YC-backed startup SRE.ai has raised $7.2 million in seed funding, coming out of stealth with AI agents designed to take the grunt work out of DevOps.
The San Francisco-based company, founded by ex-Google and DeepMind engineers, promises to give IT teams faster, context-driven automation across AWS, Azure, Salesforce, and more.
Key Takeaways
- YC alum SRE.ai raises $7.2M seed to scale DevOps AI agents
- Backed by Salesforce Ventures and Crane Venture Partners
- Founders are ex-Google/DeepMind engineers solving metadata conflicts
- Platform spans AWS, Azure, Salesforce, and ServiceNow workflows
- Agents flag risks, automate tasks, and free teams for high-value work
SRE.ai, a Y Combinator alum, raised $7.2M to launch AI agents that automate complex DevOps tasks across AWS, Azure, and Salesforce. Backed by Salesforce Ventures, the startup aims to cut repetitive IT work, reduce errors, and let engineering teams focus on higher-value projects.
SRE.ai Emerges from Stealth with $7.2M
Y Combinator alum SRE.ai has officially exited stealth mode with a $7.2 million seed round led by Salesforce Ventures and Crane Venture Partners. The San Francisco startup is introducing AI-powered agents that streamline enterprise DevOps workflows, from continuous testing to data monitoring.
The founders, Edward Aryee (CTO) and Raj Kadiyala (CEO), developed the idea after stints at Google Research and DeepMind. They noticed the divide between elite infrastructure tooling and the cumbersome processes most engineers face.
“It wasn’t one big lightbulb; it was death by a thousand cuts,” Aryee told TechCrunch. “Engineers kept struggling with repetitive issues like metadata conflicts, and it gnawed at us.”
How the AI Agents Work
Unlike low-code solutions stitched together for single platforms, SRE.ai promises cross-cloud, context-driven automation. Its natural language interface lets DevOps teams query, configure, and resolve tasks in a chat-like format.
CEO Kadiyala explained: “Instead of juggling different low-code tools, teams can now move faster with context-driven, chat-like experiences that work across AWS, GCP, Azure, and Salesforce.”
The platform integrates automatically, tailoring workflows to release pipelines, dashboards, and compliance monitoring. AI agents then work in the background to flag risks and recommend fixes — from security vulnerabilities to integration errors.
Why It Matters
DevOps engineers worldwide face mounting pressure to manage increasingly complex, multi-cloud environments. By cutting repetitive work, SRE.ai could boost productivity, reduce downtime, and minimize security risks.
With competitors like Copado and Flosum, SRE.ai’s cross-platform compatibility is its standout differentiator.
Numbers to Watch
- $7.2M seed round oversubscribed, led by Salesforce Ventures
- Fall 2024 YC cohort alumni, founded in 2024
- Multi-cloud support across AWS, Azure, GCP, Salesforce, ServiceNow
What’s Next
- Hiring AI engineers and Salesforce experts to expand team
- Extending the platform with advanced security automation
- Expanding early customer base in enterprise DevOps
- Positioning against entrenched players like Copado and Flosum
Conclusion
SRE.ai’s $7.2M raise signals growing investor confidence in AI-powered DevOps. By bridging multi-cloud complexity with natural language automation, the startup could reshape how enterprises build and release software.
For engineers, it means less grunt work. For enterprises, it means faster, safer deployments. The big question: will SRE.ai scale faster than incumbents adapt?