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Every BIM project now needs to arrive in GIS - as a submission requirement, an operations handover, or a digital-twin foundation. We focus on exactly that intersection: turning Revit, Civil 3D, and IFC models into structured, connected, schema-compliant GIS data.
GIS is a wide field but we don't try to cover all of it. We specialize in the GIS work that BIM projects specifically need: converting design and as built models into spatial data, guaranteeing network connectivity, and governing how multiple consultants deliver into one consistent GIS environment.
Where BIM and GIS meet directly the capabilities that define how we approach a project.
Bringing 3D building and infrastructure models (BIM) together with real world location data (GIS), so everything designed and built is positioned accurately on the map and understood in its true geographic context not just as an isolated 3D model.
Extracting building elements, utility networks, and equipment from Revit and IFC models; converting to GIS ready points, lines, and polygons; aligning to the correct coordinate system; mapping BIM parameters to GIS attributes.
Capturing and mapping what was actually constructed on site which can differ from the original design so the GIS record reflects real world, built conditions rather than just the approved plan.
Combining as-built drawings with GPS/GNSS survey data and physical site verification, then reconciling against the BIM model to update the GIS record with the true, constructed reality.
Moving beyond simple map lines and points to build fully connected utility networks in GIS, where every pipe, cable, and piece of equipment knows exactly what it is physically connected to.
Modeling pipes, valves, pumps, transformers, and other components with accurate, verified connectivity so the network can be traced end to end, e.g. identifying which valves to close to isolate a leak.
Using GIS as the central, spatial home for every physical asset's identity and history, so operations and maintenance teams can find, track, and manage assets by their real location.
Assigning unique asset IDs, recording inspection results, tracking condition and maintenance history, and managing each asset's lifecycle from installation through to replacement.
Expanding GIS beyond flat, 2D maps into full three dimensional representations of buildings, terrain, and infrastructure a far more realistic and complete picture of a site than a top down map alone.
Building 3D representations of buildings, ground terrain, and both above ground and underground infrastructure.
Creating a live, continuously updated digital representation of a real asset or facility by combining its spatial data (GIS), design model (BIM), and real time operational data (sensors/IoT) into one connected picture.
Integrating GIS, BIM, IoT sensor feeds, and operational systems so the digital model reflects the asset's actual current state, not just its as built condition.
Extending GIS mapping to the inside of buildings, where standard GPS-based location doesn't work. Indoor GIS represents floors, rooms, and pathways as structured, connected data built directly from BIM room and floor data.
Converting BIM rooms and floors into indoor maps; building indoor pathway networks for wayfinding and routing; tagging equipment with floor level location; producing 3D indoor scenes where required.
The technical and governance work that makes reliable BIM–GIS delivery possible.
Taking data that wasn't originally created in GIS such as CAD drawings or BIM models and converting it into properly structured, GIS compatible data that can be mapped, queried, and analyzed.
Converting CAD drawings, BIM/IFC models, and other formats commonly found within a BIM project's data package into GIS feature classes.
Designing the underlying database structure that GIS data lives in defining feature types, information, and relationships so data from every consultant fits together consistently.
Creating feature classes, defining allowed attribute values (domains), setting up feature subtypes, and establishing relationships between related data.
Finding and fixing problems in GIS data such as incorrect, incomplete, duplicated, or inconsistent information so the data can be trusted and used with confidence.
Removing duplicate features, repairing broken or incorrect geometry, and correcting inaccurate attribute values.
Using code and artificial intelligence to handle repetitive GIS tasks automatically making data processing faster, more consistent, and able to scale without a proportional rise in manual effort.
Writing automation scripts (Python, ArcPy, ModelBuilder) for batch conversion, quality checks, and reporting; using AI to extract features, classify imagery, and detect changes.
Defining, upfront, the rules every project team must follow so BIM and GIS data from multiple consultants can be combined smoothly before data production even begins.
Defining coordinate reference systems, GIS data models and themes, metadata and quality standards, submission packaging, and change management processes.
From BIM models to GIS-ready information.
Our conversion pipeline is AI-assisted end to end models come in from any authoring tool, and AI works alongside ArcGIS Pro to classify features, map attributes and flag data that needs review before it reaches the geodatabase.
Design & asset information from BIM models
Extract geometry & attribute information
Clean, categorize, map & prepare data for GIS
Create GIS layers, feature classes & load into geodatabase
Visualize, analyze & manage information in GIS
FROM BIM MODELS TO A SMARTER, CONNECTED WORLD
Automated extraction, transformation, loading and GIS processing for faster, accurate and repeatable results.
Whether it's a single submission or a full data model build-out, we can help you plan and deliver it.
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