Shenzhen ModuTech has completed a Pre-A funding round of tens of millions of yuan, led by Falcon Capital and Yihua Capital, marking the company's third eight-figure round in less than a year. ModuTech builds a full-stack technical matrix spanning sensors, data acquisition, and tactile models for humanoid robots and industrial manufacturing.
Funding Update: Three Eight-Figure Rounds in One Year
In August 2026, Shenzhen ModuTech announced the completion of a Pre-A funding round of tens of millions of yuan, jointly led by Falcon Capital and Yihua Capital. This marks the company's third eight-figure round in under a year, with proceeds earmarked for R&D team expansion, production line scaling, and global business development.
Notably, China's humanoid robot dedicated tactile sensor market is projected to exceed $320 million in 2026, representing a year-on-year growth rate of over 160% — the fastest-growing component segment in robotics. By July 2026, new funding in the tactile perception sector had surpassed 7 billion yuan, with at least two companies achieving unicorn status. ModuTech's rapid fundraising reflects the market's repricing of tactile data infrastructure value.
Full-Stack Technical Matrix: From Sensors to Tactile Models
Founded in late 2024, ModuTech focuses on building a complete tactile perception technology stack. Unlike competitors who remain at the "build a sensor" stage, ModuTech has constructed a technical matrix spanning "sensors, data acquisition, and tactile models" — forming a closed loop from hardware to algorithms, from physical signals to intelligent decisions.
Its product portfolio includes:
- MoVi visuo-tactile sensors: Based on optical imaging to detect light field changes from elastic deformation, capable of reconstructing 3D topography, predicting slip, and capturing full six-axis force data
- MoFi tactile modules: Utilizing piezoresistive flexible electronic skin, thin and bendable, suitable for large-area contact areas like finger pads and palms
- MoGlo tactile gloves: Real-time capture of pressure changes during palm-object contact, generating high-resolution hand pressure distribution maps
- Tactile models: Converting physical signals into intelligent decisions, forming a continuously evolving data loop
Dual-Engine Strategy: Humanoid Robots and Industrial Manufacturing
ModuTech pursues a "two-handed" market approach, targeting both humanoid robots and industrial smart manufacturing:
Humanoid Robot Domain:
- Deep partnerships established with over 10 leading companies
- One client has placed a multi-million-unit scaled order nearing delivery
- Another client's product has been integrated into the supply chain, ramping from small batch to mass production
Industrial Manufacturing Domain:
- Tactile sensors deployed in new energy battery inspection, 3C manufacturing, and automotive component quality control
- Real production line data shows: defect rates reduced by at least 30% after visuo-tactile sensor deployment
- For a production line with annual output of one million units, a 30% defect reduction translates to millions in cost savings
- The product received substantial inbound inquiries within two months of launch, with small-batch orders already delivered
| Application Scenario | Core Technology | Key Value | Commercial Progress |
|---|---|---|---|
| Humanoid dexterous manipulation | MoVi visuo-tactile sensor | Six-axis force perception, slip prediction | Multi-million-unit order pending delivery |
| Industrial quality inspection | MoFi tactile module | Defect rate reduction 30%+ | Small-batch delivery ongoing |
| Data collection | MoGlo tactile glove | High-resolution pressure distribution | Multi-scenario validation stage |
| Algorithmic decision-making | Tactile model | Continuous evolution loop | Integration with leading clients |
Data Flywheel: The Core Competitive Logic
ModuTech co-founder Zhou Jianlin once stated: "Competition in tactile perception ultimately comes down to data. Whoever gets the data flywheel spinning first will build lasting advantage."
This insight addresses a critical industry pain point. Unlike vision and text data that can be gathered at scale through online channels, tactile signals originate from direct physical contact between entities, creating unique supply bottlenecks:
- Simulation environments can model object shapes and positions but struggle to reproduce composite mechanical features like pressure distribution, friction, and material deformation in real scenarios
- Simulated datasets inherently deviate from real tactile ground truth and cannot fully substitute for human-collected real-world data
- The global deficit of trainable physical interaction data may exceed 95%
ModuTech's closed-loop logic of "perception-data-model-body-scenario" directly addresses this challenge:
- Sensors collect high-dimensional tactile data in real-world scenarios
- High-precision signal acquisition systems align and annotate data at the task level
- High-quality datasets continuously feed back into algorithm training
- Models drive capability upgrades in robotic bodies
- Enhanced robots enter more scenarios, generating richer data
Once this cycle starts, it creates a snowball effect — more clients, richer scenarios, more data, more precise algorithms, stronger product competitiveness. The 2026-2027 period will be the critical window for scaled deployment of domestic tactile sensors, and ModuTech is positioned at the center of this timing. For more embodied intelligence supply chain updates, visit EX1000.COM.
