Winny AI builds educational AI ready to support learners in Monaco

Five selected themes from the education law

Articles 37–⁠39 of Law No. 1.334 provide reference points for languages, culture and digital technology. These five selected themes inform possible Winny AI support; they are neither an exhaustive list of education goals nor a new strategy.

• Learning languages

  French and English explanations and guided practice can support language learning, following curricula and content validated with local education teams.

  Quote and source

  “two other languages”

  Law No. 1.334 on education, Article 37 — unofficial translation from French

• Sharing local heritage

  Local specialists can contribute content about Monaco’s language, history and culture, with educational validation and reuse rights. This is a process for developing educational content.

  Quote and source

  “Monegasque language”

  Law No. 1.334 on education, Article 38 — unofficial translation from French

• Understanding digital tools

  Guided questions and reviewing answers can support learning with digital tools and critical thinking, with teachers’ guidance.

  Quote and source

  “computing tools”

  Law No. 1.334 on education, Article 39 — unofficial translation from French

• Safeguarding learners

  Age-appropriate design, data safeguards and appropriate authorisation accompany the project. Teachers and responsible adults retain their roles; significant decisions remain human.

  Quote and source

  “protection of minors”

  Law No. 1.334 on education, Article 39 — unofficial translation from French

• Reflecting on responsibilities

  AI can support understanding and discussing locally validated content, encouraging learners to explain their reasoning and respect others. Teachers retain educational responsibility.

  Quote and source

  “moral and civic education”

  Law No. 1.334 on education, Article 39 — unofficial translation from French

Learning support to be defined with Monaco’s education teams Law No. 1.334 of 12 July 2007 on education, Articles 37–⁠39 — selected themes

A personal tutor for every learner. Explore the potential for a national project

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 conversational personal AI tutor for learning, with connected accounts for parents, teachers and schools. For primary school, lower secondary school (collège) and upper secondary school (lycée), the educational scope of a project is agreed with education teams.

For the learner

• Leads to understanding

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

• The country’s curriculum and textbooks

  For primary school, lower secondary school (collège) and upper secondary school (lycée), the project agrees curricula, textbooks, content and assessment requirements with education teams. Local adaptation and validation precede the intended use.

• 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.

  Explore

• Parent

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

  Explore

• Teacher

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

  Explore

• School and government

  Administration and aggregated insights for authorised teams, according to roles, access rights and project scope.

  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 behavior 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

Curricula, content, languages and deployment conditions are agreed with the country’s education partners.

• Curriculum and examinations

  For primary school, lower secondary school (collège) and upper secondary school (lycée), the project agrees curricula, textbooks, content and assessment requirements with education teams. Local adaptation and validation precede the intended use.

• Language and culture

  Winny AI Tutor can explain learning material in French and English among more than 90 languages. Explanation language and product interface language are distinct. Language choices, terminology, cultural content and accessibility are agreed with local education partners.

• Models

  National, international and open-weight models can be assessed for usage rights, quality in French and English and the project’s educational needs.

• Infrastructure

  Infrastructure, providers, processing locations and international transfers are chosen after review of educational, legal, child safeguarding and security requirements. Local hosting alone does not establish compliance.

• Transparency

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

From the first students to the whole country

Explore the possibilities of Winny AI Tutor, then define a Monaco project with us: educational objectives, content, languages, child safeguards and deployment conditions.

1. First students and families

   Explore Winny AI Tutor and its free core features. For supported use with children, define educational needs, authorisation and conditions appropriate to the project.

   Explore Winny AI Tutor

2. Project with schools

   A pilot with partner schools can measure educational effects, with an agreed protocol and independent evaluation.

3. National setup

   Curricula, assessment, languages, models and infrastructure are adapted and validated for the project.

4. Scaling to the whole country

   Expansion depends on results, educational agreements and legal and technical conditions.

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 learning, talent discovery and guidance; content and assessment adapted to the project with local education teams.

   Try Winny AI Tutor

3. Higher education 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

Advanced technology for discovering talents and choosing a career

The world and the job market are changing fast. From each learner’s own learning, Winny AI Tutor identifies their strengths, interests and talents in every subject and helps them choose a direction. With experts and universities we are adding labor market trends, new technologies and future professions — and, for families who want it, preparing neuroprofiling as an optional extra.

• Talents in every subject Working today

  The competency digital twin follows learning over the years and shows a learner’s strengths, gaps and inclinations in each subject.

• Career guidance Working today

  Recommendations on study paths based on the learner’s strengths and interests. They inform the learner’s and family’s own decision — they are not admission decisions.

• 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.

• Optional neuroprofiling Developing with partners

  With experts, we are preparing advanced talent diagnostics, including with neural interfaces. This optional family choice takes place outside lessons, with required authorisation, including applicable parental consent, review of sensitive data and human oversight. The service works without this option; it is not intended to infer emotions in school.

For education authorities: early discovery of talents and an aggregated forecast of how pupils are likely to choose fields — data for planning places and programmes in lycées, vocational pathways and higher education.

Winny AI · AI-Native Enterprise

A global EdTech company of a new kind

Winny AI builds AI solutions for personalized 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.