Dust raises $40M Series B
- Dust said on May 18 it raised a $40 million Series B from Abstract, Sequoia, Snowflake Ventures and Datadog to expand its enterprise AI-agent platform. - The company said more than 3,000 organizations use Dust and employees at those customers have deployed more than 300,000 agents on the platform. - Dust said the new funding will accelerate product development and hiring in 2026, with Sequoia, Abstract, Snowflake Ventures and Datadog participating.
Dust said on May 18 that it raised a $40 million Series B to expand its platform for building and coordinating AI agents inside companies. The Paris-based startup said the round included Abstract, Sequoia, Snowflake Ventures and Datadog. Dust said the money will be used to accelerate product development and hiring in 2026. The company is pitching its software as a way for teams to run multiple AI agents with shared context, tools and approvals rather than using one-off assistants for individual employees. ### What exactly did Dust announce? Dust announced the financing in a company blog post published on May 18, with co-founder and CEO Gabriel Hubert describing the product category as “multiplayer AI.” The company said organizations need a shared system in which humans and agents can work in parallel with the same context, tools and goals. The investor list in Dust’s announcement included Abstract, Sequoia, Snowflake Ventures and Datadog. (dust.tt) Sifted also reported that the Paris-based company had closed a $40 million Series B, bringing total funding raised to more than $60 million. ### What does Dust sell to customers? Dust said its platform lets companies build agents connected to internal knowledge, tools and workflows, then share those agents across teams. (dust.tt) On its website, the company describes the product as a workspace where people and agents have shared access to knowledge, tools, conversations and notifications. TechCrunch reported in June 2024 that Dust’s assistants could connect to company systems such as Notion, Google Drive, Intercom and Slack. (dust.tt) That report said companies could create multiple specialized assistants for functions such as support, HR, engineering, data and sales, rather than relying on a single general-purpose chatbot. (dust.tt) ### How large is the business now? Dust said it is used by more than 3,000 organizations globally. The company also said people at those customers have deployed more than 300,000 agents on the platform. Dust named several customers in its funding post, including Clay, Profound, Persona and Doctolib. 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. (techcrunch.com) ### Why are Snowflake Ventures and Datadog in the round? Snowflake Ventures is the investment arm tied to Snowflake’s broader startup and AI ecosystem efforts. (dust.tt) Snowflake says its startup programs are aimed at helping companies build and scale applications on the Snowflake AI Data Cloud, and its venture arm backs emerging AI and data startups. Datadog’s participation appeared in Dust’s own announcement, though Dust did not disclose individual check sizes or board changes in the materials reviewed. (dust.tt) The company also did not disclose a valuation in the sources available. ### How does this fit with Dust’s earlier fundraising? TechCrunch reported that Dust raised a $16 million Series A in June 2024 led by Sequoia Capital. That earlier round came as the company positioned itself around custom enterprise AI assistants linked to internal company data. (snowflake.com) The new round keeps Sequoia in the cap table and adds new strategic investors tied to enterprise software and data infrastructure. (dust.tt) Sifted reported that the Series B takes total funding to more than $60 million. ### What comes next for Dust after the round? Dust said the Series B proceeds will go toward expanding the platform and speeding up hiring and product work this year. The company’s May 18 post framed the next phase around building more secure, coordinated systems for human-agent collaboration inside enterprises. (techcrunch.com) In 2026, Dust is also continuing to publish product guidance around model choice and enterprise agent deployment on its company blog, where it posted the funding announcement and related product updates. (sifted.eu) (dust.tt 1) (dust.tt 2)