AI core logging: Datarock vs GeologicAI vs TruStructure

Choose the geological data you need

Drill-core logging software should turn a sample record into data that geologists can interpret and reuse. Datarock Core, GeologicAI Digital Core Table, and Veracio TruStructure address that job through different input and analysis choices. This comparison concerns logging drilled material, rather than sorting ore on a production conveyor. The main decision is whether the team needs more from its existing photographs, a richer sensor record, or focused structural measurements.

Datarock Core

Datarock Core applies machine learning to routine core photographs, including historical collections. Image preparation and depth registration help turn a tray photograph into an analyzable record. Its standard geotechnical bundle includes fracture data, joint-set analysis, and Rock Quality Designation, while additional products address lithology, veins, visible alteration, texture, and individual minerals. Models can be tuned to the deposit rather than treating every rock population as identical. The API and data-fusion options connect image-derived observations with geochemistry, mineralogy, scanner data, and downhole measurements. This makes Datarock particularly relevant when a core shed already captures photographs and wants more consistent quantitative outputs without making a new scanner the center of the purchase. Image preparation and the selected product bundle still determine what information is available. The practical advantage is the ability to revisit old holes as well as process new drilling through a similar workflow.

GeologicAI Digital Core Table

GeologicAI Digital Core Table brings several sensor layers into a geological interpretation environment. XRF, hyperspectral information, LiDAR, laser profiles, and high-resolution imagery can sit alongside AI-assisted logging tools. AI Auto-Logger classifies site-specific major lithologies; other functions address mineral maps, sulfide observations, RQD, depth correction, and sampling decisions. Low Element Predictor is a site-trained prediction capability, so its output should be understood as an inference rather than a replacement assay. GeologicAI also describes training, logging services, and export/integration support, which makes the offering relevant to a team changing both its data collection and its interpretation process. Compared with buying software for existing RGB photographs alone, this approach puts more emphasis on the sensor record behind the log. It suits an exploration or resource team that needs several complementary observations of the same core interval.

Veracio TruStructure

Veracio TruStructure concentrates on structural and geotechnical logging. Computer vision identifies core boundaries, orientation lines, broken zones, veins, and fractures, then supports outputs such as RQD, fracture frequency, and vein frequency. The system also calculates planar-feature measurements including depth, strike, dip, alpha and beta angles, and widths. Geologists review, adjust, and confirm features, with the reviewed observations contributing to model retraining. This is a useful fit when structural measurements are the purchasing priority and the team wants a digital review process around them. Veracio lists TruStructure separately from its Strata cloud platform, Access data software, and MinaLogger visualization offering. Those neighboring products should not be assumed to be one included license. TruStructure is the more focused option in this comparison when the desired deliverable is an interpretable structural record rather than a broad mineralogical characterization.

Compare photographs with sensor-rich records

Datarock starts naturally from photographs already collected in a core shed and can enrich them with other datasets. GeologicAI puts a multi-sensor scanning record at the center of its Digital Core Table workflow. TruStructure uses visual features to build a structural interpretation. For historical core photos, Datarock is the clearest starting point because the existing archive is explicitly part of the workflow. For newly scanned core where elemental and spectral layers matter alongside visible texture, GeologicAI offers the more direct multi-sensor route. For orientation and fracture questions, TruStructure keeps the selection close to the required measurement.

Compare geological breadth and review

Datarock offers a configurable collection of geology and geotechnical products, so lithology or vein analysis is a purchase-scope decision. GeologicAI combines site-specific classification with mineral and sampling functions in the same core-data environment. TruStructure emphasizes detected structures and geologist-led correction. These differences matter more than a generic automation claim: a resource geologist asking about lithological domains has a different need from a geotechnical engineer assembling fracture statistics. Datarock and GeologicAI may cover a broader geological question, while TruStructure is particularly aligned with structural feature review. None of these product descriptions establishes equivalent results on the same deposit.

Compare subscription and service scope

Datarock publishes metre and user allowances for named plans, but numeric prices and the allocation period remain unconfirmed. Its additional products, sites, and metres can change the purchase. GeologicAI and Veracio require clarification of software access, collection equipment, services, and commercial terms. Compare the quoted data deliverable and selected analysis functions together. A scanning program with training is a different scope from processing photographs an organization already owns, and a structural module should not be priced as though every neighboring cloud product were included.

Which should you choose?

Consider Datarock for existing core-photo workflows, GeologicAI for multi-sensor interpretation, and TruStructure for structural and geotechnical logging. Let the required geological output determine the first conversation.