AI Platform Engineering
AI inside the learning platform your learners already use.
We engineer AI into the learning platform, LMS or course marketplace you already run: a tutor that teaches from your own course material and shows its sources, learning paths that adjust to each learner, and quizzes and grading suggestions your teachers review first.
Each feature is wired into the courses, gradebook and learner records you already keep, and every release is tested against your own cases before a learner sees it.
explain photosynthesis simply, I have a test tomorrow
How plants make food
Lesson in your course
The light reactions
Video with transcript
Practice quiz
Hints, not answers
Revision notes
Shared by your teacher
A learner's question finds the right lesson, video, practice set or teacher's note across the courses they are enrolled in.
Answers from the course's own material with the source shown, and guides learners through graded work instead of doing it.
Which part of a leaf cell captures light energy? Answer: the chloroplast. Source: lesson two.
Questions are drafted from a course unit with the answer and its source, and wait for a teacher before learners see them.
Tutor, search and grading changes are checked against your own questions and marked work before learners see them, and the last good release is one step back.
The pieces we build most often. Each one connects to your courses, gradebook and learner records, and each one is judged on your own material.
A tutor that answers from your lessons, readings and videos, shows the passage it used and declines what the course does not cover. On graded work it gives hints and questions, never the finished answer.
Paths that adjust to what each learner has shown they know: what to revisit, what to skip and what comes next, built on your own course structure, with rules your teachers can read and override.
Practice questions, quizzes and assessment items drafted from a course unit, each tagged to its learning objective and its source, with wrong options checked for clarity. A teacher approves every item before learners see it.
Feedback and a suggested mark for essays, short answers and code, scored against your rubric with the evidence quoted. The teacher reads, adjusts and decides; nothing reaches the gradebook without them.
Outlines, lesson drafts, summaries and worked examples produced from your source material and checked against your style guide, so instructional designers start from a draft rather than a blank page.
Courses, captions and assessments translated with your glossary of subject terms kept intact, then reviewed by a fluent person before each language is released to learners.
Speaking practice with feedback on pronunciation and fluency, and natural read-aloud for lessons and texts, so learners can listen, repeat and practise out loud wherever they study.
Early signs that a learner is struggling, drawn from missed work, quiz results and activity, sent to a named teacher or mentor with the reasons shown. A person decides what happens next.
Keyword and semantic search over lessons, videos, transcripts and discussion threads, so a learner's question finds the right moment in the right course, filtered to what they are enrolled in.
Agentic learning
Many learners now study alongside general-purpose AI assistants, and some use agents that act for them. A learning platform has to decide what those agents may read, what they may do and what stays closed to them.
We give agents a governed way in: an MCP server over courses, schedules and progress with the access a learner grants, rules that keep graded assessments and exams closed to agents, and records that show which work an agent touched.
Most platforms start with one feature in one course. We build it inside your stack, prove it on your material and hand it to your team.
A short readiness sprint in your courses, learner data and support requests to choose the first feature and agree how it will be judged, with your teachers in the room.
Engineers work in your repositories and your cloud, wiring the feature into the course content, gradebook and learner records your platform already keeps.
We test on your own questions and marked work before launch, then release to one course or cohort and watch the measures you chose, with a rollback ready.
Runbooks, dashboards and a trained team. You own the code, the prompts and the evaluation set; we can stay on to run it if you want.
Tell us the platform you run and the feature you have in mind, and we will come back with a first view of how we would build it.