Unplanned Downtime
Reactive maintenance costs orders of magnitude more than predictive intervention.
Industries · Industry 03
Stop Reacting to Failures. Start Predicting Them.
Predictive maintenance, computer vision QC, operational anomaly detection, and energy optimization. AI that sits beside your existing SCADA, MES, and ERP layers.
The challenges
Where teams in industrial lose time and signal today.
Late Defect Detection
Defects caught at the end of the line have already consumed materials and labor.
Operational Data Silos
Sensor, MES, and ERP data live in separate systems that never speak to each other.
What we build
Capabilities tuned for the vertical, deployed on your stack — cloud or on-prem.
Predictive Maintenance
Vibration, thermal, and acoustic models predict failure windows.
Computer Vision QC
On-line defect detection at production speed.
Operational Anomaly Detection
Cross-stream pattern detection across sensors and MES events.
Energy Optimization
Load forecasting and recipe-aware scheduling reduce kWh per unit.
In practice
A mid-volume parts manufacturer added vibration-based predictive maintenance to twelve critical assets.
Before
Six unplanned stoppages per quarter on the monitored line.
After
Predictive alerts triggered service windows. Unplanned stoppages dropped to one in the following quarter.
Metric Before After
Unplanned stoppages 6 / quarter 1 / quarter
Mean time to detect After failure Hours ahead
Spare parts logistics Reactive Pre-staged
Integrations
We meet your existing systems where they are.
SCADAMESERPOPC-UAModbusEdge GPU
Get started
Bring AI to your industrial operation.
Cloud, onsite local or both. We reply to sales questions within 4 business hours.