Education
AI for personalised learning and institutional intelligence.
Education technology has accumulated enormous amounts of learner data with relatively limited ability to act on it. We build systems that use that data to improve outcomes — for learners, instructors, and institutions.
Common challenges
The problems education teams bring to us most often.
One-size-fits-all content
Most learning platforms deliver the same content sequence to every learner regardless of prior knowledge, pace, or preferred format.
Assessment at scale
Manual grading and feedback is the bottleneck in large cohorts. Automated assessment that maintains quality requires sophisticated NLP and domain modelling.
Learner drop-off
Completion rates on digital learning products are low. Identifying at-risk learners early and intervening effectively requires predictive engagement models.
What we build
Specific systems and capabilities we deliver for education clients.
Personalised learning paths
Adaptive sequencing models that adjust content difficulty, format, and pacing based on each learner's demonstrated knowledge and engagement.
Automated assessment
NLP-based grading and feedback systems for written responses, code submissions, and open-ended questions.
Content summarisation
Lecture and document summarisation pipelines that help learners review material and instructors create study aids at scale.
Engagement analytics
Learner behaviour models that identify drop-off risk, optimal intervention points, and the content formats driving the highest completion.
Institutional dashboards
Analytics platforms that give programme managers visibility into cohort performance, completion trends, and learning outcome attainment.
Related industries
Other sectors we work with.
Working in education?
Tell us what you are building. We will come back with a clear, honest plan — no pitch, no vague estimates.