Ship robots faster. Skip the data bottleneck.
From collection costs to quality inconsistency, the path to production-ready robotics AI is blocked by fundamental data infrastructure gaps.
Companies spend $50K-$500K on custom data collection for each manipulation task, with no guarantee of quality.
No standardized way to evaluate data quality across providers. Teams waste months on unusable datasets.
Every team builds custom benchmarks, making it impossible to compare model performance objectively.
Limited robot hardware access slows data collection cycles from weeks to months.
Skip the data bottleneck with quality-scored datasets, standardized benchmarks, and auditable deployment evidence.
Pre-built, quality-scored robotics datasets for manipulation tasks. Works seamlessly with LeRobot and OpenX frameworks.
Standardized benchmarks to objectively measure model performance across manipulation tasks.
Auditable evidence packages for production robotics systems. Compliance-ready documentation for regulatory review.
Domain-specific datasets
Need custom data collection or enterprise solutions?
Contact SalesGenerate physically-accurate robotics training videos at scale using Cosmos Text2World — NVIDIA's state-of-the-art world foundation model for Physical AI.
Enterprise-Grade Synthetic Data Generation
Define the task in natural language
Pick object X, place in bin Y
Cosmos generates video episodes
Physically-accurate simulations
Automated + human scoring
Multi-dimensional quality metrics
Download in standard formats
RLDS, LeRobot, OpenX, PyTorch
Generate diverse, physically-accurate training episodes from text prompts. NVIDIA's Cosmos world model understands physics, object interactions, and real-world dynamics.
Our community contributes robotics training data through multiple channels, from browser games to real hardware teleoperation.
Browser-based simulation games
Play engaging browser games that capture manipulation patterns. From stacking challenges to sorting tasks, every game session generates valuable training data.
Local data capture utility
Desktop app for robot operators to capture manipulation data. Works with SO100, Koch, and other platforms.
Remote operator matching
Connect operators with hardware owners for remote teleoperation.
Direct hardware control
VR-ready interface for immersive manipulation capture.
Three simple steps to accelerate your robotics AI development
Search our catalog of quality-scored robotics datasets by task type, robot platform, or manipulation category.
Download samples and review detailed quality scores. Inspect trajectory success rates before committing.
Train your models with proven data. Deploy with confidence using benchmark proofs and compliance documentation.
Quality methodology, transparent processes, and technical credibility built for production robotics systems.
Compatible with leading frameworks
Evaluated against multiple quality metrics including smoothness, efficiency, and success rate.
Train on synthetic data, fine-tune on real. Validated transfer learning from simulation to deployment.
Academic & commercial terms.
Diverse environments, not sims.
Data collected on production hardware
