AI-powered chatbots harness natural language understanding (NLU) and machine learning to deliver a smart, human-like conversational service. AI textual analysis can further extract and transform massive data into valuable information, improving enterprise operational efficiency and productivity.


Intuitive interface and AI retraining mechanism to improve confidence score for optimal model training results

Professional data labeling and analysis to improve the quality of massive data processing

Implementation, internal & external system integration, connection and function building to meet diverse needs

One-click model training without coding skills for fast excerpt generation and reply templates



An exclusive AI evolution system extracting insights from old and new data, available for data retention and a knowledge base

Simplify workflows, reduce human errors and 80% of paperwork for better operational efficiency

Flexible adjustment for one-stop creation and management of AI text comparison according to different scenarios

AI Customer Inquiry

AI Smart Underwriting

AI Smart Claims

AI Legal Text Comparison

AI Quality Inspection
Built two AI screening models of "Archive Destruction Catalog" and "Document Index & Retention Period Table" through textual analysis for annotation and statistics, with integration of approval and review results from document management system.
Created a smart reply model to analyze citizen complaint emails and generate reply templates to reduce human labor with improved efficiency.
Leveraged NLU to analyze diagnosis certificates and documents to strengthen insurance claims settlement system and reduce human labor for better efficiency; model accuracy is constantly optimized through the evolution system to deliver the best claims payment calculation results.