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From drawings and point clouds to a running scene

3D modelling and optimisation for plants, lines, data centres and campuses

We build 3D scenes of plants, production lines, data centres and campuses from BIM, point clouds and manual modelling, apply optimisation and LOD tiers by purpose, and support web and video-wall rendering. A twin is only as credible as its match with the site, so accuracy targets are set by area during survey and written into acceptance criteria.

Our approach

One team scopes, executes and retests; conclusions are delivered as evidence, not checklists.

01

Precision tiered by purpose

Monitoring, training and simulation need different precision. Each area's modelling precision and detail level is set by purpose and written into acceptance criteria, avoiding the cost of modelling the whole site at the highest precision.

02

Existing drawings and scans reused

BIM models, CAD drawings and laser point clouds are used first; manual modelling fills only the gaps. Reusing existing data reduces modelling time and cost.

03

Optimisation done during modelling

Models are LOD-tiered and instanced as they are built; browser and video-wall frame rates are verified at modelling stage, not fixed later during integration.

Deliverables

01

3D scene models

Model files and asset library by area and level, with precision notes. Acceptance samples each area and compares deviation against point clouds or site measurements.

02

Optimisation and rendering plan

LOD configuration, web / video-wall rendering parameters and performance report. Frame rates are measured on agreed test machines and scenes, and the results go into the report.

03

Modelling standard

Naming, coordinate system, units and update process. Model objects are divided along the observable manufacturing elements of ISO 23247 and map one-to-one to the asset model, so later expansion and data integration follow the same standard.

How we deliver

Four stages, each with defined inputs, outputs and a client sign-off.

01Weeks 1–2

Data collection and survey

Drawings, point clouds, site survey and precision requirements.

024–10 weeks

Modelling

Modelling by area, review, optimisation.

032 weeks

Integration check

Platform loading, performance test, site comparison.

041 week

Delivery and standard

Model delivery, standard documentation, update training.

Frequently asked questions

Notes on scope, execution and delivery standards. Contact us for anything not covered here.

Laser point cloud modelling reaches centimetre level, BIM conversion keeps design precision, manual modelling is set by purpose. Precision is agreed per area at survey stage and written into acceptance criteria.

Start from where you stand

Security, data and AI each start with a review of where you stand. The report and its findings are yours, whether or not the engagement continues.