Dust Raises $40M Series B To Scale Multiplayer AI For Human-Agent Collaboration

The latest raise brings the company’s total funding to more than $60 million.

While most companies have adopted AI tools, few have become meaningfully more intelligent as organisations. Today, AI interactions are often isolated one employee prompts an assistant, receives an answer, and the context remains trapped in a private chat window.

The result is measurable productivity gains for individuals, but limited compounding value across teams.

Dust aims to change that by building what it describes as the operating system for AI agents. The platform enables businesses to deploy, orchestrate, and govern fleets of specialised AI agents that work safely alongside employees while connecting to company knowledge and existing tools.

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Positioned as a multiplayer AI system for human-agent collaboration, Dust allows business teams to build, deploy, and manage AI agents that operate across the organisation.

These agents are integrated with company data sources, connected to tools teams already use, and managed through enterprise-grade governance controls.

At the core of the product is a shared collaboration workspace where humans and AI agents work side by side across shared projects, conversations, tasks, notifications, and a cloud-based compute environment capable of processing files and generating documents.

Dust’s intelligence layer connects with more than 100 data sources and integrates directly with existing enterprise software, enabling agents to work with organisational context and take action. Built-in memory and reinforcement systems allow agents to improve over time by learning team preferences and proactively suggesting workflow enhancements.

The platform also includes enterprise governance capabilities such as granular permissions, cost and usage monitoring, audit trails, and agent analytics. Dust is SOC 2 Type II certified, GDPR compliant with EU and US data residency support, and contractually guarantees that customer data is not used to train foundation models.

Dust says the platform is now used by more than 3,000 organisations, including several globally recognised enterprises. More than 300,000 agents have been deployed on the platform, with customers reporting 70% weekly active usage and zero churn in 2025.

The company was founded by Gabriel Hubert and Stanislas Polu, who first met at Stanford University in 2007. The pair previously co-founded TOTEMS, a data analytics startup acquired by Stripe in 2014, before spending five years helping scale products and teams at the payments company.

Polu later joined OpenAI as a research engineer on Greg Brockman’s team, where he co-authored research on AI reasoning alongside Ilya Sutskever. Hubert went on to become Chief Product Officer at Alan.

In September 2022, Polu left OpenAI with the belief that while AI models were already powerful enough to drive major economic transformation, adoption was being constrained by the absence of a robust product layer a thesis that ultimately became the foundation for Dust.

The company plans to use the new funding to advance three key areas simultaneously developing agents that continuously learn and improve through usage, building collaboration systems where humans and agents operate as equal contributors across shared projects and tools and strengthening the infrastructure needed to deliver reliable governance and orchestration at enterprise scale.

"This is a century-defining transformation, and we're only in year three,” said Gabriel Hubert, Co-Founder and CEO of Dust. “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 so that they become true collaborators, working with the same context, notifications, artifacts, and goals to compound organisational impact.

This is what we call multiplayer AI, and this is what we’re building at Dust."