Dust

Custom AI agents: secure, connected to your company knowledge and tools, and powered by the best AI models. Join us: https://dust.tt/jobs.

Workplace Agents

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Founded

2023

Location

Paris

Employees

Funding

$16M Series A (2024)

Dust — Enterprise Agent Orchestration Platform

Overview

**Dust** is an enterprise-grade platform for building, running, and scaling AI agents that read company knowledge, take actions in tools, and ship work across systems. It’s fully **model-agnostic**, supporting **GPT-4**, **Claude**, **Mistral**, and **Gemini**, and emphasizes **security** and **workspace privacy** for IT and compliance teams. The company positions itself as an **“AI operating system”** for work across legal, ops, finance, engineering, and more.

Website: [dust.tt](https://dust.tt)

Category: [Agent orchestration platform for enterprises](https://dust.tt/home/solutions/dust-platform)

Security: [Enterprise security and privacy](https://dust.tt/home/security), [Vulnerability disclosure](https://dust.tt/home/vulnerability)

About: [AI OS for the enterprise](https://dust.tt/home/about)

Product and Platform

Dust spans no-code and developer tooling to move beyond chat and into real workflows:

**No-code agent builder** for quick setup by business teams

**Developer platform** for custom actions via **Dust Apps**, **MCP-based tools**, and the **Dust API**

**Managed runtime** that scales agent execution reliably, backed by Temporal

**Frames**: editable, visual outputs that turn agent results into shareable, actionable artifacts

Key focus areas:

Read, reason, and act across Slack, docs, code, and workflows

Governed access to internal knowledge sources

Production-grade orchestration with auditability and controls

Architecture and Reliability

Temporal-based workflow orchestration for resilient, recoverable runs

Reported **10M+ activities per day**, indicating mature reliability and scale

Model-agnostic execution with support for **GPT-4**, **Claude**, **Mistral**, **Gemini**

Integrations and Extensibility

Native integrations: **Slack, GitHub, Notion, Google Drive** and more

Extend with **MCP servers** and **custom Dust Apps** for any internal API or action

Event-driven workflows across connected tools with Temporal reliability

Security and Compliance

Enterprise-grade controls for data governance, workspace privacy, and IT approval

Vulnerability disclosure program for ongoing assurance

Pricing and Trial

**Pro** from **$29 per user/month**; **Enterprise** plans available by quote

**2-week free trial** prior to paid seats

Traction and Funding

**$16M** new funding in 2024

Reported **$6M ARR** as enterprise agent adoption grows

Who It’s For

CIOs, CTOs, platform teams standardizing AI across the company

Ops, RevOps, Support, and HR leaders automating routine workflows

Engineering and product teams running agent workflows in Slack, GitHub, and docs

Data and knowledge management teams unifying search and actions over internal sources

High-Value Use Cases

Company knowledge assistants for policies, SOPs, and tribal knowledge in Slack and docs

Legal and compliance reviews, privacy checks, drafting follow-ups

Engineering support: PR triage, docs updates, on-call summaries

GTM: account research, meeting note summaries, CRM hygiene, content drafts

HR and People Ops: onboarding, policy Q&A, manager guidance

Programmatic workflows via **Dust Apps** and **MCP tools** across systems

User Sentiment

Pros:

**Easy to build specialized business agents** without deep technical skills

**Flexible agent customization and collaboration** features

**Strong native integrations** for quick rollout: Google Workspace, Notion, Slack

**Enterprise-grade security** that fits IT needs

Useful for **cross-team knowledge access and workflow automation**

Cons:

**Seat-based pricing** can add up for larger rollouts

**Initial setup and data connections** require planning to get the best results

Fewer third-party reviews than older categories, so **benchmarking takes effort**

Quick Facts

Company: [Dust](https://dust.tt)

HQ: Paris, France

Team size: 51–200 employees; ~89 listed on LinkedIn

Models: **GPT-4, Claude, Mistral, Gemini**

Technical backbone: **Temporal workflows**, 10M+ daily activities

Trial: **2 weeks**; Pricing: **Pro from $29/user/month**; **Enterprise available**

Competitors to Evaluate

LangChain-based agent platforms, **Portkey**, **OpenAI Workflows**, **CrewAI**, **AirOps**, **Orq**, **Orchestra**, and enterprise copilots embedded in Slack/Microsoft 365

Why Dust

**End-to-end agent platform**: from no-code to developer-grade extensibility

**Security-first** with enterprise controls, suitable for company-wide rollout

**Reliable at scale** with Temporal-backed orchestration and high activity volumes

**Model-agnostic** flexibility to use the best LLM for each task

**Deep integrations** where work happens: Slack, GitHub, Notion, Google Drive

Looking to implement enterprise AI agents that actually do work—not just chat? Start with the [free trial](https://docs.dust.tt/docs/subscriptions) or explore the [platform overview](https://dust.tt/home/solutions/dust-platform).

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