Generating topics for a large content library to increase discoverability using NLP
To create a usable library from a massive number of sources, a globally-respected institute of higher education needed to create metatag topics users can search. This caused a bottleneck as SMEs had to manually review all of them. Primer’s solution was a Topic Text2Text model that automatically generates appropriate topic tags for any given article. This case study details how Primer used their pre-trained models and AI training infrastructure to turn unstructured data into structured data and solve the problem.
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Primer Enterprise
Informed, defensible analysis
Primer Enterprise is a secure AI platform that helps analysts and mission teams across the Intelligence Community, Defense, and Civilian agencies analyze massive volumes of unstructured data. It transforms fragmented reports, proprietary data, and open-source information into structured, traceable insight that supports faster, defensible decision-making.
Primer Command
Real-time operational clarity
Primer Command is an AI-powered monitoring platform that helps mission teams keep track of narratives, track evolving topics, and detect emerging threats across global news and social media. It provides real-time visibility into the information environment so leaders can understand events as they unfold.
Primer API
AI in your systems
The Primer API brings Primer’s analytic capabilities directly into your existing systems and workflows. Teams can embed advanced search, advanced extractions, AI-assisted analysis, claim-level verifications, and source-grounded summaries into mission applications to accelerate knowledge discovery, analysis workflows, deep research, situational awareness, and reporting.
