About Us & Technology

Who We Are

OreScanner is a specialised engineering and applied-science team focused on material sensing, real-time data systems, and practical decision support for mining and mineral processing. Our background spans geology, mineral processing, spectroscopy, automation, computer vision, machine learning, and exploration-grade data workflows across both mining and oil & gas.

We work with production, process, and exploration teams to design and implement multisensor and data-driven solutions that provide clear, actionable information for day-to-day operations and long-term planning.

OreScanner PX3 System

Alongside our engineering work, we also develop the core technologies behind MineralsIQ — a real-time mining concept aimed at bringing continuous geological visibility into short-term planning. The project is in stealth mode and available only to selected pilot partners, but it reflects where we believe mine planning is heading. We are proud that MineralsIQ is supported through the Microsoft for Startups Founders Hub. Limited updates are available at www.mineralsiq.eu

Our Expertise

Sensing & Measurement Technologies

We develop and integrate multisensor systems using the technologies best suited for each application, including:

  •  Computer vision & particle analysis
  • Multispectral imaging (UV-VIS–IR)
  • NIR & Mid-IR spectroscopy
  • Laser-based and optical methods
  • XRF & elemental sensing
  • Neutron-based sensing, including PGNAA (Prompt Gamma Neutron Activation Analysis)
  • Induction & resistivity measurements
  • Microwave / dielectric sensors
  • Sonic / acoustic sensing
  • and other…

This modular toolbox allows us to design application-specific sensing systems tailored to ore type, plant configuration, and operational objectives.

Data Fusion, Modelling & Interpretation

We convert raw sensor signals into operational intelligence using:

  • AI & machine learning
  • Chemometric models
  • Physics-informed algorithms
  • Hybrid geostatistics
  • Spectral and signal processing
  • Digital-twin and scenario modelling

These models are grounded in real plant and exploration data, enabling accurate material classification, early detection of variability, and support for real-time or automated decisions.

Our Mission

To bring clarity, stability, and practical real-time intelligence to mining and mineral processing — and to support the industry’s gradual transition toward continuously adaptive, self-optimising operations.

Don't Let Your Wealth Go to Waste Ore Pile!

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