AI-powered website builder that generates a professional site in under a minute and includes tools for content, SEO, and analytics.
52M visits/mo+0.7%#4 Coding & Development
$30Starting price
24KMonthly visits
23Popularity
About nao
nao is a cutting-edge AI data editor designed specifically for data teams looking to streamline their data management processes. It connects directly to your data warehouse, providing a seamless interface for querying, analyzing, and ensuring data quality. With its AI-driven capabilities, nao simplifies the complex task of managing data by offering real-time code writing and analysis, all while maintaining a high standard of security and privacy. Key Features: Integrated Development Environment (IDE): An intuitive platform where users can view and interact with their data directly, eliminating the need for juggling multiple tools. AI-Powered Code Assistance: The nao AI agent writes and auto-completes code with your data schema in mind, ensuring accuracy and efficiency. Multi-Warehouse Connectivity: Supports connections to major data warehouses like Postgres, Snowflake, and BigQuery, allowing for flexible data management. Data Quality Assurance: The AI agent can test your data, run data diffs, and ensure high data quality, providing peace of mind for data teams.
nao Labs
Paris, France · Founded 2024
- Founded
- 2024
- Headquarters
- Paris, France
Key features
- Integrated Development Environment (IDE)
- AI-Powered Code Assistance
- Multi-Warehouse Connectivity
- Data Quality Assurance
- Time Efficiency
- Enhanced Data Security
- User-Friendly Interface
- Comprehensive Integration
Use cases
- Streamlining data management processes for data teams
- Rapid data model prototyping for startups
- Real-time data insights for financial analysts
Pros
- Open-source platform enabling full customization and self-hosting for maximum control
- Context engineering via file-system-like structure for organizing data, metadata, rules, and tools
- Supports integration with major data warehouses (e.g., BigQuery, Snowflake) and external sources (e.g., Notion, dbt)
- Enables deployment of a chat UI for natural language analytics on data with user-friendly access
- Includes built-in testing and reliability metrics for context performance monitoring
Cons
- Requires technical setup for context engineering and self-hosting, which may demand expertise
- Relies on user-provided LLM keys for deployment, adding complexity to configuration
- Limited native support for non-technical users without prior data or analytics experience
Frequently asked questions about nao
What is nao and what does it do?
nao is an open-source analytics agent builder designed for context engineering, allowing users to build and deploy an analytics agent that interacts with their data using plain English. It enables users to engineer their agent's context by organizing data, metadata, rules, and tools into a file-system-like structure.
Who is nao suitable for?
nao is suitable for data teams, analysts, and organizations looking to streamline their analytics workflows by deploying a self-hosted, customizable chat interface for data exploration and analysis. It is ideal for those who want to integrate their data warehouses and external sources into a unified context.
How does nao work with data warehouses?
nao connects directly to data warehouses such as BigQuery, Snowflake, or Postgres, pulling in schema, metrics, and models to build a comprehensive context for the analytics agent. Users can synchronize existing context from databases, repositories, and external sources like Notion.
Can nao be self-hosted?
Yes, nao supports self-hosting, allowing users to deploy their analytics agent within their own infrastructure for maximum security and control over their data. This ensures that all interactions and data remain under the user's control.
What integrations does nao support?
nao supports integrations with major data warehouses, repositories (e.g., dbt), and external tools like Notion. It also offers an MCP (Model Context Protocol) for broader connectivity, enabling interactions via platforms like Slack, Teams, WhatsApp, and Telegram.
How can I get started with nao?
To get started, users can initialize their agent's context using the command `nao init`, then add data, metadata, rules, and tools to build their context. The `nao sync` command can pull existing context from connected sources, and `nao chat` deploys the agent for interactive use.
nao traffic & engagement
getnao.io · third-party estimates from Similarweb
Data as of Sep 2026Full AI website ranking →
Monthly visits · Sep 202624K+4% MoM12-month high 24K (Sep 2026)
Rank among AI websites#3,441▲ 69 vs last monthof 8,652 tools on aitoolnavio™
Top marketUnited States25.8%Top 5 countries bring 73% of visits
Average visit19sTime on site per visit
Pages per visit1.78Average pages viewed
Bounce rate38%Lower than 55% of AI sites
Similarweb global rank#1,159,692#1,577,251 in United States
Traffic trend
Last 4 months · grows by one month every month
- Jun 202619K
- Jul 202617K−10.1%
- Aug 202623K+35%
- Sep 202624K+4%
Top countries
Share of visits · estimated visits
Other countries: 26.6%
Compared with similar tools
Coding & Development · Sep 2026
Traffic figures are third-party estimates, good for scale and trends; they can differ from a company's own numbers. Updated monthly.
