Key Business Areas
TableAI provides diverse solutions that support customer business growth through data and AI technologies.
Real-time Data Platform Construction and Operation
We design and build stable, scalable pipelines for large-scale data collection, processing, and storage. With zero data loss, we provide optimized solutions for diverse requirements, from real-time data streaming to batch processing.
Tech Stack
Key Services
- Real-time Data Processing
- ETL Pipeline Construction
- Data Lake and Lakehouse Construction
- Data Quality Management
Case Studies
Woori Bank - Real-time Customer Data Platform Construction
Starbucks - Real-time Customer Marketing Platform Construction and Operation
Lotte Card - Real-time Customer Data Platform Operation
Large Enterprise S Company - Real-time Customer Data Platform Construction
AWS-based Data Lake & Lakehouse Construction and Operation
As an AWS partner, we professionally support cloud infrastructure construction. We build scalable and stable infrastructure on major cloud platforms including AWS, GCP, and Azure. We design architectures that simultaneously consider cost optimization and Spark performance improvement for big data processing.
Tech Stack
Key Services
- Cloud Migration
- Infrastructure Automation
- Cost Optimization
- Security Enhancement
Case Studies
Hanjin Express - AWS 50 Billion Data Pipeline Processing within 3 Hours
Korean Air - AWS Cloud Data Warehouse Operation
Hyundai Card - Big Data Platform Performance Tuning - 40% Performance Improvement
MLOps Implementation
We build MLOps systems that manage the entire lifecycle, from advanced analytics services based on ML / DL (anomaly detection, customer churn, fraud detection, etc.) for domain-specific data application, to AI platform operation services in Kubernetes environments. We provide these services.
Tech Stack
Key Services
- RAG / MCP / Agent Implementation
- Model Deployment Automation
- Model Monitoring
- AI Platform Operation Services in Kubernetes Environments
Case Studies
Technical Support for LG CNS ML/DL MLOps for 30+ Clients
LLMOps Implementation
We professionally provide RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and Multi-Agent system implementation to apply generative AI to enterprise data. We build LLMOps platforms that manage the entire lifecycle, from operation and monitoring to optimization of large language models.
Tech Stack
Key Services
- RAG System Implementation
- MCP-based Context Management
- Multi-Agent System Implementation
- LLM Monitoring and Optimization
Case Studies
LGCNS and LG Electronics Internal Project - RAG / MCP / Multi-Agent Implementation