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SaaS Case Study

Keystone Software

An entity extraction system that automated data entry from unstructured documents.

+26%Feature Adoption
Keystone Software digitallyscaled
ClientKeystone Software
IndustrySaaS / Software
Timeline4 weeks
ServicesNatural Language Processing (NLP)
The Challenge

Where things stood before

When Keystone Software first reached out, a product experience that couldn't personalize or scale the way the market expected was the issue sitting at the top of their list.

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

Our approach focused on the root cause rather than the most visible symptom.

From there, an entity extraction system that automated data entry from unstructured documents, built specifically around what Keystone Software needed.

  • Structured so Keystone Software's own team could monitor and maintain it going forward
  • Delivered within a 4-week timeline without cutting scope
  • Built using Python and spaCy for a stable, maintainable foundation
  • Benchmarked against clear, agreed-upon success metrics from day one
Results

The impact, by the numbers

+26%
Feature Adoption
90.4%
Model Accuracy
-24%
Support Tickets
93.4%
Uptime
Tech Stack

Built with

PythonspaCyHugging FacePyTorch

“I was skeptical this would actually work for us specifically. But +26% feature adoption within a few months, and the process to get there was more thoughtful than I expected.”

PC
Petra Cavendish

Director of Strategy, Keystone Software

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