AI-assisted · human-reviewed · for UK edtech teams

Build the learning work around your product.

Quillattice supports UK edtech teams with learning content, mathematical data analysis, presentations, visual assets and educational video planning.

Start with a product question, learning objective or supplied data. Shape the work for the learners, educators or institutions who will use it.

Tell us about an edtech projectExplore the services
A learning brief is shaped through subject knowledge and human review into a practical education resource.A learning brief is shaped through subject knowledge and human review into a practical education resource.
A clear brief connects the learning purpose, context and intended format.

Four ways to support the work

Learning, insight and communication for your brief.

Each service starts with the material and context you supply, then takes the form that best fits the learning or communication task.

  1. LEARNING CONTENT

    Learning content

    Shape a learning objective into explanations, questions, worked examples and classroom-ready resources for the intended learners and education context.

    Read about learning content

  2. MATHEMATICAL DATA ANALYSIS

    Mathematical data analysis

    Explore supplied assessment, learner or programme data, identify visible patterns and state what the numbers can support. A pattern alone does not prove a cause or outcome.

    Read about mathematical data analysis

  3. PRESENTATIONS AND VISUAL ASSETS

    Presentations and visual assets

    Shape an education-product, teaching or staff-development message through a clear narrative, slides, diagrams, charts and graphics.

    Read about presentations and visual assets

  4. EDUCATIONAL VIDEO PLANNING

    Educational video planning

    Plan concise videos around one learning idea, with scripts, storyboards and supporting materials to guide the sequence.

    Read about educational video planning

Illustrative insight visual

A visible pattern, with the limit beside it.

This small synthetic score set shows how a summary might be presented without implying that it describes a live product, learner group or outcome.

Inspect the full sample portfolio
Data insightIllustrative sample

Hypothetical fractions check

Scores out of 10

  1. 4
  2. 5
  3. 5
  4. 7
  5. 9
Median5 / 10
Range5 points

Synthetic scores only. Five values do not describe a class or show an intervention effect.

A brief with the right context

Start with the learner and the learning question.

Share the product or feature, who it is for and what the work needs to help explain, explore or communicate.

Learning aim

The objective, concept or question the work should focus on.

People and setting

The learners, educators or institutions and the education context they use.

Supplied material

Relevant content, examples, specifications or assessment and programme data.

Format and review

The deliverable, constraints and review process that fit your product team.

AI-assisted · human-reviewed

AI supports the draft. People shape the deliverable.

AI supports exploration and drafting. Human review, mathematical judgement and classroom context shape the deliverable before it is shared.

The founder holds a BSc in Mathematics from Loughborough University and a PGCE in Mathematical Education from the University of Leicester. He teaches Maths in a secondary school and has experience with higher-attaining pupils, Further Mathematics and UKMT Mathematical Challenges.

A good place to begin

Tell us what your edtech team is working on.

In the project brief, choose “Edtech team” or start with the Edtech team audience template to outline the product, audience and deliverable.

Open the project brief