Why this studio exists

Before Havoop, I spent years trading the markets. What that taught me about lost money is exactly what I see today in SMBs that want to "get into AI".

Founder

Claudel Ngueya

Founder

Centrale Paris engineer, 10+ years in data science and AI.

Started my career as a data consultant at EY. I left for one reason: I wanted to build, not deliver slides. Moved to Tradelab as Data Scientist, then Hivency as Head of Data Science & Engineering.

Over the past 5 years, hands-on data & AI implementation missions for CAC 40 accounts — production-grade models, not top-down advice.

Havoop brings the same approach to SMBs: we diagnose, we build, we integrate, we hold in production. Not a consulting firm. A studio that ships.

Based in Paris.

LinkedIn contact@havoop.com

What we're building

We start with French and European SMBs because nobody serves them well: too small for the €200k consultancies, too specific for consumer tools. Twenty-five million companies in Europe have neither.

Every engagement teaches us what these companies have in common. Whatever comes up often enough becomes an offer, then a tool. That is how Palantir built its products, the way its forward-deployed engineers did: embedded inside the client first, software second. We do the same at the scale of a ten-to-fifty-person firm.

The service work funds this.

What we are testing right now is on the What we're testing page.

What we believe

Most AI projects fail from a lack of clarity about the work to be done, not a lack of technology.
An agent that works goes mostly unnoticed. Nobody should learn a new interface to benefit from it.
We prefer ten clients whose agents run to a hundred clients in pilot.

To talk about your case, book thirty minutes.