Technology
YEJIN's AI technology is built on AI Orchestration and Multi-Brain cross-model validation: we go beyond connecting multiple AIs to compare, validate, and integrate them into high-confidence results.
YEJIN does not rely on any single AI model. We develop AI Orchestration technology that integrates and controls different AI models and data within one system and cross-validates the results of multiple AIs on a semantic basis.
By combining AI Orchestration, Multi-Brain, RAG knowledge retrieval, Multimodal, and AI Agent technologies, we deliver a scalable AI platform in which connection, retrieval, validation, and execution take place within a single architecture.
AI ORCHESTRATION
We integrate and control different LLMs and sLMs in one environment and select the right model based on query intent, domain, performance, speed, and cost. We apply an open architecture that supports asynchronous parallel processing, response standardization, and the addition or replacement of models.
An open, scalable architecture that avoids lock-in to any single AI provider
MULTI-BRAIN
Multiple AIs answer the same question independently, and their key facts, meaning, and logical consistency are compared to identify shared information and conflicts. Results are integrated according to a confidence score, structurally suppressing the errors and hallucinations of a single AI.
Not simply multiple responses, but a semantic Cross-Model Validation architecture
RAG
We vectorize documents and data, retrieve the information most relevant to the intent of a question, and combine it with the AI response. We connect internal knowledge and up-to-date data based on meaning and context rather than keywords.
Connecting RAG retrieval results to the Multi-Brain validation architecture to strengthen both accuracy and reliability
MULTI-MODAL
We analyze different data formats such as text, audio, images, PDFs, and tables, and process the relationships between modalities as a single, integrated body of information.
An integrated pipeline that connects every data format into the same AI processing flow
AI AGENT
We decompose a business goal into step-by-step tasks and sequentially call the required AI models, retrieval, and tools. We apply a modular execution architecture that supports role- and domain-specific personas and collaboration between agents.
A modular architecture that controls 120 specialized agents across 10 domains from a shared orchestration engine
Technology Difference
Model architecture
Typical Single AI — Centered on a specific model
YEJIN's AI Technology — Integration and control of heterogeneous AI models
Result generation
Typical Single AI — A single model generates on its own
YEJIN's AI Technology — Independent generation by multiple models and cross-model validation
Reliability assessment
Typical Single AI — Relies on the user's judgment
YEJIN's AI Technology — Quantitative analysis of semantic consistency and confidence
Data integration
Typical Single AI — Centered on public training data
YEJIN's AI Technology — Internal knowledge integration based on RAG and vector search
Scalability
Typical Single AI — Redevelopment burden when changing models
YEJIN's AI Technology — A modular architecture that allows adding and replacing models
Deployment
Typical Single AI — Centered on external cloud
YEJIN's AI Technology — Scalable across SaaS, On-Premises, and sLM
Technology Credentials
YEJIN does not stop at applying its core AI technology to services. Through patents, software copyrights, corporate certifications, and global technology programs, we accumulate it as proprietary technology assets.
We secure AI multi-model integration technology as domestic patents to protect our core technology.
View 3 original images
We have established a foundation of international IP for global technology commercialization.
We protect the core source code of our AI portal backend and multi-AI processing as proprietary technology assets.
View 2 original images
We demonstrate the ability to converge industrial data with AI technology and its applicability across industries.
The innovation and growth potential of our AI technology have been objectively recognized.
We operate a dedicated research organization for AI Orchestration, Multi-Brain, RAG, and On-Premises technologies.
We advance high-performance AI infrastructure built on GPU computing and model optimization technology.
We leverage Microsoft's cloud and AI ecosystem to strengthen technical scalability and our global foundation.
It is YEJIN's core technology in which multiple AI models answer the same question independently, and their results are compared and validated on a semantic basis to be integrated into a single high-confidence answer.
We vectorize documents and data to retrieve information highly relevant to a question, then combine it with the AI response to reflect internal knowledge and up-to-date data.
No. YEJIN applies an open architecture that integrates and controls heterogeneous LLMs and sLMs in one environment, so models can be added or replaced freely.
Our Multi-Brain architecture cross-validates the parallel reasoning results of up to 6 AI models on a semantic basis and integrates them according to a confidence score, structurally suppressing errors and hallucinations.
We hold technology assets including registered patents, software copyrights, and industrial intelligence certification. Details are available in the certifications and IP section at the bottom of this page.
Yes. In addition to SaaS, we support an On-Premises and sLM scalable architecture, so it can be applied by organizations where security is critical.
YEJIN does not simply supply AI features — we design AI models, data, the validation engine, and security infrastructure into a single technology architecture.