Condition monitoring made explainable and transparent

Engineers need decision support they can trust. In Visplore, operators monitor unwanted conditions by marking up (un)wanted example events, drawing reference corridors for ramp-up patterns, or building explainable prediction models.
Maintenance engineers in power generation save costs by early detection of wear, such as overheating bearings, leaking boilers or clogging pipes – by our easy-to-use workflow for extracting and comparing patterns from time series.