Guaranteed Task Completion Time
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
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
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AI Readiness Report 2022
Powering self-driving models with highly accurate training and validation data.
Pixel Perfection
Multiple Classes
Internationally Versatile
Enterprise-grade SLAs include task completion times and tasks can be rapidly scaled up and down to meet your requirements.
Each enterprise customer is paired with a dedicated engagement manager who will ensure smooth on-boarding and continued data delivery.
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.
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.