Generative AI & Automation★ EDITORIAL · CAUTIOUS-BUY· read full review ↓

Dust

Enterprise AI agent platform — build custom agents wired to your company's tools, deployed across the team.

Professional
Pricing Tier
Medium
Learning Curve
1-2 weeks
Implementation
medium, large, enterprise
Best For
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Use when

European enterprises wanting Glean-style work assistance with more agent customization; product teams shipping internal AI agents to business users.

Avoid when

M365 shops (Copilot is bundled), or teams needing the deepest possible search index (Glean still wins on raw retrieval scope).

What is Dust?

Dust is a French AI startup building an enterprise platform for custom AI assistants. Each agent has access to company data sources (Notion, Slack, Drive, GitHub, Salesforce, Intercom) and can be configured by non-developers via a visual builder. Raised $16M Series A in 2024 from Sequoia. Strong traction in European mid-market enterprises.

Key features

Visual agent builder (no code required)
Pre-built connectors to enterprise SaaS
Multi-model: OpenAI, Anthropic, Mistral, open source
Permission-aware retrieval
Slack and web app deployment surfaces

Integrations

NotionSlackGoogle DriveGitHubSalesforceIntercom
💰 Real-world pricing

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StackMatch EditorialVerdict: Cautious buyUpdated Apr 30, 2026

The European answer to enterprise AI agents

Editor's summary

Dust gives mid-market and enterprise teams a platform to build custom AI agents wired to their existing tools (Notion, Slack, Drive, Salesforce, GitHub). Strong in Europe; faces hard competition from Glean, Microsoft Copilot, and Gemini for Workspace elsewhere.

Dust's product is well-built and the visual agent builder is genuinely usable by non-developers — important if the goal is for business users to create their own internal AI assistants rather than waiting on engineering. The connector quality across enterprise SaaS (Notion, Slack, Drive, GitHub, Salesforce, Intercom) is solid, and the multi-model approach (OpenAI, Anthropic, Mistral, open source) gives buyers flexibility on cost and capability.

The positioning is harder. In Europe — especially France — Dust has real traction with mid-market enterprises that want a French alternative to US AI vendors and value Mistral integration as a sovereignty story. Outside Europe, Dust competes against Glean (broader and deeper retrieval), Microsoft Copilot (bundled with M365), and Gemini for Workspace (bundled with Google Workspace) — all of which have stronger distribution.

Buy Dust if you're a European enterprise that wants Glean-style work assistance with more agent customization, or if Mistral integration and EU sovereignty matter to procurement. Evaluate Glean head-to-head outside Europe — it's usually a better fit. Stay with Microsoft Copilot if you're M365; Gemini if you're Google Workspace.

Best for

European enterprises wanting customizable AI agents with Mistral integration and EU sovereignty story.

Not for

M365 shops (Copilot is bundled), Google Workspace shops (Gemini is bundled), or teams needing Glean-scale retrieval.

Written by StackMatch Editorial. StackMatch editorial reviews are independent analyst commentary, not user reviews. We have no affiliate relationship with this tool. See user reviews below for community perspective.

HONEST ALTERNATIVES

Before you buy Dust

Vendors don't tell you about their competitors. We do — with verdicts attached when we have them.

3 of 3 have a StackMatch Editorial verdict.
See all in Generative AI & Automation
REAL COST CALCULATOR

What Dust actually costs

Sticker price isn't the real cost. We add implementation, training, and a probability-weighted lock-in penalty.

1500
Subscription
$50/seat/mo × 50 × 36 mo
$90K
Implementation (one-time)
1-2 weeks
$15K
Training (one-time)
$500/seat × 50 (medium curve)
$25K
Lock-in penalty
33% × moderate switching cost (year 3)
$5K
Real total cost (3-year)
~$45K per year
$135K
1.5× sticker. Vendor will quote ~$90K (subscription only). Real cost is $135K once implementation, training, and switching risk are priced in.
Heuristic — uses median industry rates. Negotiate to beat list pricing; the implementation and training estimates assume reasonable rollout.
NEGOTIATION TIMING

When to negotiate Dust

Vendor sales pressure is non-uniform — quarter-close, year-end, and post-funding-round are your high-leverage windows.

HIGH LEVERAGE15 days to Q2 close

Strong negotiation window. Reps will push for end-of-quarter signature. Don't move first — let them initiate the discount. Target 15-30% off list plus negotiated terms.

