> ## Documentation Index
> Fetch the complete documentation index at: https://oxy.tech/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Airform

> dbt-style, version-controlled SQL modeling for Oxygen

**Airform** handles the transform step: dbt-style, version-controlled SQL models
that turn raw tables into clean, tested ones. It lives alongside your agents,
automations, and semantic model in the same workspace, and is validated and
deployed through the standard Git flow — so the tables your
[semantic model](/docs/guide/build/semantic-model/simple-model) builds on are modeled
deterministically, not assembled ad hoc.

## Why model with Airform

* **Version-controlled transforms.** Your models are code, reviewed and deployed
  through the same Git flow as the rest of your project.
* **Tested tables.** Transforms land clean, tested tables, so the semantic model
  compiles over a dependable foundation.
* **One workspace.** Modeling sits next to agents, automations, and the semantic
  model — no separate tool to context-switch into.

<Card title="airform on GitHub" icon="github" href="https://github.com/oxy-hq/airform">
  dbt-style modeling for Oxygen. Open source.
</Card>

## Next steps

<CardGroup cols={2}>
  <Card title="The semantic model" icon="cube" href="/docs/guide/build/semantic-model/simple-model">
    Build measures over the tables Airform lands
  </Card>

  <Card title="Airhouse" icon="warehouse" href="/docs/guide/build/data-infrastructure/airhouse">
    Where your data lands
  </Card>
</CardGroup>