The development of Building Information Model (BIM) in modern times has tremendously aided civil engineers in optimizing and regulating designs, minimizing errors, reducing risk, enhancing accuracy and feasibility, and generally improving projects delivery. In addition, the use of BIM has significantly contributed to time and cost savings. Other advantages include the ability to visualize and analyze data using 3D modeling and relevant engineering knowledge. Geotechnical data is usually collected at the start of a construction project in order to better understand the subsurface conditions as well as slope stability issues. Soil qualities, slope geometry, groundwater conditions, and geological features are examples of geotechnical investigation data. The presence of geotechnical data has the potential to improve the Building Information Modeling process. As a result, project teams can integrate BIM to improve their grasp of numerous analytical parameters related to slope safety, critical failure surface, and probable failure model by using the data that has been gathered. The objective of this study is to explore how observing geotechnics data on residential projects throughout the implementation of Building Information Modeling improves safety, cost efficiency, and time savings. This paper examines the case of residential project planning in which the ground surface has elevation differences that cause slopes at several points using the following method: using real data from the field and then analyzing Geotechnics safety using Sted-win, so that the data could be integrated into Building Information Modeling. With this information, the results of the Building Information Modeling and Geotechnics Safety Analysis implementation demonstrated that the geotechnics and building structure of this residential project are capable of bearing the load by adding piles at several points prone to landslide measures caused by the buildings and earthquakes. Furthermore, the integration of Building Information Modeling and geotechnical data enhanced design and effective communication for project team decision-making.