Education,
engineered for the learner.
SIS, LMS, learning experiences, admissions, analytics and AI-native pedagogy, engineered around the learner, the educator and the institution, not around a vendor demo.
The territory, in four numbers we hold ourselves to.
Education is judged by outcomes, access and retention, not by product features. These are the numbers we design against.
- 10–20%
- Retention uplift
- WCAG 2.2 AA
- By design
- 6–10
- Weeks
- FERPA + GDPR
- Native
Typical outcome on well-engineered early-alert and support programmes
Accessibility engineered, not audited later
To first release on a scoped learning or admissions slice
Student-data privacy engineered from day one
The education formats we build for.
Education is a family of operating models, K-12, higher-ed, EdTech, corporate training and vocational, with distinct rhythms and constraints. We tailor architecture and delivery to the model you actually run.
K-12 & schools
Classroom, family and district platforms engineered for the reality of teaching and learning at scale.
Higher education
SIS, LMS, admissions, campus-life and research platforms integrated across the university estate.
EdTech & digital learning
Consumer, employer and institutional platforms delivering learning at scale as a product.
Corporate learning & training
Enterprise learning platforms, compliance training and skills-development programmes engineered for measurable uplift.
Vocational & further education
Practical, work-linked and adult-learning programmes with distinct assessment and funding realities.
Publishing & content
Educational content platforms, adaptive learning and rights-managed distribution engineered as products.
Services we deliver into education.
Every education engagement blends learner-facing surfaces, institutional systems and modern engineering. These are the practices we most commonly deploy for K-12, higher-ed, EdTech and training, each linked to its dedicated practice page.
The education estate we engineer end to end.
The education organisations that pull ahead treat learner, educator, institutional and analytics estates as one connected system, measured by outcomes, not by feature parity.
- 01Learning experience & LMS
- Modern learning experiences, LMS surfaces, content authoring and adaptive pathways designed against pedagogical reality.
- 02SIS & institutional core
- Student information systems, enrolment, grading, transcripts and academic-ops surfaces integrated with the rest of the estate.
- 03Admissions & recruitment
- Prospect, applicant and enrolled-student journeys engineered as connected products, with CRM, communications and yield analytics.
- 04Assessment & outcomes
- Formative and summative assessment, learning analytics and outcomes-based reporting on modelled learner data.
- 05AI in pedagogy & operations
- Tutoring assistants, adaptive learning, educator copilots and administrative agents, with evaluation and human-in-the-loop by design.
- 06Privacy, safety & compliance
- Student data privacy, child safety, accessibility and jurisdiction-specific regulation designed into the platform.
Trusted by universities, schools and EdTech.
A representative sample of the universities, districts, EdTech companies and training providers we've engineered with.
Programmes delivered in this sector.
What clients ask us first
01SIS/LMS modernisation or replatform?
By institution, on evidence. Modernisation wins where the incumbent platform is functional and the constraint is agility, modern surfaces, APIs and analytics land value in months. Replatform wins where the incumbent has drifted from institutional reality, or where a multi-campus consolidation warrants a single spine. Cutovers are rolling, reconciled and reversible.
02Where does AI genuinely earn its place in education?
In tutoring and feedback grounded in your curriculum, in adaptive learning where signal is real, in early-alert models with proper evaluation, in educator copilots for lesson planning and assessment, and in administrative triage. In every case model governance and human oversight are engineered, because education AI touches vulnerable users and academic-integrity concerns.
03How do you handle FERPA, GDPR and student data privacy?
As engineering, not documentation. Controls, identity, encryption, audit and consent are designed into the platform. Evidence is generated by delivery. Jurisdiction-specific student data regimes are aligned during design, not before audit. Child safety is a first-class concern in K-12 engagements.
04How do you handle peak term-start load?
As engineering. Load-tested against real term-start profiles. Autoscaling that's honest. Error budgets tuned tighter for enrolment windows and results-day peaks. Institutions that trade cleanly through term-start are the ones that engineered for it before enrolment opened.
05How do you approach accessibility?
WCAG 2.2 AA is a requirement, not an aspiration. Accessible design is engineered from day one, not audited before launch. For institutions serving diverse learners, accessibility engineering is a competitive advantage as much as a compliance obligation.
Let's discuss your education programme.
Share a brief overview of the institution, systems and learner outcomes you're chasing, we'll arrange an introductory conversation with the relevant practice leadership.