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06 / EDUCATION

Learning platforms serve twousers at once.

Educational software has to work for the learner and for the person responsible for their progress. We build curriculum delivery, learning platforms and progress systems that serve both — a competency developed through delivered work in the sector.

THE PROBLEM

Two audiences, one system

A learning platform is used by learners who need it to be simple, and by educators and administrators who need it to be complete. Optimising for one at the expense of the other is the most common failure in the category.

Add institutional procurement cycles, accessibility obligations, and content that must be updated by non-technical staff, and the platform requirements extend well past content delivery.

SYSTEMS WE BUILD

What we build for education.

01

Curriculum platforms

Structured content delivery with sequencing, scheduling and differentiation built into the model.

02

Learning management

Enrolment, cohorts, assignment and completion tracking across programmes.

03

Progress and reporting

Reporting for educators and administrators that reflects the outcomes the institution is measured on.

04

Content authoring

Tooling that lets non-technical staff maintain and publish material without an engineering request.

05

Accessible delivery

Interfaces built to accessibility standards, because in this sector it is a requirement rather than a preference.

INTELLIGENCE

Where AI genuinely changes the outcome.

And, just as importantly, where it does not. We are direct about which problems in this sector are better solved with conventional software.

Content adaptation

Producing variants of existing material for different reading levels and contexts, with educator review before publication.

Progress insight

Surfacing where a cohort is struggling early enough for an educator to act on it.

Administrative reduction

Automating the reporting and documentation work that takes educators away from teaching.

CAPABILITIES

Recurring product requirements.

  • Content delivery
  • Cohort management
  • Progress tracking
  • Authoring tools
  • Accessibility
  • Reporting
  • Integrations

PROCESS

From ambiguity to production.

  1. 01

    Discover

    Understand the business, the users, the constraints and the actual opportunity — including where software is not the answer.

  2. 02

    Architect

    Define the product, the AI approach, the data model and the system architecture, with the trade-offs written down rather than assumed.

  3. 03

    Build

    Engineer the software and the intelligence layers together, in short cycles, against criteria agreed before work started.

  4. 04

    Validate

    Test functionality, quality, security and — where models are involved — behaviour, against inputs that reflect real use.

  5. 05

    Deploy

    Launch through infrastructure and pipelines built for repeatable release, with a rollback path that has been exercised.

  6. 06

    Evolve

    Observe how the system behaves in production, improve it against that evidence, and scale what is working.

TECHNOLOGY

Typical stack for this work.

Product

  • React
  • Next.js
  • TypeScript
  • JavaScript
  • Node.js
  • Express
  • ASP.NET
  • Laravel
  • Ruby on Rails
  • Vue.js
  • Nuxt
  • Tailwind CSS

Cloud & DevOps

  • AWS
  • Azure
  • Google Cloud
  • Docker
  • Kubernetes
  • Terraform
  • Jenkins
  • Git
  • Bitbucket

Data

  • PostgreSQL
  • MySQL
  • MongoDB
  • Redis
  • Firebase
  • Power BI
  • Plotly
  • Seaborn
  • Dash
  • Scala

FAQ

Common questions.

Yes. We target WCAG AA across all work, and in education it is treated as a delivery requirement subject to testing rather than a review item at the end.

NEXT STEP

Building something in education?

Tell us the constraints — regulatory, operational or technical. Those are usually what decides the architecture.