Dust raises USD $40 million for workplace AI platform

Dust has raised USD $40 million in a Series B funding round led by Abstract and Sequoia.

Snowflake Ventures and Datadog also participated, bringing Dust's total funding to more than USD $60 million.

Dust sells a workplace AI platform that lets business teams build and manage software agents across shared company systems and information. The product is designed to move AI use beyond one-to-one chatbot interactions and into team workflows.

The funding comes as businesses continue to test how generative AI can be used beyond individual productivity tasks. Many companies have rolled out assistants for staff, but software suppliers are increasingly trying to connect those tools to shared processes, internal knowledge and operational systems.

Dust now serves more than 3,000 organisations globally, with 51,000 monthly active users and more than 300,000 agents deployed across its platform. Weekly active usage is above 70% across customers, and the company said it recorded zero churn in 2025.

The company describes its system as a collaborative layer where people and AI agents work with the same context, tools, conversations and tasks. It integrates with more than 100 data sources and business tools.

That setup allows agents to retrieve company information, generate documents and presentations, analyse data, and take actions in connected software. The system also includes controls for permissions, usage monitoring, audit trails and analytics.

Gabriel Hubert, Co-Founder and Chief Executive Officer of Dust, said the company sees a structural shift in how organisations will use AI.

"This is a century-defining transformation, and we're only in year three. 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 organizational impact. This is what we call multiplayer AI, and this is what we're building at Dust," said Gabriel Hubert, Co-Founder and Chief Executive Officer, Dust.

Growth metrics

Customer adoption has grown quickly as companies look for ways to spread AI use across departments rather than leave it with individual users. Dust said its net revenue retention reached 240% in 2025.

Its customers range from newer AI-focused businesses to larger established groups. Named users include Vanta, Clay, Profound, Persona and Doctolib.

At Vanta, Dust is used across sales, customer success and revenue operations. The company added that Doctolib has made the system central to its internal AI approach, using it to replace older intranet tools for thousands of employees.

Stevie Case, Chief Revenue Officer at Vanta, described the effect on internal work.

"Dust quickly became the platform our team runs on. 900 people across sales, customer success, and revenue operations save thousands of hours a week on tasks like business review prep, outbound prospecting, and forecasting. They saved this time not because it was mandated, but because the agents were built by the people closest to the work. Dust enabled the whole team to collaborate in building agents that deliver measurable value, realizing the compounding effect I've been waiting for AI to achieve," said Case.

Founders' background

Dust was founded by Gabriel Hubert and Stanislas Polu, who previously worked together at analytics company TOTEMS before it was acquired by Stripe. Both later held senior roles elsewhere, with Polu joining OpenAI as a Research Engineer and Hubert becoming Chief Product Officer at Alan.

The company was incorporated in 2023. Its founding idea was that AI models were already strong enough to be useful in business, but needed better software products around them to make them practical inside organisations.

Investors in the round framed that argument around changing patterns in enterprise software use. They said the current market is still dominated by isolated chatbot-style applications rather than systems that retain context across teams.

"We're in the early innings of a massive shift in how organizations use AI. Most enterprise AI today is single-player: one person, one prompt, no compounding. Dust is building the multiplayer system, where agents and humans share context and work together across the entire company. Zero churn and 70% weekly active usage tell you this isn't experimental anymore. This is how enterprises will actually operate," said Konstantine Buhler, Partner, Sequoia.

Abstract made a similar case for the investment, pointing to teams that build internal agents for specific workflows rather than relying on a single assistant interface.

"Most AI platforms are stuck in single-player mode: one person, one chatbot, one task. Dust is multiplayer. AI Operators inside companies like Datadog and 1Password don't just use Dust; they build agents that collaborate across teams, learn from every interaction, and rewire how the entire company works. That's a new operating model and category. That's why we participated in this round," said Ramtin Naimi, General Partner, Abstract.