AutoLogger

AutoLogger is Veracio's AI-driven lithological core logging platform. It enables geologists to log core digitally with fully customisable labels while the platform simultaneously learns the geochemical signature of logged lithologies using machine learning, then refines and predicts classifications to dramatically increase logging efficiency. AutoLogger auto-completes geological logging based on patterns it identifies in the core data, ensures seamless QA/QC, and transforms the traditional core shed workflow into a digital geology process.

Data captured through AutoLogger is saved as a permanent digital record in the cloud via Veracio's Strata platform, accessible from anywhere by authorised team members. The system continuously improves as more core is processed — the AI model becomes more accurate and efficient as the geological dataset grows. This self-improving characteristic is particularly valuable during long-running exploration programs where consistency of classification across multiple geologists and logging sessions is critical.

AutoLogger competes with GeologicAI's Digital Core Table and traditional manual logging workflows supplemented by core scanning. Its differentiation lies in the continuous learning model approach, the integration with Veracio's hardware scanning ecosystem (TruScan, Minalyzer CS), and the direct cloud storage via Strata for team-wide data access.