A BIM model is only ever as good as the point cloud it is derived from.
High-quality scan data enables:
If the point cloud is inaccurate, noisy or incomplete, the model will reflect those weaknesses, which leads to downstream issues for the entire project team.
Our approach provides clarity, precision and consistency through every stage of the data capture process.

We deploy industry-leading Leica terrestrial laser scanners selected to suit project scale, geometry and required tolerances.
Typical achievable site accuracy:
Actual performance is dependent on scan geometry, control strategy, environmental conditions and registration methodology.
Registration RMS is typically maintained at ≤ 3 mm, subject to site conditions and network geometry.
We select the appropriate scanner depending on:
Combining the right hardware with our structured end-to-end Scan-to-BIM workflow ensures consistent and measurable results.

The density of points captured determines the level of detail that can be confidently modelled.
Typical point density targets:
Standard Architectural Modelling
High-Detail or Heritage Recording
Industrial/Mechanical Environments
By controlling density, we maintain predictable modelling tolerances across all disciplines.

Quality of coverage is just as important as density and accuracy.
Our team ensures:
We always aim to eliminate “blind spots” so the modeller does not need to make assumptions.

Once scans are collected, individual scans must be aligned (“registered”) into a single coordinated dataset.
Our registration methods include:
Target-Based Registration
Using reflective or spherical targets placed throughout the site.
Best for:
Cloud-to-Cloud Registration
Aligning scans based on overlapping geometry, without physical targets.
Best for:
Hybrid Registration
Combining targets and cloud matching for maximum accuracy.
Registration Verification
We verify registration by checking:
Our typical target RMS is below 3 mm, depending on site conditions and scanner type.

Raw point clouds include stray points, reflections, unwanted artefacts and environmental noise.
Before modelling, we apply:
This ensures the modeller works from a refined, accurate dataset.

We provide point clouds aligned to:
Consistent coordinate alignment ensures seamless integration with:
Georeferencing is performed either during registration or as part of a post-processing step using supplied survey control.

Our typical tolerances:
Point Cloud Accuracy
Model Tolerances (linked to LOD)
These tolerances are always confirmed during the briefing stage and documented in the specification. Our QA checks are also based on point cloud accuracy.

Laser scanners must see a surface to record it.
Examples of limitations:
If areas are obscured, we will:
Transparency prevents assumptions and errors during modelling.

Point clouds are supplied in one or more of the following formats:
We can also provide:
These formats support a wide range of BIM, CAD and coordination environments.

Laser scanning accuracy, point density, registration quality and georeferencing form the technical backbone of any Scan-to-BIM project.
Our structured approach ensures:
With the right data, everything downstream becomes faster, safer and more accurate.

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