EyePredict improves shopping experiences by boosting visual engagement.
Merchants often assume that consumers inspect displays from top-left to bottom-right.
This intuitive assumption is contradicted by scientific evidence that visual attention is highly context-dependent and cannot be modeled effectively by general rules.
Our software-as-a-service solutions make relevant products stand out by repositioning them based on dynamic attention predictions.
The EyePredict technology has been used to increase consumer response both offline and online, as validated by tests involving millions of behavioral data points.
These tests were funded by a Fortune 500 customer that later offered to license our technology and a Small Business Innovation & Research award from the National Science Foundation.
The Founder of EyePredict, Ran Carmi, previously served as software engineer and product manager in other B2B companies before they went public or were acquired (NYSE: DOX, NASDAQ: JCDA, WebTrac).
In academia, Ran earned a Ph.D. in neuroscience (USC), published oft-cited articles, and won the Best Paper award at a major international conference in the field (Eye Tracking Research & Applications).
Ran also led technology commercialization at Caltech, where he recruited our R&D team.