Best alternatives to Dust in 2026

A lot of AI assistants are impressive in a demo and useless at work, because they don't know anything about your company — your product docs, your Slack history, your internal wiki. Dust exists to fix exactly that gap: it connects an AI assistant directly to the tools your team already uses, so it can actually answer "what's our refund policy" or "summarize last week's engineering standup" instead of making something up. Dust is an AI agent platform built by a team of former OpenAI and Stripe engineers. It connects large language models (from OpenAI, Anthropic, Google, or Mistral) to a company's internal data sources — Notion, Slack, Google Drive, GitHub and more — and lets non-technical teams build custom AI assistants without writing code. Agents can search across connected sources to answer questions or complete tasks, and the whole thing runs in a collaborative workspace so teams can build and share assistants together. It's SOC 2 compliant, with enterprise-grade data security, and claims over 300,000 deployed agents across 3,000+ organizations — this isn't an early-stage experiment, it's already in production use at scale.