Series B round led by Abstract and Sequoia to scale its multiplayer AI platform for human-agent collaboration. The company now serves more than 3,000 organizations, reached 41,000 monthly active users in April 2026, and has deployed over 300,000 agents across the platform.
Most companies have adopted AI, but they haven’t become meaningfully more intelligent as organizations. One person prompts an assistant, gets an answer, and the context disappears into a private chat window. The result is real productivity at the individual level, with very little compounding across teams. Dust, the multiplayer agentic AI system, was built to change that by making AI collaborative, shared, and operational across an entire company.
The company today announced a $40 million Series B led by Abstract and Sequoia, with participation from Snowflake and Datadog. With this round, Dust has raised over $60 million in total funding.
Why this matters now
Most organizations are stuck in what Dust calls single-player AI. Every employee has their own assistant with its own context and its own outputs. A sales rep researches an account, then the solutions engineer starts from scratch the next day. Marketing drafts a one-pager, then enablement recreates a battlecard with different inputs. The effort repeats, knowledge fragments, and gains don’t compound.
Dust argues that most AI tools used by enterprises reinforce this pattern. Foundation model workspaces and copilots are powerful, but they’re primarily designed around one individual’s workflows and context. Enterprise search tools retrieve information, but don’t take action. The outcome is more activity and more AI usage at the individual user-level, but not an intentionally designed system that compounds AI into shared leverage.
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“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 organizational impact. This is what we call multiplayer AI, and this is what we’re building at Dust.”
What Dust is building
Dust is the multiplayer AI system for human-agent collaboration. It’s a platform where business teams build, deploy, and manage AI agents that work together across an organization, connected to company knowledge, integrated with the tools teams already use, and governed with enterprise-grade controls.
The product is built around a shared collaboration surface where teams and agents work in the same workspace with shared projects, context, conversations, to-dos, notifications, and a cloud-based compute environment for processing files and generating documents. An intelligence layer connects more than 100 data sources and integrates with tools teams already rely on, enabling agents to work with company context and take action. Built-in memory and reinforcement loops help teams achieve more impact with AI over time by understanding their preferences and proactively recommending agent improvements. Enterprise governance provides granular permissions, cost and usage monitoring, a full audit trail, and agent analytics. Dust is SOC 2 Type II certified, GDPR compliant with EU and US data residency, and does not train models on customer data, as contractually guaranteed by major providers.
Dust is built for what it calls AI Operators, the people inside functions like Ops, Support, Marketing, and Sales who build and run AI systems for their teams without waiting for engineering.
Traction and customer outcomes
Dust is used by more than 3,000 organizations, many of them household names. Over 300,000 agents have been deployed across the platform, with 70% weekly active usage across customers and zero churn in 2025.
“Dust quickly became the platform our revenue team runs on,” said Stevie Case, CRO at Vanta. “Forty-six people across sales, customer success, and revenue operations save 400+ hours a week on tasks like QBR prep 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. That’s the compounding effect I’ve been waiting for AI to deliver.”
For Clay, work that used to take its GTM team hours digging through Slack and documentation now comes back as instant, contextual answers. Watershed cut a recurring data-mapping workflow from two to three hours to a few minutes with Dust, reaching a 78% success rate. In Europe, Qonto estimates 50,000+ hours saved annually across 50+ specialized agents, with over 1,000 employees using Dust daily.
The origin
Dust was founded by Gabriel Hubert and Stanislas Polu, who have been building together since meeting at Stanford in 2007. They previously co-founded TOTEMS, a data analytics company acquired by Stripe in 2014, and spent five years at Stripe scaling products and teams. Polu later joined OpenAI as a research engineer on Greg Brockman’s team, co-authoring papers on AI reasoning with Ilya Sutskever. Hubert became Chief Product Officer at Alan.
In September 2022, Polu left OpenAI with a conviction that became Dust’s founding thesis: the models were already powerful enough to be economically transformative, but were under-deployed because the product layer was missing. Dust incorporated in February 2023 to build that horizontal layer on top of frontier models and company knowledge, with a model-agnostic approach that avoids vendor lock-in.
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“We’re in the early innings of a massive shift in how organizations use AI,” said Konstantine Buhler, Partner at Sequoia. “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.”
“Most AI platforms are stuck in single-player mode: one person, one chatbot, one task,” said Ramtin Naimi, General Partner at Abstract. “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.”
What’s next
Dust plans to use this round to push three frontiers at once: agents that learn and improve automatically as they’re used, collaboration primitives that make humans and agents equal co-contributors with bidirectional access to shared projects, tools, and context, and infrastructure that makes governance and orchestration predictable at enterprise scale. The bet is that the next phase of enterprise AI won’t be won by who has the best single assistant. It’ll be won by who turns AI into shared, compounding capability across the entire org.
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