Dominate adversaries
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Automated Decision Support:
Deliver advanced EW strike planning analytics even in bandwidth-constrained environments.
Integrate structured, semi-structured, and unstructured data from multiple sources, expanding the surface area of analytic data while increasing throughput, reliability, and computation speeds to interactive levels of performance, enabling interactive “what-if” analysis by planners and mission managers.
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CONTEXTUAL INTELLIGENCE FUSION:
Correlate events with adversary movement or logistics patterns.
Train models to reason across battlespace domains. Integrate multi-source and multi-format data using graph technology to reveal cross-domain relationships and connections.
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TARGET NETWORK MAPPING:
Identify a previously unseen command structure based on encrypted signal traffic flow.
Integrate structured, semi-structured, and unstructured data from multiple sources, expanding the surface area of analytic data while increasing throughput, reliability, and computation speeds to interactive levels of performance, enabling interactive “what-if” analysis by planners and mission managers.
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DYNAMIC THREAT MODELING
Predict and preempt signal jamming attempts based on shifting RF spectrum usage patterns.
Continuously monitor and score threat likelihood by analyzing proximity, signal shifts, or co-occurrence in graph space.
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LINK ANALYSIS & PATTERN RECOGNITION:
Detect a change in communication hierarchy to reveal imminent adversary activities.
Build and analyze links across time, geography, and channels - radio frequencies, metadata, and physical movements.
Reinvesting the analyst’s expertise and energy away from screen-watching and onto more exquisite tasks is a combat multiplier.
Gen. Richard D. Clarke
Big Data at War
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RealmOne’s Foundry Research and Development Lab has delivered dozens of advanced analytic solutions to the mission. Let us demonstrate — give us your hard problems and we’ll engage our team and extensive network of technology partners to demonstrate solutions.
