AI Summary
About
Dust is an enterprise AI agent platform: companies build custom agents connected to their internal data (Notion, Google Drive, Slack, GitHub, Zendesk, Salesforce) and deploy them across departments, on top of frontier models from OpenAI, Anthropic, Google, and Mistral. Founded in Paris in 2022 by Gabriel Hubert and Stanislas Polu — who previously co-founded TOTEMS (acquired by Stripe in 2014), spent five years at Stripe, and in Polu’s case did AI reasoning research at OpenAI — Dust bet early that companies need many specialized agents rather than one monolithic assistant.
The bet has compounded: a $16M Series A led by Sequoia in June 2024, then a $40M Series B co-led by Abstract and Sequoia (with Snowflake Ventures and Datadog) in May 2026, bringing total funding past $60M. By the Series B, Dust reported 3,000+ organizations, ~41,000 monthly active users, 300,000+ agents deployed, and zero churn in 2025.
For the most current information, visit Dust.
Pricing summary : How Dust’s pricing model works
Dust sells exactly two plans. Pro is 29€ per user per month (excl. tax), self-serve from a single user with a 14-day free trial. It includes the full product: frontier models (GPT-5, Claude, Gemini, Mistral), custom agents that can execute actions, data connections, native integrations (Zendesk, Slack, Chrome extension), SOC2 compliance with zero data retention, up to 1GB/user of data sources, and unlimited messages under fair-use limits. Enterprise — positioned for organizations from 100 members — is custom-quoted based on active users, adding SSO, SCIM, multiple workspaces, US/EU data hosting, advanced security, SEPA payment, and a dedicated account manager.
The usage-based layer hides one level down. Human usage (web, Slack, extension) is covered by the flat seat price, but programmatic usage — API calls, Google Sheets, Zapier — is metered via credits that decrement based on the underlying models’ token consumption. Every workspace gets free monthly credits scaled by team size ($5 per user for the first 10 users, $2 per additional user to 50, $1 per user to 100, nothing beyond 100); they reset each cycle and don’t roll over. On Pro, additional credit purchases are capped at $50 per active user and $1,000 absolute per billing cycle; Enterprise can switch to pay-as-you-go with a predefined spending cap.
What makes this different: Dust splits the meter by who is consuming — humans pay flat per seat, machines pay by the token (via credits). And the headline price is remarkably static: 29€ has held since at least May 2024, with Enterprise quoted on active users rather than provisioned seats.
Pricing by product
| Tier | Price | Included | Key mechanics |
|---|---|---|---|
| Pro | 29€/mo per user (excl. tax) | All models, custom agents, connections, unlimited fair-use messages, 1GB/user data, one private space | Self-serve from 1 user; 14-day free trial; prorated seat adds |
| Enterprise | Custom, based on active users | Everything in Pro + SSO, SCIM, multiple workspaces, US/EU hosting, larger storage | Sales-led, from 100 members; custom programmatic rates; SEPA |
| Programmatic usage (both) | Free credits, then metered | $5/user free credits (first 10 users), $2 (11-50), $1 (51-100) monthly | Credits drawn down by model token consumption; Pro overage capped at $50/active user, $1,000/cycle |
Sales motions across products: self-serve signup and trial for Pro; sales-led for Enterprise (contact sales, custom quote on active users). There is no free tier — after the 14-day trial, the paywall is immediate.
Hidden costs : What Dust users actually pay
The 29€ sticker is genuinely most of the bill for chat-style usage — but three things move it. First, tax is excluded (EU buyers add VAT at checkout via Stripe). Second, seats are billed upfront monthly and prorated on changes: adding a user mid-cycle triggers a retroactive prorated charge on the next invoice (Dust’s own example: ~€14.50 for 15 days of one seat). Third, and most structurally, programmatic usage is a separate meter: once the free credits are burned, API/GSheet/Zapier workloads consume purchased credits priced off model token consumption — and per-model rates live in the API docs, not on the pricing page.
| Line item | Monthly cost (illustrative, 10-person team) |
|---|---|
| Pro base plan (10 × 29€) | €290 + VAT |
| Free programmatic credits (10 users × $5) | $50 included |
| Programmatic overage (automation-heavy team) | $0 up to $500 cap (10 × $50) |
| Estimated total | ~€290–€750 |
The other cost is exit risk rather than spend: downgrading deletes aggressively — all users except one admin are removed, connections are deleted, and data sources over 50MB are deleted after 7 days.
