Create engaging content for your learners through our revolutionary feedback data

We fuse AI, neuroscience and natural language processing to provide insightful feedback on your learner engagement.

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Natural Language processing (NLP)

NLP models are used to provide contextual engagement feedback based on the content complexity, stylistic, lingual and emotional parameters of the speaker's communication and more. The algorithm is trained on over more than 4000 video lectures that span over 20 diverse subjects.

Computer vision (CV)

Our CV models extract eye movement and facial features of users to estimate gaze aversion, fixation duration, point reflections and micro saccadic patterns. These metrics exhibit relation with the cognitive load of the user corresponding to information processing and working memory utilization. The algorithms have been trained over 1000 user data varying over 250 lecture resources including videos and presentations. The data sets used are proprietary.

How it works


Upload your learning resources for which you need insights (Lecture videos/PDF content)


Choose your own learners or we provide our panel learners to view/test the learning resource engagement


Get actionable insights on learner engagement for your resources