sizeless builds spatial AI that turns smartphone footage of open trenches, house connections, and technical rooms into accurate digital records for underground infrastructure. Its technology reconstructs centimeter-accurate 3D point clouds and digital twins from ordinary video, producing CAD, BIM and GIS-compatible documentation before trenches are backfilled. The company describes its goal as building the data layer for underground infrastructure, with an emphasis on construction throughput, quality control and auditability.
The product, SiteScan, is an iPhone application that guides field personnel through capturing trenches, house connections and technical rooms using smartphone footage and no specialised hardware. An automated processing pipeline then generates revision plans, 3D models and GIS-compatible outputs, in a fraction of the time required by conventional surveying and manual drafting.
Work spans spatial AI, computer vision, image- and video-based reconstruction, 3D point clouds, CAD generation and mobile capture workflows. The technology is developed in Switzerland and the company is backed by Y Combinator. It serves civil engineering, construction, utilities and infrastructure customers, with outputs designed to slot into existing engineering and asset-management systems.
