M4A

Dust

Build and deploy custom AI assistants for your team

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Memory Types

semantic, organizational, contextual

Integrations

slack, notion, google-drive, github, intercom


Overview


Dust is a platform for building and deploying custom AI assistants that integrate with your company's knowledge and tools. The platform enables teams to create specialized AI assistants for different functions (support, sales, engineering) that have access to company data and can take actions through integrations.


Dust emphasizes team collaboration and knowledge access, making it easy to create assistants that can answer questions, generate content, and automate workflows using your organization's data from Notion, Google Drive, Slack, and other sources. The platform is designed for business users who want AI without requiring deep technical knowledge.


Key Features


  • **Custom Assistants**: Build specialized AI for different use cases
  • **Data Connectors**: Sync from Notion, Drive, Slack, etc.
  • **Team Workspace**: Collaborate on assistant development
  • **Access Control**: Fine-grained permissions on data access
  • **Slack Integration**: Use assistants directly in Slack
  • **Workflow Automation**: Connect assistants to actions
  • **Conversation Memory**: Assistants remember context
  • **Analytics**: Track usage and performance

    • When to Use Dust


    Dust is ideal for:

  • Teams wanting custom AI assistants with company knowledge
  • Organizations using Notion, Slack, Google Workspace
  • Companies needing AI for internal knowledge management
  • Teams automating support, sales, or operations workflows
  • Organizations with distributed knowledge across tools
  • Companies wanting to democratize AI access

    • Pros


  • Easy to set up without coding
  • Good integrations with popular workplace tools
  • Team-friendly interface
  • Built-in RAG with your data
  • Slack-native experience
  • Handles data permissions properly
  • Good for non-technical users
  • Privacy-focused approach

    • Cons


  • Limited to supported integrations
  • Less flexible than developer platforms
  • Subscription required (no free tier for production)
  • Smaller ecosystem than major platforms
  • May not handle complex custom logic
  • Relatively new with smaller user base
  • Limited customization options
  • Best suited for internal use cases

    • Pricing


  • **Team**: $29/user/month
  • **Enterprise**: Custom pricing for larger teams
  • **No Free Tier**: Requires paid subscription

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