---
title: Dust Raises $40 Million Series B to Build an Enterprise AI Platform Where Agents and Employees Share the Same Workspace
description: Multiplayer AI platform Dust raises $40 million in Series B funding led by Abstract and Sequoia. The company serves 3,000 organisations with 300,000 deployed AI agents and reports zero churn in 2025.
author: Darie Nani (Editor-in-Chief)
date: 2026-05-18T12:03:28.015Z
updated: 2026-05-18T12:03:28.027Z
canonical: https://www.sovereignmagazine.com/article/dust-ai-40m-series-b-enterprise-platform
image: https://cdn.nanimediahouse.com/dust-founders-featured.webp
categories: Artificial Intelligence, Startups
content_type: Spotlight
region: San Francisco
publication: Sovereign Magazine
about:
  - type: Organization
    name: Dust
    description: Dust is a multiplayer AI platform for enterprise human-agent collaboration. Founded in February 2023 by Gabriel Hubert and Stanislas Polu, the company enables businesses to build, deploy, and manage AI agents that work alongside employees in shared workspaces. Headquartered in San Francisco and Paris.
    url: https://dust.tt
    foundingDate: 2023-02-01T00:00:00.000Z
    industry: Artificial Intelligence
    sameAs:
      - https://www.linkedin.com/company/dust-tt/
      - https://github.com/dust-tt/dust
---

Dust, the enterprise AI platform built around shared agent workspaces, has raised $40 million in a Series B round led by Abstract and Sequoia, with strategic participation from Snowflake Ventures and Datadog. The round brings total funding to more than $60 million.

The San Francisco and Paris-based company, founded in February 2023, now serves more than 3,000 organisations, reports 41,000 monthly active users, and has deployed over 300,000 AI agents across its platform. Revenue has grown nine-fold since 2024, and the team has expanded to roughly 100 employees.

## Why Sequoia invested in Dust AI for a third consecutive round

Sequoia has now led Dust's seed ($5.5 million, June 2023), Series A ($16 million, June 2024), and Series B. Three consecutive rounds from the same lead investor is uncommon in venture capital, particularly at this pace.

Konstantine Buhler, partner at Sequoia, framed the investment around what he calls the "agent economy," a market he projects at more than $10 trillion, representing the broader services economy where autonomous software agents begin performing work currently done by people.

"Most enterprise AI today is single-player: one person, one prompt, no compounding," Buhler said. "Dust is building the multiplayer system, where agents and humans share context and work together across the entire company. Zero churn and 70 percent weekly active usage tell you this isn't experimental anymore."

The zero-churn figure covers the whole of 2025. Dust reports 70 percent weekly active usage across its customer base, a retention metric that would be strong for any enterprise software category, let alone one this new.

## What the enterprise AI platform does differently

Most AI tools deployed in large organisations follow a pattern Dust describes as "single-player AI." An employee opens a chatbot, asks a question, gets an answer, and the context vanishes. A sales representative researches an account; the solutions engineer starts from scratch the next day. The work repeats and the knowledge does not compound.

Dust takes a different approach. Its platform creates shared workspaces where human employees and AI agents operate with the same context, the same documents, and the same task lists. Agents are built and managed by what the company calls "AI Operators," typically people in operations, sales, support, or marketing who configure agents for their teams without writing code.

The platform connects to more than 100 data sources, including Slack, Notion, and internal documentation. It supports models from Anthropic, OpenAI, Google, and Mistral. The core platform is open source, with enterprise features, EU data residency, and SOC 2 Type II certification available on managed plans.

## How human AI collaboration works at Vanta and Qonto

[Vanta](https://www.sovereignmagazine.com/article/cybersecurity-solutions-trust-management-platform-vanta-hits-2-45b-valuation), the compliance automation company, has 46 people across sales, customer success, and revenue operations using Dust. The team saves more than 400 hours per week on tasks such as quarterly business review preparation.

"Dust quickly became the platform our revenue team runs on," said Stevie Case, chief revenue officer at Vanta. "Not because it was mandated, but because the agents were built by the people closest to the work, and the whole team collaborates alongside them."

