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Dust
Dust is a multiplayer AI workspace where teams and agents collaborate using shared knowledge, tools, and workflows.
Dust
Multiplayer AI workspace for teams and agents
What is Dust?
Dust is an enterprise AI platform for human-agent collaboration, designed as a shared workspace where teams build, run, and improve AI agents using company knowledge, tools, and integrations.
How to use Dust?
- 1Connect your company tools and data sources.
- 2Set up shared agent workflows for specific teams or departments.
- 3Define permissions, access controls, and model preferences.
- 4Deploy agents into daily workflows like support, sales, engineering, or analytics.
- 5Monitor outputs, refine behavior, and reuse successful workflows across the organization.
Dust Key Features
- Shared workspace for people and agents
- Semantic company knowledge layer
- Multi-tool integrations and connectors
- Model flexibility across major frontier models
- Dual-layer permissions and RBAC
- SCIM, SSO, and audit logs
- Workflow automation for departments
- Agent learning and reusable skills
Dust Use Cases
- Lead qualification and CRM updates
- Support ticket triage and draft responses
- Engineering debugging and incident response
- Marketing brief generation and content workflows
- Self-service analytics and report drafting
- Knowledge synthesis into reusable internal docs
Dust Pricing & Free Credits
Dust currently operates on a Free, Free Trial, Custom Pricing model.
Dust Pros & Cons
Pros
- Built for team collaboration, not single-user prompts
- Strong enterprise security and permission controls
- Broad integrations and workflow automation
- Supports multiple leading AI models
- Useful across departments and operational teams
Cons
- Pricing details are not publicly transparent
- Best fit appears to be teams rather than individual users
- May require setup to realize full value
What is Dust best for?
- Enterprise teams adopting agentic workflows
- Operations teams in sales, support, and marketing
- Engineering and analytics teams automating internal work
- Organizations that need secure, shared AI collaboration