We partnered with a Vancouver-based EdTech startup to build a white-label mobile LMS platform enabling K-12 schools to deliver engaging hybrid education. The solution featured AI-powered tutoring, offline mode, and real-time progress tracking, helping the startup onboard 200+ schools within 8 months of launch. Key outcomes included 75% higher student engagement, 90% retention of schools, and 40% faster content updates compared to competitors’ web-only platforms. The mobile-first approach addressed critical needs for accessibility and low-bandwidth usage in rural communities.
Client Industry
Education (Higher Ed)
Client Location
Vancouver, Canada
Project Duration
18 months
Team Size
25 (Developers, QA, AI/ML Engineers, UX Designers)
Technology Used
- Mobile: React Native (iOS/Android)
- Backend: Firebase, Node.js
- AI: Python, TensorFlow (Adaptive learning)
- Analytics: Mixpanel, BigQuery
- Accessibility: Voice commands, text-to-speech
- Content Delivery: AWS CloudFront (For low-bandwidth regions)
Client Background
The client was a seed-stage EdTech startup targeting K-12 schools across Canada with plans to expand to emerging markets. Their web-based MVP struggled with low user retention (30% drop-off after 2 weeks) and couldn’t support offline learning. Schools demanded a mobile solution for students without laptops, especially in rural areas. As a startup, they needed rapid deployment, scalability, and third-party content integrations to compete with established players. Regulatory requirements for child data privacy (PIPEDA compliance) added complexity to development.
Project Scope
- Unified Mobile/Web LMS
A single platform for all universities, with synchronized progress tracking, course materials, and notifications across devices. - AI Tutoring & Chatbot
24/7 homework assistance using NLP, reducing instructor workload by 20% and providing instant answers to common queries. - Offline Mode
Downloadable lectures, assignments, and quizzes for students with limited internet, syncing data once reconnected. - Automated Grading
AI evaluated coding assignments and essays, cutting grading time from 7 days to 2 hours. - Gamification & AR
Leaderboards, badges, and 3D anatomy models increased STEM engagement by 50%. - Accessibility Suite
Voice navigation, sign-language avatars, and dyslexia-friendly fonts ensured compliance with Canadian accessibility laws.
Our Approach
- Pilot Testing
Launched MVP in one Computer Science department, using A/B testing to refine features. - AI Model Training
Trained chatbots on 10K+ student queries and predictive analytics to flag at-risk students. - Agile Development
Biweekly sprints prioritized high-impact features like offline mode and AR labs. - Regulatory Compliance
Partnered with accessibility consultants to meet Canadian human rights standards.
Features Introduced
- Push Notifications
Deadline reminders and live class alerts increased logins by 40%. - AR Science Labs
3D interactive models let students explore anatomy/engineering concepts hands-on. - Voice-Controlled Navigation
Hands-free access for visually impaired students. - AI Proctoring
Detected cheating via keystroke/face analysis during mobile exams. - Real-Time Collaboration
Group projects via shared whiteboards and breakout rooms.
Addressing Challenges
- Low Engagement → Gamification + push notifications boosted daily usage.
- Rural Connectivity → Offline mode enabled uninterrupted learning.
- Manual Grading → AI auto-graded 80% of assignments.
- Fragmented Systems → Unified app replaced 3+ legacy tools.
- Accessibility Gaps → Screen-reader compatibility + multilingual support.
Business Impact
- 60% Increase in Daily Active Users (Mobile vs. Web).
- 90% Assignments Submitted via Mobile (Before deadlines).
- 50% Faster Grading with AI automation.
- 35% Cost Savings (Reduced IT/maintenance for legacy systems).
- 100% Accessibility Compliance (Avoided legal risks).
