The knowledge your team feeds AI lives in one governed, version-controlled library, so every person and every model works from the current version. Built on infrastructure that has been running in enterprise production for years.
Prompts, docs, tone, pricing, decisions. Saved, versioned and shared in one library.
GPT, Claude, Gemini, whatever ships next year. Models come and go. The truth stays with your company.
Each improvement lands in the library, so the next person and the next model start further ahead.
One governed source under every model, agent and person you ever run.
They have a propagation problem. The context already exists, spread across a dozen personal setups, and there is no way to update all of them at once. A shared drive is not governed or versioned, and nobody knows which file is current. A code repo only reaches engineers.
Gitl fixes the propagation. One governed library that every person and every model reads, so one change lands everywhere, versioned.
See what changed, and roll back. The current version is the one everyone gets.
Claude, ChatGPT, Gemini and the rest all draw from the same current source, by file or MCP.
Approve what goes in, control who sees what. Your data is never used to train models.
Your data is never used to train models.
Plain formats you can export any time. No lock-in.
People and models see only what you allow.
In progress. We will tell you exactly where it stands.
Pricing is by team size. We will walk you through it when we talk.
We are building this with our first teams. We will be in touch within a day.
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