Dust is a platform for building intelligent AI agents that operate inside real company workflows and data. Instead of functioning as a separate chatbot, it connects large language models to internal systems such as Slack, Notion, GitHub, Google Drive and enterprise APIs, allowing agents to retrieve information, take actions and collaborate with teams in the tools they already use.
Agents are created through a simple configuration interface where teams define abilities, permissions, data access and available tools. Once connected to internal knowledge sources, these agents can answer questions, summarize tickets, draft responses, search documentation, execute tasks and trigger automations across integrated systems. Every interaction is logged with granular governance controls to ensure security, privacy and auditability.
Dust is model-agnostic and supports leading LLMs, giving organizations the flexibility to choose or change models based on performance, compliance or cost. The platform includes secure enterprise hosting, observability dashboards, conversation routing and safety layers designed for production environments.
Companies use Dust for internal knowledge assistance, product support, sales enablement and operational automation. It enables teams to move beyond basic chat interfaces and deploy capable, governed AI copilots that improve execution and reduce the manual overhead of daily work.
