Industrial AI. Feet firmly on the factory floor.
Seeing breakdowns coming, reducing rejects and helping technicians find the right answer at 03:00. That is what AI can deliver in a factory, at a machine builder or in a warehouse. No promises of miracles: reliable data first, then a measurable application.
Where AI works today.
Spotting anomalies.
Compare vibration, temperature or current against normal behaviour. The maintenance team assesses the alert; an anomaly does not prove a fault.
Flagging quality risks.
Compare process measurements with known quality results. Test on new batches first, then use it to inform decisions.
Helping operators and technicians.
Make manuals and fault histories searchable, with references to the source. For warehouse machinery and equipment too.
Industrial AI and Physical AI: not the same thing.
Industrial AI is artificial intelligence applied to industrial processes: analysing machine data, flagging quality risks or supporting maintenance teams, for example. A dashboard or standard PLC logic is not AI in itself.
Physical AI refers to AI systems that perceive their physical surroundings, reason about them and act within them, such as autonomous robots. The terms overlap, but AI that advises an operator is not automatically Physical AI.
Vlegel builds the software and data layer for the physical world. Our Industrial AI reads data under controlled access and offers advice; a human decides. We do not claim to provide autonomous robot control, and we do not connect AI directly to your machine control system.
Our four rules.
Never directly on the machine.
AI offers advice. Control stays with your processes and your people.
The data layer is the barrier.
A UNS organises your data; a semantic model gives it meaning. Where useful, we make that data available through a read-only MCP-server, with access permissions and logging. MCP alone does not make an application safe.
A human signs off.
Every decision with an impact gets a name and a signature.
No unsupervised chatbots.
We do not build assistants that answer customers or operators without oversight.
Frequently asked.
+What is the difference between Industrial AI and Physical AI?
Industrial AI describes the application area: AI in industry. Physical AI describes systems that perceive and act in the physical world, such as autonomous robots. An industrial advisory assistant is therefore not automatically Physical AI.
+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 a lot of data to get started with AI?
That depends on the application. A document assistant needs useful source material; a predictive model also needs representative process data and known outcomes. We check what is available first. Sometimes a simple rule or dashboard is a better starting point.
+What is an MCP-server?
An MCP-server uses Model Context Protocol to give AI access to sources or tools. MCP can also provide tools that write data. At Vlegel, we limit industrial AI to read-only access, with explicit permissions and logging.
+Does our data stay ours?
Yes. Your data stays yours, on your own infrastructure or in the cloud of your choice.
