The companies winning with AI didn’t buy a better model.
They built the context layer first.
For €1M+ operations-heavy companies whose leadership can’t get a straight answer out of their own data. We build the layer that lets you talk to it.
See it on your own data →
Your company already knows the answer.
It’s just scattered across ten places.
The numbers live in the ERP. The context lives in the CRM. The exceptions live in spreadsheets, in email threads, and in the heads of three people who know how it really works. No model can answer across all of that, because no model can reach it.
So leadership can’t get a straight answer without a week of analyst work — and by the time the report lands, the decision has already been made on gut feel. Speed and confidence both suffer.
A smarter model won’t help.
Another dashboard won’t either.
The bottleneck was never intelligence. It’s context and governance — getting the right data, with the right permissions and the right definitions, to the question being asked. Fix that and a good model is already good enough.
The context layer, in four phases.
Connectors, permissions, semantic modeling, and a trustworthy interface — the parts a model vendor doesn’t ship.
Governed connectors
We wire up the real systems — ERP, CRM, spreadsheets, internal tools — through MCP. Permission-aware from day one, so people only ever see what they’re allowed to.
Semantic layer + business glossary
We define what “revenue,” “active customer,” and “margin” actually mean for your business — once — so every answer stays consistent no matter who asks.
Natural-language interface
Leadership asks in plain language and gets cited, traceable answers. Every number links back to its source, so you can trust it without a second opinion.
Handoff + optional retainer
Your team owns the layer. We hand it over clean, and stay on to maintain and extend it only if you want us to.
We run agent-ops in production across our own SaaS portfolio — the same MCP connectors, permissions, and semantic plumbing this layer is built from.
That’s integration and trust-UX experience model vendors don’t bring. The moat here isn’t the model — it’s the connectors, the permissions, the modeling, and the interface people actually believe. That’s the part we’ve already shipped.
Built for a specific kind of company.
- → €1M+ in revenue, operations-heavy
- → Multiple disconnected systems — ERP, CRM, sheets, email
- → Leadership that wants answers, not another report to read
- → Decisions that currently wait a week on analyst time
If your data already lives in one clean warehouse and your team can query it themselves, you don’t need this — and we’ll tell you so on the call.
Talk to your own data.
One call to see whether the context layer is the thing standing between your leadership and a straight answer.
See it on your own data →Six questions. Then we show it answering yours.
What's your seat at the agency?
If a system knew everything your agency knows, what would you ask it first?
When that question goes unanswered today, what does it cost you?
Where does your agency’s memory actually live?
Pick all that apply.
How many people need to find things they don’t already know?
Want to see it answer your question on your own agency’s data?
Drop your email and tell us the one account where this hurts most.
No spam. We reply within one working day.
We’ll show it answering your question.
Check your inbox — we’ll be in touch within one working day to set up a walkthrough on your own data.
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