Guaranteed Task Completion Time
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
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See all customersTraining Data for Autonomous Driving
Powering self-driving models with highly accurate training and validation data.
ANNOTATION TYPES
Images, Videos or 3D LiDAR/RADAR
Scale supports a standard group of labels (pedestrians, cyclists, cars, etc.) but we are open to further customization for your particular use case.
PLATFORM FEATURES
A Comprehensive Set of Tools
Built by machine learning engineers for machine learning engineers, our rich set of tools can handle a wide range of labeling requirements.
Pixel Perfection
Multiple Classes
Internationally Versatile
Enterprise Ready
Custom Annual Plans and SLAs
Get started today with on-demand, or chat with us about an enterprise plan.
Cost Effective
Enterprise engagements provide upfront and volume-based discounts, and is the most cost-effective solution for high-quality labels. Plus with Scale AI, there are no platform fees.
Quality Assurance
Best-In-Class Quality
Industry leading quality datasets safe-guarded against ever-changing, messy, real-life driving data.
Super Human Quality
Autonomous Driving tasks submitted to the platform are first pre-labeled by our proprietary ML-model, then manually reviewed by highly trained workers depending on the ML model confidence scores. All tasks receive additional layers of both human and ML-driven checks.
The resulting accuracy is consistently higher than what a human or synthetic labeling approach can achieve independently.
CUSTOMERS
Trusted by World Class Companies
Autonomous Driving is trusted by leading machine learning teams to develop more accurate models.
“Very quickly, our engineers liked what they saw and we asked Scale to ramp 10X throughput in a matter of weeks. Scale’s been able to support the extra throughput request and allowed us to do great research.”
David Garber
Product Manager, TRI
“Scale is basically providing the ground truth for our perception systems. It’s a very, very critical piece for us to develop.”
Anantha Kancherla
Head of self driving software, Lyft
