Data Engine
Collect, curate, and annotate data. Train models and evaluate. Repeat.
The Best In The Business
The Scale Data Engine is trusted by the world’s leading ML teams to accelerate the development of their models. The scale of our operations, experts and quality is unmatched in the industry.
Quality
Scale can provide the core tenet of any dataset with high-quality labels from domain experts.
Cost Effective
Easily find, categorize, and fix model failures with Scale’s Data Engine. Then, optimize labeling spend with high-value curated data.
Scalability
Scale's data engine can support any ML project from lower-volume experiments to high-volume production projects. Scale up, or down, as needed.
Diversity
Scale delivers the greatest variety and diversity of data to help deliver the greatest value to your model performance.
Quality
Scale can provide the core tenet of any dataset with high-quality labels from domain experts.
Cost Effective
Easily find, categorize, and fix model failures with Scale’s Data Engine. Then, optimize labeling spend with high-value curated data.
Scalability
Scale's data engine can support any ML project from lower-volume experiments to high-volume production projects. Scale up, or down, as needed.
Diversity
Scale delivers the greatest variety and diversity of data to help deliver the greatest value to your model performance.
Learn More About Our Customers
Powering Frontier AI
Next Generation AI powered by world-class data.
Generative AI
Powering the next generation of Generative AI
Scale Generative AI Data Engine powers many of the most advanced LLMs and generative models in the world through world-class RLHF, data generation, model evaluation, safety, and alignment.
The One-Stop-Shop For Building AI
Data engine is the process of improving machine learning models with high quality, diverse and large datasets powered by experts. Unlock model performance with the Scale Data Engine.
Generation
After initial pre-training, create complex prompt-response pairs from scratch.
RLHF
Apply human preferences to model outputs.
Red Teaming
Use prompt injection techniques to find vulnerabilities.
Evaluation
Evaluate your model against a set of complex and diverse prompts to find weak points.
