Spatial Computing is transforming architectural practice. With devices such as Apple Vision Pro or Meta Quest 3, a BIM model stops living only on a screen and becomes a building the team can walk through, coordinate and validate at full scale. Faster decisions, fewer on-site changes and clients who understand the project before the first wall goes up.
At DeuSens we develop Spatial Computing solutions for architecture studios that integrate Revit, ArchiCAD or Rhino models and bring them into the real space of the project. Each experience is built around interdisciplinary coordination, design review and clear communication with clients and developers.
Benefits of Spatial Computing in architecture
Bringing the BIM model into spatial environments delivers tangible advantages across every project phase:
- Design validation at human scale, anticipating issues the 2D plan can't reveal.
- Coordination between disciplines (architecture, structure, MEP) on a shared model.
- Clear communication with clients who understand the space without reading plans.
- Fewer changes and conflicts detected on site, with the corresponding cost savings.
- Remote multi-location reviews between studios, engineering firms and developers.
- Richer graphic documentation for tenders and committee presentations.
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Practical applications of Spatial Computing in architecture
Use cases where the technology is already delivering value to studios:
- Spatial BIM review: the team walks the model at 1:1 scale and catches interferences and inconsistencies before construction.
- Client validation: immersive sessions where developers experience the building before permitting.
- Multidisciplinary coordination: architects, structural engineers and MEP specialists review the same model simultaneously.
- Competitions and tenders: differentiating proposals with spatial walk-throughs alongside the traditional board.
- Heritage and restoration: visualisation of the existing state and the proposed intervention on the same building.
- Urban planning: visual-impact and massing assessment at neighbourhood or city scale.
USE CASE: Discover how to apply Spatial Computing to your next competition or design review phase.
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Technologies and tools we use
We adapt the stack to the studio's workflow without replacing existing tools:
- Apple Vision Pro, Meta Quest 3 and Magic Leap 2 devices.
- Direct import from Revit, ArchiCAD, Rhino, SketchUp and IFC formats.
- Real-time engines (Unreal Engine, Unity) optimised for spatial hardware.
- Physical lighting and solar-hour simulation to evaluate daylight.
- Annotations, measurements and issue tracking inside the model itself.
- Multi-user platform for simultaneous sessions across remote teams.
HARDWARE AND SOFTWARE: We adapt every experience to the BIM workflow and devices of your studio.
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The future of Spatial Computing in architecture
The next step is native integration between BIM software and spatial devices, removing intermediate export steps. Generative AI tools will start to suggest project variants in real time, and spatial review will become as common as opening a plan on screen is today. Studios adopting this way of working will gain decision speed and communication quality.
The challenge is not only technical: it involves rethinking internal protocols, team training and how the project is delivered to the client. That's where we help.
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Frequently Asked Questions:
Do we need to rebuild the BIM model to view it in Spatial Computing?
No. We start directly from the Revit, ArchiCAD, Rhino or IFC files of the studio. There is an optimisation step to ensure smooth performance on the device, but the source model remains the single source of truth.
Does it work for sessions with several studios or engineering firms?
Yes. The experience is multi-user and lets several teams review the same model remotely, with shared annotations and voice communication.
Can the client or developer understand the project without technical training?
That's precisely the advantage. The spatial walk-through removes the barrier of the plan and lets the developer experience the building in first person, speeding up decision-making.
Does it detect interferences between disciplines like other BIM tools?
It complements traditional BIM clash detection with spatial validation: many inconsistencies in use, circulation or heights are spotted earlier at human scale than by an automatic clash detector.
Does it work for restoration and heritage projects?
Yes. We combine laser scanning of the existing building with the model of the proposed intervention to visualise both in the same space.
Conclusion:
Spatial Computing doesn't replace BIM tools: it amplifies them. Bringing the model into the real space of the project shortens review cycles, improves communication with clients and reduces on-site changes. Studios adopting this capability today differentiate themselves with a very concrete argument when competing for work.
ACT NOW: Book a session to identify where Spatial Computing can add the most value to your studio.
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