Software, AI, and cloud engineering for education.
EdTech platforms, LMS, and learner analytics.
How we work in education.
Education teams operate under constraints that most generic software shops underestimate — regulatory, operational, or commercial. We have shipped enough in this sector to know which corners can be cut and which cannot.
Every engagement begins with mapping those constraints explicitly. From there we build in production-shaped slices, with the security, compliance, and observability posture you will eventually be audited against in place from week one.
The non-negotiables are part of the architecture.
Compliance
Accessibility, safeguarding, and institutional reporting needs are built into learner journeys from day one.
Latency
Classroom, assessment, and enrolment flows stay responsive on varied devices and networks.
Auditability
Grades, attendance, interventions, and content changes keep clear histories for learners and institutions.
Data security
Learner records and under-18 data are handled with strict roles, retention, and consent-aware access.
User adoption
Teachers, learners, and administrators get role-specific experiences that respect real classroom behavior.
A pragmatic path from discovery to production.
We avoid theatre by shipping one auditable, observable workflow first, then using real adoption and operating data to guide the next slice.
Map
Make constraints explicit
Document the journeys, systems, controls, and metrics that decide whether the work is safe to ship.
Slice
Build the first production path
Deliver one valuable workflow end to end with integrations, security, telemetry, and support in place.
Scale
Expand with evidence
Use adoption, latency, quality, and business metrics to decide what to automate or modernize next.
Software patterns we see repeatedly in education.
Learning management platforms
Assessment workflows
Learner analytics
Admissions and cohort portals
We choose stacks for reliability, hiring depth, integration fit, and long-term ownership.
Next.js
Learning UX
PostHog
Behavior
PostgreSQL
Progress data
Python
Analytics
The capabilities most often combined for education teams.
A representative outcome, not a vanity demo.
We anchor industry work to measurable operational, commercial, and adoption outcomes.
Pilot window
First production slice
Workflow throughput
After rollout
Critical incidents
During cutover
User score
Front-line feedback
An anonymized operating-platform launch with measurable uptake
A sector team replaced spreadsheet-led workflows with an integrated platform, piloted the highest-volume journey first, and expanded only after adoption and reliability targets were met.
What we typically deliver.
Custom platforms
Core systems built around how your operations actually work, not a vendor template.
AI & data products
Models and pipelines that survive contact with production, with the evaluation harness to prove it.
Cloud & platform
Landing zones, replatform projects, and developer platforms tuned for your compliance footprint.
Modernization
Strangler-pattern moves off ageing systems, with measured cutovers and no big-bang surprises.
Security & compliance
Secure SDLC, threat modeling, and audit-ready evidence baked into delivery — not bolted on.
Embedded teams
Senior engineers and SREs embedded with your team for the time it takes — and not a day longer.
Ready when you are
Talk to a education engineer.
A senior engineer with industry experience will follow up within one business day.