Organizations struggle to efficiently manage and extract insights from the vast amounts of unstructured data contained within documents, leading to wasted time, missed opportunities, and difficulty in making data-driven decisions. Traditional methods of document analysis are often manual, time-consuming, and prone to errors.

Entropia's Documentalist™ is an information management solution designed to organize, search, and analyze unstructured data by converting it into structured formats and automating analysis workflows. The platform allows users to organize, deduplicate, and label files with custom rules, enabling efficient knowledge management. Documentalist™ also facilitates semantic searching, allowing users to find relevant document passages regardless of language. The solution enables users to extract structured information from unstructured data, process custom schemas, and scale to millions of documents daily, while maintaining data privacy and security.

Converts unstructured files into markdown, extracting both content and structure.

Allows users to define custom questions and output formats for tailored analysis.

Processes hundreds of thousands of documents daily.

Employs semantic search to locate document passages relevant to any question, irrespective of language.

Organizes, deduplicates, and labels files using custom rules.

Provides explainable and traceable outputs, linking insights back to the source document.

Documentalist™ targets organizations across various industries, including legal, retail, tax advisory, and human resources, that need to efficiently manage and analyze large volumes of unstructured documents.