Who uses it: Enterprise teams—initially knowledge workers in customer support, post-sales, and operations—with budget likely sitting in IT, digital transformation, or department heads who own productivity tooling spend.[5]Dust uses large language models on internal data to improve team productivity | TechCrunchtechcrunch.comJun 8 2026Independent report+5Reported

Public proof: Four named customers cited in Dust's own Series B announcement, each with a specific deployment description. No independent case studies or third-party validation in the evidence set. All proof originates from company-authored sources.[12]Dust raises $40M Series B to scale multiplayer AI for human-agent ...dust.ttJun 8 2026Company-authoredCompany-authored