---
title: "Rig for scale-ups — give your warehouse a brain"
description: "Headless context layer over your existing Snowflake, BigQuery, or Databricks. Secure hosting so non-technical teams ship internal apps on data you already have."
canonical: "https://rig.so/solutions/scale-ups"
format: markdown
---

[Home](https://rig.so/)

For scale-ups

# Give your warehouse a brain.

Rig is the headless context layer over your existing Snowflake, BigQuery, or Databricks. Plus secure hosting so non-technical teams build and ship internal apps on data you already have.

[Book a demo](https://rig.so/book-demo)

- Your warehouse stays yours. Snowflake, BigQuery, or Databricks.
- Rig sits on top as the context layer and secure app host.
- Non-technical teams build internal apps and automations on data they already have.
- Your AI tools, Claude, ChatGPT, Cursor, Codex, get governed access through Rig MCP.

You've already invested in a warehouse and modelling. You don't need another vendor that wants to own ingestion or rebuild what dbt does.

You need a layer on top that lets the rest of the org actually use it. That's Rig.

## Your warehouse stays yours. Rig is the layer on top.

### Your warehouse stays yours.

Rig reads through a sandbox role. Your data never leaves your control.

### Embeds your semantic layer.

If you've already built one in dbt SL or Cube, Rig uses it. We don't make you start over.

### RBAC and audit, end to end.

Row-level access, PII policies, and a full audit trail across every tool Rig powers.

### Rig MCP for every AI agent.

One context layer, every AI tool. Claude, ChatGPT, Cursor, Codex, custom agents. All governed.

## See how Rig sits on your warehouse.

Worth a 30-minute call. We'll show you against your real schema.

[Book a demo](https://rig.so/book-demo)

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- [This page as HTML](https://rig.so/solutions/scale-ups)
- [Site map for language models](https://rig.so/llms.txt)
- [API and agent documentation](https://rig.so/developers)