Intelligence challenges don't present themselves as, "Here, you might want to know about this." Instead, analysts employ a range of tools to sift through big data to try to find out about items, people, events, and situations that need further investigation. The pressure to not miss anything significant is extreme. But how do you find what you don't know about?
CAAT's powerful analytics software goes beyond the simple keyword and Boolean logic searches that power most search and analytics solutions. CAAT is engineered to identify concepts and relationships as it performs its indexing function. The more documents or big data that CAAT reads, the more it actually learns. As the software reads more and more relevant documents, it fleshes out obscure relationships and concepts.
Enabling an analyst to zero-in on what's important, relevant, and related alters the intelligence paradigm. CAAT can automatically group or organize information by how conceptually related and relevant it is to other information, identifying new patterns that were previously invisible to an analyst. Its patented mathematical algorithms can identify these relationships to a 5th order.

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