Eye tracking

Eye tracking

We’ve trained this technology to look for specific eye movement patterns and determine whether the user is reading, performing cognitive tasks, watching videos, or playing video games. We envision it being implemented to monitor device use, namely in parental control apps, and time-tracking / organizer apps.



Uses a device camera to track eye movement. Works on over 90% of all Android and iOS devices


Patent-pending combination of deep learning and automatic pattern detection


Uses neural networks, optimized for mobile devices


One of the most energy efficient eye-tracking solutions for mobile

Application Examples

Nicola app

Implemented to verify reading activity and track reading time

Educational platforms

Combined with emotion recognition determines user’s attitude to certain types of workload

Advanced user interface engines

Interface adapts automatically to user activity and behavior

Time-tracking apps

Analyze work and non-work related workloads to generate employee efficiency reports