The use case: how Kepler deploys turbopuffer
Kepler, which builds verifiable AI for investment firms and financial analysts, indexes SEC filings, earnings transcripts, IR presentations and customers' private documents in turbopuffer. It runs hybrid vector and full-text search over them so each figure in its outputs can be traced to a source document.
More reported results
Figures published in turbopuffer’s case study. They are not independently measured by usedby.
85ms p90 latency
940ms p99 latency
1.2s max latency
100M+ documents
In the customer’s words
turbopuffer is how we search the long tail of our corpus without spending an outrageous amount.Other companies using turbopuffer
Customers across industries, with public evidence.
See all turbopuffer customers
Go straight to the source
Based on turbopuffer’s published case study. We check the public evidence; the results are reported by the vendor.
turbopuffer.com- Last checked
- Nov 12, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 10xChecked
Printed word for word on the page, near the name of Kepler.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Kepler.
- Kepler uses turbopufferChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
Kepler searches terabytes of public and private financial documents at 10x lower cost than capacity-based alternatives.