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AI · June 4, 2026

Basedash Semantic Layer

Define metrics once. Use them everywhere.

Basedash Semantic Layer launched on June 4, 2026 with 102 votes, #375 of 22,647 launches that month and more than 95% of that year's launches.

What it does

The Basedash semantic layer lets teams create reusable SQL metrics and models that AI can reference across chat, charts, dashboards, insights, and automations.

Transform raw data and define measures, segments, and dimensions in Basedash Models. Describe what you need and AI builds reusable models for every analysis…

Transform raw data and define reusable measures and segments. Basedash AI builds the model, then every AI workflow can use it. Shape raw data and define its business meaning in the same place. Models turn raw warehouse tables into analysis-ready datasets. Each model combines reusable SQL with documented dimensions, aggregate measures, reusable segments, and a default time column, giving people and AI one complete description of how your business data should be queried. Because Models are built into Basedash, every AI can use the same transformation and semantic context in chat , dashboards , insights , and automations . It is a first-party alternative to stitching together dbt for…from basedash.com

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