Zhiyin Intelligence Completes 100 Million Yuan Series A Funding Round Led by Source Code Capital to Accelerate AI Empowerment

源码资本·March 20, 2018·0·0

On March 20, 2018, Zhiyin Wisdom Data Technology Co., Ltd. (hereinafter referred to as "Zhiyin Wisdom"), a leading industrial-chain financial AI enabler and operator, held its Series A funding announcement and strategic upgrade launch event under the theme "Graphs for Insight, Knowledge for the Future." **The company officially announced the completion of a 100 million yuan Series A round. The round was led by Source Code Capital, with YuanYi Capital and Lingfeng Capital participating, and QinTong Capital serving as financial advisor.**

On March 20, 2018, Zhiyin Intelligence (知因智慧), a leading industrial-chain finance AI enabler and operator, held its Series A funding announcement and strategic upgrade event themed "Knowledge Graphs, Knowing the Future." The company officially announced the completion of a RMB 100 million Series A round, led by Source Code Capital with follow-on investments from YuanYi Capital and Lingfeng Capital. Qingtong Capital served as financial advisor.

This marked Zhiyin Intelligence's second funding round within twelve months. Capital markets possess sharp instincts and discerning judgment — regardless of broader macro conditions, companies that genuinely demonstrate innovative spirit, technological strength, and the ability to solve real customer problems will continue to earn market recognition and support.

Founded in April 2016, Zhiyin Intelligence's core team hails from IBM, the Chinese Academy of Sciences, and the Big Four consultancies — top-tier international tech firms and renowned research institutions. The company focuses on scenario-based applications of industrial-chain knowledge graphs in finance, cross-pollinating the rigorous DNA of academic research with the scientific methodologies of financial consulting and the commercial mindset of tech enterprises. From day one, it established its mission: "To leverage the power of AI + finance to advance China's industrial upgrading through integrated industry-finance development."

After two years of rapid growth, Zhiyin Intelligence gradually developed its 3K Platform — comprising the Knowledge Warehouse, Knowledge Evolution, and Knowledge Graph Analysis & Application Platform — as its core. Built on insights into industrial-chain financial relationships, this system covers scenario-based knowledge graph applications across critical financial functions including risk control and marketing.

1. Knowledge Graph Analysis & Application Platform leverages knowledge graph technology to conduct 360-degree comprehensive analysis and scenario-based applications for enterprise clients. This includes single and composite profiling from industry, sector, galaxy, and group dimensions, as well as relationship mapping, connection paths, composite heat maps, evolution tracking, and scenario simulation.

2. Knowledge Evolution Platform is a data-driven algorithm integration and visual modeling platform. Within KE, users can perform complete data analysis workflows including data loading, preprocessing, algorithm evaluation, and results visualization.

3. Knowledge Warehouse Platform serves as a unified platform encompassing the knowledge, processing logic, and standardized data model interfaces required for industry modeling, derived from data processing.

At the event, Zhiyin Intelligence founder & CEO Liang Ren delivered a speech titled "Starting from the Heart, Forging Ahead." He shared: "As one of the earliest and most core contributors to risk early-warning systems in China's banking sector, Zhiyin Intelligence's business direction traces back to the sensational 'Delong Group' risk incident a decade ago. After more than ten years of accumulation and refinement, we aim to build Zhiyin Intelligence into a new species of technology company — combining industry elites, AI scientists, and big data operations, merging knowledge evolution with financial scenarios."

Ren is a seasoned expert in knowledge graphs, machine learning, and financial risk. He previously served as professor at the Chinese Academy of Sciences, deputy director of its Big Data Laboratory, and master's thesis advisor. With nearly two decades of hands-on experience in data mining for customer risk management and integrated marketing, he helped establish financial risk control departments at Chinasoft and Yuxin Technology, serving as their head. During his tenure at IBM, as head of GBS Global Business Services' financial big data management solutions, he personally led the R&D management of various financial models and solutions. His academic research on China's credit risk has received high praise from industry, making him one of the few executives with genuine integration of industry, academic, and research experience.

The event also included an unveiling ceremony for the Zhiyin Intelligence AI Lab. Established in April 2016, the lab promotes the integration of big data and AI technology across industry, academia, and research. Leveraging technical resources from the University of Chinese Academy of Sciences' Big Data Analysis Technology Laboratory and led by senior experts in "industrial knowledge graphs and machine learning" research and application, it builds enterprise-level machine learning platforms. The lab focuses on exploring cutting-edge technologies in precision marketing, anti-fraud analysis, and risk model development, rapidly achieving results in financial business scenario models.

Over the past two years, the AI Lab has served as the technical backbone of Zhiyin Intelligence, earning broad client recognition. However, this recognition had largely remained within industry word-of-mouth, with limited external visibility. The unveiling and upgrade announced at this event should propel the Zhiyin Intelligence AI Lab to new heights.

The investors in this round shared a unified view: "In the previous wave of internet-finance integration, financial institutions significantly improved their operational capabilities and efficiency, while also gaining practical experience in data accumulation and application. Now, the rooting of AI technology in finance can further help these institutions understand their customers, unlock internal potential, break through business bottlenecks, and identify new growth vectors. What we value in Zhiyin Intelligence is the team's self-driven nature, its blend of industry-academia-research talent, and its macro vision and strategic thinking for the future. In just two years, Zhiyin Intelligence has already won validation from benchmark clients across the financial sector — multiple state-owned banks, joint-stock banks, listed commercial banks, and large internet finance groups. Its growth trajectory is impressive, and we have high expectations for what lies ahead."

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