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Dust AI

Dust AI

Internal AI Tools Built for Teams

Dust AI Overview

Dust AI takes a different approach by focusing on internal AI tooling for teams. Instead of building external AI products, Dust enables organizations to create custom AI assistants and workflows tailored to internal knowledge, documents, and processes.The platform allows teams to connect their data sources and build AI-powered tools that help employees search, summarize, and interact with company information more effectively.

More About Dust AI

Essential Features:

  • No‑code AI: Build assistants fast
  • Data integration: Connect tools & knowledge
  • Multi-model: GPT‑4, Claude, Mistral, etc.
  • Secure: Encryption, SOC 2, GDPR
  • Governance: Access control, SSO, audit logs
  • Orchestration: Multi-step tasks, agent collaboration
  • Analytics: Searchable knowledge & reports

Dust AI is well suited for:

  • Knowledge-based organizations
  • Internal operations and support teams
  • Companies with large document repositories
  • Teams seeking secure internal AI adoption

Pros & Cons

Pros:

Build custom AI agents without coding.

Connects to Slack, Notion, Drive, Confluence.

Semantic search across all company knowledge.

Chooses from multiple LLM providers.

Enterprise compliance (SOC2, GDPR, zero retention).

Cons:

Learning curve for advanced workflows.

Some integrations still missing (OneNote, Teams).

UI and onboarding confusing initially.

Company

Dust AI

Contact

Not publicly listed

Headquarter

Paris, France

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Dust AI Features

Connect internal documents and data sources Create AI assistants for specific roles or teams Automate repetitive knowledge tasks Enable natural language interaction with company data

Dust AI Demo & Screenshots

Dust AI Pricing

Dust AI Pricing Screenshot

*Price last updated on Jan 22, 2026. Visit dust.tt's pricing page for the latest pricing.

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