SaaS Case Study
Trueline Software
A classification model built around a highly specific, proprietary dataset.
+40%Feature Adoption
The Challenge
Where things stood before
Before working with us, Trueline Software was dealing with a product experience that couldn't personalize or scale the way the market expected, and it was starting to cost them real business.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
We started by getting a clear picture of exactly where things were breaking down before proposing anything.
The result was straightforward: a classification model built around a highly specific, proprietary dataset, built specifically around what Trueline Software needed.
- Structured so Trueline Software's own team could monitor and maintain it going forward
- Delivered within a 4-week timeline without cutting scope
- Built using Python and PyTorch for a stable, maintainable foundation
- Validated thoroughly before deployment to avoid production surprises
Results
The impact, by the numbers
+40%
Feature Adoption
91.4%
Model Accuracy
-18%
Support Tickets
92.6%
Uptime
Tech Stack
Built with
PythonPyTorchscikit-learnMLflow
Underpass Health
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