MiFeng Technology, which runs a one-stop physical-AI data service platform, has closed a new round of several hundred million yuan. The round was led by China Telecom, with Zhangjiang Group following and Sequoia China and Yuanqi Innovation topping up their earlier stakes. The money will scale production of the MEgo series of bodiless capture products, lift end-to-end data collection, governance and evaluation, and accelerate capacity toward tens of millions of hours of physical-interaction data.
Physical AI, the firm argues, needs large-scale, high-quality real interaction data to master higher-order reasoning and physical law, and that data is noisier and denser than language data. MiFeng attacks it from three ends. Capture: its self-developed MEgo series of bodiless collection products is already in volume production across factories, logistics, supermarkets, homes, hotels, catering, security, elderly care and tourism, syncing environment sensing with hand-motion data at millimetre trajectory precision. Governance: the MEgo Engine automates preprocessing, spatial rebuild, multimodal labelling and quality scoring, more than ten times faster. Evaluation: a data flywheel lifts per-task success by 5 to 10 per cent each loop.
Cloud, scene and ecosystem
The investors bring more than capital. China Telecom contributes cloud-network fusion, compute scheduling, scene access and compliance, jointly building a cloud-network plus embodied-data solution for humanoids, smart manufacturing and industrial parks. Zhangjiang Group opens park, industrial and commercial scenes to build a public embodied-intelligence data carrier. MiFeng already runs innovation centres in over twenty Chinese cities and more than five overseas nodes, and supplies training data to base models such as LingBot-VLA 2.0.
The chairman and chief executive Yao Maoqing calls the round a coupling of cloud-network, scene and ecosystem, not just cash. The firm styles itself the platform-level supplier of embodied-intelligence data, and has launched a hive-style co-creation campaign to build an open data-flow network.
Editor’s note: This is an adapted translation of the original LeiFeng Network report. It has been trimmed and restructured for readability for an international business audience.