CompareDust

Fig vs. Dust

The closest comparison on this list.

Dust is "multiplayer AI" for growing companies — 20+ models, agents that act across your tools with tiered approvals, Slack and Teams surfaces, and governance built for people who run AI for their whole team. Fig agrees with most of that. The differences are specific: Fig has no seats and one shared usage pool, native mobile and desktop apps, and an Enterprise Graph that maps how your company works rather than which Space a document landed in.

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Fig vs. Dust, in short

Dust and Fig are the closest pair here: both multi-model, mid-market-friendly platforms with agents in Slack and Teams. Dust sells credit-metered seats — $30 to $150 per user per month with credits that reset monthly and don't transfer between people, pooled only on Enterprise — and organizes knowledge into admin-curated Spaces. Fig has no seats and one shared usage pool at every size, ships native mobile and desktop apps, and grounds answers in an Enterprise Graph that follows source permissions.

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Fig vs. Dust at a glance

FeatureFigDust
Getting started
Self-serve today. No seat minimum, no sales cycle to begin.
Free seat, up to 5 users; Enterprise via sales.
Pricing model
Usage only. No seats; unlimited members; one shared credit pool.
$30–150/seat credits; no rollover; pooled on Enterprise only.
Models
Frontier models from multiple labs, routed per task.
20+ models chosen per agent; EU inference path.
Where it runs
Slack (in-channel), desktop, mobile, and web.
Web, Slack, Teams, browser extension; no native mobile or desktop.
Connectors & actions
Native connectors, computer use, MCP, approval gates on actions.
50–100+ connectors, MCP, tiered write approvals.
Company context
Enterprise Graph: people, teams, projects, activity; follows source permissions.
Spaces; visibility is per Space, not per source ACL.
Agents
Agent Builder, Orchestration, Governance — on the same usage pool.
Polished no-code builder; usage drawn from seat credits.
Admin & compliance
SSO (SAML/OIDC), SCIM 2.0, scoped roles, audit export, break-glass re-auth.
SSO; SCIM and audit on Enterprise; SOC 2 Type II, HIPAA.
Deployment
Managed cloud platform.
US or EU SaaS; single-tenant on Enterprise.

Included   Partial or with conditions   Not offered

$0per seat, at any team size
Unlimitedmembers on one shared usage pool
Every labfrontier models, routed per task
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Pricing: Fig vs. Dust

Fig

No seats. Team members are free to add, and usage is billed from your team's shared credit pool — you only pay for what the team actually consumes.

See how usage pricing works →

Dust

Dust replaced its flat unlimited-message plan with metered seats in June 2026. Pro is $30 per user/month ($24 annual) for 8,000 credits; Max is $150 ($120 annual) for 40,000. A credit is a unit of AI work — tokens plus 1–3 credits per tool call — and each seat's balance resets monthly with no rollover and no sharing. Overage is available if an admin enables it, up to a cap. Enterprise pools credits across the workspace at negotiated volume pricing.

The structural difference: on Dust's Business plan, an unused credit on one person's seat can't help a teammate who ran out. Fig's pool is shared by design, at every size.

Fig vs. Dust in detail

Per-seat credits vs. one shared pool

Dust's June 2026 move to credit-metered seats made its pricing more honest about AI costs, and it introduced a budgeting problem: every Pro seat carries 8,000 credits that reset monthly, don't roll over, and can't be transferred. The teammate who built three agents runs dry while the one who asked two questions leaves 7,900 on the table. Pooled credits exist — on Enterprise, with a sales conversation. Fig has no seats at all: the team draws from one shared pool from day one.

Usage controls →Fig Team →

Spaces vs. a graph of the company

Dust organizes company knowledge into Spaces, and agent access follows Space membership — a clean, understandable model. It is also coarse: everything synced into a Space is visible to everyone in it, the Company Data space can't be restricted at all, and nothing in the model knows that a document belongs to a project owned by a person on a team. Fig's Enterprise Graph maps exactly those relationships and lets access follow the permissions of the source systems, so the assistant understands context without an admin curating containers.

Enterprise Graph →Connectors →

Native apps where the work is

Dust reaches Slack, Teams, and the browser well, and its extension can act on web pages. It has no native desktop or mobile app — on a phone, you're in a responsive web page. Fig ships native mobile and desktop alongside in-channel Slack and web, which matters for the sales rep between meetings and the founder answering a customer at 10pm.

Download Fig →Fig Assistant →

Which is right for you?

Choose Fig if

Teams and mid-market companies that want multi-model AI with agents and company context, priced as a shared usage pool with no seats, delivered in native mobile and desktop apps as well as Slack and web, with a graph of how the company works instead of curated Spaces.

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Choose Dust if

Growth-stage and mid-market companies that want a polished multi-model agent builder in Slack, Teams, and the browser, need EU data residency or single-tenant deployment with SOC 2 and HIPAA today, and are comfortable managing per-seat credit budgets or negotiating a pooled Enterprise plan.

Frequently asked questions

Is Fig an alternative to Dust?

Yes — they're the closest pair on this list. Both are multi-model, mid-market-friendly platforms with agents in Slack. The material differences: Fig has no seats and one shared usage pool at every size, native mobile and desktop apps, and Enterprise Graph context that follows source permissions; Dust has per-seat credits (pooled only on Enterprise), a Spaces-based knowledge model, EU data residency, and SOC 2 and HIPAA today.

How does Dust's pricing work now?

Since June 2026, Dust sells credit-metered seats: Pro at $30 per user/month ($24 annual) with 8,000 credits, and Max at $150 ($120 annual) with 40,000. Credits reset monthly with no rollover and aren't shared between seats; the Business plan caps at 100 seats, 3 connectors, and 5 Spaces. Enterprise pools credits at negotiated pricing. Fig has no seats — usage is billed from a shared pool.

Are both Fig and Dust model-agnostic?

Yes. Dust offers 20+ models chosen per agent with zero-data-retention terms and an EU inference path. Fig routes each task across frontier models from multiple labs with per-team controls.

How do Dust's Spaces differ from Fig's Enterprise Graph?

Spaces are admin-curated containers of synced data; agent access follows Space membership, everything in a Space is visible to its members, and the Company Data space can't be restricted. Enterprise Graph maps the people, teams, projects, and activity behind your data and lets access follow the permissions of the source systems, so context comes from how the company actually works rather than from which container a document was placed in.

Does Dust have mobile and desktop apps?

No native ones — Dust runs as a web app, in Slack and Teams, and through a browser extension, Raycast, and a CLI; on mobile it's the responsive web. Fig ships native mobile and desktop apps alongside in-channel Slack and web.

See Fig on your team's real work.

Create a team, connect your tools, and ask your first question in Slack today — or walk through it with us.

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