Human-Centered AI Technology
Human-Centered AI.
Reliable by Design.
YEJIN builds practical, secure, and trustworthy AI solutions powered by AI orchestration and Multi-Brain cross-model validation—helping businesses make better decisions, streamline operations, and turn complex data into actionable insights.
Technology should serve people.
More AI, but harder to use
Choosing the right AI is hard.
New generative AI models appear constantly, but you can't test which one answers best for every question.
A single AI's output isn't enough for important decisions.
It's hard to trust generative AI answers without supporting evidence and verification.
Enterprise data can't simply be handed to external AI services.
Enterprises must also weigh security, data integration, and operational reliability.
ZeliAi
An AI orchestration platform that
connects and directs multiple AI models
ZeliAi connects diverse AI models, data, and specialized agents in a single environment, and provides the most suitable way to use AI for each purpose.
01
AI Unified Search
Analyzes the context of the web and connected data to find information close to the user's intent.
02
AI Aggregator
Use diverse AI models together through a single account and interface.
03
AI Multi-Brain
Compares and analyzes results from multiple AI models to reduce dependence on a single model and improve the reliability of information.
04
AI Agent
Specialized AI designed for each field's tasks supports everything from information search to task execution.
Multibrain
One Question, Cross-Model Validation by Multiple AI
See for yourself how multiple AI answer the same question at once, and how those results are cross-validated and synthesized into a single, high-confidence answer.
Query entered
Give me this quarter's industry trends
Query Input
The user enters a single question.
- 1. Query Input
- 2. Intent Analysis
- 3. Parallel AI Inference
- 4. Result Routing
- 5. Cross-Model Validation
- 6. Synthesized Result
Hallucination mitigation · 95%+ accuracy
Models A–F are illustrative examples and do not refer to specific commercial AI products.
Technology
Connecting AI.
Engineering Trust.
STEP 1 / 8
User Query
Enter the question or task you want to solve.
You can find the detailed architecture of each technology on the Technology page.
Solutions
We propose an AI adoption approach
that fits your organization's environment
From cloud to fully air-gapped, we design the adoption approach to match your organization's security requirements and infrastructure.
Enterprise AI Solution
Internal knowledge and business systems are scattered.
Learn MoreApplied Technology
RAG, workflow agents, ERP/CRM/groupware integration
Expected Outcomes
Supports internal knowledge retrieval and workflow automation in a single environment.
Public Institution AI Solution
You must meet security, accessibility, and public data usage standards together.
Learn MoreApplied Technology
Accessibility-focused UI, public data integration, secure deployment
Expected Outcomes
Builds digitally inclusive AI suited to the institution's service environment.
On-Premises · Private AI
It is difficult to send sensitive data to an external cloud.
Learn MoreApplied Technology
Internal-network AI server, access control, local RAG, lightweight models
Expected Outcomes
Use AI while retaining control over your enterprise's internal data.
What Changes with YEJIN
Shorter information search time
Search information scattered across many documents and systems with a single query.
Automation of repetitive work
AI handles repetitive tasks such as summarizing documents and drafting content.
Support for comparing results from multiple AI models
Compare and cross-validate answers from multiple AI models for a single question.
Stronger enterprise data security
On-premises and air-gapped deployments keep sensitive data from being exposed externally.
Actual outcomes vary by project scope, deployment environment, and data conditions.
Why YEJIN
An open architecture with no lock-in to any single model or vendor—supporting you from validation through operations.
An open architecture that is not locked into a specific model
We select and connect diverse commercial and open-source AI models according to the customer's purpose and environment.
Designed beyond answer generation to include a validation structure
Through RAG and Multi-Brain cross-model validation, we review the evidence and consistency of results together.
Execution that connects SaaS and enterprise deployment experience
Based on our experience operating our own AI platform, we design AI solutions suited to enterprise environments.
Secure deployment and data sovereignty
We build for cloud, hybrid, on-premises, and other setups to meet the customer's security needs.
Consistent execution from planning to operations
We provide strategy planning, UX, development, infrastructure, and operational enhancement as one integrated system.
R&D · Certification
19 Completed
19 patents, trademarks, and certifications secured · 3 in progress
View R&D and Certifications
In 2026, ZeliAi was selected for the NVIDIA Inception Program.
Official Certificates
Registered Patent
No. 10-2951428
Industrial Intelligence Certification
KORAIA-CC-2604002
Venture Business Certification
Innovation-Growth Type
Copyright Registration 1
Backend Code 1
Copyright Registration 2
Backend Code 2
Frequently Asked Questions
ZeliAi does not rely on a single AI model. It has a Multi-Brain structure that compares and cross-validates answers from multiple AI models. Compared with a single-model service, you can confirm the evidence and reliability of results together.
Yes. Through RAG-based knowledge retrieval, you can integrate internal documents and data. The scope and method of integration are designed through consultation according to the data format and security policy.
Yes. With On-Premises and lightweight model (sLM) deployment, AI can be adopted even in fully air-gapped environments.
We build in stages depending on the project scope and the level of data integration. We provide an exact timeline after a preliminary assessment.
Yes. We support API integration with existing business systems such as ERP, CRM, and groupware, and we confirm feasibility in advance according to the system environment.
Costs vary by project scope, level of data integration, and deployment method (cloud or on-premises). After identifying requirements through consultation, we provide a quote.
Yes. You can first confirm the impact with a small-scale PoC (proof of concept) and then expand into the full project.
Yes. We support operational monitoring and maintenance after deployment. The scope of support may vary depending on the contract terms.
Go beyond adopting AI—design a trusted AI environment.
ZeliAi is free to use right now, and for enterprise and public-sector adoption, our consultants support you from assessment through deployment and operations.