HomeBest for AI agents & automationDust
Ranked #9 · Best for AI agents & automationFree trialPer-seat plans

Dust

Agents and people working from the same company context — not isolated chat windows.

7.2
BlipRadar Score
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Standout features

Dust’s pitch is “multiplayer” AI: agents that read the same documents employees read, act across the same tools, and can be audited like software.

01
Standout feature

Multiplayer agents

shared context, notifications and goals across teams — not single-player chat.

02
Standout feature

100+ data sources

connects Slack, Salesforce, Notion, GitHub and Google Drive for grounded answers.

03
Standout feature

Memory & feedback loops

agents improve over time from real team workflows.

04
Standout feature

Enterprise governance

granular permissions, cost tracking, audit trails and analytics.

How it scores
Last reviewed 9 June 2026
Output quality
7.4
Value for money
6.9
Ease of use
7.2
Reliability
7.0
Ecosystem
7.1
Momentum
7.2
Weighted total 7.2 / 10 · scored on blipradar's public rubric. How we score →
Interest over time

Worldwide search interest, indexed 0–100 · Google Trends.

The verdict

Dust is an enterprise AI platform built around shared, multiplayer agents.

  • Founded in 2023 by Gabriel Hubert and Stanislas Polu (ex-Stripe, ex-OpenAI), based in Paris.
  • Raised a $40M Series B in 2026 led by Sequoia and Abstract (~$61M total).
  • 3,000+ organisations, ~40–50k monthly active users, 300,000+ agents deployed, zero churn in 2025.
  • “Multiplayer” shared-context model differentiates it from single-user assistants.
Bottom line: a strong enterprise pick when agents need shared company context and governance.

Dust is built for company-wide agent collaboration.

  • Agents share context across teams.
  • Connects 100+ enterprise data sources.
  • Built-in memory and feedback loops.
  • Permissions, audit trails and usage analytics.

Trial then per-seat enterprise pricing.

Free trialtest the platformFree
Proper-seat plansPaid
Enterprisegovernance & scaleCustom
Value is enterprise-oriented — priced for organisations deploying agents broadly, not solo users.

Dust is for enterprises rolling out agents at scale.

Great fit
  • Companies wanting shared, governed agents.
  • Teams across ops, sales, support and marketing.
  • Organisations needing audit trails and permissions.
Think twice if
  • Solo users wanting a personal assistant.
  • Tiny teams without enterprise data sources.

No tool is perfect — the trade-offs to weigh:

  • Oriented to organisations, not individuals.
  • Real value needs connected data sources.
  • Setup and governance take effort.
  • Per-seat pricing adds up at scale.
Worth it for: company-wide, governed, shared-context AI agents.
  • Multiplayer shared context
  • 100+ data-source connectors
  • Strong governance & audit
  • Impressive retention (zero churn)
  • Backed by Sequoia & Abstract
  • Enterprise-oriented, not solo
  • Needs connected data to shine
  • Setup effort required
  • Per-seat cost scales
What users say
Multiplayer Enterprise 100+ sources Governance Shared context

Enterprise users value Dust for making agents “multiplayer” — sharing the same context and tools employees use, with governance on top. The metrics buyers cite most are zero churn in 2025 and high weekly active usage; the trade-off is that it is built for organisations, not individuals.

Summary written by blipradar from public discussion — we link out rather than republish others' reviews.
Company & reach

Dust is a Paris-based enterprise AI company founded in 2023 by ex-Stripe and ex-OpenAI engineers, which raised a $40M Series B led by Sequoia and Abstract in 2026.

Company
Dustenterprise AI agents
Headquarters
Paris, FranceHQ
Founded
2023founded
Reach
3,000+ orgs300k+ agents deployed
Backing
$61M+ raisedSequoia, Abstract

Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.

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