We like hard problems and high places.
A data and AI studio run by senior practitioners who build these systems for a living.
A studio, not a consultancy.
Jambo Labs is a data and AI studio. We have spent our careers building platforms, models, and AI systems for serious organisations across healthcare, aviation, energy, agriculture, and government. The work has always been hands-on, and that is the point.
We believe senior, hands-on teams deliver better work than large consultancies. The person you meet at the start stays accountable for the outcome. We are honest about where we are: Jambo Labs is early. What is not early is the experience behind it.
A word you hear on the way up.
"Jambo" means "hello" in Swahili, the first word you hear climbing Kilimanjaro. The founders climbed it together in 2023, and the name stuck. They climbed Toubkal in 2025. By then the studio already had its name.
Antoine Millet
Co-Founder · your point of contact
Antoine leads our client conversations, working alongside a senior leadership team of data and AI practitioners. He manages AI products from research through to production: a generative AI tool connecting thousands of agricultural R&D projects for an international research organisation, operational oversight of an AI system for France's electricity transmission network, and AI projects for the French Senate and CNRS.
The mountain is not decoration.
We put a mountain on the company because the founders spend their time in wild places and want them to still be there in a hundred years. The discipline carries over. Mountains punish wishful thinking; so does data. We also see the tension: AI runs on energy and hardware, and it is not going away. So we build the way we climb, taking only what earns its place. Most of our work exists to find waste and remove it. We recommend less than people arrive asking for, and quite often nothing at all, because the system that never gets built costs nothing to run.
Conservation is the part we care about most, protecting what is left and helping it recover. Commitments will be made and listed here as the company can carry them.
We run a hackathon.
We run a hackathon to find strong early-career builders in data, AI, and engineering. The primary incentive is not prizes; it is paid trial work on real problems, with direct collaboration with the founders.
Learn about the hackathonIf you have a problem worth solving, we would like to hear about it.
Antoine will pick it up personally.
Talk through your use case