Winny AI builds educational AI ready to help learners in Guinea

Education goals Guinea has set for itself

ProDEG 2020–⁠2029 connects diversified basic education, skills for the economy, adult literacy, learning quality and education governance. A ministerial sector review in July 2026 continued to use this framework. These five excerpts select themes from its five objectives; planning targets are not presented as achieved results.

• Opportunities to learn

  A personal learning path and guided explanations can support primary and secondary learning. Local partners agree curriculum, language, accessibility and access requirements.

  Quote and source

  “diversified basic education”

  ProDEG 2020–⁠2029, p. 25 — excerpt translated from French

• Exploring skills and study paths

  Guided practice and talent discovery help learners explore strengths and fields of study. Career guidance supports informed choices; it does not guarantee a job or qualification.

  Quote and source

  “the needs of the economy”

  ProDEG 2020–⁠2029, p. 28 — excerpt translated from French

• Learning throughout life

  The school tutor works today. The roadmap extends towards lifelong learning and upskilling with partners; no deployed adult-literacy programme in Guinea is claimed.

  Quote and source

  “adult literacy”

  ProDEG 2020–⁠2029, p. 30 — excerpt translated from French

• Understanding and progress

  Guided questions and practice help learners check understanding. Teachers provide the educational context and retain responsibility for assessment.

  Quote and source

  “the quality of learning”

  ProDEG 2020–⁠2029, p. 31 — excerpt translated from French

• Education decisions

  Aggregated learning insights can help schools discuss learning gaps by topic and subject, under agreed access and data permissions. Education decisions remain with the responsible teams.

  Quote and source

  “system governance”

  ProDEG 2020–⁠2029, p. 32 — excerpt translated from French

A historical reference: about 2.1 million primary learners in 2020 UNESCO UIS via World Bank Open Data — primary enrolment, 2020, latest populated value in the checked 2020–⁠2025 series; no secondary value available in that series; not a current total or Winny users

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 popular 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

  Curriculum and textbook adaptation is planned with local education partners, using the relevant national curriculum and the school’s learning context. Content, terminology and assessment requirements are agreed for the institution’s learners.

• 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.

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• Parent

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

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• Teacher

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

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• School and government

  Administration, aggregated insights across schools and the whole system, and deployment within the country.

  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

Winny AI Tutor adapts to the country — not the other way around.

• Curriculum and assessments

  Adaptation to the relevant national curriculum and the school’s learning context, textbooks and assessment requirements: primary and secondary education, with guided practice appropriate to the institution and stage of learning.

• Language and culture

  Explanations in French, Arabic and English, among more than 90 supported languages, with cultural adaptation. The language of tutoring is separate from the language of the product interface.

• Models

  National, regional and open-weight models can be selected and fine-tuned with the relevant permissions for the country’s educational content.

• Infrastructure

  Infrastructure, access and any international data transfers are assessed against the applicable requirements for the planned deployment.

• Transparency

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

From the first learners to the whole country

You can start today: learners and schools in more than 80 countries already work with Winny AI Tutor, and everything needed to begin is ready. The country decides the scale and the pace.

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. Pilot project

   A pilot in a group of schools, with independent impact evaluation by an academic partner.

3. National setup

   Curriculum and assessments, language, models, deployment in the country.

4. Scaling to the whole country

   Support and development of the product for the country’s education system.

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: 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.

For the Ministry of Education: early discovery of talents and a forecast of how graduates are likely to choose fields — data for planning places and programmes in vocational and higher education.

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.