Onyul IT Division

Technology That Solves Real Problems

Onyul IT is not a technology team limited to a specific industry, but a technology organization that solves problems occurring across society and industry with AI, data, and vision technologies.

Medical AINLP / RAGComputer VisionMLOps
Approach

Our Approach

Problem → Technology

We approach with 'Problem → Technology', not 'Technology → Problem'. We accurately understand the problem and select the appropriate AI/data technology to implement solutions.

Core Technology Areas

01

Medical AI

Development of risk prediction and analysis models based on medical data. Hospital congestion/flow analysis, AI system research for safety and efficiency

02

NLP / RAG Knowledge Engine

Q&A systems based on policy/document data. Improving accessibility to administrative/public data, automatic document summarization and classification

03

Computer Vision

Video-based analysis, crowd/object recognition, spatial understanding modeling

04

Robotics / Autonomous Systems

Autonomous driving research using lidar and cameras. Path planning based on sensor fusion technology

05

Data & Platform Engineering

AI service implementation (MLOps), API/dashboard/data pipeline construction, SaaS architecture design

Projects

Key Projects

Healthcare AI Solutions

Medical safety risk prediction models, hospital crowd analysis

0.0

NightSAFE AUROC

Public / Regional AI Platform

Regional ingredient/product recommendation AI, public data analysis

0+

Partner Farms

0+

Recipes

Policy / Document AI

RAG-based policy document classification/summarization system

Autonomous Mobility

Autonomous smart mobility research

Our Strengths

Fast MVP Development

From idea to prototype quickly

Problem-Solving Focus

Solutions over technology

Real Experience

Multiple projects and competition awards

Multi-Domain Adaptability

Ability to utilize medical/public/regional data

Timeline

Track Record

Key achievements and awards of Onyul IT

GoldStartup

Station C Growth-Stage Program

Hallym growth-stage market-validation program — selected at Gold tier (₩27M grant)

View
Excellence AwardMedical AI

2nd H-iDEA Competition

NightSAFE — early-warning system for post-sedation hypotension & respiratory depression (Transformer, AUROC 0.997)

View
President's AwardHealthTech

2025 Capstone Design Competition

EromCare — integrated AI mental-healthcare platform (Multi-LLM orchestration, RAG)

View
ParticipatedRAG

2025 Promptathon

Chuncheon city AI assistant 'Chun-i' (local RAG, public-data API, live web search)

Participated3D Visualization

CURSOR Eurekathon

Directorium — 3D file explorer & PKM reader (Three.js, embeddings, UMAP)

View
ParticipatedFoodTech

Gangwon Food Fit

Seasonal-produce AI recipe commerce (crawling, GPT recipe recommendations)

View
ParticipatedAutonomous Driving

HALLYM SW WEEK SPIN-OFF (ASM)

Autonomous smart mobility — Level 4 self-driving research prototype (ROS2, LiDAR, SLAM, YOLO)

View
ParticipatedNLP

Hallym Univ. Digital Competition

AI-generated text detection (Korean BERT, CNN, BiLSTM ensemble)

ParticipatedComputer Vision

SCPC (Samsung Collegiate Programming Cup)

VQA optimization (CLIP fine-tuning, TTA, ensemble, temperature scaling)

ParticipatedMedical NLP

2025 SW Week Hallym AI Competition

Medical fact-checking prompt engineering (Kaggle, RAG tuning)

Partnership Inquiry

Technology collaboration and project inquiries