About
Three practitioners who build data and AI systems for a living, and started a studio to do it on their own terms.
Jambo Labs is a data and AI studio founded by three practitioners who have spent their careers building platforms, models, and AI systems for serious organisations. Healthcare, aviation, energy, agriculture, government. The work has always been hands-on, and that is the point.
We started Jambo Labs because we believe small, senior teams deliver better data and AI work than large consultancies. The people you meet at the start are the people accountable for the outcome. We lead every engagement, review every deliverable, and stay close to the detail. No handoff to a team you have not met.
We are honest about where we are. Jambo Labs is early. What is not early is the experience behind it.
The founders
Jawwad
Co-Founder, Data & Engineering
Data architecture · Consulting · Client delivery · Discovery · Engineering
Jawwad designs and builds enterprise data platforms. He led the delivery of a cloud data platform for NHS North West London: 40+ clinical and operational dashboards serving 2.8 million patients across eight boroughs. The platform won Data Integration Project of the Year at the 2026 HSJ Partnership Awards. Jawwad was also a core delivery lead on the HSJ Award-winning respiratory care tool built on the same data infrastructure. His work spans healthcare, FMCG, energy, and pharma.
MEng Aeronautical Engineering, Imperial College London.
Antoine
Co-Founder, AI & Product
AI products · Sales · Marketing · Partnerships · UX research
Antoine manages AI products from research through to production. He built a generative AI conversational tool connecting thousands of agricultural R&D projects for an international research organisation, led the operational oversight of an AI system for France’s electricity transmission network, and delivered AI projects for the French Senate and CNRS. Earlier in his career, he designed a fall prediction algorithm for older adults in a clinical setting in Madrid, published in IEEE.
MEng Aeronautical Engineering, Imperial College London.
Aayan
Co-Founder, Analytics & Data Science
Data science · Analytics · A/B testing · Predictive modelling · Product design
Aayan works at the intersection of data science and commercial decision-making. He designed and ran A/B pricing trials for a global airline that delivered a £5 million immediate revenue uplift, with projected annual gains of £75–100 million across 40 million passenger journeys a year. He engineered training datasets from over 10 million records for dynamic ML pricing models, and built the diagnostic dashboards used across the airline’s global network.
MSc Business Analytics, Warwick Business School. BBus Economics and Finance, RMIT University.
Where the name comes from
Jawwad and Aayan have been friends since they were nine, growing up together in Dhaka. Jawwad and Antoine met at Imperial and have been close ever since. When Jawwad and Antoine climbed Kilimanjaro together in 2023, the word “jambo” kept coming back. It means “hello” in Swahili; a word shared freely between strangers on a hard climb.
When Aayan joined them, the circle was complete. In 2025, all three climbed Mount Toubkal in Morocco for Jawwad’s stag trip. Another mountain, another defining moment; this time with all three together.
Jambo Labs was named on a mountainside, but it was built on something older: years of friendship and a shared conviction that the best work happens when you trust the people beside you.
Sustainability
The Jambo Conservation Pledge
We care about the natural world. It is part of why we named the company after a Swahili greeting and why we spend our time in mountains. When we founded Jambo Labs, we made a commitment: 1% of all profits go toward purchasing and protecting land. Forests, mountains, coastlines, wetlands; ecosystems that, once preserved, stay that way.
This is a founding commitment, not a future aspiration. As revenue grows, the contribution grows with it. We are exploring partnerships with verified conservation organisations and plan to share exactly where funds go and what they protect.
We are early. The pledge is not. When we have impact to report, it will be here.
Finding new talent
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 hackathonStart a conversation
If you have a problem worth solving, we would like to hear about it.
Talk through your use case