Our technology is grounded in science we produce ourselves. We publish in international journals, collaborate with universities, and translate findings into working products.
We use machine learning to uncover patterns in leadership data that traditional methods miss. Our work on the leader trait paradigm applied ML to large-scale 360° assessment datasets.
We develop and validate instruments that measure health the way people actually experience it. Our Positive Health measurement scale was validated on a representative Dutch sample.
Advanced statistical methods applied to health data, including dynamic time warp analysis and elastic net regression for personality-health prediction.
How diversity functions in organizations and cultural sectors. From team dynamics and status hierarchies to cultural programming and audience composition.
We work with universities and research institutions. Notable collaborations include research with Harvard University on leadership and AI, and contributions to the MOCIA project (brain health) and SMART-AI project (arthrosis).
Brian Doornenbal holds a PhD from VU Amsterdam, where he researched social hierarchies, leadership, and team dynamics.