By clicking “Accept All Cookies”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Privacy Policy for more information.
RevOps has quietly become the team everyone expects to rewire how the company works, but nobody hands you a playbook for it. Dust works with AI Operators at the world's fastest-moving companies and shares what actually works: which GTM workflows are worth automating, how to move from single-player AI use to something that compounds across a whole team, and where humans still need to stay in the loop. If you're figuring out how to build agents that collaborate with your team rather than sit alongside it, Dust's practitioners are here to share what they've learned.
Multiplayer AI for human-agent collaboration
Dust is the multiplayer AI platform where people and agents collaborate as co-contributors, sharing the same company knowledge, tools, conversations, and goals. It gives teams a shared workspace that turns individual AI use into compounding organizational capability. AI Operators at 3,000+ organizations use Dust to build, deploy, and continuously improve the agents that power their work. No code required to get started.
Features
Multiplayer AI workspace — People and agents share the same knowledge, tools, conversations, and notifications, so improvements compound across the team instead of staying trapped with one person.
GTM and RevOps workflows — Research accounts and generate briefings, draft proposals from product info and case studies, score leads from engagement signals, and extract action items from calls.
Semantic knowledge layer — Goes beyond keyword retrieval: agents synthesize company knowledge across your tools so they understand context, not just pull matching documents.
Agents that get smarter over time — Best practices consolidate into shared skills. A correction from one user applies across the whole org. Your fiftieth workflow is easier to build than your fifth.
Custom AI agents, no code — Describe a workflow in plain language and deploy a specialized agent in minutes, built for the operators closest to the work, not just engineers.
100+ native integrations — Connects to Slack, Notion, Salesforce, Google Drive, GitHub, and the rest of your stack, turning your existing tools into the agent's memory.
Multi-model flexibility — Switch between frontier models from OpenAI, Anthropic, Google, and Mistral to fit each workflow, without lock-in.
Enterprise-grade security and governance — Dual-layer permission model, SCIM-synced groups, audit logs, and SOC 2 Type II / GDPR / HIPAA compliance keep agent access and data locked down.
Our average member has more than 5 years of RevOps experience. That means you’ll have real-time access to seasoned professionals. All we ask is that you’re generous with your knowledge in return.
