SaaS Case Study
Quiverfield Software
A vector database implementation that significantly improved search relevance.
+31%Feature Adoption
The Challenge
Where things stood before
When Quiverfield 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.
The problem was quietly getting more expensive to ignore every month it went unaddressed.
The Solution
What we built
Our approach focused on the root cause rather than the most visible symptom.
From there, a vector database implementation that significantly improved search relevance, built specifically around what Quiverfield Software needed.
- Built using Pinecone and Weaviate for a stable, maintainable foundation
- Structured so Quiverfield Software's own team could monitor and maintain it going forward
- Delivered within a 9-week timeline without cutting scope
- Designed around Quiverfield Software's actual data and workflow, not a generic template
Results
The impact, by the numbers
+31%
Feature Adoption
90.0%
Model Accuracy
-46%
Support Tickets
97.3%
Uptime
Tech Stack
Built with
PineconeWeaviatePythonOpenAI Embeddings
Rimlight Financial
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