Tier-specific leverage
Professional-tier has moderate negotiation room — annual commit + reference customer rights typically unlock 15-25% off list.
Q1
289d out
Q2
15d out
Q3
107d out
Q4
199d out
Calendar-quarter heuristic. Vendors on fiscal-year ≠ calendar may shift these windows; ask the rep what their fiscal year-end is.
BUYER'S QUESTION LIST

Take this to your sales call

11 questions vendor sales teams steer around — generated from Dust's pricing tier, lock-in profile, and editorial verdict.

  1. 1
    PRICING
    Dust is professional-tier on the public site. What's the discount path for medium-sized teams committing annually vs. monthly?
  2. 2
    PRICING
    What overages or seat-overflow charges should we plan for? Show me the worst-case bill if our usage grows 2x in year 1.
  3. 3
    CONTRACT
    Auto-renewal: how many days notice is required to terminate, and what happens if we miss the window? Will you commit to a renewal-reminder email at 90 and 60 days?
  4. 4
    MIGRATION
    Data export: what's the complete spec — format, frequency, and what data does the export NOT include? After contract end, how long do we have read-only access?
  5. 5
    MIGRATION
    Implementation runs 1-2 weeks. Who from your team is included by default, and who do we add at additional cost? Is a CSM assigned?
  6. 6
    FIT
    Independent analysis (StackMatch Editorial) flags this verdict: "The European answer to enterprise AI agents." How do you address this concern specifically for our use case?
  7. 7
    FIT
    Dust is best for: European enterprises wanting customizable AI agents with Mistral integration and EU sovereignty story.. We're [describe your situation]. Walk me through the failure modes if our profile doesn't match.
  8. 8
    FIT
    Connect us with 2-3 reference customers at our company size in SaaS — not the case-study list, customers who've been live for 18+ months and have churned at least one tool from your stack.
  9. 9
    INTEGRATION
    Dust lists 6 integrations including Notion, Slack, Google Drive. Which of OUR existing tools — bring our list — have you confirmed shipping integration with versus "on roadmap"? Show me the actual status.
  10. 10
    VENDOR
    Track record over the last 18 months: any pricing model changes, executive departures, layoffs, M&A activity, or material customer churn we should know about?
  11. 11
    VENDOR
    If you're acquired or shut down, what's the contractual continuity — source-code escrow, data portability, transition period? Show me the actual clause.
Auto-generated from Dust's structured profile. Edit before sending — you know your situation better than we do.
ANTI-DEMO CHECKLIST

What to actually test in the demo

Vendor sales teams script demos to maximize close rate. Here's what they'd rather you not test — derived from Dust's lock-in profile and editorial verdict.

  1. 1
    PERFORMANCE
    Bring YOUR data, not their demo data. Insist on running the demo workflow against a sample of your real records, files, or queries. If they refuse — that's a signal.
  2. 2
    PERFORMANCE
    Editorial flags: "The European answer to enterprise AI agents." Construct a demo scenario that directly tests this concern. Ask the rep to walk you through it in real time, not promise a follow-up.
  3. 3
    PERFORMANCE
    Dust demo will be built around the happy path. Ask: "Show me what happens when [the most common failure mode in our context]" — make them improvise.
  4. 4
    EDGE CASES
    Push the limits live: largest dataset, longest workflow, most users concurrent. Vendors prep demos for medium loads — your real-world usage might 10x what they show.
  5. 5
    EDGE CASES
    Mobile and offline behavior: how does Dust degrade on slow connections, on iPad, in airplane mode? Test in the demo if your team uses these surfaces.
  6. 6
    PRICING
    Model your worst-case bill: 2x the seats, 3x the usage. Show the exact dollar figure on screen during the demo. Refuse "we'll get back to you" — get the math live.
  7. 7
    INTEGRATION
    Vendors love their integration logo wall. Test the actual depth: pick the 2-3 (Notion, Slack-style) integrations you depend on most, and ask the rep to demo a real two-way data sync, not a marketing screenshot.
  8. 8
    INTEGRATION
    API and webhook reality check: rate limits, payload size limits, retry behavior, auth refresh handling. Ask for actual API docs in the demo, not "we'll send those."
  9. 9
    MIGRATION
    Demo the full data export workflow. Even with low lock-in, you want to see how clean the exit looks before signing.
  10. 10
    SUPPORT
    Submit a real support ticket DURING the demo. Use the actual support channel customers use, not the rep's email. Time the response. This is your most honest data point about post-sale reality.
  11. 11
    SUPPORT
    Ask to be connected with a customer in the demo who you can email TODAY (not "we'll arrange a reference call next week"). The vendor's confidence in their references is a tell.
Print it, bring it to the demo call, and check items off as you cover them. The rep noticing you have a list changes the energy.

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