Dust
by Dust (Permutation Labs) • Paris, France • Founded 2023
Build Custom AI Agents Connected to Company Knowledge
Trust Score
Based on ratings & reviews
48 reviews
What is Dust?
Dust is an AI agent platform that lets organizations build, deploy, and orchestrate specialized AI assistants connected to internal company knowledge and tools. Powered by leading LLMs including GPT-5, Claude, Gemini, and Mistral, Dust enables teams to create no-code agents that can perform semantic search, data analysis, and web navigation across connected sources like Slack, Google Drive, Notion, and GitHub.
The platform is model-agnostic, allowing enterprises to switch between providers without lock-in. Trusted by over 5,000 organizations, Dust provides SOC 2 Type II certified infrastructure with zero data retention policies from model providers.
Dust — Build Custom AI Agents Connected to Company Knowledge Whether you're evaluating Dust for your team or comparing it to alternatives in the AI Business Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Dust Demo Video
Key Features 8
Who Is Dust For
Pros & Cons
- Multi-Model Provider Flexibility
- Zero Data Retention Policy
- No-Code Agent Builder
- Strong Enterprise Security Certifications
- No Free Permanent Plan
- Per-Seat Pricing Scales Quickly
- Limited to 1GB/User Storage
Frequently Asked Questions
5 questionsDust is model-agnostic and supports GPT-5, GPT-5.5, Claude, Gemini, and Mistral models. Users can select their preferred model per agent and switch providers at any time without rebuilding their workflows.
Dust connects to tools like Slack, Google Drive, Notion, Confluence, GitHub, Salesforce, and Microsoft Teams through native connectors. Admins control exactly which folders and channels are synced, with all data encrypted via AES-256.
Dust agents go beyond simple Q&A. They can execute multi-step actions, use multiple tools in sequence (semantic search, data analysis, web navigation), access company-specific knowledge bases, and be steered in real-time during processing.
Yes. Dust offers a full API for programmatic usage, including integrations with Google Sheets and Zapier. Pro workspaces receive free monthly credits based on team size, with additional usage billed at a fixed pay-per-use rate.
Steering allows users to send messages to an agent while it is actively working. Users see each step the agent takes in real-time and can redirect it mid-process without canceling or losing progress, making conversations more collaborative.
How Dust works
Dust is positioned as build Custom AI Agents Connected to Company Knowledge. Under the hood it ships 8 headline capabilities, including No-Code AI Agent Builder to Create and Deploy Custom Agents in Minutes, Secure Data Connections to Slack, Google Drive, Notion, GitHub, and 30+ Tools, Model-Agnostic Platform Supporting GPT-5.5, Claude 4.5, DeepSeek, and Grok Models, Autonomous Agent Triggers with Scheduled Tasks, Webhooks, and Event-Based Workflows, MCP Integrations for Salesforce, Jira, HubSpot, Amplitude, and Enterprise CRMs and Real-Time Agent Steering to Redirect AI Mid-Conversation Without Restarting. Together these features cover the core workflows most teams expect from a modern ai business tools, from initial setup through day-to-day production use.
Dust runs as a self-contained product, so you can adopt it without touching the rest of your stack — useful when you want to evaluate the tool in isolation before wiring up integrations.
Who is Dust for?
Dust is most useful for Operations and IT Teams, Customer Support Managers, Knowledge Workers Building Internal AI Assistants and Sales and Go-To-Market Teams. If your team falls into one of those buckets, the feature set lines up well with how you already work — you won't be forcing a square peg into a round hole.
Beyond the obvious use case, the product tends to attract users who want a pay-as-you-grow option in the ai business tools space.
Dust pricing explained
Dust is a paid product without a permanent free tier. Pricing is positioned around From €29/user/mo. Most teams justify the cost on time saved or output quality rather than treating it as a discretionary line item.
Across the AI Gear Base rubric, we score paid pricing models on transparency, rate-limit honesty, and how predictable spend is at scale. Dust's paid approach is common for production-grade tools and tends to be predictable once you size your usage correctly.
Our verdict on Dust
Dust hasn't been rated by enough reviewers yet to publish an aggregate score. The strongest signal in those reviews is that multi-model provider flexibility. The most common complaint is that no free permanent plan — worth knowing before you commit, but rarely a deal-breaker for teams that already match the use case.
If you're evaluating Dust against alternatives, weigh it on the same 7-criteria rubric we apply to every tool: capability, integrations, pricing transparency, support, security posture, roadmap velocity, and community signal. Built by Dust (Permutation Labs), founded in 2023, the product has a clear track record you can verify before adopting it. The bottom line: Dust is a solid pick in the ai business tools category, and it deserves a spot on your shortlist if your workflow matches what it was built for.
Trusted Reviews
Verified PlatformsWhat's New
weeklyOpenAI's latest GPT 5.5 model is now available for custom agents and as the default for the global agent interface.
Users can now send messages while agents are working, see each processing step live, and redirect agents mid-task without losing progress.
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Dust Pricing
From €29/user/mo
- Advanced models (GPT-5, Claude, Gemini, Mistral)
- Custom agents which can execute actions
- Connections (GitHub, Google Drive, Notion, Slack)
- Native integrations (Zendesk, Slack, Chrome Extension)
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