Limina Labs · Sovereign AI
AI agents usually fail for two reasons: nobody wrote down clearly enough what they were meant to do, and nothing was watching what they actually did. Neither is fixed by a better model. The work gets agreed before anything starts, every request to a model is checked and recorded, and what your company learns is kept. It all runs on your own servers, with any model you like.
Intent Studio and Precepta, available now · Runs on your infrastructure · Zero-egress · Any model
Three questions
Work arrives as a one-line request, not a proper brief. Everyone fills the gaps with their own assumptions, nobody says so, and the guesses pile up until the result is wrong. The model was never the problem.
If the rules only live in the prompt, the AI can be talked around them — and your data goes out to someone else's servers. When an auditor asks what happened, you need a real answer.
The thinking happened inside one AI call and then disappeared. The next team starts from nothing, and when an experienced person leaves, what they knew leaves with them.
The insight
The model is the muscle. You rent it, and you can swap it. The mind is different: what your company is trying to do, what it is allowed to do, and what it has learned. That part should belong to you.
The model — you rent it
The record — you own it
Right now that record lives in people's heads, in prompts copied between tools, and inside someone else's software. So you do not really own it. Read the full argument →
What you can buy
Intent Studio is where the work gets written down and agreed. Precepta is what every request to a model passes through. You can buy either on its own. Together, you can show exactly what was decided and what happened.
Where a team and its agents build one shared understanding of a piece of work before anything acts on it. Every line is attributed — proposed, agreed, contested or escalated — and you set how much the agents may decide alone.
The control plane every model request passes through — firewall, sensitivity, policy, routing, cache and audit. Nothing can leave your network — that is how it is built, and there is a signed proof. Works with the OpenAI API, so only the address changes.
The reasoning layer — what the organisation knows, and what changed. Six kinds of memory, constructed rather than retrieved. Drops into your own agent stack, with or without the other two.
Proof, not promises
The only claims worth anything are the ones you can check yourself. So we put those first: run it, test it, then read why it works. Take our word for none of it.
We set it up on your own servers, with your logins and your records. You see for yourself what was allowed, what was hidden, and what was logged — on data that never leaves your network.
An hour on a real deployment where they pick the tests — including trying to get data out. We do not choose the questions.
Why rules written into a prompt are only a request, and why the real limit has to sit outside the AI. Read it and judge for yourself.
Who's asking
Does our data leave?
Nothing can leave your network. There is a signed proof, and it is checked continuously.
Trust & security →Does it fit what we already run?
It runs where your data already lives. OpenAI-compatible, and any model you choose.
Precepta →Can we prove what happened?
A record of every step, which cannot be quietly changed later.
Trust & security →Does my team actually get faster?
One written intent, agreed before work starts, with the agents inside it.
Intent Studio →Procurement asks a fifth question — what am I buying, and what if you fail. Trust & security answers it, and nothing there is behind a form.
Why it compounds
You write down what you're trying to do, and who agreed to it. It executes inside your own boundary, and every step is recorded. Then it is judged — was it the right work, was it done cleanly, did it get the right result. What is learned goes back into what the organisation knows. So the next time, you start further ahead.
Without Limina Labs
Every use case is a new AI project.
With Limina Labs
Every completed piece of work strengthens the next.
Available today
Sections that follow the work, claim states with attribution, and a five-level autonomy dial set per workspace, intent type, risk class and agent.
Firewall, sensitivity, policy, redaction, routing, cache and audit — with a signed attestation and live egress probes.
Intent Studio runs over the models you already use. Precepta governs whatever agents you already run. Together they close the loop.
Not a feature demo. One real piece of work from your company: written down properly, run on your own servers, and recorded so you can go back and check exactly what happened. Nothing sits with us, and you can export all of it.