The use case: how Obviant deploys Pinecone
Obviant, a defense market intelligence platform, uses Pinecone to store sparse and dense vectors and run hybrid, cascading retrieval across government data sources. This powers its recommendations of relevant content for defense acquisition decision-makers.
More reported results
Figures published in Pinecone’s case study. They are not independently measured by usedby.
<50ms P50 latency with 40 QPS in production
More than 120 million sparse and dense vectors indexed across dozens of namespaces
In the customer’s words
Our goal has always been to get decision-makers closer to the signal. Pinecone enables that by helping us cut through the noise, fast.Pinecone users in Data & Analytics
Companies in the same sector, with public evidence.
See all Pinecone customers
Go straight to the source
Based on Pinecone’s published case study. We check the public evidence; the results are reported by the vendor.
pinecone.io- Last checked
- Oct 8, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 30%Checked
The figure is on the page; its label is our wording.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Obviant.
- Obviant uses PineconeChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
With hybrid sparse-dense retrieval and a cascading architecture in place, Obviant saw a 30% increase in the relevance of recommended content, making it easier for users to find what they needed faster and with greater confidence.