We are a fast-growing tech company on one mission: to bring data & AI skills to everyone. We help organizations turn data and AI from a boardroom ambition into something people do every day — through customized, hands-on learning they can put to work the very next morning. From global enterprises to fast-growing teams, we build the people side of every successful data & AI transformation. Our home base is the Jaarbeurs Innovation Mile in Utrecht, two minutes from Utrecht Centraal.

Data Booster started with an observation from the inside: the organizations that win with data and AI aren't the ones with the best tools — they're the ones whose people actually know how to use them.
After years at ING, I joined Uber — and I was struck by how deeply data was woven into every decision, at every level. Most large organizations I knew, including the ones I came from, simply didn't work that way. When I left Uber, I couldn't let go of one question: why can't every company build that kind of data & AI culture? I started Data Booster to make it possible — first as freelance work, then as a learning platform, and today as a full capability partner. Some of our very first customers are still with us 4 years on.
I've led HR and Organizational Development across several organizations, and I've seen first-hand what it takes to build lasting capabilities. Transforming an organization takes more than investing in new technology — to get real value from data & AI, your people have to learn to work in new ways. Technology, processes, culture and skills all shape how work changes. That's why Data Booster's focus on the people side — helping employees build new skills in an applied, relevant way, embedded in a wider enablement program — is, in my view, a key differentiator in driving adoption.
Our values determine how we act and decide
We want to understand how our clients actually work before we build anything, and we keep learning fast.
We trust each other, take responsibility for our work and deliver on time.
We work with data and AI ourselves, and we take others along in it.

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Four data & AI leaders who have run these transformations themselves, and who keep us sharp.



