Multiplayer collaboration workspace
Dust provides a shared workspace where people and agents can work with the same knowledge, tools, conversations, and notifications.
Dust
RevendiquerDust is a multiplayer AI platform for teams to collaborate with people and agents in a shared workspace, connected to company tools and data.
What Dust is
Dust is a platform for human-agent collaboration that lets teams build, deploy, and run AI agents in a shared workspace. It is positioned as multiplayer AI, where people and agents contribute together rather than using AI as a one-person assistant.
The product connects to company tools and data so agents can use organizational context when answering questions or carrying out tasks. The site emphasizes custom agents, multi-agent workflows, and model flexibility, with support for both self-serve Business plans and Enterprise deployments.
Dust also provides an integration catalog and security-oriented controls for larger teams. The pricing and security pages indicate that organizations can start with seat-based self-serve plans and move to Enterprise for more advanced admin, data, and support requirements.
Core capabilities
Company knowledge and semantic context
The platform uses connected company data to help agents understand context rather than only retrieve isolated facts.
Custom agents and orchestration
Users can build custom agents with skills, knowledge, and tools, then run multi-agent workflows on schedules or event triggers.
Model flexibility
Dust supports frontier models from OpenAI, Anthropic, Google, Mistral, and DeepSeek, with model choice per agent.
Broad connector coverage
The integrations catalog shows connectors across categories such as communication, CRM, productivity, development, storage, and analytics, with support for tools like Slack, Notion, GitHub, Salesforce, and Google Drive.
Security and admin controls
The platform includes enterprise controls such as SSO, SCIM, audit logs, data residency options, and single-tenant deployment on the Enterprise plan.
Practical ways teams use Dust
Internal team assistance
Teams can build agents that answer questions, surface context, and carry out tasks using shared company knowledge, instead of working from isolated prompts.
Automated multi-step workflows
Operations and cross-functional teams can chain steps together with schedules or event triggers, such as recurring research, triage, or follow-up workflows.
Engineering workflows
Engineering and technical teams can connect docs, code, and issue context to support debugging, review, incident response, and documentation tasks.
Sales and revenue operations
Go-to-market teams can use connected CRM, communication, and productivity data to research accounts, qualify leads, draft proposals, and keep records current.
Knowledge-heavy team operations
Support, analytics, and content teams can turn resolved tickets, data questions, and campaign inputs into reusable knowledge, reports, and draft output.
Pros and Cons
Pros
- Combines shared collaboration, agents, and company context in one workspace.
- Supports a broad set of integrations and a public integrations catalog.
- Offers model choice across multiple frontier model providers.
- Includes business and enterprise options, including advanced admin and security controls on higher tiers.
- Shows pricing information up front for self-serve usage, with a path to talk to sales for larger deployments.
Cons
- The public pages provide limited detail on how setup, governance, and workflow design work in practice.
- Some capabilities are described broadly on the site, but the sources do not fully enumerate every connector, trigger, or deployment option.
- Enterprise-oriented controls are available, but the public pages do not give complete detail on all compliance or regional availability nuances.
FAQ
How is Dust priced?
Dust’s pricing page says Business plans use seat-based pricing with Free, Pro, and Max seat types, while Enterprise is handled by talking to sales. The product is also available to try for free from the homepage.
Who is Dust for?
Dust is designed for teams that want people and agents to work in the same workspace, sharing context, tools, conversations, and notifications. The site positions it as a fit for AI Operators building and running agents for their teams.
What systems can Dust connect to?
The integrations page says Dust connects to 50+ tools and data sources, and the pricing page highlights connectors for Slack, Notion, GitHub, Drive, and other tools, plus access through MCP.
What kinds of workflows can teams build?
Dust’s source pages describe workspace collaboration, agents that use connected company knowledge, and workflows that can run on schedules or triggers. The site also shows support for team collaboration workspaces, custom agents, and multi-agent orchestration.
What is different about Enterprise?
The pricing and security pages indicate that Enterprise adds controls such as SCIM, audit logs, custom retention, single-tenant deployment, custom legal terms, and dedicated support. Business includes core collaboration and integration features, while Enterprise is intended for organizations that need more admin and security controls.
Quick Facts
- Category
- Multiplayer AI platform
- Primary use
- Human-agent collaboration in a shared workspace
- Pricing model
- Seat-based Business plans plus Enterprise sales
- Integrations
- 50+ tools and data sources listed
- Source domain
- dust.tt
- Deployment focus
- Self-serve teams and enterprise organizations