The use case: how Ardabelle deploys Dust
Ardabelle, a Paris-based private equity fund, uses Dust agents on top of its Notion knowledge base to search deal documents with source citations, monitor potential investment targets and update databases automatically, and give each analyst a personalized agent that adapts to their working style.
More reported results
Figures published in Dust’s case study. They are not independently measured by usedby.
30-40% faster investment memo production
150+ AI queries per analyst per week
Ardabelle can now evaluate 50% more deals in the same timeframe
In the customer’s words
The transformation isn't just about speed—it's about leveraging our collective intelligence. An insight from an expert call doesn't just inform one deal anymore; it becomes part of our institutional knowledge that benefits every future analysis.Dust users in Investment & VC
Companies in the same sector, with public evidence.
See all Dust customers
Go straight to the source
Based on Dust’s published case study. We check the public evidence; the results are reported by the vendor.
dust.tt- Source published
- Oct 17, 2025
- Last checked
- Oct 24, 2026
Open source capture What the story claims, and what we checked
What we compared with the page.
- The figure: 5+ hoursChecked
Printed word for word on the page, near the name of Ardabelle.
- The passage quoted aboveChecked
Copied word for word from the page, near the name of Ardabelle.
- The publication dateChecked
Read from the page’s own metadata, never guessed.
- Ardabelle uses DustChecked
Confirmed line.
- The result itselfNot checked
We quote it; we did not measure it.
5+ hours saved per analyst per week: Time is now spent on analysis rather than information archaeology