GradeNext AI Learning Platform Development
Client: GradeNext – California, USA
Project overview
GradeNext set out to reimagine after‑school learning for grades 1–8 with an AI‑aware platform that combines self‑paced practice, live tutoring, and coding classes. They needed a partner who could design and build a secure, cloud‑native SaaS platform that feels playful for students, yet reliable and data‑driven for parents, tutors, and administrators.
Engagement model: Multi‑year platform‑engineering partnership covering discovery, MVP build, iterative releases, and ongoing platform support.
Client & context
GradeNext
AI Learning Platform
Location: California, USA
Outcomes at a glance
- Unified experience for practice, live classes, and progress tracking across multiple learner roles.
- AI‑powered topic practice that adapts to each learner’s pace and focus areas.
- Operational dashboards that give parents and tutors clear visibility into progress and schedules.
Technology stack
01 — Client challenge
Client Challenge
Day‑to‑day operations were spread across multiple tools: one app for practice, separate tools for live classes, shared sheets for attendance, and WhatsApp/ email for updates. The team was spending hours every week just reconciling who did what.
Parents and tutors received mixed, sometimes conflicting views of a student’s progress because data lived in different places and was updated manually. It was hard to answer a simple question like “Is this learner on track this month?” with confidence.
Scheduling and rescheduling sessions depended on manual coordination between centres, tutors, and families. Last‑minute changes often got lost, causing missed classes and frustration for everyone involved.
Launching a new subject, city, or offer meant copying the same workflows in yet another set of tools. Nothing was reusable, and every growth step increased operational risk instead of reducing it.
02 — Solution
Platform design & delivery approach
Platform & Experience Design
- Ran collaborative workshops to map learner, parent, and tutor journeys across the main GradeNext app and the Nexus portal.
- Defined a clear IA: Learning Wonderland dashboard for students, Nexus hub for parents/tutors, and shared services for scheduling, progress, and billing.
- Created a component library for cards, dashboards, and progress tiles so new modules could be added without redesigning the entire UI.
AI‑Powered Practice & Progress
- Implemented topic‑wise practice flows that combine difficulty levels, accuracy history, and exposure tracking to decide what a student should see next.
- Designed data models for attempts, streaks, and topic mastery so AI/ML models can evolve without breaking the core experience.
- Surfaced insights in plain language on dashboards (badges, accuracy bands, weekly trends) instead of raw analytics charts.
Cloud‑Native SaaS & Nexus Portal
- Built the core platform as a multi‑tenant SaaS on AWS using React/Next.js on the front‑end and Node.js/MongoDB on the back‑end.
- Implemented secure role‑based access so students, parents, tutors, and admins share the same platform while seeing only what they need.
- Delivered the Nexus portal where parents and tutors can manage schedules, reschedule requests, see performance, and coordinate 1:1 sessions.
Secure Platform Engineering & DevOps
- Applied secure‑by‑design patterns for authentication, data segregation, and audit logging from the first release.
- Set up CI/CD pipelines, environment‑specific configuration, and automated checks so new features can be shipped frequently with confidence.
- Introduced observability (logs and basic metrics) so the team can see how the platform behaves under real classroom usage.
Results & Impact
Unified experience for practice, live classes, and progress tracking across multiple learner roles.
AI‑powered topic practice that adapts to each learner’s pace and focus areas.
Operational dashboards that give parents and tutors clear visibility into progress and schedules.
Platform architecture ready to support new subjects, geographies, and pricing plans.
GradeNext now runs a unified platform where students practice, attend classes, and explore coding, while parents and tutors coordinate through Nexus.
Product and curriculum teams can launch new flows (e.g. additional activities or grade levels) by reusing shared components and platform capabilities.
The underlying architecture supports adding more AI‑driven recommendations, new geographies, and partner integrations without a full rewrite.
Delivery flow
Workshops with founders, curriculum experts, and product leads to map learner, parent, and tutor journeys.
Experience maps and platform architecture for GradeNext app, Nexus portal, and shared services.
Incremental releases of dashboards, AI practice engine, scheduling, and role-based access on a shared platform.
Ongoing improvements, monitoring, and new features as the product scales across subjects and markets.
Experience snapshots
How the platform feels in real use across students, parents, tutors, and the GradeNext team.
Student learning workspace
Students log in to one place to practice topics, see what’s next, and track badges and progress across grades 1–8.
Nexus for parents & tutors
Parents and tutors use Nexus to schedule sessions, see how each learner is doing, manage payments, and coordinate follow‑ups.
Operations & insight layer
GradeNext teams get dashboards that connect enrollment, engagement, and learning outcomes so they can tune programs and capacity.
Ready to Start Your Project?
Let's discuss how we can help you design, build, and operate a robust platform just like GradeNext — aligned to your product, team, and market.