These platforms translate complex physical environments into structured data, enabling machines to understand depth, proximity, and structural orientation. They are essential for tasks ranging from autonomous navigation and advanced robotics to precise architectural modeling and interior layout optimization. When selecting a solution, prioritize how well the model interprets occlusion versus open space and whether it integrates directly with your existing sensor hardware or digital environment blueprints.

Google's SOTA robotics model for visual & spatial reasoning!