From Visibility to Jobsite Prescription
Head of Business Development at Propeller Aero on bringing drone mapping to construction and earthmoving
The real prize in construction software is shifting from making the site visible to telling crews what to do next. Today’s drone and vision tools are good at turning flights and walkthroughs into maps, models, and design comparisons, but they mostly stop at showing variance from plan. Moving to prescriptive workflows means combining that reality capture with equipment availability, sequencing, and production data so software can recommend where machines and crews should work next.
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Current AI in this stack is still narrow. It can detect curbs, manholes, catch basins, and other site features, then export those into CAD and BIM related workflows. That saves survey and QA time, but it is still measurement and verification, not jobsite orchestration.
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The enabling data layer is getting assembled now. Propeller combines periodic drone surveys with DirtMate machine sensors, while other platforms like DroneDeploy and Skydio layer captured reality against BIM models so teams can spot where the build is ahead, behind, or wrong.
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That creates a natural path to prescription. Once a system knows the planned design, the current as built state, and the live position and output of machines, it can move from saying this section is off grade to saying send two excavators here first, then push trucks to this haul route.
The next category winner is likely to be the company that closes the loop between map, model, and machine. Construction teams already have the inputs in pieces. The next step is software that turns those pieces into daily operating instructions, and becomes the system that allocates labor, equipment, and time across the site.