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.
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Launch Team / Built With
nao
@gavin_edgley of course it does! You can connect to Databricks in nao, directly query it there and work with the agent on your databricks warehouse.
For now haven't tried gravity - and we focus on specializing the experience to data people which generalist code editors don't do
Hello8
nao
@garysz Thanks Gary, yes definitely what we needed for data teams!
nao
Hey! I'm Stan, founding engineer at nao Labs.
Glad to be working on this beautiful product. We've come a long way since last year.
With nao, you can connect your data, visualize it, interact with it, and build powerful data pipelines, all with the help of AI and IDE tools we all love.
We're just getting started. We have so much more coming out soon.
Stay tuned and happy data vibing!
nao
@stan_dlc yes what a long ride in a year ! 🏎️
Collective.work
I really think this idea is brilliant 🔥 Developers use cursor, you can do many great things with it, but data work is way more specific, and clearly lacking tooling on this part - and it's much more than just generate me this SQL query
I'm super eager to see where all this will lead, but clearly the industry needs more specialised tools, and I think you're nailing it! Will definitely push in my team :)
nao
@paul_vidal thank you! Yes for sure, we need to finally have tools made for data work. Let's smash it!! 💥
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 😉
Congrats, @claire_gouze and team! 🙌 It’s so refreshing to see AI tooling built for data folks, by data folks. The local setup, full stack awareness, and analytics planning features are incredible. This feels like a massive unlock for data teams.
Congrats Claire. I'm loving Nao and will be showing it off next week to my team. Having the ability to query and profile the database within prompts along with the dbt models creation is so valuable. Wishing you all the best and look forward to the future of Nao.
nao
thank you@jchletsos 🥹 Awesome! This is exactly how nao can be useful doing analyses while being able to work on your data models at the same time
nao
@jchletsos Thank you Jason! Love seeing you so enthusiastic about nao. Looking forward to keep building it with you and your team!
@claire_gouze Me too. I couldn't build out such robust models at my dbt skill level yet. Since I'm more on the ingestion side, nao allows me to easily build my ideas or concepts for demos to prospects. Couldn't be happier to haven't stumbled onto your website a few weeks ago.
And thank you for all your support.