WE BETTER PROVIDE WITH EDUCATION ROADMAP WITH OVERWHELMING INTERACTION DATA

WE PROVIDE EDUCATION & DEVELOPMENT ROADMAP

Every month, 200,000 interaction data are generated and we have accumulated more than 2 million data.

DISCOVER THE PATH THAT REVEALS YOUR TALENTS

Our goal is to build an AI-based Total Business Solution system.

We use AI technology to track overall learning outcomes, including aptitude test results, academic performance, and other learning indicators, in order to help children develop their careers.

Transformer-based Diagnostic Test Enhancement Model

In this technology, we aim to utilize language model-based AI to reduce costs and enhance diagnostics.

Advanced Brainwave-based Testing Technology

We secure the respondent's agreement and response reliability by utilizing EEG and fMIRS data, which achieve high precision in terms of time and space.

Multi-modal data-based advanced testing model

This technology utilizes additional data such as facial expressions, posture, gestures, and voice to enhance the reliability and specificity of responses, which are collectively known as multi-modal data-based diagnostic model.

Sentiment Analysis Model

By leveraging non-textual data such as facial expressions, behaviors, gestures, voice, and spoken content acquired during lectures, we can identify the emotions expressed by children.

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We lead innovation in AI education with proven technical expertise.

  • A talent tech platform that performs career diagnosis and planning by learning and inferring changes in individual learning data based on lifelong learning and deep learning. A method for developing and analyzing AI-based psychological assessment questions. A method for developing, reviewing, and receiving feedback on GPT-based aptitude test questions. A method for sampling the aptitude test using a query-response network representing the respondent group based on BERT.

  • Using students' personal and academic data along with machine learning techniques to assign students to classes in schools.

    Optimizing classroom structure based on policy optimization to achieve maximum learning efficiency.

  • A deep neural network based on EEG measurement data to estimate the actual agreement and confidence level of respondents, as well as a self-reported personality or psychological test system based on questionnaires and answers.

    A large-scale language generation model-based system that allows users to identify their own personalities discovered through their participation in communication.