EN CN

Credit-Domain Modeling

Specialization in the financial field to increase efficiency

Apply for a trial

Credit-Domain Modeling—Nlp Natural Language Processing Model

Plowing into the business scenarios in the financial field, using machine learning, deep learning, NLP natural language processing technology, for multi-dimensional and multi-modal data for information extraction, intelligent text generation and other in-depth processing

Multilingualism
Algorithms In Finance
Efficient Co-Innovation
Intelligent Domain Applications

Credit-Domain Modeling—Risk Quantification Model

Taking the credit information of the whole market as the data raw material and big data, distributed machine learning and graph algorithms as the modeling engine, the company combines the knowledge of the financial field to gain real-time insight into the risk situation.

Corporate Composite Score

Corporate Composite Score Details

Trends In Corporate Composite Scores

Billion-Data Corpus
Algorithms In Finance
Risk Modeling Applications
Practical Experience In Finance

Credit-Domain Modeling—Attributional Analysis Model

Innovative fusion of feature model, graph model and sequence model algorithms to build a six-dimensional engine for enterprise features, which meets the requirements of financial institutions for feature tracing, risk attribution and other credit mining, and can be applied in many fields such as enterprise risk control, business opportunity discovery and innovation evaluation.
Six-Dimensional Engine
Fusion Algorithm
Multidirectional Application