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Meet Models: a semantic workspace your whole team (and your AI) can build on

Definitions have grown up. They’re now Models—a top-level workspace that lives right below Data. A model is reusable, governed SQL that captures a core concept in your business, like your customers, orders, or active accounts, so everyone works from the same trusted definition instead of re-deriving it every time. You can reference a model directly in SQL like any other table with select * from models.<name>, and legacy definitions.<name> references migrate over automatically.

Models now carry real semantic meaning. Each one gets dedicated editor views for details, columns, measures, and segments, plus synonyms, a row grain, key columns, relationships, and plain-language usage guidance. The assistant reads all of that context when it answers questions—so it writes more accurate SQL, reaches for the right measures and filters, and stays consistent with how your team actually defines things. Admins who’d rather keep Models hidden can turn it off per organization in settings.

Basedash now speaks French, Spanish, and Portuguese

You can now use Basedash in English, Español, Français, or Português. Pick your language from profile settings and the interface switches instantly, with no page reload, so everyone on your team can work in the language they’re most comfortable in.

Language switching is fast and lightweight: only the language you select loads, so the app stays just as snappy no matter which one you pick.

Let your AI tools build charts and dashboards

Basedash’s MCP server can now do more than answer questions. Connected AI clients like Claude Code and Cursor can create and edit charts and dashboards directly in your workspace using plain-language instructions. Every created or updated artifact comes back with a durable Basedash link and chart screenshots, so you can jump straight from your AI tool into the real thing.

New read tools for listing and fetching charts and dashboards round out the workflow, and everything respects your existing access controls. Existing MCP connections pick up the new capabilities automatically—there’s no need to re-authorize.

Fixes and improvements

  • Made the dashboards you’re actively viewing refresh faster by prioritizing your chart loads ahead of background refresh work.
  • Added the underlying SQL and sources to every chart the assistant renders in an answer, including multi-source charts.
  • Sped up chat answers so they appear as soon as they’re ready instead of waiting on source attribution to finish.
  • Fixed automation creation so it no longer flashes a “not found” error, and allowed selecting a data-change trigger before its query is configured.
  • Fixed chart edits failing to save on charts that have drill-downs configured.
  • Fixed dragging a chart’s scrollbar accidentally moving the chart around the dashboard.
  • Fixed data source deletion getting stuck on very large schemas.
  • Fixed deleting a dashboard tab twice causing a sync error.
  • Refreshed the login and sign-up screens.