Want to estimate your own Dust bill? Use the Dust pricing calculator to model your costs based on usage patterns.
Pricing evolution : Dust pricing history and changes
Cadence
| Period | Price changes | Product / SKU additions | Notes |
|---|---|---|---|
| 2023 | — | Platform launch | No archived pricing page; product in early access |
| 2024 | 0 | Pro 29€ / Enterprise structure archived | Earliest snapshot 2024-05; Series A (Jun) |
| 2025 | 0 | Model lineup refreshes only | Same 29€ across all snapshots |
| 2026 H1 | 0 | GPT-5 added to Pro model list | Series B (May); 29€ unchanged at 2026-06-10 capture |
Tracked range: 2024–present via Wayback Machine snapshots (2024-05, 2024-09, 2025-03, 2025-09, 2026-03) and a live 2026-06-10 capture. No 2023 pricing page is archived.
Notable changes
- 2024-05 — Earliest archived pricing page already shows the current shape: Pro 29€/month/user excl. tax, fair-use unlimited messages, programmatic usage line items, 1GB/user data sources, custom Enterprise.
- 2024-06 — $16M Series A led by Sequoia (with XYZ, GG1, Connect Ventures, Seedcamp, Motier Ventures). Pricing unchanged.
- 2025 — Snapshots in March and September show the same two-tier structure; only the advertised model lineup rotates as frontier models ship.
- 2026-05-18 — $40M Series B co-led by Abstract and Sequoia, with Snowflake Ventures and Datadog; total funding passes $60M. Pricing page still 29€ Pro.
- 2026-06-10 — Live capture confirms Pro 29€/user (now listing GPT-5), Enterprise custom on active users from 100 members.
What’s unique : Dust’s distinctive pricing mechanics
1. The meter splits humans from machines. Human messages are unlimited (fair use) under the flat seat price, while programmatic usage — API, Google Sheets, Zapier — burns credits tied to actual model token consumption. Most AI-app vendors meter the human (per message or per credit); Dust only meters the workloads where consumption is machine-driven and unbounded.
2. Free credit allotments that scale sub-linearly with team size. $5/user for the first 10 users, $2 for users 11-50, $1 for 51-100, zero beyond 100. The bigger the workspace, the thinner the free programmatic allowance per head — a quiet nudge toward Enterprise’s custom programmatic rates.
3. Enterprise is priced on active users, not provisioned seats. The Enterprise card says “Custom, based on active users” — so a 500-person rollout where 200 people actually use Dust is priced on the 200. That de-risks big deployments and matches how Dust reports its own traction (monthly active users, zero churn).
Strengths & weaknesses
| Strengths | Weaknesses |
|---|---|
| Dead-simple headline: one public price, 29€/user, stable for 2+ years | No free tier — hard paywall after the 14-day trial |
| Human usage is flat and predictable; no per-message anxiety | Fair-use message limits are referenced but not quantified on the pricing page |
| Programmatic overage hard-capped on Pro ($50/active user, $1,000/cycle) | Per-model credit burn rates live in API docs, not the pricing page |
| Enterprise billed on active users — pay for adoption, not licenses | EUR-denominated sticker (excl. tax) adds friction for non-EU buyers |
| Free monthly programmatic credits for every workspace | Downgrade path is destructive (users removed, connections and 50MB+ data deleted) |
Billing UX : Dust billing controls and transparency
- Billing controls — Self-serve checkout via Stripe (company name + VAT number for business invoices); seats are billed upfront monthly with prorated adjustments for mid-cycle adds and removals; subscription management, payment updates, and receipts under Admin → Subscription. Pro programmatic overage is hard-capped ($50/active user, $1,000/cycle); Enterprise pay-as-you-go requires a predefined spending cap — bill-shock protection is built in on both plans.
- Usage visibility — Free credits reset each billing cycle and purchased credits expire after one year, with consumption decremented per model token usage; fair-use message limits are linked from the pricing page but not enumerated on it.
