PAiGE

PAiGE helps analysts make sense of large volumes of information coming from many different sources at once. The living intelligence connects the entities, relationships, and events found across those sources into one coherent picture, and keeps a record of where each piece came from so any conclusion can be traced back to its origin.

From there it looks for patterns and emerging changes that a person working file by file would likely miss, which cuts the time to a defensible assessment.

PAiGE is at initial operational capability with the Air Force, where it supports Target System Analysis for deliberate targeting. Analysts use it to build and maintain the picture of a target system that operational planning depends on - the entities, networks, dependencies and critical nodes that determine how a system functions and where it is vulnerable. That analysis has historically been slow and document-bound, with each new product reconstructing context that already existed somewhere in the enterprise. PAiGE holds that context in one place and keeps it current, so an assessment reflects what is known now rather than what was true when the last document was published.

Because every entity, relationship and event carries its provenance, an analyst can show where a judgment came from and a reviewer can follow it without rebuilding the work. That matters more as more of the analysis is automated: a machine-generated recommendation is only usable in operational planning if it can be traced to authoritative source material and defended in review. PAiGE is built to meet that standard in accredited environments, and the same approach maps cleanly to commercial fraud, risk, and competitive-intelligence teams working the same problem with different data.