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Dust

Build AI assistants for internal team workflows

Dust helps teams create AI-powered assistants that answer internal questions, draft content, and analyze messy inputs like resumes or interview notes. The docs show it being used by HR and product teams for knowledge-based workflows that rely on company context.

Paid
Chrome Extension
B2B
No-Code
RAG
Copilot (Human-in-Loop)
For Teams
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About

What It Is

Dust is an AI agent platform for teams that want to build internal tools around company knowledge and workflows. The documentation shows use cases for HR, recruiting, product, and design teams, where the system helps with tasks like policy Q&A,...

What to Know

Dust looks useful when the task depends on organizational context and repeated document-heavy work. The strongest fit is for teams that want AI helpers embedded in internal processes, but it is not presented as a fully autonomous system that...

Key Features
Answers common HR and policy questions from internal knowledge
Coaches managers on written feedback and quality review
Drafts job descriptions from notes, templates, and examples
Scans CVs to extract structured data and generate screening questions
Organizes, corrects, and translates interview notes
Use Cases
HR teams answering recurring policy and process questions
Recruiters screening resumes and generating tailored interview questions
Hiring managers refining feedback and interview notes
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: Mar 28, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety

Categories

Pricing

Pricing not publicly available.

Details
AddedMarch 26, 2026
RefreshedMarch 28, 2026
Agenticness
Quick Facts
DeploymentCloud-hosted
AutonomySemi-autonomous
Model supportMulti-model
Open sourceNo
Team supportSmall team
Pricing modelSubscription
Interfaceweb, api
Sources
Last updated April 26, 2026
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