Conference

We’re speaking at WTC Montreal

May 17–21

GroundedAI + Itasca (FLAC, FLAC3D, 3DEC)

Enhance numerical models with structured underground data. Lithos captures the rock mass in 3D, Strata structures geotechnical parameters and discontinuity geometry, Itasca software picks up inputs through open formats, ready to parameterize and run.

Decision anchoring

Numerical modelling is only as good as its input parameters.

A model calibrated against stale or interpolated data is a model calibrated against assumptions. When the ground behaves differently than predicted, the gap is almost always in the inputs, not the engineer.

Itasca tools do serious technical work. The question is how quickly and how accurately, they can receive up to date data.

The manual gap today

Input parameters for FLAC, FLAC3D, and 3DEC

Input parameters for FLAC, FLAC3D, and 3DEC are manually extracted from geotechnical logs, lab results, spreadsheets, mapping reports. The translation step is time-consuming, error-prone, and the biggest constraint on how much certainty an engineer can use to generate a model.

The model isn't the bottleneck. The data preparation is.

The Workflow Stages

The connected workflow

STAGE 1 - CAPTURE - LITHOS

Capture

Location-based 3D scanning of underground conditions in less than five minutes. Rock mass classification and other geotechnical observations captured in context. Offline-capable. 5-10 mm accuracy.

STAGE 2 - STRUCTURE - STRATA

Structure

Discontinuities mapped on the mesh with point, line, and polygon tools. Orientation derived from mesh geometry and georeferencing. Rock mass classifications added or reviewed from the field. Orientation data organized alongside the mesh for visual reference.

Stage 3 - Export

Open formats for Itasca

Open formats for Itasca Handoff point DXF for geometry and model boundaries. CSV for parameter tables and classification values.

STAGE 4 - ITASCA SUITE

Model in FLAC, FLAC3D, and 3DEC

Run scenarios against field-grounded inputs. When behaviour is questioned, the inputs trace back to the underground observation.

How Lithos and Strata improve Itasca

Lithos

Lithos, for underground 3D data capture

Underground. Offline-capable. Five-minute capture with 5-10 mm accuracy on sub-$2k iPad hardware. Mapping isn't a report written later, it's a 3D coloured dataset created in place.

Strata

Strata, the export pipeline

Strata is the structured project record where plan meets reality. Boundaries, classifications, and structural data are structured and exported to the formats Deswik expects, preserving textured meshes, mapped annotations and attributes.

What you get

Itasca-ready inputs through open formats

DXF for discontinuity geometry and excavation boundaries, CSV for rock mass parameter tables and classification values. Visual references from underground observations to model input.

Frequently asked questions.

Who is the Itasca data process built for?
How does GroundedAI data import to Itasca?
Can I iterate faster between observation and model scenario?
Related Workflows

Used across key workflows.

See how structural mapping connects to the broader GroundedAI platform.

See how underground data from GroundedAI improves numerical modelling without manual data transcription.