Dust

Dust is designed as an operating system for AI agents, enabling companies to build and manage AI-driven workflows. It provides core building blocks for AI to connect a team's knowledge and workflows, similar to how operating systems provide universal UI primitives for applications. Dust allows users to create teams of specialized agents that collaborate with humans, connect agents to company data, and integrate with existing tools.

Key features include the ability to build powerful AI agents without code, connect them to data sources like Slack, Google Drive, Notion, and Confluence, and utilize multiple tools to solve complex problems, such as semantic search, data analysis, and web navigation. The platform is model-agnostic, allowing users to connect to various AI models and existing systems.

Dust emphasizes security and compliance, ensuring data privacy by never using customer data for model training. It offers encryption at rest and in transit, fine-grained permissions with Spaces, SSO/SCIM support, and role-based controls. The platform is SOC 2 Type II certified, GDPR compliant, and enables HIPAA compliance, with enterprise audit logs and data residency options available.

Dust targets organizations looking to leverage AI to improve team performance, break down knowledge silos, and automate workflows. It is particularly useful for departments like sales, customer support, marketing, engineering, data & analytics, knowledge management, IT, legal, people operations, and productivity. Industries such as B2B SaaS, consulting, financial services, insurance, marketplaces, and retail can benefit from its capabilities.

Dust aims to transform how work gets done by providing an AI operating system that connects models to company data, turning raw AI capabilities into agents that perform real work. It focuses on connecting AI to how work actually happens, rather than just training bigger models.