With our software, project data and planning documents are processed automatically and contained information as well as geometries are precisely extracted. By using artificial intelligence, processes can be efficiently automated and the management of project data in construction projects can be realized in a resource-saving manner.Contact us
time savings in the realization of construction projects using artificial intelligence
automation in the structuring of project data and planning documents
transformation of unstructured data into semantic data models
Automated classification of project data and plan documents for structured data management
Extraction of information and geometries from analog project data and plan documents to generate semantic data models
Automated georeferencing and merging of CAD plans within a project space
Recognition and semantification of geometry objects from project data such as CAD, GIS or BIM data into intelligent specialist objects
Automated quality management for checking and validating applicable standards and guideline compliance
Integration of extracted information and geometries into existing processes and systems via open interface
elevait in:plans enables the processing of large amounts of unstructured project data and plan documents and thus contributes significantly to increasing the efficiency of processes.
Our graph-based search is unique and revolutionary. It provides a visual representation of project data as well as plan documents and realizes efficient navigation in complex unstructured data. It allows to quickly identify correlations and thus to precisely search for information relevant to the projects.
Innovative object recognition fully enables automatic extraction of information that is georeferenced and available as specialized objects in a semantic data model. This significantly reduces the effort and resources required for the evaluation and further processing of relevant project data.
Common understanding of the process
Based on individual business processes, we develop a joint project plan and define the KPIs.
We create a mutual understanding of the data situation. Afterwards the data is prepared for machine learning.
How your project continues