• Leverage FlightEdge for orchestrating decentralized Probabilistic Time Series Forecasting machine learning (ML) tasks across remote devices using Federated Learning principles to extend the life of critical landing gear components with our decentralized computing platform to process existing sensor data. [Learn More]

  • Tailored solutions that harness cutting-edge open-source or proprietary models for mission-critical applications. Trust AtomicOps to anchor your AI operations with reliability and cost-efficiency, so you can focus on what matters most—your core mission.

  • ThunderBolt is an on-premise, Retrieval Augmented Generation (RAG) software assurance agent that delivers real-time airworthiness and cyber compliance advice to flight software developers. [Learn More]

Delivering Innovative Solutions for Defense Capability Gaps

SBIR Phase II — Air Force Digital Transformation Office

Predict Failures Before
They Ground Your Fleet

FlightEdge delivers edge-native AI for predictive maintenance—real-time failure predictions at the aircraft, without cloud connectivity, where every millisecond counts.

New
FlightEdge Phase II development underway with 309 SWEG Learn More

Edge AI That Changes
How Maintenance Gets Done

Predict Failures 10x Faster

Sub-second RUL predictions at the aircraft eliminate cloud round-trip delays that cost critical maintenance time.

Air-Gapped by Design

Three-zone security architecture with hardware data diode. Zero data exfiltration. IL5+ ready.

Operate Without Connectivity

Full inference capability at the tactical edge—expeditionary, contested, and austere environments.

Eliminate Model Bias

Platform-specific tuning via Katib AutoML—predictions calibrated to each aircraft's unique profile.

Say Goodbye to Cloud Dependency

AI That Works Where
Connectivity Cannot Follow

⚡
Edge-Native Inference

FlightEdge Core

Sub-Second Predictions
At the Aircraft

Deploy trained ML models directly to embedded edge devices. FlightEdge delivers Remaining Useful Life predictions in milliseconds—no network required, no cloud latency, no connectivity dependency.

KServe inference on NVIDIA Jetson / DGX Spark
Real-time sensor stream processing
Blue/green model deployment with instant rollback
See It In Action

Secure Training Pipeline

Air-Gapped ML
Without Compromise

Train and optimize models in fully disconnected environments. Our three-zone architecture ensures sensitive maintenance data never leaves the secure perimeter while delivering production-grade ML capabilities.

Kubeflow orchestration with Katib AutoML
Hardware data diode for one-way data transfer
NIST 800-53 security control alignment
View Architecture
🛡️
Air-Gapped Pipeline
🔍
Explainable Predictions

Trusted Intelligence

AI Decisions
Maintainers Can Trust

Black-box predictions don't build confidence. FlightEdge delivers SHAP-based feature importance so maintainers understand exactly why predictions are made—which sensors contributed, what thresholds triggered alerts.

SHAP feature importance visualizations
ExplainerDashboard for prediction interrogation
Audit trails for every recommendation
Learn About XAI

Mission Impact,
Measured.

30-40%
Reduction in Unscheduled Maintenance

Predictive maintenance shifts from reactive to proactive, catching failures before they cause unscheduled downtime.

95%
Target Aircraft Availability

Mission-capable rates improve when maintenance teams can anticipate component degradation and schedule repairs proactively.

<1s
Prediction Latency

Edge inference eliminates cloud round-trips, delivering real-time failure predictions where every millisecond counts.

Ready to Transform
Maintenance Operations?

See how FlightEdge can deliver predictive intelligence at your tactical edge.

Frequently Asked Questions

What does Atomic Research do? +

Atomic Research builds edge-native AI systems for predictive maintenance in defense aviation. Our flagship product, FlightEdge, delivers real-time failure predictions directly at the aircraft—without requiring cloud connectivity—enabling maintenance teams to anticipate component failures before they cause unscheduled downtime.

How is FlightEdge different from PANDA and other cloud-based solutions? +

Unlike cloud-dependent systems that require continuous connectivity and introduce latency, FlightEdge operates entirely at the edge. This means sub-second predictions without network round-trips, full capability in disconnected environments, and platform-specific model tuning that eliminates the fleet-wide averaging bias that plagues centralized approaches.

What security certifications does FlightEdge support? +

FlightEdge is designed for IL5+ environments with a three-zone air-gapped architecture. We align with NIST 800-53 security controls, implement Zero Trust principles per NIST 800-207, and use hardware data diodes to ensure zero data exfiltration. Keycloak SSO provides CAC/PIV authentication with role-based access control.

What aircraft platforms does FlightEdge support? +

Our Phase II effort focuses on F-16 turbofan engine health monitoring using CMAPSS data, with integration planned through 309 SWEG. The platform architecture is designed for expansion to other tactical aviation platforms including F-15, F-35, and KC-135. Our platform-specific tuning approach means each aircraft gets predictions calibrated to its unique maintenance history.

How can organizations procure FlightEdge? +

FlightEdge is being developed under SBIR Phase II contract FA860425CB049 with the Air Force Digital Transformation Office. Phase III transition paths include sole-source procurement under 15 U.S.C. § 638, direct integration with AFSC units, and commercial licensing for MRO applications. Contact us to discuss procurement options for your organization.

How can I get started? +

Contact our team to discuss your predictive maintenance requirements and deployment environment. We'll assess your current maintenance data architecture, identify integration points, and develop a deployment roadmap tailored to your mission requirements—whether that's expeditionary flightline operations, depot-level sustainment, or contested logistics scenarios.