AI and copilots
Ask questions, detect patterns, and support decisions using AI that knows your machines, your shifts, and your production history.
Typical results
Production generates more data than any person can review. The patterns that matter get buried in volume: a gradual cycle time drift, a correlation between humidity and scrap rate, a shift that quietly outperforms. AI doesn't get overwhelmed. It watches everything, all the time, and tells you what matters.
See capabilities
Every recommendation is traceable. Every insight links to real data. No black boxes, just evidence.
Type a question in plain language and get an answer drawn from your production data. "What caused the most downtime last week?" "Which line had the best OEE this month?" No query language, no analyst needed, just the answer.
AI scans across machines, shifts, and time periods to surface correlations that are invisible in manual review. A slow drift in cycle time that predicts a breakdown. An energy pattern that signals a worn tool. The system flags it before it becomes a problem.
Every AI insight links back to the underlying data. No black boxes. When the copilot suggests focusing on a specific machine or shift, you can drill into the exact numbers and timeline that support the recommendation.
AI enhances the reports you already generate, adding summaries, anomalies, and recommendations.
AI detects patterns in sensor data that signal wear, waste, or emerging failures.
Ask the copilot to explain OEE drops and suggest where to focus improvement efforts.
