01
Observe
Multi-source evidence
EO, SAR, fixed wing, drone and ground capture establish complementary views of the operating environment.
NOWAperio GlobalReality Engine Overview
From spatial evidence to trusted action.
Reality Engine makes heterogeneous evidence spatially coherent. CLF governs its fitness for decision. NVIDIA technologies form a target pathway for simulation and future autonomy.
02
Reality Engine
Spatial intelligence
Register, reconstruct, segment and enrich source evidence while retaining geometry, time and lineage.
NOW03
CLF
Trust and governance
Express provenance, confidence, accuracy, policy and fitness for the decision at hand.
NOW + NEXT04
Simulate + train
Physical AI readiness
Validate OpenUSD, Omniverse and Isaac workflows for simulation, synthetic sensing and perception development.
VALIDATE05
Deploy + act
Human and machine action
Deliver decision support now; advance edge inference and autonomous operations only against a defined mission requirement.
MISSION GATEDMission value
Detect changeCharacterizeMeasureReconstructSimulateRehearseInform action
Claim discipline
Confirmed: capture, reconstruction and resolution characterization. Validate next: segmentation export, OpenUSD conversion and simulation ingestion. Mission gated: autonomous inference and control.
Recommended next step
Select one mission, one AOI and one collection mix for a 60–90 day validation pilot.
NVIDIA-aligned target pathway. This visual does not assert NVIDIA validation, endorsement or a deployed autonomous control capability.