Dremio is a data lakehouse platform with AI built into its architecture rather than bolted on afterward: a built-in AI agent ships ready out of the box, MCP integration connects Claude, ChatGPT, Gemini, and other assistants directly to your data in minutes, and a Dremio CLI gives coding agents like Claude Code and Codex direct lakehouse access.
An AI Semantic Layer providing metrics, definitions, and relationships is the piece that actually makes agent access useful rather than just possible – an AI agent with raw database access but no business context will misinterpret ambiguous column names or miss relationships a human analyst would know implicitly, while a semantic layer gives the agent the same business context a human user would have. End-to-end access control inherited by AI agents also means you’re not opening a new, separate security surface just to let agents query your data.
Autonomous Reflections observe query patterns and accelerate future queries automatically, without manual tuning – a genuine operational time-saver on top of the AI-agent story. Built on an Iceberg-native platform with Apache Polaris open catalog. A free trial includes $400 in credits with no credit card required; Cloud, Enterprise, and Community Edition deployment options exist with pricing differentiated by tier.
