nao

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.

Verified Free tier
Quick facts
What is it 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.
Pricing Freemium — from $30/mo
Free tier Yes
Platform Desktop Application
Best for building data models and pipelines, performing data analysis and visualization
Domain registered 2024

Data updated Aug. 1, 2026

What does nao do?

Nao is a desktop application that functions as an integrated development environment (IDE) specifically designed for data teams. It connects directly to your data warehouse (supporting Postgres, Snowflake, BigQuery, Databricks, and others) and allows you to write SQL queries, preview data, and manage data models all within a single interface. It essentially replaces your need to juggle multiple database consoles and separate AI tools.

The tool's standout feature is its integrated AI agent that has direct access to your data schema. This allows it to write code that actually matches your data structure, create data pipelines, run complex analyses, generate charts, and perform data quality checks. It integrates with your existing data stack tools like dbt for model previews and lineage viewing, and supports Model Context Protocol (MCP) servers to extend its capabilities. A unique '.naorules' feature lets you customize the AI's behavior around your specific data model and coding standards.

This tool primarily benefits data engineers, analytics engineers, and data analysts who work extensively with SQL and data warehouses. Real-world use cases include rapidly building production-ready data models from raw tables, performing ad-hoc data analysis and visualization, exploring unfamiliar data schemas, and ensuring data quality through automated testing—all within a secure, locally-connected environment that keeps sensitive data private.

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Key features

What makes it stand out
01
AI agent with direct access to your data schema for context-aware code generation
02
Integrated data warehouse console supporting major providers (Snowflake, BigQuery, etc.)
03
dbt integration for model previews, lineage viewing, and development tools
04
Data visualization through AI-generated charts and analytics
05
Local data connection architecture ensuring data never leaves your infrastructure

Who is nao for?

Who benefits most from this tool
building data models and pipelines
performing data analysis and visualization
exploring and querying data warehouses

Pricing

Free tier available — start without a credit card

Free

Free
  • 5 agent requests per day
  • 15 days of Pro trial
  • Unlimited data connections
  • Unlimited AI auto-complete

Pro

$30.0/month

Everything in Free, plus:

  • Direct support on Slack
  • Invite team members
  • Unlimited agent requests

Custom

Custom

Everything in Pro, plus:

  • Bring your own LLM key
  • Enterprise workspace
  • Centralised billing
  • Dedicated support team

Trust & presence

Domain Domain registered 2024

Gallery

Click any image to enlarge

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