sizeless | Digital Property Twins

What

sizeless is a digital twin and surveying platform that converts short smartphone videos into documentation outputs for civil engineering and building workflows. On the infrastructure side, it focuses on open trenches and house connections, producing 3D trench twins and CAD/GIS-ready as-built documentation.

The product is positioned for professionals who need accurate spatial data without traditional manual surveying delays, including network operators, civil engineering teams, and broader AEC users (architects, engineers, facility and energy professionals). Its core workflow is capture in the field via iPhone Pro/iPad Pro, AI-assisted reconstruction and object detection, then export to standard planning formats.

Features

• Smartphone-based trench capture: Field teams record standardized video at the excavation site with iPhone Pro, reducing dependence on separate surveying appointments and specialized hardware.
• High-resolution 3D reconstruction: Proprietary algorithms generate centimeter-accurate point clouds of open trenches, supporting measurement, earthwork estimation, and documentation quality.
• AI object identification: The system detects pipes, couplings, third-party utilities, and house entries, including areas where GPS may be unavailable (such as basements).
• Automated CAD/GIS deliverables: The platform generates as-built plans in DWG/DXF and digital twins for GIS workflows, helping teams move faster from field capture to revision-ready outputs.
• Broader AEC output set: Beyond trench use cases, the site also describes 2D floor plans, BIM-ready outputs (e.g., IFC/RVT), and AI use cases like room classification and condition assessment.
• Operational processing model: Uploads run in the background with pause/resume behavior, and the company states typical delivery around 48 hours per 1,000 m² capture scope.

Helpful Tips

• Validate use-case fit early: Confirm whether your primary need is trench/utility documentation, building interiors, or energy planning, since sizeless presents multiple workflows on the same site.
• Standardize capture quality: Train crews on motion, lighting, overlap, and clip length guidance (e.g., 7–8 minute segments) because output accuracy depends on field capture discipline.
• Plan for iOS-first deployment: The platform currently emphasizes iPhone Pro/iPad Pro for best results; treat Android support as roadmap, not current production capability.
• Define output requirements upfront: Align internal teams on required formats (DWG, DXF, point cloud, BIM formats) before rollout to avoid rework in CAD/GIS/BIM handoffs.
• Review compliance statements carefully: The site states GDPR-compliant hosting in Germany/Switzerland and ongoing SOC 2/DIN 27001 reviews; procurement teams should verify status during due diligence.

OpenClaw Skills

Within an OpenClaw ecosystem, sizeless could likely serve as a field-data ingestion source for infrastructure and AEC automation. A practical skill pattern would be: monitor incoming capture jobs, classify project type (trench, building, energy retrofit), route outputs to the right downstream workflow, and trigger QA checks on file completeness and geometric consistency before handoff to planners.

A second likely agent workflow is cross-system document intelligence: OpenClaw skills could parse generated CAD/BIM/point-cloud metadata, compare against project scope or utility records, and generate structured exception lists for project managers, estimators, or auditors. The source page does not confirm a native OpenClaw integration, so this should be treated as an implementation opportunity rather than a built-in feature.