PaXini, a leader in haptic sensing technology, has successfully closed a strategic funding round of RMB 1 billion, elevating its total capital raised to RMB 3.5 billion. This significant investment sets a new benchmark for cumulative financing in the global haptic perception sector. The round was co-led by a major global consumer electronics group, BOC International Investment, Kunpeng Fund, and Hexin Fangce, signaling strong confidence in the company's future.
A Strategic Coalition of Investors
The new funding round brings together a formidable alliance of industrial, national, and regional capital, reflecting a comprehensive strategic endorsement of PaXini's vision. Alongside the lead investors, the syndicate includes prominent firms such as Dinghui Baifu, Chengdu Jiazi AI Fund, and Jingming Capital. Existing shareholder Zhílai Capital also increased its stake, underscoring sustained belief in the company's direction and execution.
The participation of a trillion-yuan-level consumer electronics and semiconductor giant is a powerful validation of PaXini's technology, which is already integrated into global supply chains. Simultaneously, the involvement of national-level entities like BOC International and Kunpeng Fund anchors the company's strategic importance in core sensors and embodied perception data assets. This dual backing from industry and state provides a unique competitive advantage.
Further strengthening its position, PaXini attracted investment from AI-focused funds representing China's key technology hubs, including the Chengdu-Chongqing and Beijing-Tianjin-Hebei regions. This diverse investor base provides not only financial backing but also access to regional industrial resources and policy support. The combination of industrial leaders, national funds, and market-oriented institutions creates a robust ecosystem for growth.
Advancing Embodied Perception Technology
PaXini is pioneering a vision that extends beyond hardware, positioning itself as a foundational data provider for the emerging Physical AI era. The company's full-stack, self-developed technology allows it to define industry standards from a holistic perspective. This approach focuses on generating structured perception data, which is the true value driver for training advanced embodied intelligence models.
Market adoption has strongly validated this strategy, with PaXini shipping nearly one million of its self-developed tactile-sensing chips in the past year. This achievement demonstrates a clear product-market fit and robust demand from both supply and demand sides of the industry. Furthermore, its multimodal data has been adopted by several leading AI foundation model companies and major technology corporations.
Fueling Global Expansion and AI Development
The newly secured capital is earmarked to accelerate research and development, expand production capacity, and drive a comprehensive global expansion strategy. PaXini is actively building its localized operations and delivery systems in North America, Europe, and key Asian markets. This investment will deepen its integration into world-class supply chains, solidifying its role as a critical node in the global ecosystem.
The company's progress is directly contributing to the advancement of embodied intelligence by providing the crucial data needed to enhance AI capabilities. Haptic data has been proven to significantly improve the task success rates of AI models, becoming the next essential fuel source as visual and language data dividends plateau. PaXini's data factories are enabling AI to move beyond simple motion to performing complex, real-world tasks.
This RMB 1 billion funding round not only reinforces PaXini's dominant position in the haptic sensing market but also accelerates its mission to build the data infrastructure for Physical AI. With the backing of a powerful and diverse investor coalition, the company is well-equipped to scale its technology and expand its global footprint. PaXini is poised to become a fundamental enabler for the entire embodied intelligence industry, shaping the future of human-machine interaction.