Everyone works from a different picture
People paste context into a chat assistant one at a time. Each person explains it their own way, nobody writes it down, and the gaps get filled with different assumptions.
Limina Labs
Teams and AI agents, solving real problems together.
AI agents can do real work. What stops them is not the model — it is that nobody wrote down clearly enough what to do, and nothing was watching what they did. We fix both. Your team and its agents agree the work first. Then every AI request follows your company's rules, with a record of what happened.
Intent Studio and Precepta, available now · Any model · Deploy both on your own infrastructure
The problem
Agents don't fail because models are weak. They fail because they assume.
Give an agent a vague task and it fills the gaps with guesses. Nobody sees the guesses. The work comes out confidently wrong, and it is usually found late.
One person starts, the team finds out later
Someone prompts a coding agent and it changes real things. The people who should have had a say see it afterwards, when undoing it costs more than agreeing would have.
The rules are written down, but nothing enforces them
AI rules live in a policy document. The AI never reads it. Nobody can see what the agents actually did, and company data can leave the building without anyone noticing.
This is not a small problem yet to be noticed. Gartner expects
more than 40% of agentic AI projects to be cancelled by the end of 2027.
IBM found that 97% of breached organisations with an AI-related incident had no
proper AI access controls.
Gartner, June 2025 · IBM Cost of a Data Breach Report, 2025
Gartner, June 2025 · IBM Cost of a Data Breach Report, 2025
What we do
One place where teams and AI agents agree before they act.
Two products. Intent Studio is where the work gets agreed. Precepta is what every AI request passes through. Buy either on its own, or both.
Where they run. Precepta only ever runs on your own infrastructure — there is no hosted version. Intent Studio is your choice: start on ours and sign up today, or deploy it in your own environment, where nothing leaves.
Intent Studio
Available nowAgree before you act
Your team and its agents build one shared understanding of a piece of work, settle it, then plan and act on it together. Every line shows who proposed it and who agreed. You set how much the agents may decide on their own.
Precepta
Available nowAI governance inside your company
You set the rules: which data is hidden, which models teams may use, and how much they may spend. Each call is checked against them and written down. Smart routing and caching bring the cost down. Works with the OpenAI API, so only the address changes.
Neither needs the other. Intent Studio works over the models you already use. Precepta governs whatever agents you already run. Together, what the team agreed and what the agents did are the same record.
How it works
Four steps. Then round again, as often as the work needs.
Where it fits
Other tools solve part of this. None of them solve it together.
Chat and coding agents
They act on one person's prompt, in someone else's cloud. Fast for that person. The rest of the team finds out afterwards.
Team tools with AI added
Shared documents and tickets, with AI on top. Good for writing things down. They do not settle what the work actually is before an agent starts on it.
AI gateways and governance tools
They filter or record AI traffic. Useful, and necessary. But they sit outside the work, so they never see what the team meant to do.
What is different here.
Agents act on what the whole team agreed, not on one person's prompt. The place where the
work is agreed and the thing that governs the AI are the same system — so what was decided
and what happened sit in one record. And both can be deployed inside your own environment,
which none of the tools above offer.
Who's asking
Four people have to say yes. Any one of them can say no.
CISO
Does our data leave?
No. It runs on your servers, and there is a signed proof that nothing left.
Trust & security →CIO
Does it fit what we already run?
It runs where your data already lives, over any model you choose.
Precepta →Compliance
Can we prove what happened?
Every step is recorded, and the record cannot be quietly changed later.
Trust & security →The team
Does this actually help us?
The work is agreed once, properly, before anyone or anything starts on it.
Intent Studio →Why it adds up
Models get cheaper every year. What your company knows should get more valuable.
The model is rented, and easy to swap. What should not be swappable is what your company is trying to do, what it is allowed to do, and what it has learned. Today that lives in people's heads, in prompts copied between tools, and inside someone else's software — so you do not really own it.
The model — you rent it
- A better one arrives every few months
- The price keeps falling
- It can change without warning you
- It is worth less every year
The record — you own it
- What you asked for, and who agreed
- The rules the AI cannot talk its way around
- What happened, still checkable a year later
- It is worth more every year
Bring one real piece of work. We will show you it running.
Not a feature demo. Something your team is actually working on: agreed 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.