Building the Data Layer for Robotics AI
We convert raw egocentric and teleoperation data into high-quality, policy-ready datasets for training robotics models.
Raw Data
Egocentric + Teleop
Processing
Cleaning & Sync
Annotation
Auto-labeling
Policy Ready
Training Format
99.7%
Data Accuracy
50ms
Avg Latency
Our Pipeline
End-to-End Data Infrastructure for Robotics
From raw sensor streams to policy-ready datasets, our pipeline handles the entire data transformation journey.
Multi-Source Ingestion
Seamlessly collect data from multiple robot sensors, cameras, and teleoperation systems in real-time.
Intelligent Processing
Advanced algorithms clean, synchronize, and validate your raw robotics data automatically.
Auto-Annotation
ML-powered labeling system that annotates actions, objects, and spatial relationships at scale.
Real-Time Pipeline
Process and transform data with sub-50ms latency for time-sensitive robotics applications.
Quality Assurance
Automated validation ensures 99.7% data accuracy with comprehensive error detection.
Analytics Dashboard
Monitor data quality, pipeline performance, and model training metrics in one place.
Sample Datasets
Explore Our Data Quality Standards
Browse sample datasets showcasing the quality and format of our processed robotics data.
Dataset Preview
Manipulation Tasks
Pick-and-place, assembly, and fine motor control sequences
Frames
847
Duration
28.2s
Resolution
1920x1080
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Ready to Transform Your Robotics Data?
Join leading robotics teams using our data infrastructure to train better models, faster.