Conference

We’re speaking at WTC Montreal

May 17–21

Structural documentation that holds up in the next shift, the next review, or the project closeout.

Joints, faults, shears, bedding planes. The structural record that drives design decisions and support decisions. GroundedAI turns structural mapping from a hand-drawn handover into a persistent, spatial, and defensible record.

Decision anchoring

Structural data is the quite foundation for many decisions

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.

The gap today

On most projects structural mapping is still a paper and compass-first workflow

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.

The Workflow Stages

What changes when structural documentation is connected

Three stages. Two products. One connected workflow from face to decision.

Stage 1 - Lithos

Map the 3D dataset underground

Capture a dimensionally accuracy 3D scan underground.

Stage 2 - Strata

Organize and validate

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.

Stage 3 - Export

Export to analysis software

Export georeferenced structural discs to Leapfrog, Rocscience, Itasca or any open-format.

The Platform

The product that drives this outcome

Lithos

Where data is captured

Where data is captured in 3D underground Annotate general conditions including RMR, Q, and GSI.

Strata

Where plan meets reality

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.

What you get

What you have to show for it

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.

Frequently asked questions.

Data captured in Lithos flows directly into the Grounded platform, where teams can review conditions, generate reports, and align on decisions.

What classification frameworks are supported?
Can structural data be used in modelling software?
Related Workflows

Used across key workflows.

See how structural mapping connects to the broader GroundedAI platform.

See what structural documentation looks like when it stays connected.

Walk through structural mapping end to end from Lithos capture to Strata record to downstream export.