Laser scanning is a method of surveying that has evolved rapidly in recentyears. The technique is based on a laser scanner set up, which can document a structureusing pulsed laser beams. Each time the laser hits a surface it is partly reflectedback to the scanner that stores the point. By using strategically placed targets, storedpoints from different scans can be merged into a point cloud. A point cloud is avisualization of the scanned object with a very high accuracy. The point cloud is thenimported into appropriate software to create a simplification of the object, which thencan be usedin a design or construction tool.The large amount of information that point clouds result in is oftendifficult to manageand simplifications must be done. The purpose of this study is toexplore the possibility to skip this step. In collaboration with Ma'ttja'nstAB, the market will be searched for appropriate software and plug-ins that can handlethis. Some criteria for good software are being able to automatically generatesurfaces, checking the accuracy of the result and in a user-friendly way be able tonavigate through the point cloud. In this study point clouds from Autodesk were used,this were practical because no conversion of the format was needed.Autodesk Revit Architecture and AutoCAD were the design tools that were selectedfor this study. These two programs have recently developed a format compatiblewith large point clouds. Plugins that werealso looked into are Scan To BIM (Revit), ShapeExtraction (AutoCAD) and Kubit pointcloud (AutoCAD). All programs arecompatible with the point cloud format PCG11.This study could establish that it is possible to skip the simplification