Thanks to artificial intelligence, our system learns to behave like your device

We create systems that can learn to behave like devices – even in cases where you have no information about their inner workings. Linking data collection with artificial intelligence allows you to create an exact digital twin of a real device. A big advantage is that during data collection and learning, production can continue in normal mode – without any interruptions or downtime. At the same time, it is possible to replace manual or semi-automatic processes based on monitoring their progress.

Replacing manual processes is usually divided into three main phases

1. Monitoring the manual process

• What was done (e.g., flipping a switch, opening a valve).
• Why was it done (e.g., high pressure, low temperature).
• When and in what state was the process?

2. AI assistant (semi-automatic control)

• AI monitors the process and evaluates situations.
• Suggests possible steps to the operator (e.g. "Reduce power, pressure is increasing").
• Parameters are adjusted automatically, but still under supervision.

3. Fully automatic control

• AI controls the process autonomously based on data from previous phases.
• It responds to sensor inputs, system status, and achieves target parameters.
• The operator has supervision and the possibility of manual intervention.

Main advantages

• You don't have to shut down the equipment - production continues.
• We don't require diagrams - we learn from real data.
• The output is a digital model that can predict and simulate.
• The consultation is free - we'll tell you if it makes sense to try it.

Application Examples

• Optimization of production processes.
• Replacement or simulation of older PLC systems or electronics.
• Automation of manual processes.
• Detection of faults and anomalies.