NewDust announces Series B to fuel next chapter of growth

Multiplayer AI for

Dust is multiplayer, multi-model AI that gives digital teams of people and agents a single place to work together in parallel, with shared knowledge, tools, and skills, and governed by design.

Bring teams, models, and systems together around the work

Dust chat interface with conversation history, projects, and an agent ready to help
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Multiplayer AI built for real, cross-functional work

Put a deep understanding of how your company works, through semantic search and 70+ out-of-the-box MCP connectors, into action.
Orchestrate complex work across digital teams of people and agents using Pods and Frames, powered by a shared virtual computer and automations.
Execute structured and unstructured work using reusable, governable AI skills, agents, and memory that compound with use.

Use any model, switch any time, and control your data

Build custom agents with 20+ frontier and open-source models from OpenAI, Anthropic, Google, Mistral, and more. Choose the right model for each workflow and switch as your needs change.
Credit-based pricing and usage analytics by agent and model show what each workflow costs, helping you balance performance and efficiency with spend.
Protect your company's data from vendor lock-in and geopolitical risk by controlling where it is processed and which model providers you rely on.
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Govern AI usage and costs across people and agents

Control access to data, tools, and systems across teams of people and agents. Use Spaces and Groups to define permissions, with audit logs to track activity.
Track and manage AI usage and adoption across the organization with analytics that show how agents and models are being used over time.
Measure ROI, forecast consumption, and manage AI costs. Use programmatic rate limits to control automated usage and manage a shared credit pool across teams and workflows.

Capabilities built for AI Operator

Pods

Persistent shared workspace where humans and agents collaborate around any topic, project, or initiative. Shared conversations, tasks, files and agents, all in one place.

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Self-improving skills

Skills that get smarter with every use. As your team runs agents, the system learns and improves, compounding your organization's intelligence over time without any manual effort.

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