The multi-INT fusion platform that goes beyond tracks on a map.

The Problem

Sensors produce fragmented, overlapping, and sometimes conflicting data. Greedy association picks the best match per detection independently, which means the first detection processed gets the best track and the last gets whatever is left. In a dense environment with dozens of targets and multiple sensor types at wildly different accuracies and update rates, order-dependent matching produces cascading mis-associations. Add spoofing, jamming, and sensor dropout to the mix and most fusion systems fall apart. Operators end up reconciling phantom tracks instead of making decisions. But a track is not a decision. Knowing where 30 objects are tells you nothing about whose they are, what they form, what they intend, or what you should do before the window closes. Most "fusion" tools resolve objects and hand the operator a denser map - more dots, same questions. The harder problem is everything above the track: correlating the object to its identity and its owner, assembling objects into a situation, projecting the situation into consequence, and turning that into an action a team at the edge can take without reaching back to a classified enclave they may not have. That is the gap. The big platforms sell the top of this stack as a national-tier, classified capability. The team that actually has to act rarely has it.

Who Has This Problem

Key Workflows

Capabilities

Platform Integration

Fusion is the spine of the platform - the Make Sense layer between Sense (the sensor and source domains) and Act (the Policy Engine, the decision layer, and the agency relationships that carry action authority). Every domain feeds it: EMSO emitter tracks, SSA satellite passes, Narrative Intelligence campaign signals, Digital Force Protection anomalies, Threat Finance & Entity Resolution ownership findings, and environmental confidence modifiers from WEIS. Every domain consumes its output: the COP renders fused tracks with provenance, the Policy Engine evaluates compound conditions across all fused data, and the simulation engine stresses the same pipeline with synthetic scenarios. Fusion is not a feature of the platform. It is the platform.