The engineering stack.

Our work is software-first, validated on real hardware. This page outlines the engineering disciplines behind the Sahtune environment and the KX platforms. We keep public descriptions at a high level and do not publish design files, model weights, autonomy logic, or restricted technical data.

Edge AI.

Detection and interpretation designed to run on constrained onboard compute, with a matching post-mission processing path. The objective is usable mission information at the edge, not just in the lab.

Autonomy and mission logic.

Mission planning, bounded in-flight autonomy, contingency handling, and a human-in-the-loop decision structure. Predictable, well-defined behaviour is the priority over open-ended autonomy.

Sensor fusion.

Combining cameras, telemetry, GNSS, IMU, range, and payload data into one coherent operating picture, with confidence scoring and graceful degradation when sensors or links fail.

Ground control and operator workflow.

Planning, live telemetry, AI output display, alerts, and structured post-mission review — designed to hand the operator decisions, not raw data.

UAV power and avionics integration.

Power distribution, monitoring, and avionics integration that make the physical system visible to mission software. KX-Power Rail provides regulated power and fault awareness across the platform.

Validation and field testing.