School Pilot Pack

A practical packet for a 30-seat Math.Foundation classroom pilot.

Use this page with school leaders, curriculum teams, wellbeing leads, privacy reviewers, and procurement contacts. It explains the offer, timeline, data posture, AI safety posture, and next step without asking a school to decode a sales deck.

Calculate rollout pricing View sample report

1-page overview

Math.Foundation diagnoses the exact gaps behind wrong answers, repairs prerequisite skills with Trinity AI tutoring, and only moves learners forward when mastery evidence is strong enough.

30 seatsrecommended classroom pilot
600 briefsalpha skill graph scope
AUDlocal pricing and invoices

Best pilot fit

Year-level intervention, numeracy catch-up, tutor-supported extension, homeschool support, or a teacher-led proof of the mastery and misconception-diagnosis model.

Pricing

  • Classroom pilot: $1,490 AUD per year for 30 seats.
  • Grade-team rollout: discounted annual pricing for 150 seats.
  • School bundle: discounted annual pricing for 500+ seats.
  • Families can start separately with Foundation at $19 AUD/month or Family at $49 AUD/month.

Use the rollout planner to estimate seats, classroom count, procurement notes, and onboarding needs before checkout.

Implementation timeline

Week 0: confirm pilot owner, student group, consent model, and roster method.
Week 1: run baseline diagnostic and generate classroom gap heatmap.
Weeks 2-5: learners complete repair lessons with teacher-visible mastery evidence.
Week 6: review sample pilot evidence report and decide whether to expand.

Privacy summary

  • No public student profiles or social learning surfaces.
  • Teacher and school views are scoped to their classroom or rollout boundary.
  • Pilot evidence can be exported for school review and handoff.
  • School data processing notes are published for procurement and privacy review.

AI safety summary

  • Trinity AI is positioned as tutoring and diagnosis support, not a replacement for teachers.
  • The product is designed around structured skills, misconception tags, and mastery gates instead of open-ended chatbot browsing.
  • Unsafe or incorrect output can be reported for review.
  • Preview, alpha, and roadmap features are clearly labelled on the public site.

Sample pilot report

The sample report shows the evidence a school should expect from an early pilot: misconception tags, repair focus, engagement signal, and rollout recommendations. It uses sample data rather than real student data.

Open the sample pilot evidence report