Product
Full-stack AI platform for AI services
AI Operation Hub
WiseAIOps
AIOps platform supports all steps from data preprocessing, model development and learning, evaluation, monitoring, and deployment in one environment
Key Features
01
A flexible container-based platform
Leverage a Kubernetes-based container environment to efficiently manage CPU and GPU resources.
02
High-performance AI model development
Rapidly develop optimal AI models through automated machine learning pipelines and hyperparameter tuning.
03
Data asset management
Ensure transparent data lineage by enabling metadata search and tracking task histories.
04
Integrated data ingestion and processing
Collect data from diverse sources in real time and build a high-quality data lake through automated cleansing and filtering.
05
Automated deployment and operations
Eliminate the complexity of AI service operations by automating the entire process from model versioning and deployment to retraining through workflow-based automation.
06
Real-Time Dashboard
Monitor system resource status as well as AI model performance metrics such as accuracy and recall at a glance through an intuitive dashboard.
Discover optimal models without being constrained by data limitations
Broad data connectivity
Complete compatibility with HDFS, object storage, DBMSs, and real-time data streams
Intuitive data exploration
Data profiling and insight generation through tables and visualization tools
Proven algorithm library
Equipped with over 30 state-of-the-art open-source algorithms, including regression, classification, and deep learning
Unsupervised learning support
Perform in-depth data analysis using techniques such as clustering and PCA
Keep your models performing at their best
High-precision parameter optimization
Maximize performance through model tuning and hyperparameter optimization
Multi-model comparative analysis
Visually compare performance metrics across multiple trained models to intuitively identify the optimal model
Model performance evaluation
Assess model health and perform updates based on metrics such as accuracy and recall
Resource management and real-time monitoring
Allocate CPU and GPU resources on a per-user basis and monitor usage in real time across clusters, nodes, and individual resources
Bring all development stages together in a unified pipeline
Visualized pipeline design
Structure the entire training process as an intuitive flowchart
Intelligent data preprocessing
Reduce preparation time with system-level support for data preprocessing and feature engineering tailored to data characteristics
End-to-end integration
Unify everything from data input to model deployment within one seamless workflow
Continuous process operation
Ensure continuous model training and stable service delivery
Complete complex AI adoption on a single platform
WiseAIOps, driving innovation in the industrial field
Manufacturing & Quality
- Development of an autonomous learning system for manufacturing quality control
- Development of an AI model for automated sorting in non-timber forest products
- AI-based risk prediction model for imported food products
- Development of a vibration-based AI predictive maintenance system
- AI-based predictive maintenance and power efficiency optimization for escalators
- Development of a no-code, open-source AI analytics platform specialized for the manufacturing and robotics industries
Healthcare, Research & Education
- Development of an anomaly detection model based on fetal heart rate data
- Development of a diagnostic model for fetal and maternal health status
- AI-based data transformation generation technology
- Establishment of a toxicity prediction framework for new drug candidates using artificial intelligence
- Development of a predictive anomaly detection system for robotic equipment
- Development of an AI and machine learning platform for education and hands-on training
- Prediction model for academic performance using learning data analysis
Media & Distribution
- Development of an optimized inventory management system based on sales data
- Development of a sales forecasting model
- Development of a personalized product recommendation system
- Development of a customer behavior prediction and analytics system
- Development of keyword advertising inventory forecasting and recommendation features
- AI-based art price prediction
- Development of an AI-based trade OCR solution
Energy and Environment
- Development of an AI-based Smart Water Treatment Prediction Model
- Development of an ESS Fire Risk Prediction System
- Anomaly Detection and Predictive Maintenance for Key Equipment in Incineration Facilities
- Development of Core Technologies for AI-Based Operation and Maintenance of Gas and Oil Plants
- Development of an AI-Based Wastewater Treatment Automation System
Public · Administration
- Implementation of a Smart Traffic Signal Control System
- A Real-Time Data-Driven Prediction Model Based on Train Delay Information and Congestion Levels
- Development of an Analytical Model Utilizing Big Data
- Development of a Big Data Analytics Model for Transportation Usage by National Merit Recipients
- Enhancement of an Integrated Vehicle Information Retrieval System
- Development of an AI-Based Maritime Safety Information Service
- Development of a Machine Learning-Based Personalized Public Data Recommendation Service