RIVIERE YUAN EDTECH

Rivière Yuan EdTech

#EdTech #AIforTeacher #LanguageTeaching #Chinese #French

about us :

Rivière Yuan, a Lyon-based EdTech company, is dedicated to harnessing state-of-the-art technology to empower educators.
Founded in 2022 within emlyon incubator, and a laureate of the 2023 Paris Cergy University EdTech Lab, we have gained recognition including the 2023 innovation prize of Comité France-Chine MEDEF, awarded by the French Ambassador to China during the CIIE.

Our inaugural product, designed for Mandarin learning, aims to build a model specifically optimized for the 450 million French-speaking population.

We have garnered strong support from the French educational community, collaborating with teachers, inspectors, school leaders, and policymakers, which ensures that our solution is tailored to educators’ needs and adheres fully to ethical guidelines.

Moreover, we have successfully established a robust network of partnerships both in France and China in language didactics and AI technology.

Haiyi Tech is the key technology partner. Founded in 2015, it has helped 65+ organizations, including Fortune 500, to achieve digital transformation.

Haiyi Tech has leveraged China’s rich internet experience to provide high-quality digital solutions, especially in AI applications such as intelligent placement and customer group prediction.

With the rise of LLM, it has established a knowledge-based architecture and is now exploring application scenarios in education and beyond.

We offer a comprehensive solution designed to support teachers throughout the entire pedagogical process: from preparing course content, to invigorating classroom interactions, to managing homework, all enhanced by in-depth user data analysis.

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We assist teachers in building adaptive pedagogical sequences efficiently by offering:
-standardized lexical and grammatical resources
-toolbox for creating personalized content, such as articles and chatbots
-exercise generator with auto-evaluation

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The potency of generative transformers, enhanced by the continuous self-improvement of contextualization, offers a promising outlook for language learning. We are confident in its potential in various educational application scenarios and beyond.