SuperAPI AI Directory

Datarock

Datarock is a geoscience AI platform for the mining industry, providing production-grade, explainable AI solutions for standardizing geological characterization, accelerating data updates, and integrating with existing software and databases. Its core capabilities cover automated drill core and drill cuttings logging, property prediction and domaining, structural geology and geotechnical analysis, mineralogy modeling, as well as multi-scale data-driven prospectivity modeling and vectoring and near-miss analysis. The platform aims to reduce data processing costs by automating repetitive geological tasks, allowing geological experts to focus on interpretation and decision-making, thereby optimizing the entire mining cycle from exploration, development, and operations to mine rehabilitation. Several top mining companies worldwide have adopted the platform for model-ready, explainable insight generation.

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About this tool

Datarock is an artificial intelligence company focused on the geoscience field, headquartered in Melbourne, Australia. Its platform provides production-grade, explainable AI for standardizing geological characterization, accelerating updates, and integrating with users' existing software and databases.

Primary Uses

Datarock's platform is applied across the entire mining value chain—from exploration, development, and operations to post-mine rehabilitation. It helps mining companies accelerate discovery, reduce development risk, optimize operations, and drive sustainable decision-making. Specifically, it addresses the following industry challenges:

  • Orebody uncertainty meets operational inertia: outdated models and fragmented workflows lead to inconsistent interpretations, delayed updates, and costly surprises across multiple stages of the mine life cycle.
  • The reshaping of discovery: deeper search spaces, lower grades, and changing jurisdictional risks require exploration teams to do more with less uncertainty and greater complexity.
  • High-value talent trapped in low-value tasks: top geologists spend a large portion of each day cleaning datasets, tracking logs, and QA/QC-ing Excel spreadsheets.

Primary Capabilities

Datarock offers solutions ranging from turnkey to fully customized, covering the following areas:

  • Prospectivity Modelling: Deploy multi-scale, data-driven prospectivity models to focus efforts, identify new opportunities, and reduce false-positive spending.
  • Vectoring & Near Miss: Help optimize field work and sampling strategies.
  • Automated Logging: Automated, explainable logging and domaining workflows that evolve as the deposit changes, reducing interpretation risk and getting insights into modelers' hands faster.
  • Property Prediction & Domaining: Predict geological properties and perform domaining.
  • Structure & Geotech: Enhance geotechnical logging, increase core shed throughput, and maximize the value of limited core shed personnel.
  • Mineralogy Modelling: Perform mineralogy modeling.

Products and Software

  • Datarock Core: Automated drill core logging product, including product subscriptions, automated drill core logging data sheets, core tray preparation quick reference sheets, and other resources.
  • Datarock Chip: Drill cuttings product, including product subscriptions, dataResources such as the table and drill cuttings photography guide.

How to use

Datarock's solutions can be integrated with users' existing software and databases. The platform handles repetitive geological tasks, freeing experts to focus on interpretation, model refinement, and key decisions. Users can subscribe to the newsletter, access the help center, blog, case studies, and FAQs through its website. Resources include an imaging guide, photography settings guide, photography settings cheat sheet, drill cuttings photography guide, and core tray preparation cheat sheet.

Use cases

Datarock is suitable for global mining companies, especially top global mining companies, for exploration, resource modeling, and geotechnical engineering projects. Since 2020, millions of meters of core have been analyzed. Its platform helps reduce the cost of data generation and processing and drives operational efficiency. Customer feedback indicates that Datarock's image analysis results helped highlight and refine the more prominent stockwork corridors in resource models, and the near-mine prospectivity product helped optimize on-site work and sampling strategies. Datarock Core allows the rapid creation of a basic geotechnical dataset using historical core photos, validating old logging, filling data gaps, and providing the first complete spatial coverage.

Limitations

Details regarding the specific charging model, pricing, deployment environment requirements, supported languages, etc., are not yet provided in the materials.