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In military training sessions, simulation tools usually generate a huge volume of data. Accessing training data can benefit senior officials, who can explore where training needs to improve. However, much of the data isn’t being utilized.

A new data engine that its creators say can be paired with any simulator has been unveiled.

The extended reality analytics engine, or XRAE, developed by Booz Allen Hamilton, uses algorithms to compare information collected from a simulator to data standards set by any military service in real-time.

Because the engine processes data in real-time, the performance evaluation is ready immediately after a training session. This can cut down the time and resources needed to determine the best learning strategy for an individual.

During a demonstration, a sensor tracked movement during a flight simulation. The engine calculated how often the user’s altitude and pitch matched an ideal flight pattern and displayed the information on a dashboard. Determining training performance for different objectives can help leaders distribute resources, as reported by nationaldefensemagazine.org.