OriginFlow Raises Over 500 Million, Unveils NeuroScale Paradigm | Oasis Vitality
Human-Machine "Disintermediated" Interaction

OriginFlow, an angel-round lead investment of Oasis Capital, has announced the completion of multiple funding rounds including its angel round, strategic round, and Pre-A1 round, with cumulative financing exceeding 500 million RMB.
The angel round was co-led by Oasis Capital and BlueRun Ventures. During the strategic round, 58 Strategic Investment, Puhua Capital, and Tsinghua University Shuimu Seed Alumni Fund were brought in as strategic and industry investors. Oasis Capital, BlueRun Ventures, and other existing shareholders made additional investments totaling tens of millions of RMB, doubling down on their positions.
The newly closed Pre-A1 round was led by Monolith, with existing shareholder Puhua Capital making an additional follow-on investment. The round also attracted participation from leading market-driven investors including Yuanhe Puhua, Yuanhe Origin, and Guofang Venture Capital.
The OriginFlow founding team stated: "Securing backing from multiple investors across these rounds fully demonstrates the capital market's strong recognition of our systems engineering capabilities and our NeuroScale full-stack technical approach. Going forward, we will continue to deepen our R&D in embodied intelligence foundational technologies and accelerate commercialization in high-end application scenarios."
Ivy, Partner at Oasis Capital, said: "OriginFlow takes neuromuscular electrical signals as its starting point to build a complete chain from human intention to force and tactile data. The team has proposed the forward-looking NeuroScale paradigm, which shifts data collection anchor points from 'action outcomes' to 'neural intention' — driving a generational leap at the source of data. Looking further ahead, we believe that as the team advances sEMG signal decoding technology toward maturity, it will redefine data collection methods and even rewrite the underlying logic of human-machine collaboration."

Since 2025, domestic embodied intelligence has continued to gain momentum.
Humanoid robots and commercial service robots have gradually achieved commercial deployment of basic mobility capabilities. However, the industry broadly faces capability fragmentation: insufficient fine dexterous manipulation in high-end scenarios such as precision manufacturing and complex household tasks remains the core bottleneck constraining scaled advancement.
At root, this is constrained by limitations in data fidelity, collection precision, and the ability to collect at scale. Most current robots can only replicate surface-level human motion trajectories, struggling to accurately recognize force and tactile feedback or adapt to complex interaction logic in dynamic environments — further increasing the difficulty of commercializing high-end scenarios.
Addressing this industry pain point, OriginFlow — a tech company founded by Tsinghua PhD candidate Shentao Qin, born in the 2000s — has been first to propose and implement a new data collection paradigm based on NeuroScale, leveraging neuromuscular electrical sensing technology to break through bottlenecks in physical interaction data.
This technical differentiation has helped OriginFlow sustain strong capital market appeal. The company has completed multiple funding rounds within just five months of formal operations.

NeuroScale
Cracking the "Impossible Triangle" of Embodied Intelligence Data Collection
Data quality is the central gate for embodied intelligence to achieve generalization, and the industry has long been trapped in an "impossible triangle" of cost, quality, and efficiency. Current mainstream technical paths each have clear adaptation boundaries: first-person visual collection approaches like EgoScale can only record surface behaviors, unable to reconstruct the underlying logic of human force generation; teleoperation and motion-capture gloves carry high hardware barriers that limit scaled commercial deployment.
As one of the first companies globally to systematically apply sEMG technology to general embodied intelligence data collection, OriginFlow independently developed the NeuroScale next-generation collection paradigm. This paradigm uses neuromuscular electrical signals (sEMG) as its core carrier, capturing human muscle contraction electrical signals through self-developed EMG collection hardware, then algorithmically decoding them into multi-dimensional data including continuous hand pose, high-resolution force values, and tactile feedback. Unlike EgoScale's "learning by watching" at the visual level, NeuroScale decodes intention and execution logic directly from the signal source of human action generation, building an entirely new data foundation for robots to achieve refined, human-like dexterous manipulation.
According to the company, NeuroScale achieves industry-level breakthroughs across three dimensions:
- Efficiency: By directly interfacing with the human body's native "intention — muscle — action" transmission chain, it avoids complex transformation processes, substantially improving collection efficiency and shortening training cycles;
- Cost: Through full-stack solutions that optimize hardware structure and integrate supply chain resources, it significantly lowers equipment deployment barriers, making it more suitable for multi-scenario batch deployment;
- Generalization: It demonstrates strong cross-population, cross-environment, and cross-embodiment generalization capabilities.
NeuroScale has already achieved breakthrough progress in continuous gesture recognition and high-precision force control reconstruction, capable of accurately replicating subtle differences in human force application. This effectively addresses industry-wide problems of rigid robot motion and insufficient force control precision.

