The AI tutor opens the new world of education by
analyzing, predicting, recommending
to maximize education efficiency using real-time AI algorithms.
1:1 personalized
education by AI
santA.Inside has developed the algorithm to recommend optimized learning paths based on user response data. Now, personalized education becomes feasible with AI technologies.
Uploading your education contents is all to do.
The santA.Inisde technology will do the rest for you.
Check out what becomes possible with santA.Inside.
Real Time User Analysis
User Response Prediction
Optimized Learning Path Recommendation
Learning Management System
The santA.Inside LMS provides great comfort for lecturers to manage education processes. All santA.Inside AI features can be seamlessly implemented in the LMS. The main AI features are generating personalized problem sets for efficient diagnosis and assigning classes based on response data.
Diagnosis Test
Set optimized goals and design curriculums based on accurate diagnosis. SantaTOEIC diagnoses the user TOEIC score in 6 problems using dynamic diagnosis technologies based on IRT and Baysian optimization.
Lecture recommendation
The lecture search interface with recommending algorithms provides better user experiences by suggesting the most useful lectures to the users. The most useful lectures are recommended by analyzing user-item response data and lecture consumption data.
Visual Analytics
The VA of santA.Inside visualizes advanced analytics of user education data. Various metrics for education including user strength and weakness analytics are visualized. Also, prescriptive analytics such as the optimal learning path is recommended.
Learning Management System
The santA.Inside LMS provides great comfort for lecturers to manage education processes. All santA.Inside AI features can be seamlessly implemented in the LMS. The main AI features are generating personalized problem sets for efficient diagnosis and assigning classes based on response data.
Diagnosis Test
Set optimized goals and design curriculums based on accurate diagnosis. SantaTOEIC diagnoses the user TOEIC score in 6 problems using dynamic diagnosis technologies based on IRT and Baysian optimization.
Lecture recommendation
The lecture search interface with recommending algorithms provides better user experiences by suggesting the most useful lectures to the users. The most useful lectures are recommended by analyzing user-item response data and lecture consumption data.
Visual Analytics
The VA of santA.Inside visualizes advanced analytics of user education data. Various metrics for education including user strength and weakness analytics are visualized. Also, prescriptive analytics such as the optimal learning path is recommended.
Learning Management System
The santA.Inside LMS provides great comfort for lecturers to manage education processes. All santA.Inside AI features can be seamlessly implemented in the LMS. The main AI features are generating personalized problem sets for efficient diagnosis and assigning classes based on response data.
“I want to build a service similar to SantaTOEIC using SAT, HSK contents.”
“Can I diagnose new students accurately and more efficiently?”
“Is there a way to manage
student learning progresses
efficiently?”
“The algorithm of santA.Inside can predict the dynamically changing future of users my machine learning and deep learning algorithms.”
Jaewe Heo | Riiid! Delvelopment Leader
“The best aspect of Riiids technology is its coverage. The same technologies can be applied to any multiple-choice exams such as SAT, GRE and HSK.”
ChangHo Suh │ Professor of KAIST, school of Electrical Engineering
“Riiids AI technologyaccuratly analyzes the suer-item response data to predict the correctness and even expected responses.”
Kwangwook Lee │ Professor of KAIST, Information and Electronics Research Institute
“The algorithm of santA.Inside can predict the dynamically changing future of users my machine learning and deep learning algorithms.”
Jaewe Heo | Riiid! Delvelopment Leader
“The best aspect of Riiids technology is its coverage. The same technologies can be applied to any multiple-choice exams such as SAT, GRE and HSK.”
ChangHo Suh │ Professor of KAIST, school of Electrical Engineering
“Riiids AI technologyaccuratly analyzes the suer-item response data to predict the correctness and even expected responses.”
Kwangwook Lee │ Professor of KAIST, Information and Electronics Research Institute
“The algorithm of santA.Inside can predict the dynamically changing future of users my machine learning and deep learning algorithms.”
Jaewe Heo | Riiid! Delvelopment Leader
CEO Young-Jun Jang | 10th floor M-Tower Teheranro 87 Gang-namgu Seoul | Company Registration Number 106-87-06394 | Phone 02-795-1221 | Inquiries biz@riiid.co | © 2019 Riiid! Inc. All rights reserved.
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