About Unstructured Technologies

Unstructured Technologies is an AI data processing platform that converts messy, unstructured data (like PDFs, emails, web pages, and documents) into clean, structured data that can be used by AI systems. It is mainly built for companies developing AI applications, especially large language models and retrieval-augmented generation (RAG) systems. The platform helps organizations prepare raw data so AI tools can understand and use it effectively.

Platforms:

Feature Highlights

Use Cases

Common
Uncommon
Description
Preparing enterprise documents and PDFs for AI-powered search systems
Building RAG-based AI applications using company knowledge bases
Processing emails, reports, and internal files into structured datasets
Helping AI models retrieve accurate information from large document collections
Supporting data pipelines for machine learning and generative AI systems
Enabling enterprise search engines that understand unstructured content