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【投融资动态】数巅科技Pre-A轮融资,融资额数亿人民币,投资方为济和创投、赛富投资基金等
Sou Hu Cai Jing· 2025-10-29 12:09
Core Insights - Beijing Shudian Technology Co., Ltd. has completed a Pre-A round financing, raising hundreds of millions of RMB, with participation from several investment institutions [1][2]. Financing Details - The financing round took place on October 27, 2025, with investors including Jihua Venture Capital, Sequoia Capital, Beijing Information Industry Development Fund, Zhuoshi Investment, Liyu Fund, and Junlian Capital [2]. - The company previously raised hundreds of millions of RMB in an angel round on July 16, 2023, with Glory Ventures and Junlian Capital also participating [2]. Company Overview - Founded in March 2022, Beijing Shudian Technology Co., Ltd. focuses on big data computing and artificial intelligence, aiming to reshape enterprise big data infrastructure [2]. - The company's core product is a data virtualization engine, which can be directly applied to existing enterprise big data platforms, enabling rapid enhancement of data warehouses to continuously provide high-quality data assets, efficient green computing power, and unified, user-friendly data service connections [2].
投资锦囊 值得慎思的投资“隐数据”
Zheng Quan Shi Bao· 2025-09-01 18:46
Group 1 - The article emphasizes the importance of capturing "hidden data" in investment models, which are not limited to traditional financial metrics but require advanced AI and non-linear algorithms for extraction [1][5] - It discusses the potential impact of biodegradable plastics on the environment and the economy, highlighting that while they can reduce fossil fuel consumption and carbon emissions, their improper disposal can lead to significant greenhouse gas emissions, particularly methane [2][3] - The article warns that replacing traditional plastics with biodegradable options could drastically reduce global corn production, leading to food shortages and social unrest, which are often overlooked in investment calculations [3][5] Group 2 - The text argues that investment in urban infrastructure often neglects the complex, non-linear data related to population movement, logistics, and externalities like noise pollution, which can affect project outcomes [3][5] - It points out that despite the availability of extensive data, many "hidden data" points remain elusive, and these can significantly influence long-term sustainability efforts [5][6] - The need for investment firms to enhance their data processing capabilities and utilize diverse tools like AI and neural networks to create knowledge graphs is highlighted as essential for extracting valuable insights from vast data sources [5]