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Learning, coaching & edtech

Education

AI coaching and learning analytics that remember context and stay available as usage grows.

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From challenge to value

Coaching that
remembers.

Client work first, then applications we build for teams like yours.

01
From a client engagement

AI coaching platform

The challenge

Coaching is personal and effective, but it cannot reach users daily or remember every past conversation at scale.

What we build

A RAG-based assistant on OpenAI models that adapts to each user’s history, summarises past sessions, tracks goals and recommends next activities.

Engineering considerations
  • Consistent, safe responses
  • Memory that respects privacy
  • Uptime as daily conversations grow
Project outcome
A coaching assistant people come back to.
Higher engagement.Users return to an assistant that remembers their goals and progress.
Less coach effort.Summaries, nudges and recommendations replace manual follow-up.
A dependable engine.The coaching engine stays available as daily conversations grow.
Education & coaching · individual engagementView case study
02
Example application

Learning analytics

The challenge

Institutions see results at the end of a term, too late to help the learners who needed it.

What we build

Unified learning data with early-warning models and dashboards for teachers and programme leads.

  • Earlier interventions
  • One view of each learner
  • Evidence for programme decisions
Engineering considerations
  • Joining data across tools
  • Fairness in risk models
  • Actionable, not alarming, alerts
Connected intelligence

See the signal. Act earlier.

A conceptual learning workflow

Learning tools
Assessments
Progress records
Early-warning modelsContext → Analysis → Recommendation
Teacher & programme decisions

Human decisions, supported by connected data.

Your next step

Tell us what has
to run, and where.

Your users, workloads and constraints are where the design starts.

Book a 45‑minute discovery call