Zheng Mingkai
Chief Technology Officer
Leads technical direction for embodied intelligence and world models

Data Collection, Annotation and Delivery at Global Scale
A general contracting service provider specializing in personalized intelligent services for global expansion
Chief Technology Officer
Leads technical direction for embodied intelligence and world models
CORE TEAM
Cross-disciplinary talent from Tsinghua, BIT, Harvard, Osaka and beyond — connecting world models, embodied perception and data products into one team.
Expert in Human-Computer Interaction and Large Model Algorithms
For the areas of human-computer interaction and large model algorithms.
Head of Data Products
Data product planning, project evaluation and global coordination
AI System Architecture Expert
Large-scale AI training systems, distributed computing, and cloud infrastructure.
Senior Advisor
Translates real-world needs into data tasks and technical solutions
Senior Data Scientist
Multisource spatiotemporal fusion, 3D modeling and sim-to-real alignment
Co-founder & Chief Operating Officer
Builds commercialization, ecosystem partnerships and scalable delivery
Define goals, scene boundaries, data modalities, and delivery standards.
Break down workflows into reproducible capture tasks and scenario scripts.
Match robot carriers, collection forms, sites, and field resources.
Run a pilot to validate process, quality, and cost models.
Scale capture and structured production with standardized workflows.
Multi-layer annotation and QA for usable, consistent datasets.
Apply privacy, access control, and compliance before delivery.
Deliver securely across regions in the client’s required formats.
CASE STUDIES
Autonomous DrivingHigh-quality data processing and annotation for production autonomous driving.
EGO first-person perspective interaction dataObserve the interaction process to enhance the model's capabilities in ego-perspective feature extraction, local environment perception, and real-time state prediction.
Multimodal Training DataCollect multimodal data—such as grasping and assembly data—to enhance the robot's precision manipulation capabilities.
PARTNERS
NEWS
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From prototype on the exhibition booth to going live in the factory, breaking down the full industrialization cycle of embodied intelligence
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