Dust is a Paris-founded platform where companies build custom AI assistants grounded in their own tools, documents and conversations.
Dust lets teams assemble assistants from building blocks: connections to Notion, Slack, Google Drive and databases, retrieval over company knowledge, and workflows with deterministic steps around LLM calls. Instead of a single general chatbot, companies get specialized assistants for support, engineering and operations, with observability over what each assistant does. The product is popular with tech-forward companies that want agents they can inspect and improve, not black boxes.
Dust has a free tier for individuals building assistants, then per-seat subscription plans for teams and companies, with enterprise tiers for security and scale.
Startups and tech companies that want internal AI assistants grounded in their own knowledge, with the control to iterate on prompts and workflows.
Dust is for companies that want AI assistants grounded in their own operations — not another generic chat window.
Connect a data source, describe the assistant’s job and test in the playground. Teams iterate on prompts and workflows with full visibility into every run.
Assistants give answers that actually match company policy and knowledge, and usage analytics show where to invest next.
Connectors, workspace setup and assistant configuration are self-serve; teams iterate with run logs and evaluations visible for every change.
Assistant quality tracks the knowledge you connect, and governance requires deliberate permission setup as usage grows.
Users like assistants that actually match internal process instead of guessing at company policy.
Individuals can start free; teams subscribe per seat to unlock collaboration, connectors and enterprise security features.
Yes — assistants can be invoked programmatically, and Dust’s workflows can call external APIs as tools inside agent runs.
Against consumer assistants, Dust is grounded in company data with full workflow control; against enterprise suites, it is faster to deploy and easier to inspect.
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