VisualEyes gave you access to automated eye-tracking, pre-testing campaigns and designs, speeding up product cycles, and generating customer insights with the touch of a button.
Neurons AI gives you access to all of the same functionalities, but we have added extra features to give you even more value. Switch from VisualEyes to Neurons AI and get your hands on expert guidance, industry benchmarks, real-time feedback, & more.
No video model
No peer-reviewed papers
No benchmarks
No comparisons
93% accuracy
Only fixed exposure
Only attention heatmaps
Need to validate insights yourself
Unlimited pre-tests on videos
Scientifically validated methods
Industry & platform benchmarks
Compare images & videos in seconds
+95% accurate validation in one click
Start, End & Total attention heatmaps
Heatmaps for attention, emotions, & more
One-on-one onboarding & clear interpretations
Neurons, the world’s leading consumer neuroscience company, combines neuroscience and AI to predict consumer behavior. Since 2013, we've been helping Fortune-500 companies fine-tune their customer experiences.
Neurons outperforms VisualEyes with more precise clarity, engagement and saliency scores. Our AI solution is trained on the world's largest eye-tracking database. Our predictive AI can forecast customer responses with 95% accuracy, and offers realtime feedback on your visual assets.
Neurons AI offers pre-testing for any visual assets that customers are interacting with. You can test unlimited images & videos of ads, websites, packaging, and more. Our AI solution is scalable and gives you personalized recommendations based on your specific industry and use case.
Neurons Copilot is our suggestive AI model that gives you actionable insights and recommendations to know exactly how to improve your visuals to reach your goals. It’s trained on over 14.000 commercial assets to give you industry and case-specific suggestions to improve your visuals in seconds.
Measure attention and engagement at a click of a button. Ensure that your creatives deliver, without burning budget on A/B testing.
Pernille Vermedal Høgh
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