooling they had access to versus what others who didn’t work at Google had to use. 

Their engineer friends lamented about tedious tasks, like untangling metadata conflicts. “It gnawed at us,” Aryee told TechCrunch. 

Other players competing with SRE.ai in the same industry are Copado, Gearset, and Flosum. However, Kadiyala said that the startup is different because it works across multiple platforms spanning from AWS to ServiceNow.

The company was part of YC’s Fall ’24 cohort, which helped Aryee and Kadiyala meet their lead investors. SRE.ai will use the fresh capital to build out its engineering team and partner with select enterprise customers. 

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“We’re seeing a lot of early traction; we’re excited about building out our team to support new customers and extend the platform with new features,” he said.

Main Image: Edward Aryee and Raj Kadiyala SRE.ai fo-cofounders. Image Credit: Edward Aryee and Raj Kadiyala