Manufacturing Process AI
Read signals before defects occur.
An AI agent that reduces manufacturing site losses through equipment anomaly prediction, video-based visual inspection, and yield cause tracking.
Site Problems
You are likely doing this now
- Equipment anomalies are found only after stoppage
- Inspection standards differ by inspector
- The cause of reduced yield cannot be identified even afterward
What It Does
What the agent handles
Equipment Anomaly Prediction
It finds patterns in sensor trends that differ from normal and alerts before stoppage.
Visual Inspection
It judges defects from video and removes variation between inspectors.
Yield Cause Tracking
It connects process variables with defect rates and identifies the conditions under which performance worsened.
Work Standard Review
It records differences between standard work and actual work, leaving points for improvement.
Expected Effects
What changes
- Unplanned stoppage
- -40%
- Inspection variation
- Resolved
- Cause identification
- Same day
After measuring with real data during the pilot period, we reset the targets.
Adoption Flow
Implemented in four steps
- 1
Connect equipment data
- 2
Learn normal ranges
- 3
Verify one line
- 4
Expand lines
Other Industries
How other sites use it
Check whether it works for your site
We first check what is possible with the data you are already accumulating.