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Managing large volumes of documents, especially unstructured data, is a complex and time-consuming process. Manual extraction and classification of document content are prone to human error, inefficient, and costly. Organizations often struggle with ensuring compliance, maintaining consistent quality, and providing fast access to essential information across a diverse range of document types, from contracts to technical papers.
DAQUMA AI: Document Intelligence provides an AI-powered solution that automates the extraction, classification, and labeling of document content, significantly reducing manual effort and errors. Our solution extracts key attributes and organizes unstructured data to ensure compliance, enhance searchability, and improve operational efficiency. By automating the document processing workflow, organizations can streamline data management, improve the speed of information retrieval, and maintain consistent quality across all documents.
In the Life Sciences industry, the ability to quickly retrieve and organize documents is critical. DAQUMA AI: Document Intelligence addresses these needs by automating the identification of key document attributes such as study names, product references, regulatory classifications, or applying relevant labels, and customizing the solution to industry-specific requirements. The solution’s ability to learn from labeled content allows it to continuously improve, increasing accuracy over time and reducing manual intervention by up to 80%.
Automatically detect key document attributes like document type, language, and structure, ensuring accurate and efficient classification.
Organize documents with user-defined labels based on their content, improving searchability and classification across document types
Tailor AI models to recognize industry-specific terminology and document formats, enabling continuous optimization of document management.
Reduced Manual Effort
Enhanced Compliance
Faster Access & Retrieval
Cost Reduction
Continuous Improvement
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