Software built and proven for EdTech platforms that scale learning, not just traffic.
Learning management systems, adaptive learning engines, and AI-tutor integrations, built and tested for platforms where a broken lesson or a stalled upload is a lost learner, not just a bug ticket.
How we adapt delivery to this industry.
Senior people on the actual work
No layered account teams between you and the build.
Designed for the bad day
Failover, retries and load behaviour proven before launch.
Threat modelled from the start
Secure defaults, dependency hygiene, and audit trails.
Budgets, not guesses
Latency and throughput targets set and measured.
Usable by everyone
WCAG 2.2 checks built into the pipeline.
Predictable, on a fixed cadence
Demo-ready increments and transparent reporting.
What building for EdTech actually requires.
EdTech software is judged on two things at once: whether a learner finishes the lesson, and whether a parent, teacher, or district trusts the platform with a child's data and progress. Getting one right and not the other is a common failure mode.
Content and interaction models vary by age group and subject in ways that generic web QA doesn't cover. A video-based course, a code sandbox, and an adaptive assessment engine each fail differently, and each needs test scenarios built around how that format actually gets used in a classroom or at home.
Compliance follows the learner, not just the vendor. FERPA (and COPPA where users are under 13) shapes what can be collected, stored, and shared, and that has to be designed into the schema and the AI layer from day one, not retrofitted after an audit finding.
What we build.
Learning management systems, course authoring tools, and cohort or classroom management built around real teaching workflows.
AI-powered tutoring and personalization, adaptive learning paths, auto-graded assessments, and RAG-based Q&A over course content.
SCORM and xAPI-compliant content delivery, LTI integrations, and gradebook sync with school and district systems.
Video and live-session infrastructure, low-latency streaming, recording, and classroom engagement tools built in.
Where it breaks without care.
Adaptive logic gets tested with generic QA scripts instead of real learner-progression scenarios, so branching paths that make sense in a design doc misfire in front of an actual student.
FERPA and COPPA obligations get treated as a legal checklist reviewed at launch, instead of a constraint on the data model from the first migration.
SCORM and xAPI packages that pass a vendor's own test harness fail silently inside a school's actual LMS, because interoperability testing happens too late to catch platform-specific quirks.
Accessibility gets deprioritized for younger and assistive-technology-dependent learners, even though it's often a legal requirement for the institutions buying the platform.
How we deliver it.
Learner-progression scenarios mapped before adaptive logic is built, so branching, mastery, and remediation paths are validated against realistic usage, not just the happy path.
FERPA and COPPA requirements mapped to the data model and the AI layer at the architecture stage, with evidence produced as part of the build, not bolted on for a compliance review.
SCORM, xAPI, and LTI interoperability tested against real LMS targets (Canvas, Moodle, Google Classroom), not just a reference player.
Accessibility and low-bandwidth performance validated for the devices and connections learners actually use, including shared and older hardware.
Load and concurrency testing built around the platform's real peak: the start of a term, a scheduled exam window, or a live class session, not an average-traffic assumption.
Industry focus areas.
LMS and course authoring platforms built and tested against real classroom and cohort workflows.
AI tutoring, adaptive assessment, and personalization engines built with evaluation and guardrails from the start.
FERPA and COPPA-aware data handling, consent flows, and access controls verified against the platform's data model.
SCORM, xAPI, and LTI interoperability validated against real LMS targets, not just reference players.
Live-session and video infrastructure load-tested for concurrent classroom and cohort peaks.
Accessibility for younger and assistive-technology-dependent learners tested against WCAG 2.2.
Tools and technologies.
EdTech engagements need a stack that handles content delivery, adaptive logic, and classroom-scale concurrency without slowing releases down. The pairings below span the product build, the AI layer, and the release process; the right mix is sized to the platform's content model and integration surface.
Platform
AI
Testing & release
Evaluating a build partner?
A two-week scoping engagement covering FERPA/COPPA-aware architecture review, LMS interoperability mapping, and a 90-day delivery plan across build and QA.
EdTech: common questions.
What is specific about testing EdTech products?
Usage is spiky and deadline-driven, accessibility is often a procurement requirement rather than a nice-to-have, and the platform must work on old school hardware and constrained networks.
Do you handle accessibility compliance?
Yes. We test against WCAG 2.2 with assistive technology, not just automated scans, and produce the evidence institutional buyers ask for during procurement.
How do you test for term-start load?
By modelling the real pattern: thousands of simultaneous logins in a narrow window, then sustained concurrent sessions. That profile breaks systems that comfortably handle a higher average load spread through the day.
Make your next releaseuneventful.
Book a free 30-minute scoping call. We'll review your stack and roadmap and show you exactly where the risk, and the opportunity, is hiding, no pitch deck required.