We build the processing pipelines behind photogrammetry and laser scanning — image ingestion, dense reconstruction, point cloud registration, and automated deliverable generation.
The science is solved. The engineering at scale is where teams run out of road.
High-resolution capture generates enormous datasets. Processing them efficiently requires real engineering, not a bigger desktop.
Photogrammetry, terrestrial LiDAR, mobile LiDAR, and drone data rarely align cleanly. Fusion is a specialist problem.
Clients want proof the deliverable meets tolerance. QA must be structured, documented, and repeatable.
Point clouds, meshes, CAD, BIM, and GIS all come from the same source data. Producing each one manually is unsustainable.
Where photogrammetry and laser scanning software delivers measurable value.
The scenario: A surveying or mapping firm has thousands of aerial images and no efficient way to produce orthophotos, DSMs, and 3D models at scale.
How we help: We build the batch processing pipeline — georeferencing, dense reconstruction, orthophoto generation, and DSM output — designed to run unattended at scale.
The scenario: An AEC practice uses terrestrial LiDAR on projects but relies on manual registration and downstream CAD processing that is slow and error-prone.
How we help: We build the processing pipeline — registration, cleaning, feature extraction, and CAD/BIM export — cutting turnaround from days to hours.
The scenario: A team captures street-level point clouds via mobile mapping but needs to turn them into asset inventories, terrain models, and clean deliverables.
How we help: We build the mobile point cloud pipeline — trajectory adjustment, ground classification, asset detection, and deliverable generation.
The scenario: A construction or facilities team needs as-built BIM from a scanned site — for renovation, retrofit, or compliance — but scan-to-model is manual and expensive.
How we help: We build the scan-to-BIM pipeline — registration, semantic segmentation, parametric model generation, and BIM export with metadata.
Tell us how you capture, what you need to deliver, and where the friction is. We'll come back with a scoped approach.
Start the Conversationor email me directly at darion.grant@gmail.com