Cloud/model review views
Named viewpoints or overlays that connect the processed model to source evidence.
Existing conditions · residential interior
Residential interior: scan-to-BIM evidence
Interior Scan-to-BIM is won or lost in the details: wall returns, ceiling slopes, cabinetry zones, openings, exposed structure, and the relationships between rooms. These paired views show the transition from dense scan evidence to usable model geometry.
- Input visible
- Interior point-cloud views
- Output visible
- Processed architectural BIM
- Areas compared
- Living space, kitchen, fireplace
- Best suited to
- Renovation, fit-out, measured documentation
Paired visual record
Source-to-model evidence
Use each pair as a review aid. Image comparison can demonstrate modelling coverage and interpretation, but formal acceptance still requires the native survey, model, coordinate checks, element scope, and agreed tolerances.
Source point cloud: living space
Processed BIM: living space
Source point cloud: kitchen zone
Processed BIM: kitchen zone
Source point cloud: fireplace zone
Processed BIM: fireplace zone
Technical reading
What experienced reviewers should inspect
- Interior datasets contain occlusion from furniture and fittings, so assumptions must be recorded rather than hidden.
- Sloped ceilings and exposed structural members need an agreed element scope before modelling begins.
- Built-in elements should be classified according to downstream use instead of modelled indiscriminately.
Comparable delivery
Workflow for a similar project
A comparable scope would begin with room-by-room coverage review and an element matrix. The team would model agreed architecture, check key junctions against the cloud, tag uncertain or inaccessible conditions, and deliver model views plus an exception log for review.
Read the full Scan-to-BIM workflow and use our LOD/LOI matrix to define acceptance before modelling begins.
Buyer relevance
Where this capability creates value
Useful for residential renovation, interior redesign, permit drawing backgrounds, space planning, and fit-out coordination when teams need a more dependable starting point than legacy drawings.
The correct deliverable depends on intended use. A quotation should therefore state disciplines, element scope, LOD/LOI, coordinates, units, file formats, QA evidence, exclusions, and revision rounds—not just a price per square metre.
Acceptance evidence
What we would include in an auditable QA pack
Scope and exception register
Modelled elements, known gaps, occluded areas, assumptions, and excluded conditions.
Model-health checks
Agreed checks for coordinates, levels, warnings, naming, links, file structure, and delivery format.
Start with evidence
Test us on your own authorized dataset
Send a representative cloud extract, target software, intended use, element scope, and required delivery date. We can propose a bounded pilot and acceptance plan before a larger commission.