Dust

Dust

Dust is an enterprise-grade, customizable AI agent platform that lets teams quickly build, deploy, and manage AI agents that connect internal knowledge bases and tools using no-code or low-code approaches. It is designed to boost collaboration and scalable knowledge management.
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Features of Dust

Offers a no-code/low-code environment to rapidly tailor and deploy AI agents.
Connects to internal data sources and tools (Slack, Notion, Google Drive, and more) to unify knowledge.
Supports multi-model access, enabling flexible use of leading AI models such as Anthropic, OpenAI, and Google.
Visual workflow designer to orchestrate agent actions with drag-and-drop.
Team collaboration and governance features to create and manage specialized AI agent teams.
Semantic search and data analytics capabilities; agents can query data and tackle complex problems.
Integrates with existing enterprise systems to ensure data synchronization and availability across the platform.
APIs and a developer platform to extend custom actions and orchestrate complex workflows programmatically.

Use Cases of Dust

Sales teams use it to automate customer insight analysis, generate personalized outreach emails, and quickly respond to proposal requests.
Customer support teams use it to draft replies, triage tickets, and extract actionable insights from support interactions.
Marketing and product teams use it to generate brand content, translate information, analyze user feedback, and craft product narratives.
Engineering and data analytics teams use it for code reviews, automatic document generation, report summarization, and data querying.
HR teams use it to provide personalized onboarding experiences and answer questions about company policies.
Cross-functional teams form specialized AI agent squads that collaborate with humans to optimize complex workflows.
Operations teams automate repetitive tasks, such as data entry, CRM updates, and report generation.
Knowledge-intensive teams turn internal document search into instant, traceable AI-powered Q&A.

FAQ about Dust

QWhat is Dust? What is it mainly used for?

Dust is an enterprise-grade AI agent platform that enables businesses to quickly build, deploy, and manage customized AI agents without writing code, connecting internal knowledge bases and tools to boost team productivity and automate workflows.

QDo I need programming experience to use Dust?

No. Dust provides a no-code/low-code visual builder; you can assemble action sequences with a drag-and-drop interface to create AI agents, no coding skills required.

QWhich enterprise data sources or tools does Dust support connecting to?

Dust connects to a wide range of common enterprise data sources and tools, such as Slack, Google Drive, Notion, Confluence, GitHub, Salesforce, Zendesk, and Microsoft SharePoint.

QHow does Dust pricing work? Is there a free trial?

Dust offers a 14-day free trial, cancel anytime during the trial. For official pricing and plans, please see the latest pricing page on the official site.

QCan Dust AI agents handle multi-language content?

Yes. With support for multiple major AI models, Dust AI agents can generate and process content in multiple languages, suitable for cross-language or cross-region use.

QWhat kinds of companies or teams is Dust suitable for?

Dust is designed for teams looking to boost operational efficiency, break knowledge silos, and automate repetitive tasks—across sales, marketing, customer support, engineering, HR, and operations.

QHow long does it take to deploy an AI agent on Dust?

According to official guidance and user examples, using the no-code builder you can create, connect data, and deploy a basic AI agent in minutes.

QHow does Dust handle data security and privacy?

The Dust platform emphasizes data security with fine-grained access controls. It offers end-to-end encryption, private spaces, and other enterprise-grade protections.

QCan developers extend Dust on the platform?

Yes. Dust provides a developer platform and APIs to build custom actions, integrate external services, and orchestrate more complex workflows to extend agent capabilities.