Learning platforms that teach millions without breaking.
For online course platforms, K–12 edtech products, corporate learning tools, and universities building digital learning infrastructure. LMS architecture, adaptive learning engines, live classroom tech, and the assessment pipelines that make outcomes measurable.
Pedagogy is a product constraint — build for it.
EdTech has a scale problem that looks like a content problem. A platform that works for 500 learners breaks at 50,000 not because of the curriculum — but because video delivery isn't adaptive, the quiz engine serialises database writes, and the progress tracker doesn't account for concurrent sessions. We've seen this pattern enough times to engineer around it before it hits production.
We've built LMS platforms, adaptive learning engines, virtual classroom tools, assessment systems, and corporate training products. We know SCORM and xAPI (Tin Can). We know how Stripe integrations interact with course access controls, and how live class infrastructure needs to degrade gracefully when a student's connection drops mid-lecture. We treat pedagogy as a product constraint, not a content afterthought.
The edtech UX bar is set by Duolingo, Coursera, and Khan Academy. Learners expect progress that feels rewarding, content that loads on a 4G connection, and assessments that give meaningful feedback — not a percentage score. We build to that standard: gamified progress systems, mobile-first delivery, and the analytics that tell educators what's actually working.
EdTech sub-verticals.
What we actually build.
LMS architecture & course delivery
Multi-tenant LMS infrastructure, SCORM/xAPI content ingestion, course builder tooling, progress tracking, completion certificates, and the access-control model that gates content correctly across subscription tiers.
Adaptive learning engines
Spaced repetition, mastery-based progression, personalised content sequencing, and the learner-model data structures that let your platform adjust difficulty in real time based on performance signals.
Virtual classroom & live learning
WebRTC-based video classrooms, screen sharing, interactive whiteboards, breakout rooms, live polling, and the infrastructure that keeps a 500-student lecture stable when half the class is on mobile.
Assessment & quiz engines
Question banks, randomised assessment generation, anti-cheating controls, auto-grading for structured responses, rubric-based grading workflows, and the reporting your educators need to intervene early.
Learner analytics & reporting
Engagement tracking, time-on-task measurement, cohort progress dashboards, early-warning systems for at-risk learners, and the xAPI data pipeline that feeds your institutional analytics warehouse.
Monetisation & access control
Stripe subscription management, course bundles, cohort-based access windows, B2B seat licensing for corporate accounts, promo codes, and the entitlement layer that prevents content leakage across tiers.
The three layers every learning platform needs.
Most LMS platforms stall at scale because content delivery, adaptive logic, and live learning were built as separate bolt-ons. We engineer all three as first-class systems from day one.
Content & Delivery
- SCORM 1.2 / SCORM 2004 / xAPI ingestion
- Multi-bitrate video delivery via Mux
- Course builder with drag-and-drop lesson editor
- Mobile-first responsive player (iOS & Android)
- Offline download & sync for low-bandwidth learners
Adaptive Learning Engine
- Spaced repetition scheduling (SM-2 / FSRS algorithm)
- Mastery-based progression gates
- AI-driven content sequencing (Claude-powered)
- Difficulty calibration from assessment performance
- Personalised review queues & daily study plans
Live Classroom & Assessment
- WebRTC video classrooms (Daily.co / LiveKit)
- Breakout rooms, whiteboards & live polling
- Randomised quiz generation from question banks
- Auto-grading + rubric-based manual review
- Proctoring controls & honour code enforcement
WCAG 2.1 AA accessibility tested on every component — not audited at the end
Keyboard navigation · Screen reader · Closed captions · Colour contrast · Section 508
EdTech tools & standards we integrate.
Video infrastructure, learning standards, HRIS platforms, and AI tools — each with the production edge cases we've already hit and engineered around.
Built for regulated education.
EdTech sits at the intersection of student privacy law, accessibility mandates, and interoperability standards. We treat every requirement as an engineering constraint, not a post-launch checklist.
Tools we reach for first.
From architecture audit to live learners.
Every EdTech engagement starts with a learning architecture audit and ends with outcome dashboards — so educators know what's working before the next cohort starts.
Learning architecture audit
We map your content library format, learner data model, assessment types, and compliance requirements (FERPA, COPPA, SCORM) before writing a line of code. You get a written platform architecture document and an accessibility checklist your product team can hold to.
Platform & data architecture
We design the multi-tenant LMS schema, progress-tracking data model, content delivery pipeline, and adaptive engine architecture. Decisions like SCORM vs. xAPI and rules-based vs. ML-driven adaptation are made here with your content and learner scale in mind.
Build with learner experience in-line
Accessibility is tested on every component, not audited at the end. Video start-play times are budgeted per PR. Progress state is idempotent — a learner who drops mid-lesson resumes exactly where they left off, on any device. No last-minute accessibility sprints before accreditation.
Launch & learning reliability handoff
We instrument completion rates, assessment scores by cohort, video engagement drop-off points, and quiz difficulty calibration. You get dashboards for instructors, operations runbooks for content updates, and on-call escalation paths for live classroom outages.
Where to start.
Frequently asked.
7 questions answered. Still have one? Reach out.
Yes — we implement SCORM 1.2, SCORM 2004, and xAPI (Tin Can) content ingestion and tracking. SCORM is a solved engineering problem; the complexity is in how different authoring tools (Articulate, Lectora, iSpring) emit tracking events differently. We test against the major authoring tools and handle the edge cases in the runtime layer, not the content.
Let's build what's next.
Tell us what you’re building. We’ll tell you how we’d help.