Four missions. One perception layer.
Each archetype starts from the operator's question and ends at the decision. AgileView perception is the substrate that turns one into the other.
“What changed at this port?”
Persistent vessel classification, configuration, and posture across revisits — AgileView resolves what is present, what is ready, and what shifted since the last pass.
“Is preparatory activity building?”
Support-equipment clustering, posture shifts, TEL counts — AgileView turns subtle preparatory indicators into a calibrated warning signal an analyst can act on.
“What assets are present — and ready?”
Fine-grained classification, platform counts, and readiness state — AgileView assembles them into a force assessment that survives operational scrutiny.
“What does the fused picture imply?”
Structured perception outputs fused with SIGINT correlates and open-source context — AgileView is the substrate beneath confidence-weighted multi-INT decision support.
“What changed at this port?”
Persistent vessel classification, configuration, and posture across revisits — AgileView resolves what is present, what is ready, and what shifted since the last pass.
How AgileView perceives, structures, and routes this scenario.
“What changed at this port?”
- vessel subtype
- deck configuration
- movement vector
- confidence per object
- port-state alert
- trend over revisit window
- catalogued observations
Port-state delivered into GXP and ArcGIS.
The maritime monitoring agent produces a structured port-state observation per revisit: typed vessel, configuration, posture, and change-delta — routed as a first-class feature into the systems analysts already use.
1.2K
94%
24H
GXP · ARCGIS
Validated maritime performance shown in the homepage proof section; figures reflect operational evaluation against IC criteria.
“Is preparatory activity building?”
Support-equipment clustering, posture shifts, TEL counts — AgileView turns subtle preparatory indicators into a calibrated warning signal an analyst can act on.
How AgileView perceives, structures, and routes this scenario.
“Is preparatory activity building?”
- support-equipment clustering
- posture state shifts
- TEL count + heading
- warning signal
- analyst triage queue
- tasking recommendation
From indicators to warning, with calibrated confidence.
AgileView produces an indications-and-warning observation with the underlying perception components attributed — so analysts see why the system is calling it, not just that it is.
2.4H
91%
<4%
ANALYST QUEUE
Calibrated confidence at the action threshold. Performance figures reflect AgileView's validated long-tail evaluation against operational criteria.
“What assets are present — and ready?”
Fine-grained classification, platform counts, and readiness state — AgileView assembles them into a force assessment that survives operational scrutiny.
How AgileView perceives, structures, and routes this scenario.
“What assets are present — and ready?”
- fine-grained classification
- platform counts by revetment
- readiness state
- force assessment report
- delta vs last cycle
- confidence band
Force assessment, ready to brief.
Counts and readiness state at platform sub-class — delivered with the confidence band intact, so the command sees both the call and the uncertainty around it.
94%
89%
<5MIN
GXP · BRIEF
Reported figures reflect AgileView's long-tail evaluation on overhead EO. Performance is consumed identically by any downstream foundation model stack.
“What does the fused picture imply?”
Structured perception outputs fused with SIGINT correlates and open-source context — AgileView is the substrate beneath confidence-weighted multi-INT decision support.
How AgileView perceives, structures, and routes this scenario.
“What does the fused picture imply?”
- structured perception outputs
- SIGINT correlates
- open-source context
- accelerated decision support
- confidence-weighted brief
- cross-INT attribution
A brief that is auditable end to end.
Every line in the brief traces to the perception output and INT correlate that drove it — so the consumer sees the call, the confidence, and the corroboration.
0.84
<3MIN
100%
J2 · ANALYST
Multi-INT fusion is only as good as the perception layer underneath. AgileView's structured outputs make EO a first-class peer to SIGINT and SAR.