In 2024, most teams are "experimenting" with AI. They have a dozen different tools, a hundred different prompts, and zero governance. Knowledge is trapped in individual chat histories. Context is manually copy-pasted. The result is a fragmented SDLC that feels more manual than ever.
We saw that engineering teams didn't need more LLM access; they needed a stable, governed layer to orchestrate autonomous agents across the entire cycle, from story to deploy.
We built Sage to be the one layer that matters. By separating the Runner (orchestration), the Agents (capability), and the Prompts (knowledge), we give teams the stability to automate their SDLC without vendor lock-in or fragile "prompt engineering".
Sage is built on the belief that agents should be ephemeral, versioned, and perfectly context-aware. They should do one job well, and handover to the next agent precisely.
Whether you're looking for the platform or need our services to build your first autonomous workflow, we're ready when you are.