SkyOptim
SkyOptim offers an innovative and comprehensive solution for optimizing air operations by addressing both ground (air traffic control workload) and air segments (airline fuel cost). Their approach is similar to AI Deep Learning, but they have developed and implemented their own algorithms. Their software solution identifies patterns in air surveillance data to extract relevant events, allowing users to ask questions about suboptimal aircraft profiles or estimate fuel overcost. They provide services like auditing airspace, designing solutions for operational improvements, and licensing their tools. The company was founded by Sasha Dardik, who has extensive experience in AI and is the main developer of their solution tools. Karim Mehadhebi, an algorithm specialist, contributes with his expertise in mathematics for the pattern identification algorithms.
SkyOptim
SkyOptim offers an innovative and comprehensive solution for optimizing air operations by addressing both ground (air traffic control workload) and air segments (airline fuel cost). Their approach is similar to AI Deep Learning, but they have developed and implemented their own algorithms. Their software solution identifies patterns in air surveillance data to extract relevant events, allowing users to ask questions about suboptimal aircraft profiles or estimate fuel overcost. They provide services like auditing airspace, designing solutions for operational improvements, and licensing their tools. The company was founded by Sasha Dardik, who has extensive experience in AI and is the main developer of their solution tools. Karim Mehadhebi, an algorithm specialist, contributes with his expertise in mathematics for the pattern identification algorithms.