Discover 4Dmu

GPure, through a strategic partnership with EPIC Games, is now integrated in DataSmith, the workflow Toolkit for Unreal Engine, for Dmu optimization.

4Dmu Collaborative Viewers and GPure new versions have been demontarted to Laval Virtual 2018, 4th-8th April, Laval, France

4Dmu Viewer and GPure has been presented to Seoul Adex 2017 , 17th-22th October. New immersive capabilites with last virtual reality headsets will be demonstrated.

4Dmu GPure adapts the master DMU (Digital mockup), defined in CAD/PLM systems, to create optimized and convenient DMUs for each downstream application of company services.

Other 4Dmu modules offers functions to share and use digital mock-ups everywhere .

4Dmu is designed for companies using very large 3D models : automotive, aircraft, railway industries, shipbuilding, factory, ...

4Dmu can be used on PC workstation, Office PC, tablet, internet, VR headset and Cave environment.


In order to offer 4dmu capabilities to all company services, several modules are available :

  • 4Dmu GPure is the core kernel to optimize and adapt the Dmu to each application
  • 4Dmu DeltaMESH provides light and high quality mesh for realistic rendering
  • 4Dmu Explorer offers several modes of Dmu exploration (office pc, stereo visualization, immersive with headset and cave, 3D web, collaborative sessions)
  • 4Dmu Author for Illustrated Part Catalog eand SLI documentation

Boost your industrial applications with GPure data reduction capabilites :

  • DMU review
  • Large assembly management
  • Intellectual property protection
  • 3D application on smartphone and tablet PC
  • 3D real time simulator
  • Virtual reality application
  • Augmented reality application
  • Training and maintainability application
  • 3D technical documentation and e-catalogue
  • Serious games
  • CAD to CAE link for physical simulation (FEM, CFD, ...)
  • ...

Use reference DMU evreywhere and as often as you need for each product lifecycle step:

  • Important cost saving (weeks of interactive DMU preparation reduced to a few hours of computing)
  • PLM integration
  • Optimal DMU views adapted to each engineering task (data precision vs data volume)
  • DMU processing automation
  • Reproductibility and capitalization of modeling preparation procedures
  • Quality of downstream DMUs generated by GPure

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