We’re speaking at WTC Montreal
May 17–21
Structural data is the quiet foundation under many underground decisions. Ground support design, excavation sequencing, stability analysis, and ore boundary interpretation. When the structural record is well documented, these decisions are straightforward. When it's fragmented with different mappers, different conventions, or different levels of detail, every decision downstream is impacted by the noise.
Structural mapping isn't about recording what happened, it's about making a complete dataset useful for next person who needs to use it.

Sketches on face maps. Discontinuity data in notebooks. Conventions that vary by mapper. Structure characterization scribbled down in a rush, if at all. The record that a manager reads a month later is often a best-guess reconstruction of what the mapper interpreted at the time.
For a dataset that influences support design, stability analysis, and modelling, that's a thin foundation.
Three stages. Two products. One connected workflow from face to decision.
Capture a dimensionally accuracy 3D scan underground.


Georeference and quickly orient scans. Map structures using points, lines, and polygons directly on the 3D mesh. Structural datasets are grouped, reviewed, and searchable. Location-based structure keeps every observation tied to its source.
Export georeferenced structural discs to Leapfrog, Rocscience, Itasca or any open-format.

Where data is captured in 3D underground Annotate general conditions including RMR, Q, and GSI.
Datasets organized, validated, and preserved. Queryable across the project. Exportable in open formats. Every structural observation stays connected to its capture date, location, and observer.
A structural record that's easily accessible across your project Discontinuity data that downstream engineers can trust without needing to talk to the mapper. A documentation standard that holds up in support review, design review, or a dispute.

Data captured in Lithos flows directly into the Grounded platform, where teams can review conditions, generate reports, and align on decisions.
The GroundedAI software supports Q, RMR and GSI frameworks, and feature-specific attributes are customizable per project, site, or company.
Yes. Strata exports structural data as .csv files in the form of x,y,z, dip, dip direction and any additional structural attributes you decide. Export the csv file, textured mesh, and annotated polylines to industry-leading software such as Leapfrog, Deswik, and any system that imports DXF or CSV files. See software workflows →
See how structural mapping connects to the broader GroundedAI platform.
Walk through structural mapping end to end from Lithos capture to Strata record to downstream export.