Gasgoo Munich- OriginFlow, a tech startup founded by Tsinghua University doctoral student Qin Shentao, has closed multiple funding rounds—including angel, strategic, and Pre-A1 tranches—over the past few months. The total financing raised exceeds 500 million yuan.
The angel round was co-led by BlueRun Ventures and Oasis Capital. During the strategic round, the company brought on strategic and industrial investors including 58 Strategic Investment, Matrix Partners China, and the Tsinghua University Seed Alumni Fund. Existing backers like BlueRun and Oasis doubled down with oversubscriptions worth tens of millions.
The recently closed Pre-A1 round was exclusively led by Monolith Capital, with returning investor Matrix Partners China increasing its stake. The round also saw participation from top-tier market-oriented institutions including Oriza Holdings, Oriza Origin, and Guofang Capital.
Registered in August 2025, OriginFlow has been in formal operation for just five months. The startup is focused on breaking through bottlenecks in fine manipulation data. To do this, OriginFlow pioneered and deployed a new data acquisition paradigm based on NeuroScale, leveraging neuromuscular sensing technology to unlock physical interaction data.
Image Source: Cygnus Capital
The NeuroScale paradigm uses surface electromyography (sEMG) signals as its core carrier. Through a proprietary acquisition kit, it captures electrical signals from human muscle contractions. Algorithms then decode these signals to output multi-dimensional data, including continuous hand postures, high-resolution force values, and tactile feedback.
In essence, NeuroScale decodes intent and execution logic directly from the signal source of human movement, constructing a new data foundation for robots to achieve fine, anthropomorphic dexterous manipulation.
By comparison, first-person visual acquisition solutions like EgoScale can only record surface behaviors, failing to reconstruct the underlying logic of human force application. Meanwhile, methods like teleoperation and motion capture gloves face challenges such as high hardware barriers and limited scalable commercial deployment.
To date, NeuroScale has made breakthroughs in continuous gesture recognition and high-precision force control reconstruction. It can precisely replicate subtle human force differences, effectively addressing common industry issues like robotic rigidity and insufficient force control accuracy.
OriginFlow has also begun promoting industrial deployment across two main scenarios: manufacturing and home services. In the industrial sector, OriginFlow is partnering with leading global high-end manufacturers to build industrial embodied data acquisition scenarios. Focusing on high-precision, repetitive, and high-risk industrial processes, the company uses intelligent solutions to optimize production efficiency and line utilization rates, ultimately reducing costs and boosting productivity.
In domestic service scenarios, centering on high-frequency tasks such as organizing clothes, home cleaning, and kitchen work, OriginFlow will join forces with industry partners like 58 Group to collect massive amounts of human operation data. They are building a skill database for housekeeping robots, providing continuous, high-quality "data fuel" for the evolution of domestic service robots, and jointly driving the large-scale application of these machines in the home.
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