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Ops EfficiencyEstablished · 3 yrs on market

Dust

Multiplayer AI for human-agent collaboration

By Dust · 4.2/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Teams building and sharing AI agents on top of company context (Slack, CRM, docs) with human review in the loop
  • Companies consolidating many departments on one AI platform instead of scattered point tools
  • Buyers who want to choose the model per workflow across OpenAI, Anthropic, Google and Mistral
  • Enterprises needing SSO/SCIM, audit logs, US/EU data residency and single-tenant deployment
  • Support, sales, marketing and data teams automating repeatable, multi-step workflows

Ideal size: 50-5,000 employees people · Scale-up or enterprise with a dedicated AI Operator or platform team

Not for

  • Teams wanting a single prebuilt vertical app rather than a platform they build agents on
  • Organizations unwilling to invest in connector, permission and prompt configuration
  • Buyers who need on-premises or air-gapped deployment

Value metrics scorecard

Time-to-Value

2 weeks or less

~14 days to first production value

Total Cost of Ownership

$15,000/yr

Starts at $288 · Per-seat plans with included AI credits, billed monthly or yearly: Pro 24 EUR/seat/mo yearly, Max 120 EUR/seat/mo yearly, free tier at 0. Enterprise is custom-priced with workspace-pooled credits.

Implementation Friction

2/5

Engineering + admin effort required

Value-Position score

4.2

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Free (500 lifetime credits), Pro (8,000 credits/mo) or Max (40,000 credits/mo) per user; SSO from 5+ seats

Add-on costs

  • Overage and programmatic usage: $0.01 per credit beyond the included seat allocation
  • Enterprise adds unlimited connectors and MCP servers, single-tenant deployment and custom terms

Company & support

Who is behind Dust, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailPaid plans
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumAll plans
  • Help centre / docsAll plans
  • Dedicated account managerEnterprise only
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Enterprise plan includes priority support with an SLA

Business plan support tier is email; Enterprise adds priority support with SLA, a dedicated CSM and onboarding. Platform documentation and a Slack community are open to all users.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Dust sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$450/yr$6k/yr$11k/yr$16k/yr$22k/yr6d10d14d15dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyDustSupermetricsn8nDocusignPagerDutyIntercom

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Dust is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Dust
  • Supermetrics
  • n8n
  • Docusign
  • PagerDuty
  • Intercom
Add or change companies

Up to 10 companies including Dust. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPIntegration

A community or partner MCP server covers this. Usable today, though not maintained by the vendor.

SalesforceIntegration
AWSNot supported
SnowflakeIntegration
HubSpotIntegration
Google WorkspaceIntegration
Microsoft 365Integration
SAPNot supported
SlackIntegration

AI & MCP readiness

What Dust ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Agentic workflowsAI searchAnomaly detectionAI governance tooling

Dust is an agent platform: agents pull context from 70+ connectors, run multi-agent workflows on schedules and triggers, and are governed with permissions, audit logs and usage analytics. Users pick a model per agent and AI consumption is metered in credits.

Your data & models

Trains on your data
Never trains on your data
Runs on
OpenAI, Anthropic, Google, Mistral, Open-weight models
AI pricing
Billed by usage or credits

In your ecosystem

AI connection
Community MCP server
Model key
Vendor's key
AI usage audit
Basic visibility

Compliance attestations

SOC 2 ISO 27001 — not listedGDPR HIPAA FedRAMP — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Dust is an AI agent platform it calls 'multiplayer AI': it connects company knowledge, tools and teams so employees build, share and run agents across departments. The vendor reports 3,000+ organizations and 300,000+ deployed agents. Agents run on 20+ models from OpenAI, Anthropic, Google, Mistral and DeepSeek, governed by permissions, audit logs, US/EU data residency and SOC 2 Type II. Self-serve from a free tier; Pro is EUR24/seat/month billed yearly.

Frequently asked questions

What does Dust actually do?

Dust is a platform for building, sharing and running AI agents on top of your company context. It connects to 70+ systems (Slack, Notion, Google Drive, GitHub, Salesforce, Zendesk and more), lets teams create reusable agents and multi-agent workflows on schedules and triggers, and keeps people in the loop for review. The vendor reports 3,000+ organizations and 300,000+ deployed agents.

How does Dust pricing work?

Dust sells per-seat credits. The Business plan has three seat types: Free (500 lifetime credits), Pro at 24 EUR/seat/month billed yearly with 8,000 credits/month, and Max at 120 EUR/seat/month billed yearly with 40,000 credits/month. Overage and programmatic usage is $0.01 per credit. Enterprise is custom-priced with pooled credits, single-tenant deployment and SLA-backed support.

Is our data used to train AI models?

No. Dust's security page states 'No Model Training - Your data is never used to train models', and adds zero data retention at third-party model providers, AES-256 encryption at rest, TLS in transit and hosting in the US or EU.

Which AI models can we use?

All plans include access to 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral and DeepSeek, with multi-modal input. Model choice is per agent and no model is locked behind a higher plan, though higher-capability models consume more credits per message.

What security and compliance controls does Dust offer?

Dust states SOC 2 Type II certification and GDPR compliance, and says it enables HIPAA compliance. It offers SSO (Okta, Entra ID, Jumpcloud), SCIM provisioning, role-based access, private spaces, audit logs and advanced security controls, US or EU data residency, custom retention and single-tenant deployment on Enterprise.

How long until we see value?

You can start self-serve for free and connect tools in hours, and most teams have useful agents running within a couple of weeks. Enterprise deployments add security review, SSO/SCIM setup and onboarding with a dedicated CSM, so allow more time for a company-wide rollout.