Created for excellence.
Suitable for everyone.
An AI platform for learning that adapts to each user, analyzing gestures, facial expressions, and reactions in real-time
The system reads a student's gestures, expressions and speech and adjusts how it teaches. Sign language recognition is a separate track, not part of the first version.
π Sign language is a separate track, beyond the first version β’ π€ Machine vision β’ π― Real-time adaptation
βΏ Inclusive education β’ π Behavior analysis β’ π Continuous adaptation
Problem
of modern education
1.2 billion people with disabilities lack access to quality personalized education
Global Education Accessibility Statistics
Real numbers that show the scale of the problem
Sources: World Health Organization (WHO), UNESCO, World Bank, 2024
π― Key Problems
Uniform approach
Standardized programs do not account for individual student characteristics
Lack of time
Teachers do not have time to give attention to each student
Lack of accessibility
No adaptation for different communication and perception methods
π Statistics
Our Solution
AX-Architecture
Our innovative AI platform adapts to each user in real-time, analyzing gestures, facial expressions, and reactions to create truly personalized learning experiences
This is a mock-up of the future interface. The figures and scenarios on screen are illustrative, not measured results from a working system.
Perceive
Perception and Analysis
AI analyzes the student's response, learning style, previous results, and current lesson context
π‘ Example:
A student solves an algebra problem and makes a sign error
π§ Core Technology
Real-time Adaptation
AI continuously adjusts to user behavior and preferences
Computer Vision
Advanced gesture and facial expression recognition
Speech and prosody
Intonation and pace, not only the recognised words
βΏ Accessibility Features
Sign Language Support
A separate track: not part of the first version
Visual Adaptation
Interface adapts to visual preferences and needs
Audio Support
Text-to-speech and audio descriptions
π― What we are aiming for
Improved learning
What the pilot is there to test β not a measured result
Time efficiency
The goal we are working towards, stated as a goal
Global Accessibility
Inclusive education for everyone, regardless of abilities
Key Capabilities
The technologies the platform is built on. The product is working towards its first release: the list below is what we are building, not what already ships.
AX-Intelligence
Adaptive learning that understands each student's thinking style
in developmentInclusivity
Accessibility for everyone, regardless of developmental features
in developmentSocratic Spiral
Dialogical approach to learning through questions and reflections
in developmentExplainability
Transparency of AI decisions and explainability of each learning step
in developmentDigital Avatars
Voice interaction with AI teacher avatars through HeyGen API
in developmentVoice Interaction
Speech recognition and adaptation to the student's emotional state
in developmentAI Transparency
in Education
We are building explainable AI where every decision is clear and justified. Users have the right to know why the system suggests a particular approach.
Explainability
Every AI decision is accompanied by a clear explanation
Openness
Full access to data and algorithms for teachers
Feedback
Continuous improvement based on feedback
Responsibility
Ethical responsibility for every decision
Explainability Details
- β’π Transparent decision-making logic
- β’π― Explanation of factors influencing recommendations
- β’π Statistical data underlying conclusions
- β’π Alternative options the system considered
Example
βAI explains: "I recommend visual examples because analysis showed that 78% of students with similar profiles learn better through visualization."β
See Transparency in Action
Watch how our system explains its decisions in real-time during gesture recognition
For Teachers
and Educators
Discover how AI can enhance your teaching experience and help you provide personalized attention to every student
This is a mock-up of the future interface. The figures and scenarios on screen are illustrative, not measured results from a working system.
Lesson Planning
AI creates personalized lesson plans
Math Lesson, Grade 5
π€ AI Suggestion:
I suggest starting with visual examples, then moving to practical problems
What the system does in class
Notices when a student is lost
From expression, gestures and intonation β before they say so. Most never do.
Returns to what was missed
A topic left unabsorbed resurfaces in the next session instead of being lost between topics.
Asks to be taught in return
ProtΓ©gΓ© mode: the student becomes the explainer. Gaps show up there, not in the exam.
Adjusts the delivery
Profiles for autism, ADHD and dyslexia: what changes is the delivery, not the content.
What it does not do
It does not grade
Marking stays with you. You will not have to justify a grade an algorithm awarded.
It does not rewrite your course
It works inside your material and your order of topics.
It does not keep video
Processing happens on the participantβs device; streams are not retained after the session.
None of this works yet
The first version is about a month away. We describe what we are building, not what already ships.
Join the Pilot Programme
We are looking for university and college teachers willing to run a few sessions with the first version and tell us honestly what does not work.
Frequently asked
These are the questions that actually arrive by email. If an answer is missing here, it is because we do not have it yet β and we would rather say so than make one up.
Our Team
of Experts and Enthusiasts
A team of professionals united by a common goal β to make learning accessible regardless of how a person communicates
Tsarev Alexander
Project CEO
Project CEO
Kulikov Alexey
Founder and Lead Developer
Author of the CortexTutorAI project idea. Creator and developer of the AX-architecture. Responsible for technical implementation and product development.
Kislitsyna Anastasia
Co-founder and Education Expert
Co-author of the project idea. Lecturer at the Department of Advertising and PR at St. Petersburg State University of Industrial Technologies and Design. Expert in educational technologies and pedagogy.
Join Our Team
We're always looking for talented professionals who share our vision of making education accessible through AI technology.
Contact UsLet's Talk
about Working Together
Ready to be part of the future of education? Email us β we are happy to discuss collaboration, investment, or participation in the project
Contact Us
info@synapster.ru
Website
cortextutor.ru
Location
St. Petersburg, Russia
Who We Create Opportunities For
Email us
We have no contact form: we do not collect personal data through this website. Just write to us and briefly say who you are and what you are interested in β that is enough to start the conversation.
info@synapster.ruWhat Happens After Your Email?
Quick Response
We read and answer every email personally
Personal Meeting
We will discuss details and collaboration opportunities
Documentation
We will provide necessary materials and documents
Join the Development
of Future Education
We are looking for pilot partners to test the first version of MVP. Your experience and feedback will help us get the first version working
π Become One of the First Testers
π― Ideal Tester
Teachers
3+ years of experience, openness to innovation
Students
Active EdTech users, willingness to provide feedback
Participation Time
2-3 hours per week for testing and feedback
π Your Benefits
Free Access
To the platform for 6 months after release
Direct Team Contact
Your ideas directly influence development
Participant Certificate
Official recognition of your contribution
π How Selection Works
Fill out the form
Short interview
Participation confirmation
* We select only the most motivated and suitable candidates