For teams of 5 to 200+ using AI

What scattered AIcontext costs yourteam every week

When every person keeps their own AI setup, you pay for it twice, in duplicated hours and in work shipped on outdated information. Gitl replaces that with one library everyone reads.

Around 209 hours per knowledge worker per year go to duplicated work, before you count the cost of a single wrong-price quote.
No price games. No lock-in. Contact within a day.
Price listv12
-Standard plan is $79 a month
+Standard plan is $99 a month
One change, committed once, reaching every model your team uses

Your teams build the truth once

Prompts, docs, tone, pricing, decisions. Saved, versioned and shared in one library.

Swap the model any time

GPT, Claude, Gemini, whatever ships next year. Models come and go. The truth stays with your company.

Everything compounds

Each improvement lands in the library, so the next person and the next model start further ahead.

The base layer for AI in your company

One governed source under every model, agent and person you ever run.

Exactly what you get

Plain contents, no benefits language

The maths

What scattered setups actually cost

At the moment something changesScattered setupsOne library
Time re-teaching AI each weekHours, per personOnce, for everyone
Which version each model usesWhatever was pasted lastAlways the current one
Who can update the sourceWhoever owns each setupAnyone you permit
When someone leavesTheir context leaves tooIt stays in the library
A central change reaching everyoneManual, one at a timeOnce, everywhere
The cost, and the worst case

Priced by team size, and no way to get trapped

Pricing is by team size, and we walk you through it when we talk. You are not signing up to a number on this page. You are asking to see it.

The worst case: you own your files in plain formats and can export any time, and your data is never used to train models. Trying gitl cannot trap your context.

How gitl works

One library. Every version. Everyone current.

Every version, in order

See what changed, and roll back. The current version is the one everyone gets.

One library, every model

Claude, ChatGPT, Gemini and the rest all draw from the same current source, by file or MCP.

Governed access

Approve what goes in, control who sees what. Your data is never used to train models.

Your data stays yours

Your data is never used to train models.

You own your files

Plain formats you can export any time. No lock-in.

Permissioned

People and models see only what you allow.

SOC 2

In progress. We will tell you exactly where it stands.

Pricing is by team size. We will walk you through it when we talk.

One library your whole team reads, instead of paying twice for scattered setups.
You will hear from us within a day.