AI Haptic Tech Firm Taishan Wins Hundreds of Millions in Funding
Beijing Taishan Technology Co., Ltd. (Taishan Tech), a pioneer in AI haptic perception technology, has successfully completed a Series B funding round, securing several hundred million yuan. The investment was led by industry players including Presight AI, Taiping Innovation, Aux, Pengling Co., Ltd., Lavender Hill Capital Partners (LHCP), and Hongshan Capital, with existing shareholders Dao Shi Technology and Bin Fu Capital also participating. The newly acquired funds will be allocated to advancing haptic sensor and chip development, implementing scenario-specific solutions, and constructing a haptic training platform.
Founded in 2017 and headquartered in Beijing, Taishan Tech specializes in AI haptic perception and full-stack application solutions. Its core team comprises researchers from prestigious institutions like Tsinghua University and the University of Manchester. The company's chief scientist is Steve Furber, a co-inventor of the ARM architecture and a Fellow of the UK's Royal Academy of Engineering. Taishan Tech has established a comprehensive technical system encompassing chips, sensors, algorithms, and application scenarios, notably co-founding the world's first AI haptic perception lab with the University of Manchester in 2019. The company observes a rapid increase in the adoption of haptic sensors in robotic hands, with penetration rates rising from around 20% to over 60% by 2025, a trend that continues to grow monthly.
Taishan Tech's product matrix includes its proprietary hybrid AI haptic chip, supporting low-latency, low-power edge processing based on a spiking neural network architecture, with a next-generation chip already taped out for a Q3 release. Its core sensors, the TS-F fingertip and TS-E robotic hand sensors, offer advanced capabilities such as proximity, 3D force detection, and texture recognition, with the TS-F capable of identifying over 30 materials non-contact. The company has also launched the TS-V vision-haptic training platform and TS-VT data collection version to simplify haptic algorithm training. Taishan Tech is NVIDIA's first global haptic simulation partner for Isaac Sim, with its haptic simulation technology open-sourced on platforms like MuJoCo and NVIDIA.
Financially, Taishan Tech reported that its orders for haptic sensors in robotic hands by the end of May had already reached four times its projected full-year 2025 revenue. Overall company revenue by the same date had surpassed its entire 2025 target. The robotics sector is a significant growth driver, expected to contribute two-thirds of the company's revenue by 2026, outperforming the automotive business by three to four times. Taishan Tech has established commercial partnerships with over 180 robotics industry clients, holding over 80% market share in the humanoid robot haptic sensor segment.
This funding round for Taishan Tech underscores the accelerating convergence of AI and physical interaction, driven by the burgeoning field of embodied AI. The increasing demand for haptic feedback in robotics signifies a shift from purely visual or motion-based control to a more nuanced, tactile interaction with the physical world. This development is critical for robots to perform complex manipulation tasks, moving beyond simple grasping to intricate operations requiring fine motor skills and environmental awareness. The company's integrated approach, from proprietary chips to sensor hardware and software platforms, positions it as a key infrastructure provider in this emerging ecosystem. As embodied AI systems become more sophisticated, the ability to accurately perceive and respond to physical stimuli will be a fundamental differentiator, potentially unlocking new applications in manufacturing, healthcare, and general-purpose robotics. The challenge ahead will be scaling these advanced haptic capabilities reliably and cost-effectively across diverse operational environments.
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