Dust raises $40M Series B
- Dust said on May 18 it raised a $40 million Series B co-led by Abstract and Sequoia for its enterprise human-agent collaboration platform. (dust.tt) - The company said more than 3,000 organizations use Dust, with over 300,000 agents deployed, as Snowflake Ventures and Datadog joined the round. (dust.tt) - Dust said the new funding will accelerate product building around “multiplayer AI”; the company is also hiring, according to its website. (dust.tt)
Dust said on May 18 that it raised a $40 million Series B co-led by Abstract and Sequoia, adding Snowflake Ventures and Datadog as backers of its enterprise AI platform. The Paris-based company said the funding will be used to accelerate what it calls “multiplayer AI,” a system designed for humans and AI agents to work inside shared workflows rather than through isolated assistants. (dust.tt) The round follows Dust’s additional $16 million financing announced in June 2024, which was also led by Sequoia. Dust said it was founded in February 2023. ### Why did Dust frame this round around “multiplayer AI”? (dust.tt) Gabriel Hubert, Dust’s co-founder, said in the company’s funding announcement that businesses do not need “standalone agents rolled out employee by employee,” but “a shared system where humans and agents can work together in parallel, with the same context, tools, and aligned goals.” Dust uses the term “multiplayer AI” for that model. Dust said many companies remain stuck in what it described as “single-player AI mode,” where individual workers each use their own assistant with limited context and tools. (dust.tt) In its account, the problem is not only generating outputs, but coordinating reviews, approvals, handoffs and visibility across teams and agents. ### What does the company say it has built so far? Dust said more than 3,000 organizations use its platform globally and that users have deployed more than 300,000 agents across those companies. The company said Doctolib uses Dust in an AI strategy reaching 3,000 employees, while Persona has deployed more than 300 Dust agents across 11 departments. (dust.tt) The company’s website says its agents connect to company tools and data so that workflows can be shared across teams. Dust also says the platform is built for collaboration across departments, teams and agents, and its product pages describe integrations with systems including Snowflake. (dust.tt) ### Who is backing Dust, and what does that say about the round? Abstract and Sequoia co-led the new financing, while Snowflake Ventures and Datadog also participated, Dust said. Sequoia had already led Dust’s €5 million seed round in June 2023 and its $16 million additional financing in June 2024, making this the third disclosed Dust round backed by Sequoia. (dust.tt) Snowflake’s participation also fits an existing commercial link. Dust’s product materials say customers can connect Snowflake data warehouses to agents and query data in plain English through the platform. (dust.tt) ### How does this fit into Dust’s earlier pitch? June 26, 2024, Dust described its product as a platform for teams to design and deploy specialized AI agents connected to company knowledge and tools from providers including Anthropic, Google, OpenAI and Mistral. At that time, the company said it had passed $1 million in annual recurring revenue and that 70% of monthly active users were active weekly. (dust.tt) May 18, 2026, Dust presented a broader argument. The company said the constraint for enterprise AI is shifting from whether an agent can produce work to whether organizations can coordinate many people and many agents at once. (dust.tt) That framing moves Dust’s pitch from individual task automation toward shared operating workflows. ### What comes next after the financing? Dust said the Series B will accelerate building its platform for human-agent collaboration. The company’s blog and jobs pages show continued product updates in 2026 and active hiring, including posts tied to engineering and go-to-market growth. (dust.tt) February 9, 2026, Dust published a product update adding new tools including Snowflake connections, while April 2026 posts on its blog focused on outbound automation, collaboration problems in AI adoption, and internal use cases. Those updates give the clearest near-term markers for how the company is putting the new capital to work. (dust.tt 1) (dust.tt 2)