Technology
What makes YEJIN's AI technology different?
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.
- Integration and control of heterogeneous AI models
- Parallel cross-model validation across up to 6 AIs
- Hallucination-suppression accuracy of 95% or higher
- 120 specialized AI agents across 10 domains
- SaaS, On-Premises, and sLM scalable architecture
AI ORCHESTRATION
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.
- Integration of heterogeneous LLMs and sLMs
- Purpose-based model routing
- Asynchronous, parallel processing across multiple models
- Standardization of response data per model
- Flexible addition and replacement of new AI models
An open, scalable architecture that avoids lock-in to any single AI provider
MULTI-BRAIN
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.
- Parallel reasoning across up to 6 AI models
- Semantic comparison of responses
- Analysis of information consistency and logical contradictions
- Confidence-score-based integration of results
- Hallucination-suppression accuracy of 95% or higher
Not simply multiple responses, but a semantic Cross-Model Validation architecture
RAG
RAG Knowledge Retrieval
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.
- Document preprocessing and knowledge-unit segmentation
- Vector embedding-based semantic search
- Analysis of question intent and context
- Combination of retrieval results with generative AI
- Integration with internal knowledge bases
Connecting RAG retrieval results to the Multi-Brain validation architecture to strengthen both accuracy and reliability
MULTI-MODAL
Multimodal
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.
- Integrated input of text, images, audio, and documents
- Preprocessing by data format
- Analysis of document structure and visual information
- Semantic linking across modalities
- Structuring and standardization of analysis results
An integrated pipeline that connects every data format into the same AI processing flow
AI AGENT
AI Agent Orchestration
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.
- Purpose-based task decomposition
- Role- and domain-specific AI personas
- Control of model, retrieval, and tool calls
- Collaboration and result handoff between agents
- Review of intermediate results and integration of the final result
A modular architecture that controls 120 specialized agents across 10 domains from a shared orchestration engine
Technology Difference
How Is It Different from Single-AI Technology?
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
We develop, secure the rights to, and objectively prove our technology
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.
Patent registration and applications
We secure AI multi-model integration technology as domestic patents to protect our core technology.
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PCT international patent application
We have established a foundation of international IP for global technology commercialization.
Software copyright
We protect the core source code of our AI portal backend and multi-AI processing as proprietary technology assets.
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Industrial intelligence certification
We demonstrate the ability to converge industrial data with AI technology and its applicability across industries.
Innovation-Growth Venture Company
The innovation and growth potential of our AI technology have been objectively recognized.
Corporate R&D center
We operate a dedicated research organization for AI Orchestration, Multi-Brain, RAG, and On-Premises technologies.
NVIDIA Inception Program
We advance high-performance AI infrastructure built on GPU computing and model optimization technology.
Microsoft for Startups Founders Hub second approval
We leverage Microsoft's cloud and AI ecosystem to strengthen technical scalability and our global foundation.
Frequently Asked Questions
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.
We design your enterprise AI transformation with verifiable technology
YEJIN does not simply supply AI features — we design AI models, data, the validation engine, and security infrastructure into a single technology architecture.