nao

Data analysts, engineers, and scientists who spend their day switching between a SQL editor, a Python notebook, and a dbt project are the people nao is built for.

Nao is an AI data IDE that connects directly to your data warehouse and reads your schema, so the code it suggests is based on the tables and columns you actually have.

You write SQL, Python, or dbt workflows, preview changes before they go live, and catch problems early instead of after deployment.

Behind the editor sits an agent that writes code with data quality in mind and has access to your business context.

Nao covers building data pipelines, setting up quality checks, running analytics, and working with teammates in a single place, which cuts down on context switching.

The idea is faster development and fewer bugs, with more trust in the data your team ships.

If your work lives mostly in a warehouse, nao fits that setup closely.