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Dust.tt
Platform for building internal AI assistants connected to company data
Visit Dust.tt
https://dust.tt
About Dust.tt
Dust is an AI platform for building internal AI assistants and agents that are connected to your company's knowledge bases, tools, and data. Teams use Dust to create custom AI workflows for customer support, sales, HR, and engineering — combining multiple data sources with the best LLMs in a no-code interface.
Key Features
Dust.tt Pros & Cons
✅ Pros
- +Deep data source integrations make AI actually useful for company context
- +Multi-model flexibility — pick the best LLM per task
- +No-code builder means anyone can create assistants
- +Strong for internal knowledge retrieval (support, onboarding, HR)
- +Transparent about how RAG works — builds trust with technical teams
⚠️ Cons
- −Data sync frequency varies — real-time data is limited
- −More setup required than off-the-shelf tools like Notion AI
- −Pricing scales up quickly for large teams
- −Best results require well-organized source data
Who Is Dust.tt Best For?
Dust.tt Use Cases
💡Customer Support AI Assistant
A SaaS company connects Dust to their Notion help documentation, Intercom conversation history, and GitHub issues. They build a support AI assistant that answers common customer questions with specific, accurate answers — and when it can't answer, it surfaces the most relevant doc for the support agent. First-response time drops 60%.
💡Engineering Onboarding Assistant
A startup connects Dust to their GitHub repos, Notion engineering docs, and Slack channels. New engineers ask the Dust assistant questions about codebase architecture, deployment procedures, and team conventions. What used to require interrupting senior engineers dozens of times per week is handled autonomously — accelerating new hire productivity.
💡Sales Competitive Intelligence Agent
A sales team builds a Dust agent connected to their CRM won/lost data, competitive battlecards, and product docs. Sales reps ask the agent 'How do we handle objections from Salesforce prospects?' and receive specific, data-backed responses — improving win rates against key competitors without requiring sales enablement training sessions.
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