Mon-Fri, 9:00-17:00 (Beijing Time, UTC+8)A millisecond-level intelligent risk control system for the auto finance industry, covering the full lifecycle from pre-, intra-, to post-loan. It integrates multi-dimensional models and multi-source data to build comprehensive risk profiles, and uses a real-time engine for rapid risk assessment and interception. With fast decisions, full coverage, and strong adaptability, it effectively reduces NPL rates while meeting strict regulatory requirements.
A full-chain intelligent risk control system for the auto finance industry, addressing hidden risks, complex factors, and stricter regulation. It integrates multi-dimensional models (credit, behavioral, fraud) with unified internal and external data to build holistic risk profiles, and supports model onboarding, strategy configuration, and real-time updates. Powered by a real-time engine, it delivers millisecond-level decisions for fast pre-loan approval, real-time intra-loan interception, and continuous post-loan monitoring—reducing NPL rates while enhancing risk control and compliance.

Auto finance lending involves many stakeholders and dispersed scenarios, with risks shaped by interwoven factors such as credit history, behavior, relationships, and industry conditions—making them concealed and complex. Traditional risk control is too simplistic and limited in scope, failing to fully detect fraud and credit risks, which leads to misjudgments and higher NPL rates.

In recent years, tightening regulations have raised standards for auto finance risk control, data use, AML, and reporting. Many institutions still rely on non-standard processes, incomplete data, and outdated controls, making compliance difficult and increasing the risk of regulatory scrutiny, penalties, or business restrictions.

Most institutions focus only on pre-loan approval, lacking an end-to-end framework across screening, monitoring, and post-loan management. Data silos and uncoordinated strategies delay risk alerts and response, hindering continuous oversight and leading to accumulating risks and higher resolution costs.

Multi-source data (credit reports, transactions, watchlists, alerts) remains fragmented, lacking integration and interoperability. Slow collection, cleansing, and analysis delay decisions, preventing real-time risk control and millisecond-level approvals or transaction interception, limiting efficiency and effectiveness.















Supports rapid integration of various risk control models and visual strategy configuration, eliminating the need for complex technical development and reducing redundant development efforts. This significantly shortens the time-to-market for strategies. Simultaneously, risk control rules can be adjusted swiftly, substantially lowering human and time costs associated with system iterations, enabling rapid implementation of risk control strategies and improving institutional risk control operational efficiency.

Leveraging flexible model integration and strategy configuration capabilities, it precisely adapts to diverse risk control requirements across automotive finance business scenarios—whether launching new credit products or expanding distribution channels—enabling rapid matching of corresponding risk control solutions to support institutional innovation and business expansion.

Enables rapid response to market risk fluctuations and regulatory policy updates, allowing timely adjustment of risk control strategies without complex technical modifications. Effectively mitigates issues related to policy lag and missed market risks, thereby enhancing the flexibility and timeliness of institutional risk control while ensuring continuous alignment with industry requirements and market realities.

With years serving Fortune 500 clients, we offer flexible solutions and integrated implementation.


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Xiaohongshu

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Douyin