Tailored Services for Embodied AI

Nexdata provide accurate and comprehensive data support for various embodied intelligent applications. Whether it is visual perception, motion control, or interaction with the environment, we can provide the most appropriate data.

Ego-Exo Action Video Annotation

Collects aligned egocentric and exocentric recordings with fine-grained temporal segmentation, enhancing downstream training for manipulation, navigation, planning.

Motion Trajectory & Action Tracking Data

Record human or robot motion trajectories with keypoint and path annotations for action understanding and prediction.

Sim-to-Real Alignment Data

Generates simulated environment data aligned with real-world sensor data to enable cross-domain training and model generalization.

3D Scene Reconstruction Data

Provides high-precision scene scanning and point cloud annotation to support spatial reconstruction and robot navigation training.

Multi-View 3D Reconstruction Data

Reconstruction and annotate object and human body models through multi-view imaging or 3D scanning to enable high-fidelity model generation and pose recognition.

Voice-Guided Interaction Data

Provide paired datasets of voice commands and robot responses to support voice navigation and multimodal interaction scenarios.

Tactile & Force Feedback Data

Collects data from gloves and robotic arms with tactile sensors, annotating force parameters to enhance physical interaction such as grasping and manipulation..

Key Feature

We delivers end-to-end embodied AI data solutions, offering fully customizable services, including diverse real-world environments, rich human-robot interactions, and multi-robot support to boost model training and deployment.

Fully Customizable Data Services

Flexible service models—scenarios, actions, sensors, robot brands, and data formats tailored entirely to client requirements.
Diverse Real-World Environments

Data collected from everyday living spaces to complex industrial facilities, enabling robust generalization for robots and embodied agents.
Human-Centric & Robotic Demonstrations

Comprehensive ego-exo action datasets, including bi-manual operations, and trajectory tracking to accelerate learning from both humans and machines.
Multi-Robot & Manipulator Advantage

Support diverse robot types, including multiple types of humanoid robots and robotic arms enabling broad coverage of embodied intelligence tasks and interaction modes.

Compliance & Security

Nexdata place the utmost emphasis on data security and client trust. We follows Personal Information Protection Act, GDPR, CCPA, PIPC and HIPAA regulations. we have also achieved ISO 27001,ISO 27701 and ISO 9001 qualifications for security and regulatory compliance. Nexdata delivers unparalleled data security, earning the trust of our clients through our adherence to these globally recognized standards.

Deploy reliable AI faster with Nexdata

Nexdata helps you to gain unparalleled control of your annotation workflow through pipeline. Speed up your AI projects 5x today.

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Case Studies

USE CASE：Multi-dimensional Behavior Annotation for Embodied AI Robots
CHALLENGE：Client requires comprehensive evaluation of robot task execution through video data analysis, involving TRUE/FALSE annotation of task understanding accuracy and multi-criteria scoring across three robot types.
SOLUTION： Nexdata implemented a structured annotation framework for robotic behavior, integrating goal-state definition, temporal action validation, and multi-factor scoring across completion, feasibility, and efficiency. The framework processed dialogues, BDDL scene descriptions, action traces, and execution videos, ensuring consistent benchmarking across robot platforms to enhance task reliability and embodied AI performance.

Fine-grained Action Data Collection & Annotation

USE CASE：Fine-grained Action Data Collection & Annotation for Robotic Manipulation Tasks
CHALLENGE：Client needed high-quality datasets capturing precise robotic arm movements for complex tasks (coffee making, blackboard erasing, pen capping). Key challenges included synchronizing bi-manual motions, segmenting continuous actions into multiple sub-steps, and handling occluded or ambiguous movements.
SOLUTION： Nexdata built a structured annotation framework with temporal labeling, bi-manual task separation, and inference for occluded motions.Extended with AI-assisted tools improved boundary detection and reduced 30% manual effort, while 3-tier QC ensured 99.2% accuracy—enabling high-fidelity training data that boosted robotic manipulation precision by 40%.

Why Nexadata