Predictive Inertial Navigation Powered by Machine Learning.
Reliable navigation where GPS fails — even in contested, jammed, or GPS-denied environments.
Vectra is a next-generation navigation technology that reconstructs a GPS-equivalent signal using onboard inertial sensors, flight-control inputs, and an embedded AI model. Designed for defense-grade unmanned systems requiring resilient positioning.
Drones fail when satellites disappear.
Modern unmanned systems rely almost entirely on GNSS. In contested environments, this becomes a single point of failure.
When GPS fails, drones lose navigation, stability, and mission capability**.**
Vectra exists to close this gap.
A plug-in module that emulates GPS — without satellites.
Vectra is a compact hardware add-on containing:
Vectra’s machine-learning model analyzes:
It then reconstructs a GPS-equivalent position signal, which can be fed directly into any flight controller using standard protocols.
Vectra is not designed to replace satellite navigation.
It is engineered to bridge the gap during outages with near-GPS-level performance.
Traditional inertial navigation drifts because errors accumulate.
Vectra uses AI to predict motion patterns and correct that drift in real time.
Vectra is currently in active prototype development.
The goal is to achieve performance on par with standard GNSS in typical drone operations.
The system is engineered for short-term GPS-denied missions, not infinite inertial navigation.
Satellite independence.
Mission continuity.
AI-powered precision.
Navigation beyond GPS.