Overview
Scale AI is a data platform for AI that provides data labeling, annotation, and model evaluation services. Valued at $7+ billion, Scale has become critical infrastructure for AI companies, providing the high-quality training data that powers models from OpenAI, Meta, and others. The company also offers RLHF (Reinforcement Learning from Human Feedback) services.
Scale combines human expertise with AI to label data at massive scale across text, images, video, 3D, and more. The platform is used not only by AI companies but also by autonomous vehicle companies, government agencies, and enterprises building AI systems.
Key Features
**Data Labeling**: Human-in-the-loop annotation**RLHF**: Train models with human feedback**Evaluation**: Assess model performance**Scale Nucleus**: ML data management**Scale Rapid**: Quick labeling projects**Generative AI Data**: Training data for LLMs**Enterprise Security**: Government-grade security**Custom Workflows**: Tailored annotation pipelinesWhen to Use Scale AI
Scale AI is ideal for:
AI companies training foundation modelsComputer vision and autonomous systemsOrganizations needing high-quality training dataModel evaluation and testingRLHF for aligning language modelsGovernment and defense AI projectsPros
Highest quality data labelingPowers major AI companiesEnterprise-grade securitySupports all data modalitiesStrong reputation and track recordGood for complex annotation tasksExperienced teamSignificant fundingCons
Very expensiveEnterprise-only (not for small projects)Long lead times for projectsRequires large budgetsOverkill for simple labelingLimited self-service optionsComplex procurementMay have capacity constraintsPricing
**Enterprise Only**: Custom pricing**Contact Sales**: No public pricing**Typical**: Thousands to millions per project