Dust

The company has evolved from a developer framework and browser extension to a comprehensive enterprise agent platform. Dust's core thesis is that the primary challenge in leveraging AI is not model capability, but the deployment and productization of these capabilities within organizations. The platform functions as an operating system for AI, providing the infrastructure to connect large language models (LLMs) to a company's unique data, including integrations with systems like Slack, Notion, Google Drive, and GitHub. This allows teams in various departments—such as sales, marketing, engineering, and customer support—to automate tasks, generate insights, and improve decision-making.

Dust takes a model-agnostic approach, supporting frontier models from providers like OpenAI, Anthropic, Google, and Mistral, allowing users to select the best model for their specific task. Its platform features a graphical user interface for creating prompt chains, a library of standard building blocks, and a proprietary scripting language for parsing model outputs. The company emphasizes security and privacy, with SOC 2 Type II certification and GDPR compliance, ensuring that client data is not used for model training. The business model is B2B SaaS, and the company has chosen a horizontal platform strategy over creating vertical-specific solutions, believing this allows for wider adoption and emergent use cases within organizations. Dust has raised a total of $21.5 million over two funding rounds, including a Series A led by Sequoia Capital.