Dust
Agentic AI software
AI agent builders software
AI agents
AI customer support agents software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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€29 per user per month
Free Trial
Free version unavailable
Small
Medium
Large
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What is Dust
Dust is an agentic AI platform used to build and run AI agents that can answer questions and execute workflows using connected tools and company knowledge sources. It targets teams that want to deploy internal assistants (e.g., for operations, engineering, or knowledge management) and customer-facing agents for support use cases. The product emphasizes configurable agents, integrations to external systems, and governance controls for how agents access data and take actions.
Configurable agent workflows
Dust supports building agents with defined instructions, tool access, and task flows rather than only single-turn chat. This helps teams standardize how agents handle recurring requests and multi-step work. It is well-suited for internal enablement and support scenarios where consistent behavior matters.
Connects to business systems
The platform is designed to connect agents to external tools and data sources so responses can be grounded in company context. This enables use cases like searching internal documentation, summarizing tickets, or drafting responses based on knowledge bases. Tool connectivity also supports action-taking workflows beyond Q&A.
Enterprise governance features
Dust includes controls intended for organizational deployment, such as managing who can create agents and what data/tools agents can access. These controls help reduce risk when agents operate on sensitive internal information. This is important for teams comparing agent platforms that vary widely in admin and permissioning depth.
Limited public feature transparency
Publicly available documentation and packaging can make it difficult to verify the full set of supported integrations, deployment options, and administrative controls without a sales or trial process. This can slow down evaluation compared with more standardized, self-serve platforms. Buyers may need hands-on testing to confirm fit for specific support workflows.
Support-specific features may vary
While Dust can be used for customer support agents, it may not include all contact-center features some organizations expect, such as native omnichannel routing, workforce tooling, or deep ticketing analytics. Teams may still need to integrate with an existing helpdesk and CRM to operationalize end-to-end support. This increases implementation and ongoing administration effort.
Outcome depends on setup quality
Agent performance depends heavily on knowledge source quality, prompt/instruction design, and tool permissions. Organizations without strong documentation hygiene or clear support processes may see inconsistent results. Ongoing monitoring and iteration are typically required to maintain accuracy and safe action-taking behavior.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Pro | €29 per month per user (excl. tax) | From 1 user; 14-day free trial; Advanced models (GPT-5, Claude, Gemini, Mistral); Custom agents and actions (Dust Apps); Connections (GitHub, Google Drive, Notion, Slack); Native integrations (Zendesk, Slack, Chrome Extension); Privacy & security (SOC2, zero data retention); Unlimited messages (fair-use limits); Includes free monthly credits for programmatic usage and fixed-price additional programmatic usage (see API pricing). |
| Enterprise | Custom pay-per-use pricing (contact sales) | For 100+ users; everything in Pro plus advanced security & controls, larger storage/file limits, custom programmatic pricing, SSO (Okta/Entra ID/JumpCloud), SCIM user provisioning, flexible payment options, priority support & account management, US/EU data hosting, priority access to new features. |
