Overview
Dust is a sophisticated AI orchestration platform designed to break down information silos within modern enterprises. Unlike generic chatbots, Dust focuses on 'Programmable LLMs'—allowing teams to build custom assistants that are deeply integrated with their internal data stacks (Notion, Slack, GitHub, Google Drive). Its technical architecture is built on a proprietary Domain Specific Language (DSL) that allows developers to define complex chains of LLM calls, data retrieval, and logic. By 2026, Dust has positioned itself as the 'operating system' for team intelligence, moving beyond simple RAG (Retrieval-Augmented Generation) to provide agentic workflows that can perform actions across connected apps. The platform is model-agnostic, supporting state-of-the-art models from OpenAI, Anthropic, and Mistral, ensuring that enterprises can swap underlying models as the LLM landscape evolves. Its core value proposition lies in its ability to provide context-aware answers while maintaining strict data privacy and permissioning protocols, making it a favorite for engineering, sales, and operations teams that require high-fidelity information retrieval.