Scale Data Engine

Scale GenAI Platform, or Scale GP, is the platform to build optimized Generative AI applications. Developers can test models and applications, implement advanced RAG pipelines, and fine-tune models to optimize performance. The platform aims to help accelerate time to production and is used to scale Generative AI use cases across organizations.

Optimizing LLMs starts with enterprise data. Scale AI lets users connect popular data sources and transform data with the Scale Data Engine to implement optimized RAG pipelines and models fine-tuned for any domain-specific tasks. Then, users can customize, test, and deploy all major closed and open-source foundation, embedding, and reranking models from OpenAI, Google, Meta, and others.

Scale AI also builds, evaluates, and deploys Generative AI solutions to drive business value by offering prebuilt applications powered by enterprise data. These prebuilt apps support various use cases, such as handling customer service issues, automation customer retention treatments, and breaking down financial data into insights.

And for machine learning teams, the Scale Data Engine helps speed the development of in-house models. Scale can provide the core tenet of any dataset with labels from domain experts. Developers can find, categorize, and fix model failures with Scale’s Data Engine. Then, optimize labeling spend with high-value curated data. Scale's data engine can support any ML project from lower-volume experiments to high-volume production projects. Users can scale up, or down, as needed.