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a37 is an AI research and product lab training fully autonomous DevOps engineers.
Today’s DevOps landscape is a patchwork of disconnected, hard-to-manage tools. The resulting operational tax causes org wide issues: heightened security risk, rising cloud spend, and slower release cycles.
The rise of AI software engineering agents has exacerbated these issues, causing more stress on DevOps teams than ever before. This isn't just inefficient—it's unsustainable. The current approach to DevOps will inevitably collapse under its own weight.
Our team is a tight-knit group of second time technical founders with deep experience across AI and infrastructure. We work to win.
If you have an edge you can contribute, reach out.
a37 San Francisco, California, USA Office
San Francisco, California, United States
What you need to know about the San Francisco Tech Scene
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
