How EduSphere increased course completion rates with an AI-driven recommendation engine.
EduSphere's course catalog treated every learner the same, leading to high drop-off in longer courses. Institutions wanted a way to personalize pacing and content without hiring a large content team.
We built a recommendation engine on a GraphQL content platform that adapts course pacing and content based on individual learner progress, integrated with existing SIS/LMS systems used by partner institutions.
“Their AI-first approach turned a static course catalog into a genuinely adaptive learning experience. Our engagement metrics improved within the first quarter.”
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