What We Do
End-to-End Physical AI Data Pipeline for High-Precision Data Collection, Validation, and Operations
Data Collection
Build large-scale multimodal datasets from real-world environments, teleoperation systems, and digital twin simulations for Physical AI training.
Data Labeling
Leverage AI-assisted workflows and expert annotators to generate high-quality training data for complex physical interaction scenarios.
Data Validation
Ensure dataset reliability and consistency through structured quality assurance and multi-stage verification processes.
Model Evaluation
Evaluate Physical AI models against real-world task performance, scenario robustness, and operational accuracy.
How We Work
Specialized Data Platform for VLA Data Collection, Processing, and Validation
A Platform Purpose-Built for Physical AI Data
Integrated Multimodal Data Management System
A specialized platform for collecting and uploading diverse behavioral data from teleoperation and simulation environments, enabling real-time review, validation, and management throughout every stage of the workflow.
Customized Data Design Tailored to Your Requirements
Detailed Management by Behavior Scenario
Manage complex data structured by Task, Scenario, Sub-Task, and Action Segment to enable more accurate and efficient data processing.
From Automated Quality Validation to Human Expert Review
Granular Data Management Features
A unified platform for automated QC, expert data labeling, validation, and correction workflows.
Automated Data Quality Validation
Time-Series Data Synchronization Viewer
Multi-Camera Video Viewer
Action Sequence Labeling Tools and More
