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Manufacturing & Production
AidEun analyzes sensor data, procedures, and inventory to cut downtime and scrap.
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Why did Line 2 defect rate spike between 10:00-11:00 today?
Analysis shows temperature sensor T-204 exceeded 85°C at 10:15 AM, correlating with 23% defect increase. Cooling system pressure dropped to 2.1 bar (normal: 3.2 bar). Recommend immediate inspection of pump P-102 and filter replacement...
Create visual work instructions for product changeover from Model A to B
Tailored solutions for the entire team.
Production Manager
Your Production Optimization Co-pilot
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Quality Engineer
Your Automated Quality Guardian
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Plant Director
Your Strategic OEE Enabler
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How AidEun delivers value every day.
Anomaly Alerts
Detect and explain deviations with likely root causes.
Digital Work Instructions
Step-by-step procedures with images and torque specs.
Inventory Answers
“Do we have parts for work order 456?” with ETA.
Root Cause Analysis
Analyze sensor data to find the root cause of a production issue.
"AI in manufacturing can improve productivity by up to 25% and reduce defects by 50%."
- Industry Research
"Predictive maintenance can reduce machine downtime by 30-50%."
- Industry Research
ROI You Can Measure
Scrap rate
-12–20%
Mean time between failures
+15%
See how much you could save with our tailored calculator.
Why did defect rate spike on Line 2 between 10:00–11:00? Show related sensors.
Create a visual SOP for product changeover from A to B.
What is the current inventory level for part #XYZ-123?
Start saving time, improving productivity, and delighting your customers today.