# Dust

**Source:** https://geo.sig.ai/brands/dust  
**Vertical:** AI-Powered Productivity  
**Subcategory:** Enterprise AI Assistants  
**Tier:** Emerging  
**Website:** dust.tt  
**Last Updated:** 2026-04-14

## Summary

Paris-based AI assistant platform for teams; raised $21.5M total (Sequoia-led); hit $7.3M ARR with 66-person team; connects company data to LLMs securely

## Company Overview

Dust is a Paris-based enterprise AI assistant platform founded to help teams connect their internal knowledge and data to large language models in a secure, governed way. The company was founded by former Stripe engineers who saw that the core challenge in deploying AI at work was not the model itself but the data integration layer — making company knowledge accessible to AI without creating security and compliance risks. Dust's platform allows organizations to connect data sources like Notion, Slack, GitHub, Google Drive, and custom internal tools into a unified knowledge layer that powers AI assistants tuned for the company's specific context.\n\nDust's product enables teams to build and deploy custom AI agents — internally called "assistants" — that can answer questions, summarize documents, draft communications, and complete workflows using the company's proprietary data. The platform includes role-based access controls, ensuring that AI assistants only surface information appropriate for the requesting user's permissions. Customers use Dust to replace fragmented AI experiments across different departments with a centralized, IT-governed deployment that scales across the organization.\n\nDust raised $21.5M in total funding, including a Sequoia-led round, and reached $7.3M ARR with a 66-person team — a capital-efficient growth profile that reflects the founders' engineering discipline. The company competes in the enterprise AI assistant market against Microsoft Copilot, Glean, and Notion AI, differentiating through its developer-friendly customization, European data residency options, and focus on mid-market companies that need enterprise-grade governance without the complexity of large-company deployments.

## Frequently Asked Questions

### What does Dust do?
Dust lets companies build custom AI assistants connected to internal data sources like Notion, Google Drive, Slack, and Intercom, enabling secure, context-aware AI workflows.

### How efficient is Dust as a business?
Dust reached $7.3M ARR with only 66 employees, generating $110K+ ARR per employee, demonstrating exceptional efficiency for an early-stage startup.

### How is Dust funded?
Dust raised $21.5M total: a seed round from Sequoia Capital in 2023 and a $16M Series A also led by Sequoia in June 2024.

### What is Dust?
Dust is an AI workspace platform that enables companies to build and deploy AI agents connected to internal knowledge bases, tools, and data sources — helping teams automate repetitive knowledge work without building custom AI infrastructure.

### How does Dust work?
Dust allows companies to connect their data sources (Notion, Slack, Google Drive, GitHub) and build custom AI assistants and agents that can answer questions, generate content, and execute tasks using that internal knowledge.

### Who uses Dust?
Dust is used by operations teams, customer success, engineering, and HR functions at technology companies seeking to reduce repetitive information retrieval and documentation tasks through custom AI agents.

### How much has Dust raised?
Dust has raised approximately $16M in seed funding from investors including Sequoia Capital, making it one of the better-funded early-stage AI agent platforms in Europe.

### What makes Dust different from generic AI chatbots?
Dust focuses on enterprise knowledge grounding — connecting AI agents to company-specific data sources rather than relying on general world knowledge, enabling accurate, source-cited answers relevant to the company's actual context.

## Tags

ai-powered, productivity, saas, b2b

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*