BIM and GIS: Where Field Data and AI Analysis Converge
What the BIM.Infra Congress in Dresden showed and why the connection between GIS and BIM is becoming increasingly crucial for infrastructure operators
At the BIM.Infra Congress in Dresden in March 2026, together with A+S GmbH Umwelt Energie, we demonstrated how GIS and AI interact in the daily practice of infrastructure operators. What was outlined in a presentation there deserves a more detailed explanation, because for our target group, the question of how BIM and geoinformation converge is no longer an academic one.
BIM is not a tool - it is a way of working
Building Information Modeling (BIM) describes the process-oriented handling of structured information throughout the entire lifecycle of infrastructure assets. The associated standard ISO 19650 regulates how this information exchange is organized; the open format IFC (Industry Foundation Classes) of the buildingSMART standard ensures vendor neutrality. In Germany, a phased BIM mandate for federal infrastructure projects has been in place since 2020; Austria is following suit in the practice of public tenders.
What often remains underexposed in this methodological discussion: BIM is only as good as the data it is based on. And that is precisely where many infrastructure operators still face a structural problem today.
The gap between plan and terrain
Infrastructure networks — power lines, gas pipelines, traffic routes — often exist differently in reality than in the systems. As-built documentation is often still created on paper or in formats that cannot be transferred to GIS or BIM environments without effort. Media discontinuities, post-digitization, version problems: These are not marginal phenomena, but structural inefficiencies that limit the information value of BIM models from the outset.
Our MoversSurvey MDE addresses precisely this point: The app digitizes field inspections directly in the field with map annotation, photo documentation, GPS localization, and configurable questionnaires, fully offline capable. The results are available the same day as GeoJSON, Excel, or PDF reports. What previously required days of post-processing becomes direct input for the GIS team and thus the basis for BIM-compliant as-built models.
This is not a BIM application in the narrower sense. But MoversSurvey delivers what BIM processes so often lack in the field: structured, georeferenced, audit-proof data without system breaks.
When geodata becomes analyzable
The second gap lies further up in the process: at the evaluation level. GIS systems manage spatial data, but the question of what this data means requires expertise, time, and usually a person who has both. Especially for network operators with large datasets, this bottleneck is noticeable: data is available, but not operationally usable.
Kermit GeoAI addresses this level: As a QGIS-native plugin, it enables natural language analysis of geodata — without prior GIS knowledge, directly in the familiar working environment. In the context of BIM processes, this is relevant because as-built information from IFC models and georeferenced sources increasingly requires the same analytical framework as classic GIS data: checking route alternatives, evaluating approval documents, classifying network sections according to criteria.
Kermit does not replace a GIS system or a BIM tool: It is an analysis layer that builds on what is already available and opens up the use of this data to people who previously relied on evaluations from others.
What this means in practice
The combination of both products describes a complete data path: structured field data collection with MoversSurvey, analysis and decision support with Kermit GeoAI, embedded in existing GIS and increasingly BIM environments. For infrastructure operators who are under pressure to professionalize documentation processes and at the same time use GIS capacities effectively, this is a comprehensible argument, without system changes, without large implementation projects.
If you are interested in the application cases in detail, you will find concrete use cases and case studies on this page. We are happy to discuss your specific context.
Further reading
