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Case Study · Manufacturing

AI-driven quality automation on the plant floor

Representative engagement — client anonymized.

25%
fewer escaped defects
Hours
saved on inspection daily
Real-time
line visibility
The challenge

A manufacturer relied on manual inspection that missed defects and slowed throughput, with machine data going largely unused.

Our approach

We built a data pipeline from plant sensors and applied computer-vision and ML models for defect detection, with human-in-the-loop review and dashboards for line supervisors.

Services used

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