Built for GDPR EU AI Act NIS-2 DORA
Own Your Intelligence.
AI workers on your own infrastructure. Built for regulated European companies.
We find the work worth automating, build it into workers, and run them behind the Kyde Zero Trust layer. Your environment, your models, your record.
On-premise · Private cloud · EU-hosted
Open models · Open standards · Your systems
The knowledge is already there. We capture it.
Your best processes live in people's heads: the claim that gets assessed a certain way, the supplier document that gets checked twice, the step everyone does and nobody wrote down. Every automation project starts by guessing how the work happens and where the knowledge lives. This one starts by capturing both, and turns it into workers you own.
Start with the work, not the AI.
We capture the work and the intelligence behind it: screens, decisions, tool calls, approvals, documents, rules and exceptions. Structured for AI, so workers can use what your company already knows, down to the edge cases no handbook covers. Personal data is removed locally, before anything is stored.
The right automation for each step.
Code where the steps are fixed. An AI worker where judgement is needed. A person where the decision carries weight. The worker is built from how your company already works, not from an assumption about how it should, and it stops instead of guessing when it meets something it has not seen.
One worker at a time. One workforce over time.
It runs in your environment, on open models, under an identity of its own. You see what it did and what it handed back. Then the next process, and the one after that.
What can AI take over today?
We assess the real work with the people who do it, step by step, and show you what an AI worker can take over, what can be turned into code, what is not reliable enough yet, and what belongs with your people. For every step that is not ready, you get the reason and the person who can change it.
FIG.1 · One process area. Filled is work a worker can take, open is work that stays with a person. Illustrative.
Judgement and variable work.
Probabilistic
Work where the right answer depends on reading the situation: a customer's tone, a claim that does not look like the others, a supplier mail that ignores the template. An AI worker handles these, and we measure it against cases where your own outcome is already on record.
Fixed, repeatable work.
Deterministic
Work where the steps are fixed. Converting the document, reconciling two lists, moving the field from one system into the next. An AI worker writes that code during the build, and then the code runs, not the model. It runs the same way every time and costs almost nothing to run.
Not reliable enough today.
We keep testing
Work that needs something which does not exist today: a model that can hold the whole case, an interface into a system that has none, an MCP server nobody has shipped. These stay in your library and we keep testing them against what has landed since. When one comes free, you hear about it.
Start your audit.
One process area and the infrastructure behind it. Three days for a team, two weeks for a department. Fixed price, credited against your first automation project.
FIG.2 · Ten steps in, four states out.
The same infrastructure controls every action, protects sensitive data and keeps a verifiable record, whether the worker runs on an open model, a private model or a system you already use. On-premise or in your private cloud, and the record leaves your building only when you send it.
- IdentityEvery action carries a name before it happens
- PolicyEnforced before the action executes, not in a report afterwards
- DataSensitive fields masked inline, before they reach a model
- LimitsHeld over time, not per call. Coming soon.
- EvidenceHash-chained at the boundary, recomputed by your auditor without us
Every worker runs on Kyde Zero Trust.
The automation layer and the control layer are built together. You are not buying an agent platform and a security product and hoping they meet.
Explore Kyde Zero Trust →Start with one process
One process today.
A workforce tomorrow.
Find one process. Build the worker. Run it. Then take the next one. Your models and your vendors will change. The record stays yours.