• Scale AI is a data infrastructure platform that accelerates AI application development.
• It offers high-quality labeled data, synthetic data generation, and model evaluation services.
• Supports various use cases such as computer vision, natural language processing, autonomy, and geospatial analysis.
• Key products include Scale Data Engine, Scale GenAI Platform, and Scale Nucleus for managing data pipelines and evaluating outputs.
• Used by organizations like OpenAI, Meta, Microsoft, and the U.S. Department of Defense for model alignment, safety, and scalability.
Provides high-quality labeled data for AI training
Enables synthetic data generation for faster iteration
Offers model evaluation and alignment tools for LLMs
Scale GenAI Platform helps fine-tune and deploy AI models
Supports large-scale computer vision and NLP projects
Geospatial and satellite imagery data annotation
Data Engine manages scalable training pipelines
Trusted by OpenAI, Meta, and U.S. Government
Customizable workflows for complex AI needs
Ensures responsible, aligned, and secure AI development
What is Scale AI used for?
Scale provides data labeling, synthetic data, and model evaluation tools for AI development.
Who uses Scale’s platform?
Organizations like OpenAI, Microsoft, and the U.S. Department of Defense use Scale to train and evaluate AI models.
What kind of data does Scale support?
Scale supports image, video, text, 3D point cloud, and geospatial data annotation.
Can Scale help with GenAI model development?
Yes, Scale’s GenAI Platform offers tools to fine-tune, test, and align large language models.
Is Scale only for big companies?
While it’s trusted by major enterprises, Scale also supports startups and research labs with flexible offerings.