Bangsun Technology

Bangsun Technology

Real-time financial risk management company based in Hangzhou.

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More about Bangsun Technology
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Bangsun Technology, legally known as Zhejiang Bangsun Technology Co., Ltd., is a software developer specializing in big data real-time intelligent processing platforms. The company was founded in 2010 in Hangzhou, China, by Professor Chen Chun, an academician of the Chinese Academy of Engineering, and his doctoral student, Wang Xinyu, who now serves as the CEO. The founding was a direct result of their experience with Zhejiang University's industry-academia-research initiatives, particularly a collaboration with State Street, which highlighted the reliance of Chinese financial institutions on foreign core software and hardware. This experience fueled their ambition to develop a sovereign core basic software, leading to the creation of Bangsun Technology.

The company's primary business revolves around the development and sale of big data foundation software and providing related application solutions and technical services. Its business model includes selling platform components of its big data real-time intelligent platform, offering application products by integrating the platform with industry-specific needs, and providing technical services like development, risk comparison, and maintenance. The main market served is the smart finance sector, which consistently accounted for over 94% of sales revenue from 2020 to 2022, with a smaller portion coming from the network security field. Clients are primarily large and medium-sized enterprises, including nearly 100 commercial banks, securities firms like Guotai Junan Securities, and insurance companies such as New China Insurance.

Bangsun Technology's flagship product is the proprietary real-time big data processing engine known as "Liulifang" (Stream-Cube). This platform addresses the challenge of processing massive data volumes with high concurrency and low latency, enabling real-time analysis of fresh data in conjunction with historical data. The platform boasts a cluster throughput capacity of up to 3 million transactions per second with an average delay of less than one millisecond. Built upon this core technology, the company has developed a suite of products for various applications, including real-time transaction anti-fraud, credit risk monitoring, anti-money laundering, and intelligent case prevention systems. These solutions are designed to shift risk control from post-event analysis to real-time, in-event intervention, a critical capability in the financial sector. The company has also developed other platforms like "Tulifang" for real-time graph index storage and calculation, and "PipeACE" for real-time data processing, further enhancing its data governance and intelligent decision-making capabilities.

Keywords: big data, real-time intelligence, financial risk management, anti-fraud, stream processing, financial software, RegTech, smart finance, real-time analytics, Chen Chun, Wang Xinyu, Liulifang, Stream-Cube, big data platform, transaction monitoring, credit risk, anti-money laundering, network security solutions, data governance, intelligent decision engine

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