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Analysis
AddedMay 20, 2026
UpdatedJun 26, 2026
Dust

Dust

Dust is a multiplayer AI workspace where teams and AI agents collaborate as co-contributors with shared knowledge, tools, and context.

HQ
Paris, Île-de-France, FR
Founded
2023
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Contents

  1. 01Executive Summary
  2. 02Competitive Strengths
  3. 03Pricing Strategy
  1. 01Executive Summary
  2. 02Competitive Strengths
  3. 03Pricing Strategy

Memo

Dust is currently operating as a privately held company with dual headquarters in Paris and San Francisco. The company has raised $56.1M total across Series A ($16.1M) and Series B ($40M) rounds. As of 2026, Dust reports 149 employees on LinkedIn and serves 3,000+ organizations with 300,000+ deployed agents.

The company is backed by Abstract Ventures, Sequoia Capital, Snowflake Ventures, and Datadog (strategic investors). The product competes with enterprise AI workspace platforms including Glean Assistant and Viktor AI Employee. Dust is SOC 2 Type II certified and GDPR compliant with EU data residency.

Competitive Advantages

Dust differentiates itself as a multiplayer AI workspace where teams and agents collaborate as co-contributors, in contrast to single-player AI tools that focus on individual productivity. The platform features a semantic knowledge layer that synthesizes company information, allowing agents to understand rather than simply retrieve data.

Dust supports model flexibility across OpenAI, Anthropic, Google, and Mistral, and offers 100+ connectors to enterprise systems. The self-improving system learns from organizational work, accumulating memory and suggesting improvements. Enterprise-grade security includes SOC 2 Type II, GDPR, and HIPAA-ready compliance with granular dual-layer permissions.

Pricing Strategy

Dust offers a tiered pricing model designed for enterprise adoption. The platform includes a free trial and self-serve signup options, with paid plans scaling by team size and usage. Enterprise plans feature advanced security controls, SCIM provisioning, SSO integration, and custom deployment options.

The pricing structure supports per-seat and usage-based models, with dedicated support for larger deployments. Teams can start with a no-code approach and expand to developer APIs and custom MCP integrations as needs grow.