Dust

What is Dust?

Dust is an advanced AI platform designed to help organizations build and deploy specialized AI agents in minutes without coding. It connects seamlessly to diverse company data sources like Slack, Google Drive, Notion, and more, enabling AI agents to access relevant knowledge across silos. Dust supports multiple leading AI models from providers such as Anthropic, OpenAI, and Google, allowing teams to avoid vendor lock-in and tailor AI capabilities to specific workflows. The platform emphasizes security, compliance, and flexibility, offering granular data control and enterprise-grade protections. Dust empowers teams across departments—sales, marketing, support, engineering, and data analytics—to automate complex tasks, improve productivity, and accelerate decision-making through context-aware AI agents.

Key Features

• No-Code AI Agent Builder

  Create and customize AI agents quickly using a visual interface without programming skills.

• Multi-Model Support

  Access and switch between top AI models from Anthropic, OpenAI, Google, and others to suit different tasks.

• Seamless Data Integration

  Connect to a wide range of company data sources including Slack, Google Drive, Notion, Confluence, GitHub, Zendesk, Salesforce, and Microsoft SharePoint.

• Context-Aware AI Agents

  Agents leverage company knowledge to provide precise, relevant insights and automate workflows.

• Enterprise-Grade Security

  Compliant with GDPR, HIPAA, and SOC2 Type II, featuring end-to-end encryption, granular data access controls, and private spaces.

• Developer Platform & API

  Build custom actions, integrations, and orchestrate complex workflows programmatically to extend agent capabilities.

Use Cases

• Customer Support Automation : Accelerate ticket resolution by auto-drafting responses, deflecting Tier 1 tickets, and extracting insights from support interactions.
• Sales and Revenue Operations : Generate customer profiles, flag at-risk deals, analyze calls, and create real-time SQL queries from natural language.
• Marketing and Product Management : Produce on-brand content, translate messaging, extract feedback insights, and generate user stories.
• Engineering and Data Analytics : Review code, auto-generate documentation, compile incident reports, and enable non-technical teams to query data.
• Cross-Department Collaboration : Build teams of specialized AI agents that collaborate with humans to streamline complex workflows.

FAQs