If your organization has a vast amount of information contained in PDFs accumulated over the years and doesn’t know how to make the best use of them, you might find it useful to know that there is now a simple and fast way to utilize them.
Until now, PDFs with complex layouts or containing only images have been difficult to analyze using traditional methods. It is estimated that about 80-90% of global organizational data lies in the form of unstructured information within documents. To read these PDFs, it was necessary to use optical character recognition (OCR) software to transform them into usable data, a particularly challenging task when dealing with dated documents or those including handwritten text. Unlike traditional OCR, large language models (LLMs) with visual capabilities analyze documents with an almost human approach, recognizing relationships between visual elements and understanding contextual nuances. The architecture allows the use of open-source LLMs installed locally, configurable with specific fine-tuning to ensure that no sensitive data goes beyond the company perimeter, eliminating the risks of SaaS services that do not offer this level of control.
Ex Machina has created COSMO42, an AI platform that transforms your document repository into an important resource and value by going beyond simple digitization, analyzing archives to extract structured knowledge, and creating personalized digital assistants. The solution natively integrates existing IAM systems, with granular role control that ensures selective access to information based on user permissions. This context-based approach allows for better management of complex layouts, interpretation of tables, and distinction between document elements such as headers and body text.
The system operates in a completely secure mode: all processing takes place within the company infrastructure without external transmission of data, preserving know-how and industrial secrets through a Retrieval Augmented Generation (RAG) model that keeps the original documents in the protected repository. But COSMO42 doesn’t stop at PDFs; in fact, it can analyze any viewable format, for example, text files, photographs, videos, receipts, handwritten notes, thus creating a living archive that can be easily consulted in a natural way by asking for information both textually and vocally.
With COSMO42, you can quickly find precise information in thousands of documents, get suggestions based on your historical data, and reduce manual data extraction work in various fields, public administration, universities, libraries, finance, and publishing houses. The GDPR-compliant architecture ensures maximum privacy protection, making the platform ideal for organizations that handle sensitive data or are subject to stringent regulations.
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