Artificial intelligence has quickly become part of everyday workflows inside modern companies. Employees now rely on AI tools to draft emails, summarize meetings, generate code, and automate repetitive work. But despite rapid adoption, most organisations still struggle to turn AI usage into long-term organisational intelligence.
In many workplaces, AI remains isolated. One employee interacts with an assistant, receives an answer, and the knowledge disappears into a private chat window. The result is improved personal productivity but limited collaboration across teams.
Dust believes the future of enterprise AI will look very different.
The company has announced a $40 million Series B funding round led by Sequoia Capital and Abstract Ventures, with participation from Snowflake and Datadog. The latest investment brings Dust’s total funding to more than $60 million.
The startup is building what it describes as an “Operating System for AI Agents” — a platform that enables businesses to deploy, orchestrate, and govern AI agents that work collaboratively across teams, tools, and workflows.
Dust’s Vision for Multiplayer AI
According to Dust, most enterprise AI systems today operate in what it calls “single-player mode.” AI assistants are typically designed for individual productivity rather than shared organisational collaboration.
Dust wants to change that model by introducing what it calls “multiplayer AI.”
Its platform allows humans and AI agents to work together using shared projects, conversations, notifications, files, and company knowledge. Instead of isolated chatbot interactions, the system is designed to create collaborative environments where AI agents continuously contribute across departments and workflows.
“This is a century-defining transformation, and we're only in year three,” said Gabriel Hubert, Co-Founder and CEO of Dust.
Hubert believes the next major shift in workplace AI will not come from larger models alone, but from systems where humans and AI agents share the same operational context and collaborate in real time.
How Dust’s Enterprise AI Platform Works
Dust’s platform enables organisations to create and manage specialised AI agents connected to internal company data and workplace software tools.
The platform includes a shared collaboration layer where employees and AI agents can interact through:
- Shared conversations
- Project workspaces
- Notifications and task management
- File processing tools
- Cloud-based compute environments
A major part of Dust’s infrastructure is its intelligence layer, which integrates with more than 100 enterprise tools and data sources. This allows AI agents to access company context, understand workflows, and take actions based on real organisational information.
The company has also focused heavily on governance and enterprise security, which remain key concerns for large organisations deploying AI systems at scale.
Dust says the platform includes:
- SOC 2 Type II certification
- GDPR compliance
- EU and US data residency support
- Granular permissions and audit trails
- Usage monitoring and analytics
The startup also states that customer data is not used to train AI models.
Strong Enterprise Adoption Signals Growing Demand
Dust claims the platform is already used by more than 3,000 organisations, including several large global companies.
According to the company, more than 300,000 AI agents have been deployed across customer environments. Dust also reports 70 percent weekly active usage and zero churn in 2025, indicating strong customer retention and product engagement.
The traction comes as enterprises increasingly move beyond AI experimentation toward large-scale operational deployment.
Many businesses have already tested generative AI tools internally, but scaling those systems across teams introduces new challenges around governance, collaboration, permissions, and workflow integration.
Dust is positioning itself as part of the infrastructure layer designed to solve those problems.
Founded by Former Stripe and OpenAI Talent
Dust was founded by Gabriel Hubert and Stanislas Polu, who first met at Stanford in 2007.
The founders previously built TOTEMS, a data analytics startup acquired by Stripe in 2014. Following the acquisition, both spent several years helping scale products and teams at Stripe.
Polu later joined OpenAI as a research engineer, where he worked alongside Greg Brockman and Ilya Sutskever on AI reasoning research.
In 2022, Polu left OpenAI believing that existing AI models were already capable of driving major economic impact, but lacked the product infrastructure needed for enterprise-wide deployment. That idea later became the foundation for Dust.
Why Dust’s Funding Round Matters
The enterprise AI market is entering a new phase.
Over the past two years, much of the industry’s attention has focused on foundation models and consumer-facing AI assistants. But businesses are now searching for practical ways to integrate AI into everyday operations at scale.
That shift is increasing demand for platforms that can coordinate AI systems across entire organisations while maintaining governance, security, and operational control.
Investors believe Dust is building infrastructure for that next phase of enterprise AI adoption.
“We're in the early innings of a massive shift in how organisations use AI,” said Konstantine Buhler, Partner at Sequoia Capital.
“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.”
The company plans to use the new funding to improve self-learning AI agents, expand human-agent collaboration systems, and strengthen governance and orchestration capabilities for enterprise-scale deployments.
The Bigger Picture for Enterprise AI
The next generation of workplace AI may not be defined by standalone chatbots or isolated productivity tools.
Instead, the industry is moving toward collaborative AI systems capable of coordinating work across teams, departments, and entire organisations.
That evolution introduces new technical and operational challenges around trust, governance, infrastructure, and collaboration between humans and machines.
Dust is betting that enterprises will increasingly require AI operating systems rather than individual assistants.
If that vision proves correct, collaborative AI platforms could become one of the most important layers in the future enterprise software stack.
FAQs
What is Dust?
Dust is an enterprise AI startup building a platform that allows companies to deploy, manage, and govern collaborative AI agents across teams and workflows.
How much funding did Dust raise?
Dust raised $40 million in a Series B funding round led by Sequoia Capital and Abstract Ventures.
What does “multiplayer AI” mean?
Multiplayer AI refers to systems where humans and AI agents collaborate using shared company knowledge, workflows, projects, and tools instead of isolated chatbot interactions.
Who founded Dust?
Dust was founded by Gabriel Hubert and Stanislas Polu, former founders of TOTEMS, which was acquired by Stripe in 2014.
How many organisations use Dust?
Dust says its platform is used by more than 3,000 organisations, with over 300,000 AI agents deployed across customers.
