Nextria CastleGuard
Secure Metadata Document Extraction
Extract titles, authors, summaries, and extracts easily from any document.
Customer Profile
The Director General Military Personnel Research and Analysis (DGMPRA) is a pivotal division within the Canadian Department of National Defence. DGMPRA is responsible for conducting comprehensive research and analysis on various aspects of military personnel, including psychological health, personnel management, and operational effectiveness. The department’s work is crucial for informing policy decisions, improving military personnel practices, and ensuring the overall well-being of the Canadian Armed Forces.
The Challenge
DGMPRA faced a significant challenge with their vast archive of scientific papers and journals, all stored in PDF format. This archive, accumulated over years of research, contained invaluable information crucial for ongoing and future studies. However, the lack of a collated and searchable database meant that accessing specific information required manually going through thousands of documents. This process was not only time-consuming but also resource-intensive, demanding thousands of man-hours that could be better spent on active research and analysis.
Public large language models (LLMs) were not an option due to the sensitive nature of the publications, necessitating an on-premise solution without reliance on internet-based tools. DGMPRA needed a secure, accurate, and efficient method to extract and collate metadata such as titles, authors, abstracts, summaries, and publication dates from these documents.
The Solution: Nextria's CastleGuard AI
DGMPRA turned to CastleGuard AI, a cutting-edge product developed by Nextria, known for its robust and secure LLM chat and Q&A interface designed for closed, highly secure networks. Using CastleGuard AI’s Large Language Model API, DGMPRA’s team was able to rapidly create a custom PDF metadata extraction application. This application was developed within a day, showcasing CastleGuard AI’s flexibility and ease of use.
Implementation and Results
Within a week, the application processed over 80% of the archived documents. The metadata from these documents was extracted and exported to an Excel spreadsheet, making it easily searchable and usable by DGMPRA’s research scientists. The swift extraction and collation process meant that older scientific journals, previously difficult to access, were now readily available for research, significantly enhancing the department’s efficiency and productivity.
Benefits Realized
Time Efficiency
The solution saved thousands of man-hours by automating the metadata extraction process.
Security
CastleGuard AI operated entirely on-premise, ensuring that sensitive information remained secure and was not exposed to internet-based risks.
Accuracy
The LLM’s capabilities ensured that the metadata was extracted accurately, preserving the integrity of the scientific information.
Accessibility
Researchers gained easy access to a vast repository of knowledge, facilitating better-informed decisions and more comprehensive analyses.Conclusion
CastleGuard AI proved to be an invaluable tool for DGMPRA, solving a significant challenge quickly, accurately, and securely. By enabling efficient metadata extraction and collation, CastleGuard AI has empowered DGMPRA to maximize the utility of its archived scientific research, ultimately contributing to more informed and effective military personnel policies and practices.
To learn more about how CastleGuard AI can transform your organization’s document management and research capabilities, contact us at Nextria. Discover how our advanced, secure, and efficient solutions can meet your unique needs and drive your success.