Dust builds a collaborative AI workspace where teams and AI agents work together — not in isolation. The core problem it solves: most enterprise AI tools are "single-player." One person talks to one assistant; the context vanishes when the chat ends. Dust flips that model by creating a shared environment where agents, people, knowledge, and tasks are visible and actionable across the whole company. Businesses connect Dust to 100+ data sources (Slack, Notion, GitHub, Salesforce, etc.), then build and deploy custom AI agents that can retrieve information, generate documents, analyze data, and take actions inside connected tools — all governed by enterprise permissions and audit controls. The target buyer is what Dust calls an "AI Operator": a team lead, RevOps manager, or department head who wants to rewire how their function works with AI, not just give each employee a chatbot. Customers include Vanta, Doctolib, Clay, Persona, and Spendesk. The platform is open-source at its core, with a managed cloud option and EU data residency, making it especially appealing to European enterprises navigating GDPR.