In the first step, we gather data in large-scale human studies with thousands of subjects, both in our associated eye-tracking labs and through crowdsourced online panels.
Secondly, we use machine learning to find and model the underlying perceptual patterns in the data - these range from low level features like color contrast to high level, top-down mechanisms.
The best performing models get productized for our customers and provide predictive results that are both extremely fast and can be applied at scale.
EyeQuant was spun out of breakthrough foundational research at the Neurobiopsychology Lab at the Institute of Cognitive Science at the University of Osnabrück in Germany, one of Europe's leading Cognitive Science research institutions.
We further collaborate with various research institutations around the world, including the Horizon2020 supported consortium NextGenVis which is aiming to train the Next Generation of European Visual Neuroscientists.