LearnQ - Case Study
Founders, LearnQ
LearnQ was one of the earliest adopters of VEGA AI, building a full-scale SAT prep platform that now supports over 26,000 Digital SAT aspirants globally with personalized instruction and scalable delivery.
LearnQ wanted every student to study smarter, not just harder. But personalizing study plans manually wasn’t feasible at scale. Generic plans led to slower progress, high dropout rates, and inconsistent results across students.
How VEGA AI Solved It
VEGA’s adaptive learning engine analyzed each student’s performance and generated personalized study plans including assignments, quizzes, homeworks and worksheets
Outcome
Many of LearnQ’s users weren’t native English speakers. For them, prep content was hard to understand and they often dropped off before completing a module. Explaining concepts across languages was a persistent blocker.
How VEGA AI Solved It
VEGA AI’s multilingual infrastructure allowed LearnQ to offer explanations, feedback, and tutoring interactions in multiple languages. Students could learn in their preferred language without losing context.
Outcome
Students either waited for human tutors to explain mistakes or got no feedback at all. This slowed down learning and capped how many students LearnQ could support.
How VEGA AI Solved It
VEGA’s AI Avatar reviews and shared instant feedback and suggested follow-ups based on student responses. It replicated the support of a human tutor at scale, without delay.
Outcome
Without detailed analytics, LearnQ couldn’t see who was improving and who was stuck. That meant missed opportunities to help students and to optimize platform performance.
How VEGA AI Solved It
VEGA’s live analytics engine provided student-level, topic-level, and cohort-level visibility and went down even to question by question analysis. It alerted the team when performance dropped and helped prioritize intervention.
Outcome
