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JingleWill (Beijing) Technology Co., Ltd. is a fintech enterprise focusing on overseas markets. With big data, cloud computing, and artificial intelligence as its core technologies, the company builds intelligent risk control and credit service infrastructure, providing convenient, secure, and user-friendly inclusive financial services to users in emerging markets worldwide.
Since its establishment in 2020, JingleWill has continuously expanded its global business, establishing a solid foundation for growth in multiple emerging markets.
The company adheres to a long-term perspective, establishing robust operational systems and local cooperation networks in key markets. JingleWill has teams in Beijing, Chengdu, Hong Kong, and multiple overseas cities. We value professional accumulation and cultural exchange, committed to providing employees with an open and collaborative growth environment.

Intelligent Risk Control and Digital Service Infrastructure
Our technology is quietly driving change:
JingleWill's self-developed cloud platform integrates big data, machine learning, and intelligent algorithms. It supports multi-language and full-process business management, providing a high-availability, scalable digital operation system for global financial institutions.
Based on multi-modal data, the platform integrates risk control modeling, customer insights, and automated operation modules, supporting model-level decision optimization and intelligent task orchestration.

Combining generative algorithms with a real-time bidding optimization system, it covers mainstream media and advertising channels, providing efficient and traceable international marketing solutions.
Based on deep learning models to understand semantic features like country, device, and interests, achieving intelligent layered targeting and dynamic budget allocation to improve conversion efficiency.
Through generative AI and automated testing systems, from content conception to material generation and channel distribution, it forms a self-learning creative optimization loop.

Integrating big data analysis, graph networks, and reinforcement learning algorithms, it builds an adaptive risk identification system, providing real-time protection for business security and compliance.
Based on behavioral modeling and anomaly detection models, it continuously identifies potential risk events and generates readable analysis reports through an intelligent interpretation module, enhancing risk control transparency.
Integrating multi-source data and machine learning models, it dynamically optimizes policy parameters, providing stable and interpretable intelligent decision support for global business.
