触觉感知企业尧乐科技已完成Pre-A+轮融资[1][2]。本轮融资由鼎和高达领投，常熟汽饰、祖龙娱乐跟投[1][2]，云道资本担任长期独家财务顾问[1]。公司前期融资方包括小米（天使轮）、科沃斯参股的隐峰基金（Pre-A轮）、硅港资本和初辉资本[2]。创始人兼CEO吕莉蕴曾任Harman全球创新部首席架构工程师[2]。
尧乐科技采用一体织造的柔性织物传感方案进行技术研发[1]。其核心技术为"金属纱线+三明治矩阵"传感器技术，将传感能力直接嵌入织物结构[1]。公司主要提供数据手套、智能座椅等柔性触觉传感网络产品，用于采集具身智能和世界模型训练所需的真实物理交互数据[1][2]。2025年，公司成为某一线豪华车企智能座椅压力方案的核心供应商，完成量产交付[2]。数据手套产品预计于2026年8月推出[2]。
全球高质量真实物理交互数据总量约为50万小时，而训练通用具身模型至少需要千万小时级数据，缺口达九成以上[1]。公司已自建约7500平方米工厂，打通从纱线到传感网络的全流程[2]。公司预计2026年订单将翻10倍[2]，其中数据手套业务将占整体营收一半以上[1]，增量近一半来自具身智能领域[2]。
Yaole Tech, a developer of flexible tactile sensing technology, has completed its Pre-A+ funding round led by Dinghe Gaoda, with follow-on investments from Changshu Auto Parts and Zulong Entertainment [1][2]. The company specializes in creating data gloves and other flexible tactile sensor networks using an integrated weaving approach that embeds sensing capabilities directly into fabric structures [1][2].
The startup's core technology combines metal yarns with a sandwich matrix sensor design to capture physical interaction data for training embodied AI models and world models [1]. According to the company's projections, data glove products are expected to launch in August 2026 and will account for more than half of total revenue by that year, with the company anticipating a 10-fold increase in overall revenue by 2026 [1][2]. Orders related to embodied AI applications are expected to represent nearly half of the projected order growth in 2026 [2].
Yaole Tech has already achieved significant milestones in the automotive sector, becoming a core supplier of intelligent seat pressure solutions for a leading luxury automaker in 2025, completing mass production delivery [2]. The company has constructed approximately 7,500 square meters of manufacturing facilities to manage the entire production chain from yarn production to sensor networks [2]. Previous investors in the company include Xiaomi from the angel round and Qiufeng Capital, which is backed by robotics firm Ecovacs, from the Pre-A round [2]. Founder and CEO Lü Li was previously Chief Architect Engineer at Harman's global innovation division [1][2].
The expansion reflects significant market demand for high-quality physical interaction data, with an estimated 500,000 hours of such data globally available, while training universal embodied models requires data volumes in the tens of millions of hours, representing a gap of over 90 percent [1]. Cloud Path Capital serves as the company's exclusive long-term financial advisor [1].
