SRE.ai launched to speed up enterprise DevOps with natural language AI agents. The startup offers chat-style workflows that handle complex tasks like continuous integration and testing across platforms like AWS, GCP, Azure, and ServiceNow.
Founders Edward Aryee and Raj Kadiyala built this after seeing the split between Google’s internal tools and what others had to use. Their goal: cut down on tedious issues like metadata merge conflicts and streamline DevOps.
Edward Aryee stated:
“It wasn’t one big lightbulb; it was death by a thousand cuts.”
“The next generation of DevOps experiences needed to be created.”
The company came out of stealth Wednesday with a $7.2M seed round led by Salesforce Ventures and Crane Venture Partners. SRE.ai went through YC’s Fall ’24 batch, which helped secure investors.
SRE.ai’s onboarding auto-connects tools and customizes integrations for pipelines, dashboards, and monitoring. Background AI agents flag risks—security, metadata conflicts—and suggest fixes. This frees IT teams to focus on bigger projects instead of busy work.
Kadiyala called fundraising “high conviction” and said the round was oversubscribed.
Raj Kadiyala explained:
“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.”
“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.”
SRE.ai plans to hire AI engineers and Salesforce experts with their new funding. Their edge comes from working seamlessly across multiple platforms, unlike competitors Copado, Gersetm, and Flosum.
SRE.ai is officially live and targeting enterprise DevOps headaches with conversational AI power.
