We empower data teams as decision makers, not code writers
The data stack is fragmented.
Context is scattered across warehouses, transformation tools, BI, and catalogs. Data teams waste countless hours bridging gaps instead of delivering insights.
Generic AI copilots fail for data.
Without context, they hallucinate on data input and don't guarantee data quality and consistency.
We're still far from self-serve data.
With all this manual data maintenance and exploration work, data teams have less time to really focus on insights.
Agentic Data Intelligence is the missing ingredient.
With all this manual data maintenance and exploration work, data teams have less time to really focus on insights.
No more data quality anxiety, no more low-added value tasks and technical headaches.
Full focus on business impact.
We're data people.
Claire went from data scientist at BCG to head of data at sunday.
Christophe built data stacks at Kapten, Qonto, and BlaBlaCar — and created his data engineering blog blef.fr.
In every company, data teams were stuck fixing pipelines instead of creating insights. We talked to 80+ people in data, and everyone said the same.
That's why we started nao in 2024 — to bring AI superpowers to data teams. Backed by Y Combinator in 2025, we're now building between Paris and San Francisco — on a mission to create the best place to work on data with AI.