Driver - Features - Seequent: Solutions for the mining, civil, environmental & energy industries

Latest Driver release

New ways to read your deposit

Driver's newest capabilities extend spatial analysis to categorical data, giving geoscientists a fuller, more defensible picture of structural continuity that feeds directly into geological modelling.

Categorical anisotropy estimation

Extend spatial continuity analysis to categorical data such as rock types and alteration codes. Driver quantifies the orientation and continuity of lithologies directly from logged intervals, giving you data-driven confidence in grade control and implicit modelling geology decisions.

Works on rock types and codes
Data-driven domain orientation
Supports faster, defensible model decisions
Complements numeric grade analysis

Automated interval classification

Cluster drilling intervals into geologically meaningful categories automatically. Driver classifies intervals by their spatial and attribute signatures, incorporating the local spatial structure of the data to accelerating domain and vein modelling while keeping the geoscientist in control of the interpretation.

Automatic interval grouping
Faster domain and vein modelling
Consistent, repeatable categories
Geoscientist stays in control

Core capabilities

What Driver does, end to end

From data import to model-ready output, these are the capabilities geoscientists rely on to analyse structure, compare attributes, classify intervals, and move results straight into Leapfrog.

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Driver's AI algorithm - spatial continuity mapping

The engine at the heart of Driver. It measures geological continuity throughout your deposit and returns local trend models (ellipsoids, discs, and lineations) that describe the 3D architecture controlling grade and lithology.

3D continuity from raw data
Local trends, not global averages
Outputs ellipsoids, discs, lineations
Answers in minutes

Trend analysis for multiple attributes

Compare spatial trends across multiple grade and geochemistry attributes at once. Driver reveals where different elements share continuity and where they diverge, surfacing deposit-wide relationships that single-variable analysis would miss.

Spot cross-element relationships
Deposit-wide spatial insight

Integrated with Leapfrog

Driver runs on Seequent Evo, so data flows in from your workspace and results publish straight back as geoscience objects. Use its outputs as structural trends, form interpolants, or variable orientations in Leapfrog Geo and Leapfrog Edge.

Runs natively on Seequent Evo
Feeds Leapfrog Geo and Edge
No manual file wrangling

Product Learning

Learn Driver at your own pace for free

This course explains how Driver works with Leapfrog and Seequent Evo to refine geological models and enhance data integration. Using the sample data provided, you will learn how to create a new Driver project, prepare and export data from Leapfrog to Driver through Seequent Evo, and create an anisotropy estimation in Driver.

All levels

Driver: Independent Structural Trends from Drilling Data

Learn how to upload drilling data, run your first spatial continuity analysis, and interpret the outputs. Ideal for geoscientists new to Driver and data-driven exploratory analysis.

Access and navigate the Driver portal
Create a new Driver project
Prepare and export drilling data from Leapfrog to Driver through Evo

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‘The accuracy and speed of Driver when it comes to identifying structural trends simply means that smaller veins, which may once have been overlooked, are now easily found’

Willi Vigor-Brown
Superintendent of Mine Geology, OceanaGold

Speak with our experts

Talk to our team of experts about the right fit for your organisation.

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Every capability, driven by your data