Manufacturing Case Study
Tidewell Industries
A vector database migration that scaled to handle a much larger document set.
-44%Downtime
The Challenge
Where things stood before
Before working with us, Tidewell Industries was dealing with limited visibility into production issues until they'd already become expensive, and it was starting to cost them real business.
Their team suspected AI could help but weren't sure where to actually start.
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 vector database migration that scaled to handle a much larger document set, built specifically around what Tidewell Industries needed.
- Built using Pinecone and Weaviate for a stable, maintainable foundation
- Benchmarked against clear, agreed-upon success metrics from day one
- Validated thoroughly before deployment to avoid production surprises
- Delivered within a 10-week timeline without cutting scope
Results
The impact, by the numbers
-44%
Downtime
+29%
Defect Detection Rate
-31%
Inspection Time
+52%
Throughput
Tech Stack
Built with
PineconeWeaviatePythonOpenAI Embeddings
Quiverfield Software
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