Review of Dust
Dust is a collaborative AI workspace designed for professional teams. The platform enables the creation of custom AI agents that interface with your business tools (Slack, Notion, Google Drive, Salesforce...) and understand the specific context of your organization. Through a persistent memory system, agent chaining, and automated triggers, Dust transforms complex repetitive tasks into fully automated workflows. Compatible with leading AI models (GPT, Claude, Gemini), the solution suits both small teams and large enterprises with strict security and compliance requirements.
Dust: Construisez des agents IA sur mesure connectés à toute la connaissance de votre entreprise.
Best for
- HR, support, and sales teams looking to automate repetitive tasks
- Companies wanting AI agents connected to internal data
- IT managers aiming to deploy AI securely at scale
- Organizations already using Slack, Notion or Google Workspace
Not ideal for
- Users looking for a simple general-purpose AI assistant
- Freelancers or solopreneurs with occasional, limited needs
- Teams without a dedicated AI tooling budget
- Projects requiring advanced creative content generation
Pros & cons
- ✅ AI Agents highly customizable with over 50 ready-to-use templates
- ✅ Native connection to 50+ tools: Slack, Notion, Salesforce, HubSpot, GitHub...
- ✅ Persistent memory per agent to keep user context always up to date
- ✅ Multi-model support: GPT, Claude, Gemini, Mistral and more
- ✅ SOC 2, HIPAA, GDPR compliance with granular access controls
- ✅ Agent chaining and automated triggers for full workflow autonomy
- ⚠️ Per-user pricing can be costly for small organizations
- ⚠️ Noticeable learning curve for agent configuration and setup
- ⚠️ Advanced features (SSO, multi-workspace) reserved for the Enterprise plan
- ⚠️ Interface and documentation primarily in English
Our verdict
Dust stands out as one of the most comprehensive enterprise AI agent platforms on the market. Where many tools remain limited to generic chatbots, Dust provides real infrastructure for building agents that understand your organization's context and act accordingly. Native integration with dozens of professional tools — Slack, Notion, Google Drive, Salesforce, HubSpot, GitHub — and support for the MCP protocol open up very broad automation possibilities. The platform shines through its flexibility: choice of underlying AI model, persistent memory per agent, chaining of specialized agents running in parallel, scheduled triggers or webhooks. SOC 2 Type II certification, GDPR and HIPAA compliance, and granular access controls make it a credible solution for demanding enterprise environments. The €29/user/month pricing may seem high for smaller teams, and initial setup requires meaningful time investment. But for teams looking to industrialize AI across business processes at an enterprise security level, Dust is a worthwhile investment and a solid alternative to ChatGPT Enterprise.
Alternatives to Dust
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FAQ
Is Dust suitable for small teams?
Yes, the Pro plan at €29/user/month is accessible from day one. A 15-day free trial with no credit card required lets you test the platform before committing.
What tools can be connected to Dust?
Dust natively integrates with Slack, Notion, Google Drive, Salesforce, HubSpot, GitHub, Jira, Zendesk, and many more via the MCP protocol (Asana, Miro, Fathom...).
Is Dust secure for enterprise data?
Yes, Dust is SOC 2 Type II certified and GDPR and HIPAA compliant. Your data is never used to train AI models, and granular access controls are available.
Can I choose which AI model my agents use?
Absolutely. Dust is model-agnostic and supports GPT, Claude, Gemini, Mistral, and others. Each agent can use the model best suited to its function.
What is persistent memory in Dust?
It is a feature that allows agents to remember each user's preferences, ongoing projects, and past interactions, enabling increasingly contextual responses over time.