Credit Risk Control
Powered by massive unstructured data assets and cutting-edge AI mining technologies, we provide comprehensive risk control solutions covering the entire credit lifecycle. Our multi-modal data processing, machine learning-based dynamic modeling, and intelligent compliance adaptation engines deliver over 60% improvement in risk identification accuracy and over 80% increase in approval efficiency, while fully meeting global regulatory requirements - driving secure and high-growth credit business operations.
Pre-loan Qualification
Leveraging our foundational massive data assets, we employ AI-powered graph analysis to track cross-platform credit behaviors in real-time, penetrate multi-dimensional debt networks, and accurately identify high-risk clients through dynamic risk modeling—effectively reducing cross-default risks.
In-loan Monitoring
Through real-time dynamic monitoring of customer credit needs, the system achieves risk response within seconds and cross-verification interception. It further enables in-depth customer value mining, automatically matches multiple products to customer demands, and drives differentiated pricing strategies with intelligent credit limit adjustments. This establishes a data-driven, multi-dimensional balance between risk prevention and revenue growth, simultaneously enhancing asset quality and management granularity.

Post-loan Management
The post-loan risk control system integrates repayment behaviors, multi-platform debt obligations, outstanding liabilities, and delinquency fluctuation data in real time. Utilizing a multi-dimensional cross-validation engine, it intelligently predicts risk levels and alerts financial institutions to timely intervene in post-loan risk management, effectively reducing bad debt rates.
Scoring Product
A machine learning-powered risk scoring solution tailored for financial institutions, combining big data with an advanced risk data tagging system.
Risk Score
The score ranges from 0 to 1000, with higher scores indicating a lower probability of default.
Customer Rating
Based on customers’ historical borrowing behavior, all customers are classified into six levels, with each level corresponding to a recommended credit limit.
Credit Data Service
Uses verified credit and tax data with cross-validation technology to assess repayment ability, enhance income verification, and detect hidden debt risks.
Credit Report
Powered by comprehensive credit bureau data, this report drives automation in the loan approval process and helps financial institutions improve credit decision efficiency.
Tax Information
Verifies income authenticity using official tax data and assesses identity, income, and job stability through cross-validation.
Social Network Service
Real-time verification of social profiles using privacy computing, assessing social activity risks and identifying disguised identities.
Social Media Detection
Detects whether a customer’s authorized phone number is registered on major social media platforms.
Active Number Detection
Determines whether a customer’s authorized phone number is an actively used number.
Facebook Detection
Detects in real time whether a customer’s authorized phone number is registered with a Facebook account.