AI with both feet on the factory floor.
No glowing brains. Just models that spot anomalies, support operators and give your experts time back. Always built on a solid data layer.
Our four rules.
Never directly on the machine.
AI advises. Your process and your people stay in control.
The data layer is the barrier.
AI only sees what the data layer exposes: a UNS with a semantic model, accessed through an MCP-server. Your process stays protected.
A human signs off.
Every decision with an impact gets a name and a signature.
No unsupervised chatbots.
We don't build assistants that answer customers or operators without oversight.
Where AI works today.
Spot anomalies.
Vibration, temperature or current behaving differently from normal.
Predict quality.
Know which batch is at risk before it reaches the lab.
Unlock knowledge.
Manuals and fault histories your technicians can search.
Frequently asked.
+Do you put AI directly on our machines?
No. AI never controls a machine itself. The data layer sits in between, and a human decides.
+Do we need lots of data to get started with AI?
Less than you think. We start with the data your machines already generate and build from there.
+What is an MCP-server?
An MCP-server (Model Context Protocol) gives AI controlled, read-only access to your data. AI asks, the data layer decides what it can see.
+Does our data stay ours?
Yes. Your data stays yours, on your own infrastructure or in the cloud of your choice.
