The BIM production layer, explained.

Architectural, structural and MEP/electrical models built to the level of detail (LOD) your project needs — clean geometry, correct parameters, and a structure that's ready to coordinate, not a model someone has to rebuild before it's usable.

We model inside your environment — your Revit template, your worksets, your naming — starting from your BIM Execution Plan (BEP) and standards, never a generic template dropped on top. Repetitive volume (grids, levels, typical assemblies) is accelerated with our own Dynamo routines, so the model comes out faster and more consistent.

Production-ready drawing sets — plans, sections, elevations, details, schedules and title blocks — generated from the model and your naming convention, so your drawings and your model never drift apart.

We build sheets and views from your BEP and template, with schedules driven by model data so quantities update when the model does. Dynamo handles the repetitive setup — sheet creation, view placement, tagging — which is exactly where documentation normally eats the most hours.

Multidiscipline coordination — architecture, structure and MEP — resolved in the model, so conflicts are caught and fixed before they ever reach the field as an expensive RFI or on-site rework.

We federate the disciplinary models in Navisworks (or Autodesk Construction Cloud), run clash detection, and triage every clash — real conflict vs. tolerance noise. We don't just hand you a raw clash report: we resolve the model-side conflicts, track each issue to closure, and run coordination the way a coordinator would, not a checker running a script once.

A systematic quality pass on a model — yours or one you inherited — checking the things that quietly become RFIs later: parameters, worksets, naming, view discipline and overall model hygiene.

We audit the model against your standard (or a sensible baseline if you don't have one written), score it, and produce a ranked issue list — highest-impact problems first. Where you want it, we fix them; where you'd rather keep it in-house, you get the roadmap and a checklist your team can reuse.

Custom scripts that take the repetitive, error-prone volume off your team — sheet creation, tagging, QA checks, schedule generation, parameter sync — so the same work gets done faster and identically every time.

We build automation on the same discipline we run our own studio with: scoped to a real bottleneck you actually have, documented in plain language, and handed over so your team can run and adjust it — not a black box only we can operate. Python (with IfcOpenShell for IFC workflows) covers what Dynamo can't.

An ongoing production partner across your active projects — a predictable block of modeling, documentation and QC capacity that scales up and down with your pipeline, instead of a one-project handoff.

We plug into your standards once, then work as an extension of your team month to month: you route production work to us, we deliver to the same reviewed standard every time, and capacity flexes as projects start and close. The senior review on every package doesn't get skipped when things get busy.