The challenge
What needed to change
An EdTech team wanted to move beyond static courses: learners needed adaptive difficulty, instant help, and practice that matched each student’s gaps.
Case study
Web Application
Adaptive Learning Platform with AI Tutoring — 34% Grade Improvement
An EdTech startup wanted to replace static course content with an adaptive learning experience. AI tutor adjusts curriculum difficulty, answers questions in real time, and generates personalised practice exercises.
Key metrics
34%
Grade improvement
8k
Active students
20 wks
Build time
Our approach
What we built
We built an adaptive engine with an AI tutor for Q&A, dynamic difficulty, and generated practice sets tied to curriculum objectives — on Next.js and Supabase for real-time progress.
Results
Outcomes in production
34% measured grade improvement cohort-wide, 8k active students, and a twenty-week build from architecture to classroom pilot.
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