SLEM - Self-learning and self-explanatory machine

Intelligent, adaptive assistance system for machine operation and maintenance.

Self-learning

SLEM learns process sequences from user and machine data automatically using current AI algorithms. Thus, no manual programming is required for application in new scenarios.

 

 

Self-explanatory

SLEM provides a user interface that responds adaptively to the current situation and provides optimal feedback to the user. The feedback is adapted to the operator's needs according to the process.

User centricity

SLEM is designed and developed with the needs of the user in mind. The focus is on the user experience of the system, which has a significant impact on the efficiency and satisfaction of the user.

 

 

Wide range of application scenarios

SLEM can be used in a variety of application scenarios. For example, the commissioning of a special machine or the execution of a complex process by an untrained employee can be supported.