Anyone on your data team: analysts writing SQL, analytics engineers in dbt, data scientists building models, or data engineers working on the platform.
nao writes code that actually works on your data. It's natively integrated with your data warehouse, to generate code that fits your schema. Its agent has data-specific tools to ship code without breaking data quality: run data quality checks, data diffs, detect lineage impact & write relevant tests.
To get smart AI suggestions based on your schema, have the agent run data quality checks, and preview SQL results — all from your IDE.
Yes nao Free version is available for anyone doing one-off data work. It contains all nao features, but has limited daily requests to the agent. Free version also has a Pro Trial of 15 days, where you have unlimited agent requests - no credit card needed.
Free version allows for 5 agent requests on a 24 hours window. Pro trial allows for 20 agent requests on a 24 hours window. Pro version has unlimited agent requests.
nao is designed to keep your data safe. Your data connection is local, between your computer and your warehouse. No data is sent to nao. No data is sent to the LLM unless you allow it explicitly. We have a Zero Data Retention with our main LLM providers: OpenAI & Anthropic, ensuring models are not trained on your data. Our servers are located in the European Union (France). We are using Google Cloud Platform for our backend and database (Postgres) infrastructure. Finally, we are audited annually for SOC 2 Type II. For more information on data privacy and security, see our dedicated security page here.
Yes. In the Pro & Enterprise plans, you can choose to add more licenses to your subscription and invite team members on your subscription.
Yes. We are happy to help your team onboard to help your ramp up faster, as part of Enterprise plans. We can also schedule 1:1 peer coding to help you ramp up on using AI in your data workflows.
Nao is emerging as one of the most advanced AI tools designed specifically for modern data teams, offering intelligent Code Assistance that deeply understands your data warehouse, schema, and analytics workflows. Unlike generic AI assistants that guess based on text patterns, nao is purpose-built for analysts, data scientists, analytics engineers, and data engineers—anyone who writes SQL, builds dbt models, maintains pipelines, or works with data transformations.
One of the most important differentiators between nao and other AI tools, such as Cursor, is that nao writes code that actually works on your real data. Because it connects directly to your warehouse and reads your schema, the platform generates SQL, Python, and dbt code that matches your actual tables, column names, and relationships. This context-aware Code Assistance significantly reduces errors and speeds up development, making nao far more reliable than general coding copilots.
Furthermore, nao’s agent includes specialized, data-centric capabilities that go beyond code generation. It can run data quality checks, perform data diffs, detect lineage impacts, and even auto-generate relevant tests—ensuring the code it produces does not break downstream dashboards or pipelines. This elevated focus on data integrity makes nao one of the most trustworthy AI tools for mission-critical analytics workflows.
Connecting your data to nao unlocks its full intelligence, enabling schema-aware suggestions, automated quality validations, and instant SQL previews directly inside your IDE. For individuals or teams, the platform offers a flexible pricing model: a Free version with daily request limits, a 15-day Pro trial with higher limits, and a full Pro plan with unlimited AI agent usage.
Security is also a major strength. Data connections remain local, and nothing is sent to nao or to the LLM unless explicitly authorized. With Zero Data Retention agreements with OpenAI and Anthropic, SOC 2 Type II audits, and EU-based servers, nao offers enterprise-level protection for sensitive workloads.
Overall, nao is a powerful AI tool that delivers world-class Code Assistance, purpose-built for real data environments—making it an exceptional choice for data teams that want to ship quality code faster and more confidently.
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