InfraSix currently has a team of highly skilled engineers and scientists, with degrees ranging from Aerospace and Mechanical Engineering to Computer Science and Systems Engineering, including a number of advanced degrees as well as an experienced management team. InfraSix uses proprietary machine learning to build defect-detection and anomaly-detection models based on sample inputs, which then allows our systems to recognize various types of defects and conditions of importance to our clients. InfraSix algorithms can identify a wide range of defects and anomalies automatically and then classify them using proprietary machine learning algorithms. Defect detection can be customized & trained for each client to best fit their needs & requirements. Drones can collect massive amounts of data and machine learning algorithms are the only practical way to pull out the information of interest and present a simplified visual presentation and report of findings based on the data. We regularly conduct beta tests for prospective client to demonstrate how machine learning is applied first-hand.