The Real-world Data Infrastructure For Physical AGI
OriginFlow is building the real-world data infrastructure for Physical AI. Through our NeuroMotor Interface and multimodal data capture, we turn real human operations into scalable data assets—enabling robots to learn from human experience and transfer skills across embodiments.
Harnessing the power of artificial intelligence to revolutionize industries and enhance human experiences.



Core Technology
NeuroScale
NeuroScale
Capturing Human Skill
at the Source
Capturing Human Skill
at the Source
NeuroScale is OriginFlow’s next-generation data acquisition paradigm for Physical AI. Built around natural human operations, it integrates multimodal signals—including surface electromyography (sEMG), IMU data, and vision—to reconstruct action intent, continuous hand motion, 3D pose, active force, and contact dynamics.
Effortlessly connect with your favorite tools. Whether it's your CRM, email marketing platform.

Origin Kit
Origin Kit combines OriginFlow’s neuromuscular EMG wristband, first-person capture device, and control unit. It records synchronized sEMG, IMU, and first-person video while people work as they normally do.
Embodied Datasets
AI Training Infrastructure

Origin Kit
Origin Kit combines OriginFlow’s neuromuscular EMG wristband, first-person capture device, and control unit. It records synchronized sEMG, IMU, and first-person video while people work as they normally do.
Embodied Datasets
AI Training Infrastructure

Origin Data
Origin Data manages the workflow after collection—from quality checks and multimodal alignment to annotation, storage, and dataset delivery. It helps teams turn field recordings into well-organized datasets for training and evaluation.
Neural Signal Decoding
Virtual Touch

Origin Data
Origin Data manages the workflow after collection—from quality checks and multimodal alignment to annotation, storage, and dataset delivery. It helps teams turn field recordings into well-organized datasets for training and evaluation.
Neural Signal Decoding
Virtual Touch


