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TETRALITICS

Platform

An integrated learning ecosystem, with AI at its core.

Six connected capabilities work together so that every interaction — a question, a lab action, a decision — contributes to a clear picture of what each learner can do.

Capabilities

Six capabilities. One learning record.

  • 01

    Socratic AI Learning Engine

    Guides learners with targeted questions, detects misconceptions and progressively withdraws support as independent reasoning grows.

    • Questioning
    • Misconception detection
    • Fading scaffolds
  • 02

    Adaptive Learning Pathways

    Sequences content and challenges based on demonstrated competence, keeping learners in a productive zone of difficulty.

    • Mastery-based
    • Personalised sequencing
  • 03

    Hands-on Technical Labs

    Simulated environments where learners investigate, configure and troubleshoot — with every action becoming learning evidence.

    • Sandboxed
    • Scenario-driven
  • 04

    Real-world Ticket Simulations

    Realistic helpdesk and operations tickets that develop diagnostic thinking, prioritisation and clear communication.

    • Diagnostics
    • Prioritisation
  • 05

    xAPI Learning Intelligence

    Learning activity is expressed as standard xAPI statements, enabling interoperable analytics across systems.

    • xAPI
    • Interoperable
  • 06

    Competency Verification

    Performance across tutoring, labs and simulations is aggregated into transparent, evidence-backed competency profiles.

    • Evidence-based
    • Transparent criteria

AI at the centre

An AI that develops thinking, rather than replacing it.

Generative AI can make answers effortless. TETRALITICS uses AI for the opposite purpose: to make reasoning visible, deliberate and increasingly independent.

  • Asks before it tells

    The AI responds to a learner’s attempt with a question that moves their thinking forward, instead of handing over the answer.

  • Identifies misconceptions

    Responses are analysed for reasoning patterns, so the tutor can address the underlying misunderstanding — not just the wrong answer.

  • Gradually reduces assistance

    Scaffolding fades as competence grows. The goal is a learner who no longer needs the tutor for that skill.

  • Keeps educators in the loop

    Teachers and learning leads see how learners reason and can review, adjust or override AI guidance.

Fading scaffoldingConceptual model

Level of AI assistance as a learner progresses through a skill.

  1. Worked exampleStage 1
  2. Guided questionsStage 2
  3. Hints on requestStage 3
  4. IndependentStage 4
High assistanceDemonstrated independence

See the reasoning loop in action.

Walk through a Socratic tutoring session, a simulated helpdesk lab and a sample learning analytics dashboard — all running in your browser.

Explore Interactive DemoContact us