Qonto, the European business finance platform, estimates 50,000 hours saved annually across more than 50 specialised agents, with over 1,000 employees using Dust daily. Clay, the sales intelligence company, said work that previously required hours of searching through Slack and documentation now returns instant answers. Watershed, the enterprise sustainability platform, cut a recurring data-mapping workflow from two to three hours down to minutes.

## The founders who built an AI agents for business platform after Stripe and OpenAI

Dust's founding story is unusual in that both co-founders have already built and sold a company together, then spent years at two of the most consequential technology companies of the past decade before reuniting.

Gabriel Hubert and Stanislas Polu met at Stanford in 2007. They co-founded TOTEMS, a data analytics company, which Stripe acquired in 2014. Both spent five years at Stripe. Hubert went on to become chief product officer at Alan, the French health technology company. Polu joined OpenAI as a research engineer, where he co-authored papers on neural theorem proving with Ilya Sutskever and contributed to GPT-f, the first AI system whose mathematical proofs were accepted into a formal mathematics library.

Polu left OpenAI in late 2022 with what became Dust's founding thesis: the underlying models were already powerful enough to be economically transformative, but the product layer required to deploy them usefully inside organisations did not exist.

"This is a century-defining transformation, and we're only in year three," Hubert said. "What will transform the way we work isn't the next best model or assistant. It's going to be a completely new type of system that gives humans and agents shared, governed access to the same information and capabilities."

## Enterprise AI adoption and what the $40 million will fund

Dust plans to use the capital across three areas: agents that learn and improve automatically through use, collaboration tools that make humans and agents equal participants in shared projects, and infrastructure for governance and orchestration at enterprise scale.

The broader market for [agentic AI](https://www.sovereignmagazine.com/article/zalos-agentic-ai-finance-seed-round) platforms surpassed $9 billion in 2026 and is projected to reach $47.8 billion by 2030, according to industry estimates. Gartner projects that 40 percent of enterprise applications will embed task-specific AI agents by the end of 2026.

Dust competes in a field that includes [Salesforce's Agentforce](https://www.sovereignmagazine.com/article/how-salesforce-s-60-billion-ai-bet-is-reshaping-the-enterprise-software-landscape), Microsoft 365 Copilot, and a growing number of venture-backed startups. Its differentiators are the open-source foundation, the focus on non-technical builders, and the shared workspace model rather than the personal assistant approach taken by most competitors.

Ramtin Naimi, general partner at Abstract, said: "Dust is multiplayer. AI Operators inside companies don't just use Dust; they build agents that collaborate across teams, learn from every interaction, and rewire how the entire company works."

The company was ranked second on the 2026 Enterprise Tech 30, early stage.

**About Dust**

Dust is a multiplayer AI platform for enterprise human-agent collaboration. Founded in February 2023 by Gabriel Hubert and Stanislas Polu, the company enables businesses to build, deploy, and manage AI agents that work alongside employees in shared workspaces. Headquartered in San Francisco and Paris.

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

## FAQ

**Q: What is Dust AI and how does it work?**
Dust is an enterprise AI platform where businesses build, deploy, and manage AI agents that work alongside employees in shared workspaces. It connects to more than 100 data sources, supports multiple AI models, and is designed for non-technical users to configure agents for their teams.

**Q: Can AI agents work together across teams?**
Dust's platform is specifically built for this. Rather than each employee using a separate AI assistant, Dust creates shared workspaces where multiple agents and employees operate with the same context, documents, and task lists. The company reports more than 300,000 agents deployed across its customer base.

**Q: Who founded Dust and what is their background?**
Dust was co-founded by Gabriel Hubert and Stanislas Polu, who met at Stanford in 2007. They previously co-founded TOTEMS, which Stripe acquired in 2014. Hubert later served as chief product officer at Alan, while Polu was a research engineer at OpenAI working on AI reasoning with Ilya Sutskever.

**Q: What can an AI agent platform do for a business?**
Enterprise AI agent platforms automate repetitive tasks, retrieve information from company knowledge bases, and coordinate work across teams. Dust's customers report significant time savings: Vanta's revenue team saves more than 400 hours per week, and Qonto estimates 50,000 hours saved annually across more than 50 specialised agents.
