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Dust

Build custom AI agents that know your company's internal data

4.5(820 reviews)
AI Agents

Quick buyer guide

Is Dust right for you?

Use this section to decide whether Dust belongs on your shortlist before you visit the vendor, request a demo, or start implementation planning.

Category

AI Agents

Implementation effort

Medium

Pricing model

freemium

Best for

  • Teams evaluating ai agents tools for a real business workflow.
  • Users who need build custom ai agents that know your company's internal data.
  • Businesses that already use or can connect Notion, Slack, Google Drive.

Not ideal if

  • Organisations that need enterprise procurement, compliance, and dedicated support from day one.
  • Teams without a clear use case, owner, or success metric for the tool.
  • Businesses that cannot yet review data, privacy, permissions, and approval requirements.

Common use cases

Automate multi-step workflows that cross tools, teams, or data sources.
Research, summarise, draft, and execute recurring operational tasks.
Coordinate work across CRMs, helpdesks, documents, inboxes, and internal systems.
Give staff an AI assistant for repeatable knowledge work and process follow-up.

Implementation effort

Medium

Dust should be tested on one focused workflow first, especially if it connects to existing business systems or customer data.

Pricing clarity

A free tier may be available, but useful business features often sit behind paid plans. Check limits, exports, integrations, and team controls.

Digital by Default verdict

Dust is worth considering if you need ai agents capability and the core features match a real workflow. Treat it as a medium-effort adoption: shortlist it, compare alternatives, and test it on a small but realistic process before wider rollout.

Questions to ask before buying

  1. 1Which actions can the agent take, and which actions require human approval?
  2. 2Which tools, documents, CRMs, inboxes, or databases can it safely access?
  3. 3How are permissions, audit logs, data retention, and error handling managed?
  4. 4Can you start with one narrow workflow before expanding to wider automation?
  5. 5What happens when the agent is uncertain or a task fails?

Need an implementation view?

Get help choosing or implementing Dust

Digital by Default can help compare alternatives, map the workflow, check data/privacy considerations, and plan a safe rollout.

Book a discovery call

About

Dust is an enterprise AI agent platform that connects to a company's existing knowledge—Notion, Slack, Google Drive, GitHub, and more—so agents can search, reason, and act on real internal context. Agents can autonomously create GitHub issues, schedule meetings, update CRM records, and push code reviews, all governed by a native permissioning layer that separates data-access rights from agent-usage rights. Dust is model-agnostic and supports OpenAI, Anthropic, Google, and Mistral. SOC 2 Type II certified, GDPR compliant, and HIPAA-ready with SSO/SCIM. The company hit $6M ARR in 2026.

Key Features

Knowledge-grounded AI agents
Native data permissioning layer
Multi-tool agents (search, browse, code, calendar)
Model-agnostic LLM selection
SSO/SCIM and enterprise audit logs
Evaluation, testing, and metrics dashboards

Integrations

NotionSlackGoogle DriveGitHubHubSpot

Reviews

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14-day free trial / from €29/user/mo
freemium plan
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CategoryAI Agents
Pricingfreemium
Rating4.5/5
Reviews820
StatusVerified

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