Conceptual diagram

Partnering with Industry Players
Landing in Industrial and Household Dual Tracks
Five months into operations, OriginFlow has begun pushing toward commercial deployment in both industrial manufacturing and household service scenarios. Industrial manufacturing scenarios are structured with standardized processes, suited for high-precision process data accumulation. Household service scenarios are unstructured with dynamic, variable environments, testing robots' flexible manipulation and generalization capabilities.
In the industrial sector, OriginFlow is partnering with global leading high-end manufacturers to co-build embodied intelligence data collection application scenarios. The collaboration will focus on high-precision, high-repetition, and high-risk industrial segments, using intelligent solutions to optimize production efficiency and line utilization rates, achieving cost reduction and efficiency gains. This partnership can effectively fill high-end manufacturing labor gaps, avoid human operational errors, replace hazardous, heavy, and repetitive low-end processes, and shift human labor toward higher-value R&D and management roles. By industry estimates, after scaled deployment of industrial humanoid robots, near-term industry revenue could reach the tens of trillions of dollars, with long-term industrial value potentially exceeding hundreds of trillions.
The household service track offers vast market space and social value. According to McKinsey & Company research data, global unpaid household and care work totals 680 billion hours annually, with implicit economic value exceeding $12 trillion. If household robots could cover 30%-50% of household scenarios, they could generate over $6 trillion in annual industry revenue. Beyond this, household intelligent solutions can effectively address global population aging challenges. Industry data shows that by 2035, the global population aged 65 and above will exceed 1.2 billion, with a caregiver shortfall of over 100 million. After scaled普及 of household service robots, over $2 trillion in annual operating costs could be saved for eldercare institutions and home-based elderly care scenarios.
In household service scenarios, focusing on high-frequency operational tasks such as clothing organization, home cleaning, and kitchen work, OriginFlow will partner with industry players including 58 Group to collect massive amounts of human operational data, building a skill database for household robots and providing sustained, high-quality "data fuel" for the capability evolution of household service robots — jointly driving scaled application deployment.
From a longer-term industrial logic perspective, NeuroScale points not only to embodied intelligence data collection but potentially extends to the next generation of human-machine interaction interfaces. As neuromuscular electrical technology matures, low-latency, high-precision, low-intermediary human-machine interaction methods could open new application spaces across robotics, intelligent hardware, medical rehabilitation, and spatial computing.

With an interdisciplinary talent architecture, the team has deep expertise across artificial intelligence, robotics engineering, neural dynamics, hardware supply chain, and industrial commercialization — forming closed-loop capabilities spanning technology R&D and business operations. This provides the core foundation for algorithm iteration, hardware self-development, and scaled industrial deployment, and represents the core confidence behind continued capital commitment.
Looking across the evolution of human-machine interaction: the PC era relied on keyboard and mouse; the mobile era relied on touchscreens and cameras. Each interaction revolution has spawned trillion-dollar industrial transformations. Today, OriginFlow is opening a new era of "de-intermediated" human-machine interaction through its globally original NeuroScale paradigm. This technology can not only replace low-end repetitive human labor, driving exponential growth in production efficiency and creating trillion-dollar industrial增量, but will also reshape product forms and business logic across entertainment, healthcare, intelligent hardware, and electronic information industries — injecting core momentum into the scaled development of artificial general intelligence.
What is vitality?
Vitality is extreme Gaming. Eventually a Game Changer. — Shentao Qin, Founder of OriginFlow





