Granular point-level or pixel-level classification to divide complex 3D environments into distinct, meaningful contextual regions.

Accurate masking of roads, sidewalks, vegetation, buildings, and drivable free-space to enable deep scene understanding.

Razor-sharp boundary delineation to train AI models in distinguishing between closely situated, overlapping, or complex geometries.

Specialized workflows designed to handle the intricate variations of both urban streetscapes and unstructured off-road environments.