Guaranteed Task Completion Time
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Products
Scale RapidThe fastest way to production-quality labels.
Scale StudioLabeling infrastructure for your workforce.
Scale 3D Sensor FusionAdvanced annotations for LiDAR + RADAR data.
Scale ImageComprehensive annotations for images.
Scale VideoScalable annotations for video data.
Scale TextSophisticated annotations for text-based data.
Scale AudioAudio Annotation and Speech Annotation for NLP.
Scale MappingThe flexible solution to develop your own maps.
Scale CatalogCreate, enrich, and enhance eCommerce data.
Scale Enterprise AIModels to support your business use cases.
Scale NucleusThe mission control for your data
Scale LaunchShip and track your models in production
Scale Content UnderstandingManage content for better user experiences
Scale InstantMLNext-day machine learning models, without ML expertise
Scale SpellbookThe platform for large language model apps
Scale SyntheticGenerate synthetic data
Solutions
Retail & eCommerce
Defense
Logistics
Autonomous Vehicles
Robotics
AR/VR
Content & Language
RLHF
Smart Port Lab
Federal LLMs
Resources
Resource Library
Blog
Events
Open Datasets
Interviews
Documentation
Guides
Customers
Pricing
Conference
AI Readiness Report 2022
Company
Training Data for Autonomous Driving
Powering self-driving models with highly accurate training and validation data.
Pixel Perfection
Multiple Classes
Internationally Versatile
24/7 Development Support
Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.
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.
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.
“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
Get Labeled Data Today!
