Built for hard targets.
One perception layer, tailored to the audiences that depend on it — from intelligence community analysts to the frontier model labs training the next generation of vision systems.
Analytic depth at IC classification depth.
General-purpose models stop at the surface: vessel, vehicle, building. The analyst needs the next level — which hull, which configuration, what state, what changed. AgileView produces structured perception outputs at that depth and routes them as first-class observations inside GXP Xplorer, SOCET GXP, GXP Fusion, and ArcGIS — already running on classified networks.
- 01ANALYTIC DEPTH
Sub-class identification, configuration state, posture, and change indicators — not just detection.
- 02GXP / ARCGIS DELIVERY
Outputs surface as first-class features inside the exploitation environments already in production use.
- 03CLASSIFIED-NETWORK READY
Isolated VPCs, encrypted at rest, ready for the classified-network deployments analysts work in.
Model readiness on program timelines.
Program offices need perception that survives contact with the operational world — not just accuracy on a held-out test set. AgileView delivers structured benchmark reports against long-tail targets, off-nadir geometry, haze, and the failure modes that show up on milestone reviews. Pass/fail is scored against operational criteria, on the timeline your program is running.
- 01RIGOROUS T&E
Repeatable benchmarks against rare-target and failure-mode suites that mirror operational conditions.
- 02MILESTONE-ALIGNED
Delivery aligned to PDR / CDR / IOC cadences — not a research timeline.
- 03OPERATIONAL CRITERIA
Scored on the thresholds the program actually has to meet, not generic accuracy metrics.
The fine-tuning layer that makes frontier models IC-grade.
Vision transformers pre-trained on web imagery have almost never seen overhead EO at IC depth. AgileView is the layer that closes that gap — training attention on the discriminating features that determine real classification: hull configuration, deck layout, equipment clustering, mast profile. Stays model-agnostic so your foundation model investment compounds, not competes.
- 01FINE-TUNING LAYER
Trains attention onto the discriminating features that pre-training never saw.
- 02MODEL-AGNOSTIC
Any foundation model stack — closed, open, multimodal — consumes AgileView outputs equally.
- 03IC-GRADE OUTPUTS
Sub-class, configuration, and state at classification depth — not generic detection.
Ready for the environments that matter.
Isolated VPCs, encrypted at rest. Classified-network ready.
Outputs available in GXP Xplorer, SOCET GXP, and GXP Fusion — the systems IC and DoD analysts use daily.
Routed into exploitation environments already in production use.
Containerized for disconnected and forward-deployed operations.