73%
Defect Reduction
AI-powered quality control that catches defects before they happen, saving thousands in rework costs.
73%
Defect Reduction
£180K/yr
Scrap Cost Savings
85%
Inspection Time Saved
The Problem
Manual quality inspection on production lines is slow, inconsistent, and catches defects too late—leading to costly rework, wasted materials, and customer complaints.
The Solution
An AI agent that monitors production data in real-time, predicts defects before they happen, and flags anomalies instantly—reducing scrap rates and improving first-pass yield.
Monitors sensor data from production equipment in real-time
Identifies patterns that precede quality failures
Alerts operators before defective batches are produced
Generates shift-level quality reports automatically
Learns continuously from new production data
Integrates with existing MES and ERP systems
Mapped the client's entire quality control workflow across 3 production lines
Integrated AI with existing PLC and sensor infrastructure—no hardware changes needed
Trained the model on 18 months of historical defect data
Deployed a real-time dashboard accessible from the factory floor
Achieved full ROI within 4 months of deployment
We went from catching defects at end-of-line to preventing them entirely. Our scrap rate dropped by 73% in the first quarter.
Operations Director
Every deployment is tailored to your systems, data, and workflows. Let's discuss how we can build this for you.