EdTech
LMS development, adaptive learning systems, content delivery, and student data infrastructure: built by engineers who understand that education products need to work reliably for thousands of concurrent learners.
Where edtech engineering gets complicated
Unlike most SaaS products, edtech platforms have highly predictable peak usage: class start times, exam periods, and assignment deadlines all drive traffic spikes that need to be planned for.
Canvas, Moodle, Blackboard, and school information systems each have their own APIs, data models, and authentication flows. Reliable integrations take more work than they should.
Student data is heavily regulated, especially for K-12 products in the US. Engineers who haven't worked in education often don't know what data they can and can't collect.
Course video is typically the largest cost and the highest-risk component. Encoding, CDN strategy, adaptive bitrate streaming, and offline access all need careful engineering.
What we build
Custom LMS platforms, Moodle customization, Canvas integrations, and SCORM/xAPI compliant content players. Engineers who understand IMS standards.
Transcoding pipelines, HLS/DASH streaming, DRM integration, and offline download systems. Engineers who've worked with Mux, Cloudflare Stream, or AWS MediaConvert.
Question banks, randomized assessments, rubric-based grading, and anti-cheating tooling for high-stakes assessments.
AI in this industry
AI tutoring systems, automated essay scoring, and intelligent content recommendation are moving from research prototypes to production features in edtech. Engineers working in this space need to understand not just the models but the pedagogical evidence base: what actually improves learning outcomes versus what just looks impressive in a demo.
Common tech stack
React
Next.js
React Native
Node.js
Python
PostgreSQL
Redis
Elasticsearch
AWS
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We'll match you with engineers who understand the domain.
