Docxonomy is an AI-powered platform designed to process both unstructured and structured data within organizations. It utilizes natural language processing, language generation, and machine learning to analyze diverse data types and extract relevant insights.

Docxonomy

Docxonomy provides an AI-powered platform that processes unstructured and structured data within organizations' networks, using natural language processing and machine learning to analyze various data types and extract insights.

Docxonomy | 486 followers on LinkedIn. AI Driven Insight, Analytics and Search for the Enterprise | Docxonomy is an intuitive AI-powered platform designed for businesses. It effortlessly processes both unstructured and structured data within your organization’s network. With its advanced capabilities in natural language processing (NLP), language generation (NLG), AI, and machine learning, Docxonomy can analyze diverse data types – from Office documents to multimedia and databases.

Founder and CEO at Docxonomy

Bryan Reynolds

Chief Data Officer at Docxonomy

Thomas Kivlehan

AI PDF Data Extraction with doxyflow.ai Discover how rapid advancements in Large Language Models, like OpenAI's GPT, are transforming AI-powered systems. Learn about the challenges and solutions in extracting semi-structured data from PDFs, and how tools like doxyflow.ai from Docxonomy streamline this process. This blog offers valuable insights into enhancing data accuracy and efficiency for innovative AI applications. https://lnkd.in/eNBDK5sZ

Accelerating SOP Management with Content Translation Discover how doxyflow.ai leverages Generative AI to accelerate and simplify content translation and management, saving time and costs. https://lnkd.in/gFU97cdC

Transforming Clinical Documentation: The Power of AI in eTMF and eCTD Court Square Group and Docxonomy have introduced AI-driven solutions, eTMF and eCTD, for managing FDA drug review documentation, significantly reducing manual processing time and enhancing accuracy with machine learning. This technology accelerates decision-making, improves regulatory compliance, and streamlines FDA submissions by automating document classification and metadata extraction, promising a more efficient path to market for pharmaceutical products. https://lnkd.in/ey3Q5J9Y

Revolutionizing Global Labeling Content Generation with AI-Driven Dataflows In the life sciences sector, the process of converting intricate data from core data sheets into crucial documents like US prescribing information guides and SmPC is traditionally time-consuming. To address this, a new solution integrates dynamic dataflows and AI, including Named Entity Recognition (NER) models, to automate and streamline the creation of regulatory documents from proprietary product information. This system features data flows and connectors, AI tools for identifying and categorizing information, controlled templates with rules engines, and robust translation and formatting tools. These components allow for rapid creation of accurate, compliant documents, significantly reducing time-to-market and resource burdens. This transformation ensures that life sciences companies can swiftly adapt to regulatory changes and maintain market competitiveness. https://lnkd.in/ewpV8csY

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