- Payment options — Credit card for self-serve Pro; Enterprise adds SEPA and flexible invoicing. Canceling during trial cuts access immediately; downgrading removes all users except one admin and deletes connections and data sources over 50MB after 7 days — re-upgrading restores limited features.
Strategic wins : Why Dust’s pricing decisions worked
1. Holding 29€ flat while model economics churned
From GPT-4 to GPT-5, Dust absorbed frontier-model cost swings inside a fixed seat price instead of repricing or adding model surcharges. Buyers got a stable line item through the most volatile period of AI input costs — and Dust reported zero churn in 2025. See usage-based pricing strategy for when flat anchors beat pure meters.
2. Metering machines, not people
Unlimited fair-use messages kill per-message anxiety for end users (the adoption engine), while the credit meter on API/GSheet/Zapier usage captures upside exactly where consumption scales without human limits. It is a clean answer to the classic seat-vs-usage dilemma: both, split by actor. Related: how AI companies are shifting from per-user licenses.
3. Active-user pricing as an enterprise wedge
Quoting Enterprise on active users rather than provisioned seats removes shelfware risk from the buyer and ties Dust’s revenue to real adoption — the same metric (41K MAU, 300K agents) it showcased to raise its $40M Series B. See choosing the right usage metric.
Areas to improve : Gaps in Dust’s pricing approach
1. Quantify the fair-use limits
“Unlimited messages (fair use limits apply)” carries the whole Pro promise, but the limits themselves are a footnote link. Buyers modeling heavy chat usage can’t tell where the ceiling is without digging into docs — exactly the ambiguity that produces bill shock and cost unpredictability complaints elsewhere.
2. Put credit burn rates on the pricing page
Programmatic credits decrement by model token consumption, but per-model rates live in the API documentation. An automation-heavy team can’t estimate its overage from the pricing page alone — a transparency gap as agent workloads (the growth story) become the dominant cost driver.
3. Soften the exit cliff
Downgrading removes every user but one, deletes connections, and deletes 50MB+ data sources after 7 days. For an enterprise platform selling trust, a gentler off-ramp (read-only grace period, export tooling) would reduce perceived lock-in at the exact moment procurement evaluates the deal.
Key takeaways
- Price stability is a feature. Dust held 29€/user for 2+ years through model-cost chaos and two funding rounds — predictability that showed up as zero churn in 2025.
- Split the meter by actor. Humans pay flat per seat with fair-use messages; machines (API, Sheets, Zapier) pay by the token via credits. Each side gets the model that fits its consumption pattern.
- Active users beat provisioned seats for enterprise AI. Dust quotes Enterprise on the people who actually use it, aligning price with adoption and de-risking big rollouts.
- Caps make hybrid pricing safe. Pro programmatic overage is hard-capped at $50/active user and $1,000/cycle; Enterprise pay-as-you-go requires a spending cap — usage upside without bill shock.
- No free tier can work when the trial converts. Dust pairs a 14-day trial with self-serve from one user and leans on product depth, not a freemium funnel, to fill the top of the pipeline.
UBP implications
- Hybrid seat-plus-credits is becoming the default for agent platforms. A flat per-seat anchor for human collaboration with token-derived credits for programmatic workloads prices each consumption mode on its own physics. See usage-based pricing strategy.
- Token pass-through can hide inside credits. Dust’s credits decrement by model token consumption, insulating the price sheet from per-model rate changes — but trust requires publishing the burn rates where buyers can see them.
- Active-user billing is the enterprise-friendly form of usage pricing. It meters value (adoption) rather than inputs (tokens), which is easier for procurement to underwrite — a pattern worth copying for AI platforms selling org-wide deployment. Related: outcome-based pricing trends.
