Winny AI builds educational AI ready to support learners in Tonga

Five policy areas, with proposed learning support

The framework distinguishes five policy areas from four education goals. These five selected themes draw on those policy areas; they are not a five-goal list or achieved national outcomes. Project scope, content, permissions and evaluation would be agreed with responsible education partners.

• Supporting learner well-being

  Age-appropriate guided practice can complement teachers and help learners work through learning tasks with encouragement. Local educational and child-safeguarding review is required; no therapy, clinical diagnosis or replacement of human support is proposed.

  Selected extract and source

  “Student well-being”

  Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed page 10 — short original English extract

• Locally relevant learning

  Learning materials and guided practice could support locally agreed objectives, with relevant content rights and educational review. No physical-infrastructure provision, connectivity guarantee or offline Winny AI operation is claimed.

  Selected extract and source

  “resilience and sustainable development”

  Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed page 11 — short original English extract

• Fair learning opportunities

  Locally agreed and validated support can complement teachers and support learners. No universal coverage, connectivity guarantee or replacement of school infrastructure is claimed.

  Selected extract and source

  “Equitable access”

  Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed page 11 — short original English extract

• Cooperation with families and educators

  Schools, families and responsible local education partners could agree how guided practice and progress information are used. Naming institutions does not establish a Winny partnership, endorsement or access to records.

  Selected extract and source

  “Partnerships and Community Connectedness”

  Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed page 12 — short original English extract

• Responsible education insights

  Authorised data roles, reporting purposes and human responsibilities could be agreed for a pilot. Lawful processing and project-specific review are prerequisites; no automatic Ministry-record access or guaranteed administrative result is claimed.

  Selected extract and source

  “Governance and Leadership”

  Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed page 12 — short original English extract

Proposed support for learners, teachers, families and education teams Tonga Education Strategic Policy Framework (TESPF) 2025–⁠2035, printed pages 10–⁠12; selected themes

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

  Proposed administration and aggregated learning insights, with agreed access roles, lawful processing and deployment requirements.

  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 learning material in English among more than 90 languages, with local content and terminology subject to review. AI explanation language is separate from the current product interface language. The Tongan page, Niuafo’ou language scope, wider teaching-language and accessibility plan, and competent additional translations remain open. No Tongan, Niuafo’ou or other local-language AI or product-interface support is claimed. This initial English institutional page does not complete the country’s language scope.

• Models

  National, regional and open-weight models can be considered with relevant permissions, language suitability tests and agreed educational requirements; no Tonga-specific model is claimed.

• Infrastructure

  Local or closed-environment deployment may be considered subject to project infrastructure, current privacy, child safeguarding and security requirements, including lawful processing, appropriate permissions, hosting and international transfers.

• 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 Tonga

Learners and schools in more than 80 countries use Winny AI Tutor worldwide. This global presence does not establish a national deployment in Tonga. A local project would agree and validate its scope, content, languages, assessment and data requirements with responsible partners.

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 Tonga is claimed.

3. Local validation and setup

   Curriculum, content, assessment, languages, hosting and operating responsibilities would be agreed and validated for the intended use.

4. Possible expansion after evaluation

   Any expansion depends on local evaluation, permissions, resources, infrastructure and further educational, technical and legal review.

From a school tutor to a lifelong mentor

We are developing an educational AI ecosystem for lifelong learning: 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 proposed aggregated use for education planning requires an agreed purpose, lawful processing and validation; guidance does not decide individual admissions.

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.