Manufacturing Case Study
Landmark Industries
A fine-tuned model deployed with guardrails for a customer-facing use case.
-28%Downtime
The Challenge
Where things stood before
Landmark Industries's biggest obstacle was limited visibility into production issues until they'd already become expensive — something their team had tried to patch more than once without lasting success.
It was the kind of issue that showed up in day-to-day frustration long before it showed up in a report.
The Solution
What we built
Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.
From there, a fine-tuned model deployed with guardrails for a customer-facing use case, built specifically around what Landmark Industries needed.
- Built using Hugging Face and PyTorch for a stable, maintainable foundation
- Structured so Landmark Industries's own team could monitor and maintain it going forward
- Benchmarked against clear, agreed-upon success metrics from day one
- Validated thoroughly before deployment to avoid production surprises
Results
The impact, by the numbers
-28%
Downtime
+20%
Defect Detection Rate
-42%
Inspection Time
+30%
Throughput
Tech Stack
Built with
Hugging FacePyTorchLoRAPython
Innerlight Software
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