Winny AI builds educational AI ready to support learners in Vanuatu

Five selected mission components from the MoET Corporate Plan 2026–⁠2030

These cards select five mission components for a proposed contribution to learning, not five exhaustive national goals or completed reforms. The plan’s preface states that Section 7 remains unrevised pending a baseline study and Education Forum 2026. Local priorities and project requirements would be confirmed with education partners.

• Early learning support

  Teacher- and family-supported age-appropriate practice can be considered after local curriculum, content and child-safeguarding review; no dedicated early-years deployment or physical-infrastructure provision is claimed.

  Selected extract and source

  “Early Childhood Care and Education”

  MoET Corporate Plan 2026–⁠2030, mission, printed page 3 / web PDF index 5 — short original English extract

• Locally validated learning

  Curriculum, content, textbooks, language, terminology and assessment requirements would be agreed and validated locally before institutional use; no completed national alignment is claimed.

  Selected extract and source

  “basic education”

  MoET Corporate Plan 2026–⁠2030, mission, printed page 3 / web PDF index 5 — short original English extract

• Secondary learning pathways

  Learning interests and guided exploration can support discussion of secondary pathways; no accredited qualification, job placement or guaranteed outcome is promised.

  Selected extract and source

  “Expanded opportunities”

  MoET Corporate Plan 2026–⁠2030, mission, printed page 3 / web PDF index 5 — short original English extract

• Family participation

  Teacher-linked progress views and parent accounts can support discussion of learning within an agreed project, with lawful authorised access and child safeguards.

  Selected extract and source

  “parents and communities”

  MoET Corporate Plan 2026–⁠2030, mission, printed page 3 / web PDF index 5 — short original English extract

• Lawful reporting and support

  Reporting objectives, authorised roles and human oversight can be agreed for a project. No existing national data exchange or guaranteed education-system outcome is claimed.

  Selected extract and source

  “accountable education system”

  MoET Corporate Plan 2026–⁠2030, mission, printed page 3 / web PDF index 5 — short original English extract

Learning support for primary and secondary education MoET Corporate Plan 2026–⁠2030, mission, printed page 3; preface, printed page 1

An AI tutor to support learning

Education research has long known the most effective way to learn: one-to-one work with a tutor. Until now, only a few could have it — AI opens it up to every learner.

Regular classroomWith a personal tutorahead of 98% of peers

98%

On average, a student with a personal tutor outperforms 98% of peers in a regular classroom.

Bloom B. S., The 2 Sigma Problem, Educational Researcher, 1984

1.5 years

Six weeks of sessions with an AI tutor raised results by about 0.3 standard deviations — roughly a year and a half of typical learning.

De Simone et al., World Bank, randomized study, Nigeria, 2025

×2

Students with an AI tutor learned more than twice as much in less time than in active-learning classes.

Kestin et al., Harvard University, Scientific Reports, 2025

+1 pp

A gain of 0.5 standard deviations in learning outcomes is associated with about 1 percentage point faster long-run growth of GDP per capita each year.

Hanushek & Woessmann, OECD, 2010

These are independent studies of tutoring (by people and by AI) and of the economics of education. We propose to measure the impact of Winny AI Tutor together with the country — in a pilot with independent evaluation.

Flagship product of Winny AI

Winny AI Tutor — an international learning ecosystem

A personal AI tutor in a chat format for learners in primary and secondary education — across school subjects, foreign languages and hobbies — with connected accounts for parents, teachers and schools.

For the learner

• Leads to understanding

  No finished solutions: guiding questions and step-by-step hints.

• The country’s curriculum and textbooks

  The knowledge graph connects subjects and learning materials. Curriculum, content, textbooks, language, terminology and assessment requirements would be agreed and validated with local education partners.

• Beyond lessons

  Answers difficult questions thoughtfully, in a way that suits the learner’s age, and handles sensitive topics with care.

• Encouragement

  Gently supports learners and helps ease stress and anxiety — for example, before exams.

Phone, tablet and computer — in the browser, nothing to install. Voice, photo and text.

Four roles. One ecosystem

• Learner

  A personal tutor around the clock, a learning path, goals and assignments.

  Try it

• Parent

  Their own account and chat: the child’s progress, strengths, gaps and talents.

  Try it

• Teacher

  An AI assistant, class analytics, assignments and groups. Free, with generous limits.

  Try it

• School and government

  Authorised administration and aggregated learning insights within an agreed project; hosting, access and human oversight require local assessment.

  Request a presentation

Core features are free forever. Free for teachers, with generous limits.

For every question — the best-suited model and real pedagogy, not just an answer

Winny AI’s own technology: a model orchestrator, a pedagogical agent, a safety layer and long-term memory of each learner. The product does not depend on any single AI provider.

• Model orchestrator

  For each request it chooses the best-suited model, including national ones, and tunes its behaviour to the subject, language and task. A model can be replaced without rewriting the product.

• Pedagogical agent

  Plans every reply to lead the learner to understanding: guiding questions and step-by-step hints instead of a finished answer. It holds firm when a learner tries to coax out the answer, and this mode cannot be switched off.

• Safety layer

  Checks every answer for child safety and for correct references to learning materials.

• Learner’s digital twin

  A competency profile and long-term memory: Winny AI Tutor remembers years of learning — what the learner already understands, where the gaps are, what their talents are and which goal they are working toward.

