Artificial Intelligence
ML/DL-based predictive analytics, computer vision, NLP, and generative AI solutions. Companies that adopt AI achieve 7.8% higher value-added and 4% revenue growth compared to non-adopters.
AI Service Areas
We provide tailored AI solutions for business innovation.
Machine Learning
Machine LearningWe develop AI algorithms that analyze large-scale data to learn patterns and predict the future. We build models immediately applicable to manufacturing and logistics, including demand forecasting, quality prediction, and equipment failure prediction, while preventing business risks through customer churn analysis and anomaly detection.
Computer Vision
Computer VisionWe automate manufacturing quality inspections with deep learning-based image and video analysis. We perform product appearance inspection, micro-defect detection, and object recognition, with OCR technology for automated document and label reading. We detect defects that are difficult for the human eye to catch with over 99% accuracy.
Natural Language Processing
Natural Language ProcessingWe realize workflow automation with NLP technology that understands and analyzes text data. We provide automated document classification, customer VOC sentiment analysis, and intelligent chatbot services, while automatically summarizing large volumes of text to reduce decision-making time.
Generative AI / RAG
Generative AI & RAGWe build enterprise-customized AI assistants by combining LLMs like ChatGPT and Claude with RAG (Retrieval-Augmented Generation) technology. Based on internal documents, manuals, and regulations, we generate accurate responses, while dramatically boosting developer and employee productivity through automated code generation and document summarization.
AI Adoption Success Stories
Real-world cases where AI adoption has delivered tangible business results across diverse industries.
OLED Process Quality Prediction
Display Manufacturer
Automated manufacturing data analysis and management by introducing AI to the OLED process.
- Analysis time: 3 weeks to 2 days
- Annual savings of 200B KRW
- Defect rate reduced by 45%
Automated Product Appearance Inspection
Electronic Components Manufacturer
Automated product appearance inspection with deep learning-based computer vision.
- Inspection accuracy 99.2%
- Inspection time reduced by 80%
- Labor costs reduced by 60%
Enterprise Knowledge AI Assistant
Major Enterprise Group
Built a RAG system based on internal documents and manuals.
- Information search time reduced by 70%
- New hire onboarding reduced by 50%
- Inquiry automation 85%
End-to-End MLOps Platform
We build MLOps environments that manage the entire lifecycle of AI models from development to deployment and operations.
AI Trends
Vision AI is evolving into Physical AI capable of perception, reasoning, and action.
Autonomous Quality Inspection
AI autonomously learns defect patterns and detects new defects
Edge AI Deployment
Deploy AI models directly on field equipment for real-time processing
Multimodal Analysis
Integrated analysis of image, sensor, and text data
AI Agents
Autonomous AI systems that judge and act independently
Technology Stack
Leveraging proven AI/ML frameworks and platforms.
Considering AI adoption?
Our AI experts will propose solutions optimized for your company. From PoC (Proof of Concept) to full deployment, we partner with you through every step of AI adoption.