FlightEdge delivers real-time AI-powered failure prediction for tactical aviation—where connectivity cannot follow.
Centralized models trained on fleet-wide data fail to capture platform-specific degradation patterns, leading to missed failures and false alarms.
Round-trip data transmission to cloud infrastructure introduces unacceptable delays for time-critical maintenance decisions in contested environments.
Continuous telemetry streaming generates substantial recurring cloud costs that scale poorly across the tactical aviation fleet.
These constraints result in reactive maintenance, increased unscheduled downtime, and reduced fleet readiness—directly impacting sortie generation rates.
Purpose-built for disconnected, denied, and austere environments
ML models execute directly on embedded hardware, delivering sub-second Remaining Useful Life (RUL) predictions without network connectivity.
Alibi Detect monitors incoming sensor streams against training baselines, automatically triggering model fallback when PSI/KL thresholds are exceeded.
SHAP-based feature importance explanations enable maintainers to understand why predictions are made, building trust and supporting informed decision-making.
Three-zone architecture with hardware data diode ensures zero data exfiltration. Keycloak SSO with CAC/PIV authentication enforces role-based access control.
Katib hyperparameter optimization on platform-specific data eliminates fleet-wide model bias that plagues centralized systems.
Transform raw sensor telemetry into maintenance decisions—not dashboards full of data nobody can act on.
Contact us to discuss FlightEdge deployment for your aviation sustainment mission.