• Ontological interdisciplinary graphs

  School subjects are connected in a single knowledge graph built from textbooks and approved curricula, so the tutor sees the links between topics across subjects.

• Bloom’s taxonomy

  Every topic is broken down into levels of mastery following Bloom’s taxonomy: learners climb the ladder of thinking instead of collecting ready answers.

Every update goes through a pedagogical quality loop: a test bench with synthetic AI learners and quality scales. The orchestrator and the educational ecosystem are registered as intellectual property.

Global technology. National character

A local setup would agree curriculum, content, language, assessment and operating requirements with education partners.

• Curriculum and assessments

  Curriculum, content, textbooks, language, terminology and assessment requirements would be agreed and validated with local education partners. No completed national curriculum alignment or unverified examination format is claimed.

• Language and culture

  Winny AI Tutor can explain and respond in English and French among more than 90 languages, with local content and terminology subject to review. These capabilities are separate from the product interface language. The Ministry’s 2012 language policy recognises Bislama and vernacular early learning and support; it does not prove full current implementation. The complete teaching-language roster, competent Bislama translation, required additional pages and accessible-language plan remain open. No Bislama or vernacular-language AI or product-interface support is claimed here. Initial English and French institutional pages do not complete the country’s language scope.

• Models

  National, regional and open-weight models can be considered with the relevant permissions and agreed educational requirements.

• Infrastructure

  Local or closed-environment deployment may be considered after project-specific infrastructure, legal, privacy and security assessment. Hosting, access, child and sensitive-data safeguards and human oversight require review under the Data Protection and Privacy Act No.13 of 2024. Foreign transfers must use the required authorisation or an applicable prescribed-country or other lawful route; no unrestricted foreign-cloud choice is claimed.

• Transparency

  A “glass box”, not a “black box”: regulators can check how answers are built and what they contain.

A proposed path for learning support in Vanuatu

Learners and schools in more than 80 countries already use Winny AI Tutor worldwide. A Vanuatu project would review curriculum, content, language, assessment and data requirements with education partners. Scope and pace would be agreed; no existing national rollout is claimed.

1. First learners and families

   Learners and parents can start with Winny AI Tutor today: core features are free forever. Teachers join free, with generous limits; training workshops for teachers.

   Try Winny AI Tutor

2. Proposed pilot project

   A possible school project with agreed scope and independent impact evaluation; no existing pilot in Vanuatu is claimed.

3. National setup

   Curriculum, assessment, language and deployment requirements would be agreed and reviewed for the planned use.

4. Scaling to the whole country

   Expansion can be discussed after local evaluation, permissions and infrastructure requirements have been assessed.

From a school tutor to a lifelong mentor

We are developing an educational AI ecosystem for learning throughout life: from first words, school and career guidance to university, a profession and upskilling.

1. First steps Developing with partners

   A smart speaker for children: learning by voice from the very first words.

2. School Working today

   School subjects in primary and secondary education: guided assessment practice, talent discovery and career guidance.

   Try Winny AI Tutor

3. Colleges and universities Developing with partners

   Admission, choosing a programme and support for students throughout their studies.

4. Further education Developing with partners

   Hobbies, new skills, upskilling and reskilling — for children and adults.

5. Lifelong mentor Developing with partners

   Professional growth and career throughout life.

Career guidance that looks ahead

Every learner’s talents and an informed choice of career

The world and the job market are changing fast. Winny AI Tutor sees a learner’s strengths, interests and talents in every subject and helps them choose a direction. The next step is to take labor market trends, new technologies and future professions into account.

• Talents in every subject Working today

  The competency digital twin shows a learner’s strengths, gaps and inclinations in each subject.

• Career guidance Working today

  Recommendations on fields of study based on the learner’s strengths and interests — to support their own decision about the future.

• Atlas of future professions Developing with partners

  Together with experts and universities, we are developing an atlas of future professions so that career guidance reflects labor market trends and new technologies.

• Neuroprofiling Developing with partners

  We work with experts in neuroprofiling to prepare diagnostics of talents and inclinations, including with neural interfaces — voluntary and with parental consent. Any such project would also require assessment of applicable legal bases, child and sensitive-data safeguards and appropriate human oversight; consent alone is not represented as sufficient for compliance.

For education authorities: learners’ strengths and interests can inform discussion of fields of study and educational planning.

Winny AI · AI-Native Enterprise

A global EdTech company of a new kind

Winny AI builds AI solutions for personalised learning, with an ethical approach to adopting artificial intelligence and respect for national education standards.

A team of experts and hundreds of AI agents

Alongside our team, spread across the world, hundreds of AI agents are at work: they build the company together with us — which is how the team gets so much done.

• R&D
• Product
• Methodology
• Sales
• Customer experience

• Technology

  The founder has more than 14 years in SaaS and product development, more than 8 of them in senior leadership (C-level); he led the technology function of an international IT service with more than 30 million users.

• Education

  Our own methodology department; the methodology was developed with teachers and curriculum specialists.

• AI ethics and regulation

  Experts in the law and regulation of AI in education on the team; our own AI governance charter.

• International work

  We speak at international conferences and round tables on AI in education; nominee for the UNESCO Prize for the Use of ICTs in Education.

• Leadership

  Heads of functions, including holders of doctoral degrees, with experience at big tech and leading EdTech companies: strategy, finance, sales, product, methodology, customer experience.

Around the team — dozens of strategic partners worldwide and academic collaborations.