Last updated 08-09-2026
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Scale
Scale AI supplies training data, model evaluations, and applied AI systems for labs, enterprises, and governments building machine learning products. The company runs the Scale Data Engine for annotation and RLHF, the GenAI Platform for full-stack generative workflows, and Donovan for defense-oriented intelligence work. Customers include Meta, TIME, Instacart, and public sector agencies that need audited, high-volume data pipelines rather than ad hoc labeling spreadsheets.
Where many labeling vendors focus on a single modality or outsource quality control entirely, Scale combines ML-assisted pre-labeling with layered human review across text, image, video, and 3D sensor fusion including LiDAR. Its Generative AI Data Engine adds prompt generation, red teaming, and benchmark evaluations in one loop, so teams can train, stress-test, and compare frontier models without stitching together separate vendors.
Scale fits ML teams shipping self-driving perception, document NLP, generative assistants, and government programs that demand traceable data provenance. Teams book a demo for custom contracts because pricing is enterprise sales only, not a self-serve checkout page.
15 billion human decisions logged for training AI models
Annotation pipelines cover text, image, video, and 3D LiDAR sensor fusion
Generative AI Data Engine handles RLHF, red teaming, and model evaluation in one workflow
Supports projects from small experiments to high-volume production labeling
Trusted by Meta, Instacart, and TIME for production-scale data needs
Documentation covers GenAI Platform, GenAI Data Engine, and automotive workflows
Covers text, image, video, and 3D LiDAR annotation in one platform.
Combines ML pre-labeling with human review for higher label quality.
Bundles RLHF, red teaming, and evaluations for generative model teams.
Trusted by major AI labs and Fortune 500 companies at production scale.
No public pricing or self-serve signup; every deal starts with a sales demo.
Enterprise contracts are required for most labeling and evaluation workflows.
Broad product scope can feel heavy for teams that only need simple annotation.
What is Scale AI?
Scale AI is a data science company that turns raw data into high-quality training data through ML-assisted pre-labeling and human review. Scale also runs model evaluations, red teaming, and full-stack applied AI systems for enterprises and governments.
What data types does Scale annotate?
Scale annotates text, images, video, and 3D sensor fusion data including LiDAR. Its Data Engine covers document processing, natural language processing, electro-optical imagery, infrared feeds, and full motion video workflows.
Is Scale AI free to use?
Scale AI does not publish self-serve pricing. Organizations contact Scale through the demo request page to discuss custom enterprise contracts tailored to labeling volume, modality mix, and evaluation scope.
Who uses Scale AI?
Scale AI serves AI labs, Fortune 500 enterprises, and government agencies. Published customer logos include Meta, Cohere, Adept, Cisco, Instacart, Pinterest, and TIME.
Where is Scale AI headquartered?
Scale AI is headquartered in San Francisco, California. The company was founded in 2016 and reports more than 1,000 employees on its About page.
What products does Scale offer?
Scale offers the Scale Data Engine for collection and annotation, the Scale GenAI Platform for generative AI workflows, and Scale Donovan for defense intelligence. Solutions also target enterprise, insurance, healthcare, and public sector buyers.