SaaS Case Study
Innerlight Software
A fine-tuned model that captured brand voice far better than prompting alone.
+43%Feature Adoption
The Challenge
Where things stood before
Innerlight Software came to us with a problem that had been building for a while: a product experience that couldn't personalize or scale the way the market expected.
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 fine-tuned model that captured brand voice far better than prompting alone, built specifically around what Innerlight Software needed.
- Delivered within a 10-week timeline without cutting scope
- Validated thoroughly before deployment to avoid production surprises
- Built using Hugging Face and PyTorch for a stable, maintainable foundation
- Designed around Innerlight Software's actual data and workflow, not a generic template
Results
The impact, by the numbers
+43%
Feature Adoption
95.2%
Model Accuracy
-17%
Support Tickets
93.4%
Uptime
Tech Stack
Built with
Hugging FacePyTorchLoRAPython
Junipoint Financial
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