AI-powered core scanning and mineral analysis for mining operations
GeologicAI builds hardware and software for automated geological analysis in mining—specifically hyperspectral and XRF core scanning coupled with AI-driven mineral identification. The tech stack (Python, Bitbucket, Windows-centric infrastructure) and active projects reveal an engineering org focused on deployment reliability and pipeline automation across on-prem servers, likely driven by field reliability issues and offline synchronization challenges common in remote mining sites.
GeologicAI provides core scanning and AI analytical solutions for resource and geometallurgical decision-making in mining operations. The company combines spectroscopy hardware (hyperspectral, XRF, XRD, SWIR) with machine-learning models for consistent mineral identification and data capture. Headquartered in Calgary, Alberta, with 201–500 employees, GeologicAI operates an engineering-heavy org currently scaling across Canada and Australia. Current priorities center on deployment stability for on-premise installations, pipeline automation, and streamlining QA/QC workflows—pain points typical of hardware-software integration at remote or offline mining sites.
GeologicAI operates hyperspectral, XRF, XRD, and SWIR core scanning systems paired with Python-based AI models for mineral identification and analysis.
Recent projects include deployment automation on Windows servers, Bitbucket pipeline enhancement, offline server synchronization, and QA/QC workflow automation for core analysis.
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