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
Comply with international data security standards and realize transparent and controllable data lifecycle management.
Overseas data is not sent back to the delivery center, and is managed locally in a closed loop.
Physical world data acquisition and annotation depth experience.
Cross time zone collaboration, global rapid response to customer needs.
Southeast Asia has advantages in human cost and cost-effective cooperation.
Southeast Asia, India, Europe and the United States and other bases rapidly expanded and contracted production.
Multi round cross check, SLA commitment of accuracy.
Southeast Asia diversified population, languages, home environment and other scene adaptation collection.
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
Follow Detail Future for the latest company updates and insights into embodied AI data.
Detail Future | Build High Level Human-Robot Collaboration Data Foundation
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