The USDC
Autonomy Stack

Five layers of integrated software and hardware engineered for sub-50ms decision latency in GPS-denied, comms-degraded, adversarial environments.

Mission
Command

High-level orchestration. Operators define mission intent — perimeters, no-go zones, rules of engagement — and the system translates them into autonomous behavior across the fleet.

Mission Planner

Drag-and-drop mission authoring with terrain-aware route optimization, threat overlays, and rule-of-engagement scripting. Plans validate against airspace and regulatory constraints in real time.

AI &
Perception

Multi-modal sensor fusion — EO/IR, LiDAR, RF, and acoustic — feeding adversarially-trained perception models. Detection, classification, and intent inference run on-platform.

Object Detection

Real-time identification of personnel, vehicles, and aircraft at ranges exceeding 4km optical, 12km thermal.

Threat Classification

Behavioral analysis distinguishes hostile patterns from civilian activity with continuous confidence scoring.

Sensor Fusion

Bayesian fusion across optical, thermal, RF, and acoustic streams maintains track continuity through occlusion.

Scene Understanding

Semantic mapping of environmental context — terrain, structures, civilian density — informing mission decisions.

Security

Hardened from silicon to ground station. Secure boot, encrypted storage, FHSS+AES-256 datalinks, and tamper-detection circuitry across every platform.

Secure Boot

Hardware root-of-trust verifies every byte of firmware before execution. Tamper attempts trigger zeroization.

Encrypted Comms

AES-256 over frequency-hopping spread spectrum. Suite B compliant. NSA Type-1 variant available.

Air-Gap Mode

Disconnected operation with delayed encrypted sync. No persistent comms required for mission completion.

Anti-Tamper

Physical and logical tamper response. Mission data zeroized within 800ms of intrusion detection.

Engage

Schedule a
Technical Briefing

Cleared engineering teams available for deep-dive sessions covering integration, security model, and platform internals.