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.
Free Options
Launch Team / Built With
Having SQL, Python, quality checks and deployment all in one AI-powered place feels like the future of analytics engineering. Grats on the launch!!!
nao
@himani_sah1 yes it is! Thank you for your support
nao
@himani_sah1 for sure that's the future! Thanks!
Strapi
Let's goooo! Awesome product, amazing team, we didn't find the way to give it a try until now but it's on our radar for a long time, this new version looks freaking cool, we cannot wait to use Nao 🙌
nao
@aureliengeorget thank you for your support, hope you'll try it soon 😉
Hello8
nao
@garysz Thanks Gary, yes definitely what we needed for data teams!
ClipDrop
Can't wait to try it!
nao
@damien_henry1 yes please do and let you know what you think!
Congrats on the launch @claire_gouze and @bleff ! @nao hits a real gap in data tooling. I’ve spent years architecting, building and operating pipelines across analytics and finance, and the friction is always the same: context and code lives in too many places and tools (warehouse, BI, docs, code), so changes are slow and risky.
An IDE that’s natively "data-aware" (schema, lineage, business definitions) and connects directly to the warehouse is the right abstraction.
My experience so far has been fantastic:
Connected to my warehouse and generated a dbt model + tests from tables in minutes; lineage preview caught a join issue early.
Ran an ad‑hoc analysis via prompt; the agent planned the checks and produced a solid summary with links back to sources.
Environment switching worked cleanly for dev → staging; diffs were readable and prevented drift.
Curious about two things:
Do you plan to continue enhancing the SQL query experience? I'm still switching between nao and DataGrip for some tasks.
Do you plan to offer BYOK in the PRO plan? I would love to use our own Bedrock keys for the Claude models.
Once again, massive congrats!
nao
@benjamin_sicard thanks for the detailed feedback, great to see you could do so many things with it.
Yes of course SQL experience is one of our key obsessions -> anything on Datagrip you're missing on nao?
For now, BYOK is for enterprise plan, let's get in touch to see what could be fit for you!
Café
nao
@tom_nguy yes go ahead and let us know what you think!
MotherDuck
Congrats on the launch! Data workflows are such specific tasks. This will make the lives of data people a lot easier!
nao
@mehdi_ouazza Thank you Mehdi!