Flight Management

The technology we developed was designed to take the Pilot Out of The Loop (POOL™).

The flight management system will be used by the following types of customers: Military, Homeland Security, U.S. Government, Agriculture, Package Delivery, Food Delivery, Utilities, Infrastructure inspection, Advanced Air Mobility, 911 Call Centers, Police, Fire, and Search and Rescue. Additionally, there is software which can be loaded onto the UASs onboard processor, or we can provide a separate processor for integration with any UAS/UAV aircraft manufacturers flight controller/autopilot system.

There are three patents we have licensed from NASA that are being integrated into the FLITE Core™ system, UTM, Sense and Avoid, and Ground Collision Avoidance (CFIT) which will add a tremendous amount of extra safety measures.


We are continuing advanced weather development with the University of North Dakota to utilize (AI) artificial intelligence and (ML) machine learning with our intelligent flight planning and flight operation system FLITE Core™.

FLITE Core™ will be used to intelligently plan a UASs flight taking into account air traffic, weather, terrain, buildings, obstacles, airspace, and other items required to complete a flight plan all without pilot input.

This is a totally autonomous function that will make decisions whether to begin the flight, re-route it, or state it is not safe to fly. It has the ability to lay waypoints around structures and catalog the flight path in order to create a preferred routing structure. Once the flight plan is accepted by the pilot, it can be uploaded to the UAS for execution. A single pilot can operate numerous UAS/UAVs and risk is nearly eliminated by the autonomous functionality of the AI/ML control.


During a flight the system will monitor in real-time other manned and unmanned aircraft traffic, weather along the route, system data such as servo temperatures, engine date, etc to determine if a potential caution alert is pending, or if an emergency exists. Emergencies can be handled and mitigated autonomously by the system, or by direct pilot intervention.

Monitoring the real-time weather will prevent higher flying UAS/UAVs from penetrating airspace which may cause structural icing. A warning will be triggered to gain the pilot’s attention to determine a course of action. The system can mitigate the risk autonomously should the pilot not react quickly enough.