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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
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For Researchers
Advance your research
For faculty members tired of waiting on data to be annotated, you can get started with Rapid without going through a project approval process. Rapid allows you to accelerate your model training by setting up projects right away, and receiving initial labeled data back within hours.
For Students
Label data with no barriers
For students stuck using available open-sourced datasets, Rapid can support your project no matter how big or small your labeling need. Get started as soon as you register - and even label your data yourself. With Rapid, you can make your project take off.
customer case
Peer-Reviewed Doesn’t Mean Perfect Data
Supervised learning works reliably to solve a wide range of problems, and meanwhile its success depends on the assumption that all training data is correctly labeled.
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