Finance Case Study
Fallcrest Capital
A production optimization model that improved throughput on a key line.
-15%False Positives
The Challenge
Where things stood before
When Fallcrest Capital first reached out, manual review processes that were both slow and inconsistent was the issue sitting at the top of their list.
It wasn't a small fix — the underlying approach needed to change, not just the surface.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
What we ultimately delivered was a production optimization model that improved throughput on a key line, built specifically around what Fallcrest Capital needed.
- Validated thoroughly before deployment to avoid production surprises
- Benchmarked against clear, agreed-upon success metrics from day one
- Structured so Fallcrest Capital's own team could monitor and maintain it going forward
- Designed around Fallcrest Capital's actual data and workflow, not a generic template
Results
The impact, by the numbers
-15%
False Positives
-48%
Review Time
+32%
Detection Accuracy
94.0%
Model Explainability Score
Tech Stack
Built with
PythonPyTorchOpenCVMQTT
Cyphergate Commerce
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