Sources
- Dust pricing page — live capture (accessed 2026-06-10)
- Dust docs — Programmatic usage & credits (accessed 2026-06-10)
- Dust docs — Subscriptions & payments (accessed 2026-06-10)
- TechCrunch — Dust grabs another $16M for its enterprise AI assistants (accessed 2026-06-10)
- Tech.eu — Dust raises $40M Series B (accessed 2026-06-10)
- Dust blog — Series A announcement (accessed 2026-06-10)
- Wayback Machine snapshots: dust.tt/pricing and dust.tt/home/pricing — 2024-05, 2024-09, 2025-03, 2025-09, 2026-03 (accessed 2026-06-10)
Bottom line
Dust is a Paris-built enterprise AI agent platform from ex-Stripe/ex-OpenAI founders, priced with unusual discipline: one public plan at 29€/user/month (excl. tax, 14-day trial) with fair-use unlimited messages, credit-metered programmatic usage (free monthly credits, hard-capped overage), and a custom Enterprise tier quoted on active users from 100 members. The sticker hasn’t moved since at least May 2024 — through a $16M Sequoia Series A, a $40M Series B, and the GPT-5 transition — making Dust a case study in absorbing model-cost volatility behind a flat seat price. Browse the pricing blueprint for more fully-researched company profiles.
Want to compare Dust against other AI platform companies? Browse the pricing blueprint.
Pricing timeline : Major events on a vertical axis
Each milestone below corresponds to a public pricing change, product launch, or material adjustment. Major events use a filled marker; minor adjustments use a faded one.
Pro holds at 29€/user; Enterprise custom on active users
Live capture: Pro 29€/month/user excl. tax (14-day free trial, from 1 user) with GPT-5/Claude/Gemini/Mistral, fair-use unlimited messages, free programmatic credits, and 1GB/user storage. Enterprise (from 100 members) is custom-priced on active users with SSO, SCIM, US/EU hosting, and SEPA payment.
Price stability through 2025
Snapshots across 2025 show the same 29€ Pro / custom Enterprise structure; only the advertised frontier-model lineup and feature copy refresh as new models ship. No headline price movement.
Earliest archived pricing — Pro 29€/user established
Wayback's earliest dust.tt/pricing snapshot already shows today's structure: Pro at 29€/month/user excl. tax with fair-use unlimited messages, programmatic usage line items, 1GB/user data sources, and a custom Enterprise tier.
- · Founders Gabriel Hubert and Stanislas Polu met at Stanford in 2007, co-founded TOTEMS (acquired by Stripe in 2014), spent five years at Stripe, and Polu then joined OpenAI as a research engineer on Greg Brockman's team, co-authoring AI reasoning papers with Ilya Sutskever.
- · Dust's Pro price has not moved from 29€/user/month since at least May 2024 (the earliest archived pricing page) — through a $16M Series A, a $40M Series B, and the GPT-4-to-GPT-5 model transition.
- · Dust reported zero churn in 2025 and serves 3,000+ organizations with roughly 41,000 monthly active users and 300,000+ agents deployed (as of the May 2026 Series B announcement).
Questions & answers
- What is Dust's pricing model?
- Dust bills per seat. The Pro plan is €29 per user per month (excl. tax) with unlimited messages under fair-use limits, plus credit-metered programmatic usage for API, Google Sheets, and Zapier workloads. Enterprise is custom-quoted based on active users, for organizations from 100 members.
- Does Dust offer a free tier?
- No. Dust offers a 14-day free trial of the Pro plan (no free-forever tier). Canceling during the trial ends access immediately, and downgrading removes all users except one admin and deletes connections and larger data sources.
- How much does Dust cost per month?
- Pro costs €29 per user per month, excluding tax — a 10-person team pays €290/month plus tax. Programmatic usage beyond the included free credits is billed separately, capped on Pro at $50 per active user and $1,000 per billing cycle. Enterprise pricing is custom.
- Is Dust pricing usage-based or subscription?
- It is a hybrid. Human usage through the web app, Slack, and Chrome extension is covered by the flat €29/user subscription (fair-use limits apply), while machine usage — API calls, Google Sheets, Zapier — draws down credits based on the underlying AI models' token consumption.
- How do Dust's programmatic usage credits work?
- Every workspace gets free monthly credits scaled by team size: $5 per user for the first 10 users, $2 per additional user up to 50, and $1 per user up to 100. Credits reset each cycle and don't roll over. Additional credits can be purchased (valid one year), and Enterprise can enable pay-as-you-go with a spending cap.