Industries
Industrial intelligence across manufacturing
Four sectors, and the same three questions in each: why did it stop, where did the output go, and what is about to fail.
Automotive & Auto Components
Lines where takt time is the schedule and a single stopped station is felt everywhere downstream.
- Machine health
- Predictive maintenance
- OEE
- Quality inspection
- Production analytics
Discrete Manufacturing
Mixed products and frequent changeovers, where the loss hides in the difference between planned and actual.
- Machine monitoring
- Downtime reduction
- Production intelligence
- Quality analytics
Process Manufacturing
Continuous operations where equipment condition, throughput and energy are the same conversation.
- Equipment monitoring
- Process analytics
- Predictive maintenance
- Energy intelligence
Heavy Engineering
Large, long-lived assets where a failure is expensive to fix and more expensive to be surprised by.
- Asset health
- Condition monitoring
- Predictive maintenance
- Operational analytics
Use cases
Where people start
Almost nobody arrives asking for industrial AI. They arrive with a line that keeps stopping, or a number they cannot explain.
Reduce Downtime
- Detect
- Diagnose
- Predict
- Prevent
Catch the machine changing before it stops, and give maintenance somewhere to start when it does.
- Machine monitoring
- Anomaly detection
- Failure prediction
- Maintenance recommendations
Improve OEE
- Measure
- Analyze
- Optimize
Account for the gap between what the line could have made and what it made, one loss at a time.
- Availability
- Performance
- Quality
- Downtime
- Production losses
Improve Machine Health
Read several signals together, because a bearing going is visible in vibration, temperature and current before it is visible in output.
- Vibration
- Temperature
- Current
- Pressure
- Power
- Multi-parameter monitoring
Improve Quality
Inspect every part at line speed rather than a sample after the fact, and watch the process that produced it.
- Computer vision
- Defect detection
- Automated inspection
- Process monitoring
Optimize Energy
Attribute consumption to the machine that used it, so an abnormal load is a finding rather than a line on a bill.
- Machine-level monitoring
- Consumption analytics
- Abnormal usage detection
- Energy optimization
Your sector is not on the list?
The list is where we have done the most work, not the limit of it. If you have machines, stoppages and a number you are judged on, the conversation is the same one.