
AI-powered core scanning & logging for mining decision engineering
By Tanmay Verma, Founder · Last verified 28 May 2026
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A must for mining organizations needing faster, data-driven core analysis without sacrificing accuracy. The integrated sensor suite and AI logging are market-unique, but pricing is enterprise—so not for small exploration teams.
Last verified: May 2026
GeologicAI is a clear leader in applying AI and multi-sensor fusion to mining decision-making. Its core scanning technology—combining RGB, XRF, hyperspectral, and LiDAR—captures far more data than traditional manual logging, and the AI-powered Digital Core Table reduces human bias and errors. The acquisition of Lumo Analytics strengthens its ability to detect critical minerals like REEs, giving it a unique edge for the energy transition. That said, GeologicAI is an enterprise solution: pricing is undisclosed, but the list of services (scanning, logging, modeling) suggests significant investment. It's best suited for large mining companies running numerous drill programs. Smaller players may find the cost prohibitive. Compared to alternatives like Hyperspectral Imaging Ltd or conventional geochemical logging, GeologicAI offers superior speed and consistency, but requires sending core to its facilities (or partnering closely). Real-world caveat: turnaround of <48h depends on logistics; remote sites may see longer delays. If you need to accelerate resource definition and reduce geological risk, GeologicAI is a strong choice. But if you're a junior explorer on a tight budget, consider standard core logging first.
Skip GeologicAI if Skip GeologicAI if you're a small-scale prospector with a tight budget and don't need an integrated multi-sensor suite or advanced AI analytics.
How likely is GeologicAI to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
GeologicAI provides a complete integrated sensor suite and AI-powered tools that enable high-resolution decision engineering for mining operations. By combining multi-sensor core scanning (RGB, XRF, hyperspectral, LiDAR) with advanced AI logging and resource modeling, the platform helps mining leaders make critical decisions faster—up to 4x faster than manual logging and with less than 48-hour turnaround. The recent acquisition of Lumo Analytics adds LIBS-based drill core analysis, enabling detection of rare-earth elements and light elements. GeologicAI serves top mining companies like Agnico Eagle, offering solutions for core scanning, core logging (Digital Core Table), and resource modeling. Unlike traditional methods that force trade-offs between thoroughness and speed, GeologicAI's approach delivers high-fidelity data and robust analytics without compromise. Its positioned as the only comprehensive source of sensor data for the critical minerals industry.
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Concrete scenarios for the personas GeologicAI actually fits — and what changes day-one when you adopt it.
You have a backlog of 500 m of drill core that needs detailed logging for a feasibility study.
Outcome: Send core to GeologicAI's scanning facility; receive multi-sensor data and AI-generated mineral logs within 48 hours, cutting manual logging time from weeks to hours.
You need to update a block model with new assay data and quantify uncertainty for risk reporting.
Outcome: Import scanned data into RMSP via GeologicAI integration; run geostatistical simulations to produce confidence intervals and optimize drill hole placement.
No publicly available API or self-service pricing. The platform requires significant hardware investment and professional services engagement. Turnaround times depend on sample volume and location logistics.
The company stage and team size where GeologicAI's pricing actually pencils out — and where peers do it cheaper.
GeologicAI's contact-only pricing targets large mining enterprises with six-figure budgets. Smaller exploration firms may find more accessible options like ALS Goldspot or IMDEX's lower-cost scanning services. No transparent tier list is available, so budgeting requires a sales call.
How long it actually takes to get something useful out of GeologicAI — broken out by persona, not the marketing-page minute.
For a new client, setup involves sample submission logistics, data integration with existing software (e.g., RMSP), and geologist training on the Digital Core Table—typically 2–4 weeks. Repeat users can achieve <48-hour turnaround per sample batch.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
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