# How Ardabelle uses Dust

**5+ hours**: “5+ hours saved per analyst per week”

As published on [dust.tt](https://dust.tt/customers/how-ardabelle-became-europes-first-ai-native-private-equity-fund), October 2025. Captured by usedby on 2026-10-24.

- Company: [Ardabelle](https://www.usedby.ai/companies/ardabelle.md)
- Tool: [Dust](https://www.usedby.ai/tools/dust.md)
- Industry: [Investment & VC](https://www.usedby.ai/companies/industry/investment-vc.md)
- Teams: Knowledge Management, Finance, Data

## 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.

Summary written by usedby from the source page, in English. The figures are those of Dust and Ardabelle, not ours.

> 5+ hours saved per analyst per week: Time is now spent on analysis rather than information archaeology

- **30-40%**: “30-40% faster investment memo production”
- **150+**: “150+ AI queries per analyst per week”
- **50%**: “Ardabelle can now evaluate 50% more deals in the same timeframe”

> 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.
>
> Eric Hazan, Founding Partner, Ardabelle

Source: [dust.tt](https://dust.tt/customers/how-ardabelle-became-europes-first-ai-native-private-equity-fund), captured 2026-10-24.

## Dust users in Investment & VC

- [Apiday](https://www.usedby.ai/companies/apiday.md) — Confirmed

## What usedby checked

We compared the story with its live page on 2026-10-24.

- Checked: the figure 5+ hours is printed word for word on the page, near the name of Ardabelle.
- Checked: the passage quoted above is copied word for word from the page, near the name of Ardabelle.
- Checked: the publication date is read from the page’s own metadata, never guessed.
- Checked: Ardabelle uses Dust. Confirmed line. Latest check across sources: 2026-10-24.
- Not checked: the result itself. We quote it; we did not measure it.

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Source: https://www.usedby.ai/case-studies/how-ardabelle-became-europes-first-ai-native-private-equity-fund-b7b9b0d1 · How we check: https://www.usedby.ai/methodology