Schools, universities, and education institutions

Build safe, practical AI capability across education.

Chatoner combines student AI literacy, teacher enablement, academic integrity, AI safety, safeguarding, age-aware projects, curriculum licensing, and institution reporting.

AI Learning Command CenterPractical project lab · Human-led review
Demonstration
Illustrative project labAI App & Website Builder
Project · ai-app-lab
Frontend screensComplete
Backend + dataComplete
Launch readinessReview
Current learning taskPrepare for launch

Package the project, evidence and learner explanation for final human approval.

Learner
Presents the finished work
AI support
Organises the evidence
Mentor
Makes the final decision
Build evidenceOutput
Captured
Project stage · Present✓ project compiled✓ checks and proof attached→ mentor approval requiredlaunch: held for review
Quality gateVerification checklist
3 passed
  • Goal and user are clearChecked
  • Main screens and data workChecked
  • Tests and privacy checks passChecked
  • Mentor approves launchIn review
Learn Build Prove Human review
Illustrative learning project · No live learner data
StudentsAI-literate

Age-appropriate, practical, and safety-aware

EducatorsEnabled

Delivery, assessment, integrity, support

ProjectsEvidence-based

Approval, review, safety, and visibility

InstitutionGoverned

Consent, safeguarding, reporting, licensing

Institution solution

A complete education operating model, not a one-off AI workshop.

Older students learning responsible AI prompting and source verification with an educator01
Institution capability

Student AI literacy

Understand AI capabilities, limitations, prompt and context practice, verification, privacy, disclosure, and responsible use.

Educators collaboratively preparing an AI lesson and assessment approach02
Institution capability

Teacher enablement

Prepare educators to deliver curriculum, support learners, design assessment, manage integrity, and identify risk.

Faculty reviewers examining sources, citation evidence, and authorship together03
Institution capability

Academic integrity

Define allowed and prohibited use, citation, disclosure, source verification, case handling, and appeals.

Older students using managed AI learning tools with supportive educator oversight04
Institution capability

Student AI safety

Use approved tools, age restrictions, managed accounts, data rules, unsafe-use reporting, and guardian resources.

Safeguarding professionals conducting a confidential, accountable case review05
Institution capability

Safeguarding

Maintain restricted cases, communication boundaries, guardian consent, assigned officers, and immutable evidence.

Curriculum designers organizing modular AI learning materials across formats06
Institution capability

Curriculum and licensing

License versioned curricula, educator guides, student resources, localization, accessibility, and usage rights.

Classroom, practice, and institutional conversations

Use the right learning or conversation environment for each job.

Chatoner Class and Chatoner AI Labs sit under AI Academy, while Chatoner Meet sits under AI Conversations. Their distinct responsibilities protect learner access, academic context, consent, and institutional ownership.

Chatoner Class

Live classes, tutoring, workshops, teaching, group activities, participation, and live assessment—with educator control and approved accessibility and safeguarding arrangements.

Explore Chatoner Class

Chatoner AI Labs

AI Academy practical environments available through direct access, while Program learners use only the eligible Labs attached to their active Program without a second charge for those included Labs.

Explore Chatoner AI Labs

Chatoner Meet

Admissions, advising, guardian conversations, office hours, partnerships, and other institutional conversations that are not the live classroom runtime.

Review Chatoner Meet
Education appointment contexts

Use Chatoner Meet only where a real institutional conversation needs continuity.

The demonstration can illustrate admissions conversations, advising appointments, parent or guardian meetings, office hours, and partnership discussions. Live teaching belongs in Chatoner Class; entitled practical work belongs in Chatoner AI Labs.

Chatoner MeetInstitutional conversation continuity
Context connectedIllustrative
Applicant support

Admissions conversation

Carry a qualified applicant question into a prepared conversation and back to an owned application step.

Continuity passportApplicant → admissions adviserOnly approved context travels
Context → prepare → meet → review → returnStage 01 / 05
Meeting need confirmed
Active continuity stageQuestion qualified
Human-led

The applicant’s question, preferred language and permitted details become a clear meeting purpose.

Live journey signalMeeting need confirmed
Named owner
Admissions coordinator
People involved
Applicant + adviser
Consent boundary
Carry only permitted applicant context
Evidence kept
Question · purpose · permission
Chatoner Meet supportsPrepared context · people meet · reviewed follow-up
The institution keeps controlAdmissions decisions and applicant records
Not replacedLMSClassroomSafeguardingConsent policy
Message contextChatoner MeetReviewed outcomeOriginal workflow
Illustrative workflow · Not live learner data
Trust and safety

Education AI needs stronger boundaries and evidence.

Student progress, guardian consent, safeguarding, integrity cases, accessibility, and educator decisions require field-level authorization, restricted workflows, auditability, and clear limits on analytics and AI processing.

Guardian and learner privacy

Show guardians only age-appropriate, permissioned progress, never private learner messages, restricted support notes, or safeguarding information.

Human-reviewed academic decisions

AI may support triage or evidence organization but should not make opaque grading, discipline, safeguarding, or student-impact decisions.

Approved public showcase

Student projects require educator approval, guardian approval where applicable, safety review, integrity review, and controlled visibility.

Governed AI

Clear boundaries, named owners, visible evidence.

  • Data minimization

  • Training

  • AI safety

  • Human approval

  • Monitoring

BoundariesOwnersEvidence
Institution proof

Report learning, safety, participation, and project outcomes together.

Learning outcomes

Participation, completion, skills, teacher enablement, attendance, project evidence, and credentials.

Safety and consent

Policy acknowledgement, approved-tool compliance, guardian consent, accessibility, integrity, and safeguarding readiness.

Institution operations

Classes, curricula, educators, licenses, invoices, support, reporting, and connected institution systems.

African and East Asian adults reviewing an AI project with an educator
Responsible learning

Evidence is reviewed together.

Educators and adult learners examine the work, its sources, limitations, safety, and practical value before making claims.