How fast is a typical cleanup?

Most single-building clouds complete in 2–5 business days after registration is finalized.

Point Cloud Processing · Denoise & Classify

Point Cloud CleanupModeling-Ready Data

Q: Do you classify MEP vs architecture?

On request. Classification depth is scoped to your modeling packages and schedule.

We remove noise, clip irrelevant regions and classify building-relevant surfaces so your Scan to BIM team works from clean, efficient point clouds — not cluttered raw captures.

Request a Scoped Proposal Upload Point Cloud Book Consultation

Denoise & ClipClassificationQA Sample ChecksFaster Modeling Starts

Cleaned high-density point cloud detail ready for BIM authoring

Building facade scan illustrating noise removal and classification needs

Problem Statement

Noisy Clouds Slow Every Downstream Task

People, vehicles, vegetation, reflections and scanner artifacts inflate file size and obscure building fabric. Teams waste modeling hours discriminating signal from noise instead of authoring BIM.

Our Solution

Clean, Classified Clouds Built for Modeling

BIMZ Studio denoises, clips and classifies your registered cloud — isolating architectural, structural and MEP-relevant surfaces — so modeling and deviation analysis run faster and more accurately.

Denoise & Clip

Classification

QA Sample Checks

Faster Modeling Starts

Cleanup stages including denoising, classification and export for modeling — Denoise, classify and thin the cloud so modelers work from signal, not noise.

Benefits

Why Teams Choose Our Point Cloud Cleanup Service

Cleaner clouds mean faster modeling, smaller files and more reliable deviation checks.

Noise & Artifact Removal

People, vehicles, reflections and scanner artifacts are stripped so fabric edges read clearly.

Region Segmentation

Floors, façades and plant areas can be segmented for phased modeling packages.

Smaller, Faster Files

Reduced density where safe keeps Revit and ReCap responsive without losing critical detail.

Preserved Accuracy

Cleanup never substitutes for registration — we protect control-aligned geometry throughout.

Ready for Authoring

Deliverables drop straight into your Scan to BIM or as-built workflow.

Workflow

Our Point Cloud Cleanup Process

From registered raw cloud to a lean, classified dataset built for BIM authoring.

Discovery

We confirm which regions, disciplines and density levels matter for your modeling scope.

Point Cloud Review

Noise sources, occlusions and density variation are mapped before processing.

Planning

Clip extents, classification schema and export formats are agreed with your BIM lead.

Cleanup

Denoising, clipping and classification run with manual QC on critical building fabric.

QA

Before/after samples confirm fabric integrity and that required detail remains.

Delivery

Cleaned cloud packages and notes are delivered for immediate modeling kickoff.

Methodology

How Point Cloud Cleanup Is Scoped

Practical definitions, limitations and commercial factors — written so they stay true from one project to the next.

What is point cloud cleanup?

Cleanup removes noise, transients and irrelevant points so modelers work from building fabric rather than people, vegetation or scanner artifacts.

Why it sits before Scan-to-BIM

Noisy clouds inflate file size and hide edges that Revit, Archicad or DWG work depends on. Cleanup does not replace registration; both affect downstream accuracy.

Next step

If this service matches your brief, request a scoped proposal. Commercial terms depend on the project requirements you submit.

Request a Scoped Proposal

Deliverables

What You'll Receive

Lean, classified clouds with clear notes on what was removed and why.

Deliverables package covering native models, IFC exports, drawings and QA reports — Every engagement ships as a complete package — native files, open exchange, sheets and QA.

Cleaned Point Cloud

Denoised and clipped cloud in E57, RCP or agreed format.

Optional Classified Sets

Segmented regions for architecture, structure or MEP-focused modeling.

Processing Notes

Summary of filters, clips and density decisions applied.

QA Sample Pack

Before/after visuals on representative areas for client sign-off.

LOD Support

Level of Detail for Point Cloud Cleanup

LOD is specified by category and project stage. Not every engagement requires every LOD.

LOD 100 to 500 pyramid showing conceptual massing through as-built verified geometry — Specify LOD by category and tolerance — not as a single project-wide acronym.

LOD 200

Approximate Geometry

Generalized systems and approximate quantities for schematic design coordination.

LOD 300

Precise Geometry

Accurate size, shape, location and orientation suitable for design development.

Software Used

Tools Behind Every Model

Industry-standard authoring and QA software, chosen to match how your team already works.

Autodesk ReCap Pro
CloudCompare
Leica Cyclone
FARO Scene

Autodesk ReCap Pro

Cloud cleanup, regions and indexing.

CloudCompare

Advanced filtering, segmentation and diagnostics.

Leica Cyclone

Survey cloud editing for Leica projects.

FARO Scene

FARO project cleanup and export.

Industries

Where We Apply Point Cloud Cleanup

The same coordinated, QA-checked modeling pipeline, tailored to each sector's compliance and detail requirements.

London · New York · EU · USA

Commercial

Coordinated Revit and Archicad delivery for HQ campuses, towers, and mixed-use schemes across London, New York, and major EU and US business districts.

London · New York · EU · USA

Residential

Multi-building housing and podium schemes modeled for phased handover across Northern Europe and major US metro markets, including London and New York.