两天前，公司打造的"帕西尼具身智能超级数据工厂"，在天津市河西区投入运营。谈及选址天津的原 因，公司首席执行官许晋诚说，天津丰富的高校科教资源和大量的工业应用场景，为技术研发与产业化 提供了良好的产学研协同创新生态。 6月25日，在天津举办的2025夏季达沃斯论坛会场内，帕西尼感知科技（深圳）有限公司展出的多维触 觉灵巧手DexH13，因其能灵敏捕捉并同步复刻观众手部动作，吸引了来自世界多地的嘉宾驻足体验。 "随着杭州'六小龙'等中国科创企业密集'出圈'，世界对中国城市的创新生态有了更加浓厚的兴趣。因此 我们提出了'新型创新区——城市增长新引擎'议题，世界经济论坛方面很感兴趣并采纳议题，吸引了不 少嘉宾前来探讨。"刘刚说。 创新生态的构建，需要打通科技成果从实验室到生产线的通道。与会的华熙生物科技股份有限公司董事 长兼总经理赵燕对此感触很深。 她介绍，公司投入数十亿元在天津打造了合成生物中试转化平台，配备64条中试生产线，通过与全球20 余所知名科研院校建立深度合作关系，构建起从基础研究到中试转化，再到产业应用的完整生态。 "我们希望将其打造成面向全行业、开放共享的关键基础设施，为大量尚'沉睡'于实验室阶段的 ...

Core Insights - The Super EID Factory, built by Pasini Technology, is now operational and is the largest data collection and model training base for embodied intelligence globally, located in Tianjin [1][2] - The factory is expected to produce nearly 200 million high-dimensional training data annually, addressing critical challenges in the embodied intelligence industry such as data scarcity and poor generalization [1][2] Group 1: Factory Overview - The Super EID Factory covers an area of nearly 12,000 square meters and is designed to simulate complex real-world scenarios for robots across various applications including automotive manufacturing and healthcare [1] - The factory employs a "15+N" full-scene matrix to create thousands of tasks and millions of processes, enhancing the versatility of data collection [1] Group 2: Data Collection and Cost Efficiency - Pasini has deployed 150 standardized collection units within the factory, capturing data based on real human hand movements, which significantly improves data adaptability [2] - The factory's design allows for reduced data collection costs by eliminating the need for expensive robotic bodies, making large-scale, high-quality data production feasible [2] Group 3: Data Quality and Technological Advancements - The unique Neural Mesh technology developed by Pasini enables lossless collection of multi-dimensional data, including tactile, visual, and auditory information, enhancing the quality of the data set [3] - The factory's output will support the upgrade of Pasini's multi-modal data set to an OmniSharing DB, which will further enhance the capabilities of the TacFlow Engine model [3] Group 4: Financial Backing - Recently, Pasini completed its fourth round of Series A financing, raising several hundred million RMB from notable investors including TCL Ventures and CITIC Lyon [3]