Data Governance & Data Factory

Real-world video annotation, cleaning, and compliance governance for embodied AI. We collect and produce high-quality datasets using UMI, egocentric, and other methods for robot training.

Data Governance

What We Offer

We provide end-to-end data solutions for embodied AI and robot training. Our data factory processes real-world videos through annotation, cleaning, and compliance governance, while also producing high-quality datasets specifically designed for embodied robot applications.

Data Services

Video Annotation & Labeling

Precise annotation of real-world videos including object detection, action recognition, scene understanding, and robot manipulation trajectories.

Data Cleaning & Quality Control

Systematic cleaning pipelines to remove noise, duplicates, and low-quality samples. Multi-stage quality assurance ensuring dataset integrity.

Compliance & Privacy Governance

Ensure data compliance with privacy regulations, proper consent management, and ethical data usage for AI training.

Embodied Robot Data Collection

Specialized data collection using UMI, egocentric cameras, and other methods to capture high-quality manipulation and interaction data.

Dataset Products

UMI Datasets

Universal Manipulation Interface datasets capturing diverse robot manipulation scenarios with high-fidelity sensory data.

Egocentric Datasets

First-person perspective datasets ideal for training robots to understand human actions and interactions in natural environments.

Custom Dataset Production

Tailored dataset creation for specific robot types, tasks, and environments based on your training requirements.

Data Production Process

1

Data Collection

We collect real-world data using specialized equipment including UMI systems, egocentric cameras, and multi-modal sensors.

2

Annotation & Labeling

Expert annotators label data with precise annotations for actions, objects, and spatial relationships.

3

Cleaning & Validation

Automated and manual cleaning processes remove errors, ensure consistency, and validate data quality.

4

Compliance & Delivery

Final compliance checks ensure regulatory adherence before delivering ready-to-use datasets in standard formats.

Data Types

  • Robot Manipulation
  • Human-Robot Interaction
  • Scene Understanding
  • Object Recognition
  • Action Recognition
  • Spatial Reasoning

Collection Methods

UMI
Egocentric
Multi-modal
Sim-to-Real

Quality Standards

  • Multi-stage QA Pipeline
  • Inter-annotator Agreement
  • Automated Validation
  • Privacy Compliance

Need High-Quality Training Data?

Contact us to discuss your dataset requirements for embodied AI and robot training.

Get Started