The First Visual LLM
Built for Education
Built for Education
THE AI MODEL helps you
achieve Concept
Mastery faster
achieve Concept
Mastery faster
01VISUALIZATIONVisualizing & InteractiveEnhancing engagement through multimodal interaction, with dynamic 3D visuals, animations, and diverse visual materials that bring learning to life.
02EXPLANATIONThink and Speak like the Best TeacherReproducing top teachers' way of thinking and speaking to provide clear explanations, intuitive guidance, and engaging interaction.
03PERSONALIZATIONUnderstand Students DeeplyContinuously analyzing each learner to grasp their real-time state and deliver personalized answers and solutions.
LLM
+
Students' and teachers' cognition is mapped into a Ontology
CHALK AI has been trained on over 100,000 lectures, problems, and solutions from world-renowned educators.
The process is ongoing, expanding every day.
HOW DOES IT
ALL WORK?
ALL WORK?
We develop task-specific AI Agents with educational
precision and real-time responsiveness, powered by a multi-agent system on an Ontology-based OS,
ensuring both educational sophistication and adaptive responses.
01STRUCTURE
Layer 01Data & Logic AcquisitionThis phase focuses on systematically acquiring essential educational data and formalizing the cognitive processes of domain experts.
Data
Collect educational data (e.g., lectures, quizzes) for content creation.Domain Logic
Capture expert decision-making to replicate in educational contexts.Layer 02OntologizationThis phase involves defining relationships among collected data and systematically connecting them to establish an interconnected data ecosystem.
Knowledge Graph
Organize concepts and relationships into a hierarchical structure.Purified Data
Convert raw data into a usable format with Knowledge Graph tags.Links
Connect data within the Data Hub for seamless interaction.Layer 03Agentic AI IntegrationThis phase focuses on designing and integrating AI agents capable of leveraging the ontology to deliver tailored solutions for diverse educational needs.
ConCreat Agent
AI that generates customized learning content.Tutoring Agent
Adaptive AI providing context-aware guidance.Learning Management Agent
AI that analyzes progress and offers recommendations.02CORE
Core 01 Cognitive Auto Extraction
Powered by CEE (Cognitive Extraction Engine)
01 Few-shot Extraction converts even small sets of lectures, problems, and solutions into structured knowledge.
02 Cognitive Layering breaks data into conceptual layers that reflect expert reasoning.
03 Ontology Expansion uses inference to continuously grow Ontologies with minimal data.
Core 02 ONTOLOGIZATION
Refining and connecting knowledge into a unified Brain Graph
01 Data Structuring organizing collected data into a Knowledge Graph with hierarchical relationships.
02 Algorithm Development converting raw inputs into clean, tagged Ontology-ready formats.
03 Model Development connecting concepts and datasets into an interconnected Brain Map.
Core 03 AGENTIC AI INTEGRATION
Bringing Ontology to life through intelligent AI agents
01 Analysis designing pipelines that replicate expert cognitive processes.
02 Pipeline Design building multimodal, context-aware agents (Tutoring Agent, Content Agent, Management Agent).
03 Ontology Binding ensuring agents operate seamlessly on top of Ontology for real-time, personalized guidance.
03APPLICATION
Application 01Visualizing Tutoring Chatbot Agent(US Patent Application No. 19/293,791)
Application 02ConCreat Agent in Content Creation System for
Teaching Materials Analysis(US Patent Application No. 19/295,168)
Application 03Learning Management Agent for AI Teacher Chatbot
Operation(US Patent Application No. 19/295,205)