AI-enabled Test Incident Report Analysis Tool

Virtualitics will use Artificial Intelligence and Machine Learning tools to jointly work with the Army Program Executive Office Ground Combat Systems (PEO GCS), XM30 Combat Vehicle program to deliver a comprehensive data collection, analysis, and testing strategy to aid in reliability testing and ultimate full lifecycle sustainment of the XM30 combat vehicle platform. Through the development and implementation of this strategy, Virtualitics will enable the program to gain a clear understanding of a data collection methodology for initial reliability testing and what data sources are needed to meet reliability growth metrics already established by the US Army. Virtualitics will leverage our advanced data analysis and visualization software tool that uses AI/ML to increase the speed, accuracy, and data-driven scoring of the testing process through the use of intuitive data interaction and advanced machine learning algorithms to highlight anomalies, artifacts and identify patterns in the data to increase XM30’s ability to rapidly validate existing and new data sources.