The Stack That
Survives
Everything

Multi-agent system architectures, behavior trees, and Model Predictive Control frameworks form the decision-making backbone. Reinforcement learning pipelines for adaptive behavior in unstructured terrain. All AI development prioritizes edge deployment — cloud is not an option when comms are denied.

Computer vision, LiDAR/radar integration, and state estimation for reliable data pipelines in extreme conditions — underwater, subzero, dusty, or GPS-degraded environments. Drawing directly from Caterpillar-era sensor fusion work on 775 mining trucks. Real-world calibration, not just lab benchmarks.

RTOS development, hardware abstraction layers, and edge AI deployment on NVIDIA Jetson Orin and custom FPGAs for low-latency control in resource-constrained field setups. The constraint isn't compute — it's determinism. Systems that respond in microseconds regardless of what else is happening.

Safety-critical standards including STPA hazard analysis, ISO 26262, MIL-STD-882, and DO-178C for airborne software. The founder's direct V&V experience at Caterpillar — running HIL test benches on fully autonomous mining trucks — is the differentiating credential in this domain. V&V is not the afterthought. It is the product.

Kinematic and dynamic models, LQR/PID controllers, and terrain interaction simulations tailored for submarines, rovers, eVTOLs, and ground vehicles. The physics are different in every domain — the design methodology isn't. Build the model. Validate the model. Trust the model under the conditions that matter.

MOSA (Modular Open Systems Approach)-compliant designs enable interoperability across defense platforms. Human-machine teaming frameworks and counter-autonomy measures — jamming resistance, GPS-denied navigation, RF-silent operation — are core design principles, not add-ons. Built for contested environments from day one.