French startup Dust has secured a $16 million Series A funding round led by Sequoia Capital. Dust enables companies to create personalized AI assistants for their employees, enhancing productivity.
What sets Dust apart is its focus on utilizing a company’s data and documents. Unlike consumer-oriented tools like ChatGPT, Dust’s assistants are integrated with a company’s resources such as Notion, Google Drive, Intercom, and Slack.
Dust advocates for companies having multiple AI assistants tailored to different tasks and challenges faced by specific teams. This approach boosts efficiency and addresses specific needs across various departments.
Support teams can leverage Dust to access knowledge base content and past interactions for efficient issue resolution. Similarly, HR teams can deploy assistants for policy queries and job description drafting, streamlining operations.
Engineering and data teams can benefit from Dust’s assistants for tasks like generating SQL queries or integrating with company databases. Sales teams can streamline email drafting processes based on CRM data and client context.
Dust emphasizes a user-friendly approach, aiming to make AI assistants accessible to everyone. Companies integrate Dust’s conversational assistants to streamline operations, offering employees a seamless experience in platforms like Slack.
Dust has achieved $1 million in annual recurring revenue, with tech companies like Watershed, Alan, Qonto, Pennylane, and PayFit as active users.
Notable adoption rates include 75% usage at Qonto, 80% at Alan, and 86 custom assistants created at Pennylane. Investors like XYZ, GG1, and Connect Ventures have shown continued support for Dust.
Dust’s customer-centric approach extends to offering options for choosing foundation models for assistants, collaborating with OpenAI, Anthropic, Mistral, and Google.
Amidst a competitive landscape, Dust stands out with its practical onboarding strategy. Other notable players in the enterprise AI agent space include Brevian, Tektonic AI, Ema, Kore.ai, Glean, and Atlassian with Rovo.
