Real-time AI
Defect reduction
Real-time AI detection of scrap anomalies
The module continuously analyzes scrap data from TPM&M and Analytics, learns the normal behavior of each series (SSA, CUSUM) and recognizes an anomaly - a sudden spike, a slow creep or their combination. The alert reaches the right person with context (where, when, how far above normal, how confident) before the impact grows to full size. Before deployment the model replays your history (backtest), so we tune the sensitivity to fit. The module is now in pilot operation, with release planned for summer 2026.
Real-time detectionSpike and slow creepContext-rich alertsBacktest on history
Learn more → Live alert · Welding shop
⚡ Alert sent to the foreman · 13:27
Now in pilot operation, with release planned for summer 2026.