Manufacturing Case Study
Fallowgate Group
A quality inspection vision system that caught defects a manual process missed.
-23%Downtime
The Challenge
Where things stood before
Before working with us, Fallowgate Group was dealing with limited visibility into production issues until they'd already become expensive, and it was starting to cost them real business.
It wasn't a small fix — the underlying approach needed to change, not just the surface.
The Solution
What we built
Rather than jumping straight to a fix, we spent time understanding the specific shape of the problem first.
What we ultimately delivered was a quality inspection vision system that caught defects a manual process missed, built specifically around what Fallowgate Group needed.
- Built using Python and PyTorch for a stable, maintainable foundation
- Benchmarked against clear, agreed-upon success metrics from day one
- Structured so Fallowgate Group's own team could maintain it going forward
- Tested thoroughly before launch to avoid post-launch surprises
Results
The impact, by the numbers
-23%
Downtime
+28%
Reporting Accuracy
-24%
Maintenance Response Time
+26%
Throughput
Tech Stack
Built with
PythonPyTorchNode.jsMQTT
Grovemont Group
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