Finding the opportunity · Checking the data
We pick the work where AI pays off most, then check whether the data to train it actually exists.
- Choosing candidates Work heavy with repeated decisions and waiting, ranked by expected gain and difficulty
- Data check Judging trainability from the quality and labelling of equipment and business system data
- Data collection Equipment connected over industrial protocols (OPC-UA, Modbus, MQTT), operating data organised












