We thought we were building a 3D model of an aircraft. We were wrong. What we were actually building was a way to see change. The original idea seemed simple enough. Capture an aircraft with a level of detail that would allow us to create a highly accurate digital representation of its exterior condition. Every panel, every rivet line, every antenna, every surface detail preserved in a way that could be viewed, measured, and revisited long after the aircraft had left the hang

M ost construction challenges don’t fail because of materials, methods, or machines. They fail quietly—through decisions made too early, signals ignored too long, or responsibilities that slowly drift out of view. The most expensive lessons on a jobsite rarely come from construction itself, but from ideas that live outside it: how systems behave under pressure, how humans respond to uncertainty, and how absence—of attention, clarity, or ownership—creates risk long before anyt

T he integration of artificial intelligence into drone operations has significantly expanded the capabilities of unmanned aerial systems (UAS). These technologies now enable drones to collect, process, and analyze large volumes of data with increasing autonomy. However, this evolution has introduced new challenges related to data sovereignty and the ethical use of AI. These challenges are becoming particularly relevant in sectors where drones are used for inspections, such as