Axis Taps AI To Improve Flight Training Debriefing

Axis Flight Simulation is using artificial intelligence to support flight training with its AI Debriefing Station that lets pilots and their instructors objectively review simulator sessions. The Austrian company, which makes full-flight simulators for several business aircraft types, unveiled the new system on Monday.

According to Axis, the AI Debriefing Station automatically monitors and evaluates pilot performance during training and checks, recognizing flight maneuvers, identifying which pilot is flying, and analyzing aircraft parameters in real time. The company said that this level of automation allows instructors to focus fully on crew behaviour and decision-making in the cockpit while the AI handles the detailed technical assessment.

Axis is able to adapt the system to the specific needs of each approved training organization (ATO). The company said its use will support the adoption of competency-based training and assessment processes for type ratings, standard operating procedures training, and operator-specific evaluation.

According to Axis, by standardizing assessments for all instructors, aircraft types, and fleets, the AI Debriefing Station ensures that every student is evaluated against the same objective benchmark, thereby improving the reliability and fairness of training. After each session, pilots and their instructors receive a detailed data-driven evaluation accessible online on any device.

Training session performance is broken down according to competencies, maneuvers, and observable behaviour, while areas where improvement is needed are flagged. Axis says this approach avoids the need for insights on training sessions to be logged manually through printed or digital reports.

The AI-driven platform is also expected to reduce workload for instructors by capturing data that would otherwise require intense monitoring, allowing them to concentrate on the human factors and decision-making aspects of flight training. Axis believes the technology will help instructors to quickly identify performance shortcomings, compare progress with other pilots, and generate evidence-based recommendations for improvement.

Marcell Surányi, product manager at Axis, told AIN that the AI Debriefing Station handles the multi-tasking and parameter monitoring that would otherwise fall to training instructors. "The system works by continuously analysing the complete data stream from the simulator," he explained. "A data processing unit connects directly to the simulator, while an evaluation platform is web-based and accessible on training centre systems or instructor devices."

The AI-backed system analyses data, including aircraft parameters such as speed, pitch, altitude, and configuration. It also tracks pilot inputs such as column and pedal positions and control interactions, as well as environmental data, including temperature and precipitation.

"This real-time processing enables the system to recognise manoeuvres, identify which pilot is flying and track whether performance stays within acceptable limits," Surányi added. "It can differentiate between a normal variation and a meaningful performance issue, and thresholds for acceptable deviations can be given based on aircraft documentation, ATO-specific standard operating procedures or training objectives."