nao

In plain words

Nao is an AI-powered data IDE designed for analysts, engineers, and scientists working with data pipelines and analytics. It enables users to write SQL, Python, or dbt workflows while providing schema understanding, real-time previews, and built-in quality checks. The platform connects directly to data warehouses and supports collaboration across teams without requiring context switching. Users can build pipelines, run analytics, and deploy changes with reduced bugs and increased confidence in data accuracy.

written from the facts on this page · September 2026

From the sources

Nao is an AI powered data IDE for analysts, engineers, and scientists to write SQL, Python, or dbt workflows, preview changes, catch issues early, and deploy confidently. It connects directly to your warehouse and understands your schema so you can build faster, fix fewer bugs, and maintain trust in your data. Build data pipelines, launch quality checks, run analytics, and collaborate across teams without context switching. Think of it as your AI teammate built specifically for modern data work.

nao is the analytics agent builder for context engineering. Build, evaluate, and deploy reliable analytics agents with your own data stack.

Add anything you want in the context: data, metadata, rules, docs, tools, MCPs. No limit. project_name : nao-agent databases : - name : bigquery-prod accessors : - columns - description - preview - profiling include : - prod_silver.dim_users exclude : [] type : bigquery project_id : nao-production credentials_path : /path/to/credentials.json repos : - name : dbt url : https://github.com/dbt-repo.git notion : api_key : {{ env('NOTION_API_KEY') }} pages : - https://www.notion.so/naolabs/ Synchronize your existing context $ nao sync Execute Pull context from existing context sources automatically Create unit tests of questions to SQL and get instant metrics on context reliability and…from getnao.io

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