Survey teams were spending most of their project hours on manual point-cloud cleanup: noise removal, ground classification, coordinate transformations, and exports to multiple formats.

We designed a cloud-native pipeline that ingests raw captures, applies configurable classification and QA rules, and outputs LAS, COPC, GeoTIFF, and mesh formats. Each run is tracked so teams can reproduce results and compare iterations.

The pipeline now handles routine work automatically and flags edge cases for review, letting analysts focus on interpretation instead of file wrangling.