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Ensuring trustworthy AI for Army intelligence and operations

The Army’s use of AI, including Large Language Models (LLMs), offers significant potential, but also introduces risks like hallucinations, or factually unsupported outputs. RAG-Verification (RAG-V) addresses this challenge by automatically fact-checking and flagging unsupported claims in real time. By tracing every statement back to source material, RAG-V builds trust in AI-generated outputs and ensures human users can verify critical information, making AI more dependable for mission-critical applications.

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White Paper

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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.

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Webpage discussing the impact of the global AI chip race on US security in the Pacific, featuring a text summary, an interactive map with numbered locations, and a sidebar with insights and relevant document titles.

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.

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Dashboard showing social media analytics including trending extractions for people, organizations, locations, hashtags, social highlights, sentiment analysis, social feed posts, and news feed about AI chip security concerns and cyber attacks.

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.

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Python code snippet showing HTTP POST requests to create document sets, generate activity graphs, and create entity tables using JSON parameters with document set IDs and filters.

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