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High-Resolution Core Scanning Data

Accurate & Consistent Interpretations, Faster

GeologicAI empowers geoscientists with co-located, visualized, multi-sensor data and advanced analytics.

Improve logging consistency and efficiency with reliable data and advanced AI tools. Enhance your resource knowledge and give geologists time to do what they do best: interpret the geology.

AI Tooling

Replace tedious, manual tasks with supervised models trained on your dataset.

Data Consistency & Accuracy

Improve logging consistency across geologists resulting in consistent, defensible, and auditable interpretations.

Quality Assurance & Quality Control

Highly-customizable one-click sampling and QC allocation.

Muliple Sensor-Based Datasets

Combined and co-located datasets supported by our in-house geological expertise.

Advanced Products

Auto Lithology

A proprietary, in-house developed, supervised machine learning algorithm to align with site-specific lithological logging schemas. The Auto Lithology consistently identifies lithological units and boundaries using integrated spectral and geochemical data, improving logging accuracy and reproducibility.

Low Element Predictor

A purpose-built supervised machine learning algorithm that predicts grade intervals for elements not reliably detectable by a single sensor (e.g., XRF). The Low Element Predictor integrates multiple data sources to deliver robust, interpretable grade estimations.

XRF Calibrations

A site-specific supervised machine learning tool that delivers a matrix specific calibration tailored to providing XRF data in concentration units for direct interpretation and decision-making. Outputs are available at 1 cm or downscaled to any user-defined interval length.

Mineral Maps & Proportions

High-resolution hyperspectral data unmixed at the pixel level, to visualize and identify minerals and their spectral intensity, providing mineralogical insights across the core surface.

Sulfide Finder

Leveraging convolutional neural networks and a world class image training set carefully curated by geologists using multisensory scan data, our machine learning algorithm identifies and selects sulfide minerals using high-resolution imagery. The product maps sulfide distribution, area percentage, and grain size to support quantitative geological interpretation.

Auto Sampler

A data-driven workflow that combines scanning data, geological logging, and advanced products to generate optimized sampling intervals, and QAQC samples based on site-specific rules. Auto Sampler creates consistent, repeatable sample intervals that reduce human bias and improve sampling quality.

Visualize Your Data with the Digital Core Table

Discover how data from XRF, hyperspectral, LiDAR, laser profiling, high-res imagery and more can be combined to provide geologists with the most comprehensive dataset they have ever seen.

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Talk to an Expert

Get in touch with one of our product experts today to see if GeologicAI’s core scanning and data products are the right fit for your project and deposit.

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