EyeQuant Fuses Leading Neuroscience and AI to Give Accurate Learnings for How Users Will Respond To Your Designs.

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  • EyeQuant uses a combination of leading neuroscience research and powerful AI to predict in real time how users will engage and react to any design, on any device.
  • All it takes is an image file or URL and EyeQuant will produce a series of powerful actionable insights that can help significantly increase conversion.
  • EyeQuant's quantitative analysis can be applied during both pre and post-live testing cycles.

Starting with real world data, we build
ML models to provide instant predictions:

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1. Large Scale User Studies

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.

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2. Machine Learning

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. 

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3. Instant Predictive Results

The best performing models get productized for our customers and provide predictive results that are both extremely fast and can be applied at scale.

Research Partners & Associations

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. 

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Interested in working with EyeQuant's technology in academia?
We provide free API access to selected researchers.
Do get in touch via research (at) eyequant (dot) com.

Trusted by world-class CRO, UX and AdTech teams at:
  • Google
  • Canon
  • Epson
  • RBS
  • Newegg
  • Possible