Metabase outlines its AI strategy across recent releases, focusing on three pillars: correctness, accessibility, and governance. Data Studio provides a semantic layer so AI answers are grounded in curated, canonical data rather than guesswork. AI features are now available in every edition including open source, with self-hosting and bring-your-own-model support so organizations retain full control over data residency and costs. A new AI governance layer lets admins set token limits, define per-tenant access, enforce data segregation, and audit usage — addressing compliance needs for regulated industries and embedded analytics customers.
Table of contents
Connecting the dots across releasesThe foundation: making AI work correctlyAI goes open source: making AI accessible and safe at the infrastructure levelMaking AI yours to control and governWhere we’re heading1 Impression