Case Study: Scale AI powers secure, scalable document workflows with Reducto

A Reducto Case Study

Preview of the Scale AI Case Study

Scale AI powers secure document workflows with Reducto for $29 billion-scale growth

Scale AI, a company known as the data layer for AI, faced a significant challenge in processing complex, sensitive government documents for its Donovan agentic AI platform. Their previous homegrown document-processing approach required manual engineering for each new file type, which was inefficient and could not scale to meet the demands of their public sector customers. They turned to vendor Reducto for a secure and robust solution to handle this unstructured data.

Reducto provided a unified document-processing foundation, primarily through its Parse endpoint, to transform messy documents into clean, high-quality text chunks for use in Retrieval-Augmented Generation (RAG) applications. Crucially, Reducto supported a secure on-premises deployment that met strict government requirements for air-gapped environments. This solution from Reducto enabled Scale AI to accelerate its workflow support, improve the accuracy of its RAG applications, and confidently expand its agentic offerings into complex, document-heavy verticals.


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