A close view of machined metal with a fine fracture interrupting its concentric tool marks

Keep a small fault from taking the line down

A change in vibration. A defect repeated across a batch. A machine that cannot meet the next shift’s plan. Semogram helps production teams examine those signals together and decide where attention is needed before the cost travels down the line.

AI-generated manufacturing scene

Give maintenance time to respond

Flag assets that may need attention using sensor history and maintenance records, with the signals behind the warning

Find the pattern behind a bad batch

Compare defects with production and inspection conditions to investigate possible causes

Build a plan the line can meet

Use throughput forecasts to examine scheduling choices and likely production constraints

Turn inspection findings into priorities

Classify defect types across product lines so quality teams can review recurring problems

Define what a better outcome looks like

Which early signals are worth acting on before the next stoppage?

Start with a fair comparison
Compare warnings with the current maintenance approach for a defined asset group, using only signals that preceded each event
Keep the decision in view
Review the source readings and inspection history, then record the maintenance or quality action chosen by the team
Measure the result
Track missed failures, false alarms and warning lead time. Assess downtime, scrap and rework separately to understand whether the actions helped
Plan your first evaluation ↗
PLC DataVision SystemsIngestionMaintenanceQuality ControlOptimizationProduction