38%
Average downtime reduction
AI platform for industrial reliability
Unbox Engine at unboxengine.com deploys AI tools across rotating equipment, utilities, and process lines to detect anomalies early, reduce unplanned downtime, and optimize maintenance spend.
Average downtime reduction
Faster issue detection
Alert precision in production
Product spotlight
IndusAudio analyzes ultrasonic and acoustic machine patterns to detect bearing wear, cavitation, friction anomalies, and airflow instability in real time.
Industrial applications
Continuous vibration, acoustic, and thermal signal analysis to predict bearing wear, imbalance, and misalignment.
Track compressed air, HVAC, and utility loads to surface efficiency losses and hidden energy leaks.
Identify gradual process shifts that impact quality, throughput, and scrap before thresholds are breached.
Estimate time-to-failure for critical pumps, motors, and gearboxes to schedule maintenance proactively.
Automate defect and safety checks on conveyors and lines with real-time visual inspection models.
Rank maintenance tasks using risk, impact, and confidence scores so teams act on what matters first.
Platform modules
Ingest from PLCs, SCADA, historians, and IoT gateways.
Build baseline and anomaly models per asset family.
Generate ranked alerts with explainable root-cause cues.
Recommend actions, spares, and checklists for each event.
Deployment workflow
Select the top downtime drivers and map data sources in one workshop.
Deploy AI toolkits on one line or process cell to validate precision.
Standardize models, alerts, and maintenance playbooks across all facilities.
See how your team can cut downtime, extend asset life, and operate with confidence.
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