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 Document AITemplate-free ML document processing
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
Retail & eCommerce
Content & Language
AI Readiness Report 2022
World class data curation should be accessible to everyone.
For researchers finding it difficult to reproduce and interpret their research data, you can get started with Nucleus to ensure your data is findable, accessible, interoperable, and re-useable. Nucleus enables you to build better models through data exploration, curation, and quality assurance.
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For students struggling with ML projects, Nucleus can support your project whether you have labels, models, or an empty repo. Search over your unlabeled data with Natural Language Search, create classifiers with Nucleus Autotags, and demo your project with our auto-generated charts, confusion, and correlation matrices.
Better ML starts with understanding your data in depth. To improve your ML models, you need to understand your models’ qualitative failure modes, fix them by gathering the right data, and curate diverse scenarios.