Former Google Research and DeepMind engineers just launched SRE.ai from stealth with $7.2 million in seed funding to automate complex enterprise DevOps workflows through natural language AI agents. The Y Combinator alum's oversubscribed round, led by Salesforce Ventures and Crane Venture Partners, signals growing investor appetite for AI-powered infrastructure automation as enterprises struggle with increasingly complex multi-cloud environments.
SRE.ai just pulled back the curtain on what could reshape how enterprises handle their most tedious infrastructure tasks. The company emerged from stealth today with a $7.2 million seed round that was so oversubscribed, co-founder and CEO Raj Kadiyala describes the fundraising process as "high conviction."
The timing couldn't be better. As enterprises juggle increasingly complex multi-cloud environments, SRE.ai promises to replace the patchwork of low-code tools that currently plague DevOps teams with natural language AI agents that work seamlessly across platforms from AWS to ServiceNow.
"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.
The genesis story reads like a classic Silicon Valley frustration-turned-opportunity. Co-founders Kadiyala and Edward Aryee, who serves as CTO, witnessed firsthand the infrastructure divide while working at Google Research and DeepMind. "It wasn't one big lightbulb; it was death by a thousand cuts," Aryee explained, describing how engineer friends outside Google constantly complained about metadata conflicts and other tedious tasks.
