See Raw Feed Problems Before They Become Plant Problems.
The Issues We Help You Avoid
Feed variability is one of the most common — and costly — drivers of instability in mining and minerals processing. We help diagnose and prevent issues such as:
- crusher, conveyor, and chute problems from oversized rock, clay, or contamination
- mills drifting toward overload when harder or weathered ore arrives
- kiln instability driven by carbon-rich or inconsistent material
- product quality drifting across shifts, sometimes resulting in recalls
- rehandling, cleanup, and lost hours during unstable days
If raw feed variability is costing you time or money, we give you the tools to see it early and take control.
Our Solutions
Clear, practical solutions for stabilising production and reducing risk — built on targeted sensing, fast modelling, and real operational evidence.
PlantIQ Studio
Evidence-driven diagnostics, modelling, and decision support.
PlantIQ Studio gives you clarity on what drives instability by collecting missing data, analysing raw-material feed and operating-mode impacts, and testing improvement options before major CAPEX. It provides a clean, decision-ready foundation built on targeted sensing, fast modelling, and low-risk pilots that show what works at your site.
FeedBuddy
Real-time feed monitoring that detects material changes early.
FeedBuddy identifies shifts in clay, contamination, oversize, moisture, and other variability drivers in real time. It highlights the material that leads to crusher blockages, mill overloads, kiln swings, rehandling, and product-quality drift — giving operators early warning and keeping the plant stable across shifts.
TrampScan AI
Advanced detection of metallic and non-metallic tramp material.
TrampScan AI provides real-time visibility into foreign objects in the material stream — including metal, plastic, rubber, and detonator cords. It adds a reliable layer of protection for crushers, conveyors, and screens, reducing nuisance trips and preventing unplanned damage.
Who We Are
OreScanner is an engineering and applied-science team focused on material sensing, real-time data systems, and practical decision support for mining and mineral processing.
We also develop the technologies behind MineralsIQ, a real-time mine-planning concept supported by the Microsoft for Startups Founders Hub.
How We Work
A practical, fast, evidence-based approach to solving real operational problems:
- focused diagnostic review
- targeted data collection
- quick-install sensing where needed
- clean datasets built around your specific problem
- transparent models and tested scenarios
- low-risk pilots under normal variability
- clear, quantified recommendations
We use only the methods that fit your site — nothing more, nothing less.
Why Plants Trust Us
✔ 20 years combined experience in mining, industrial minerals, and process optimisation
✔ proven results (e.g., 40% reduction in waste rock at a limestone plant)
✔ independent, engineering-led, not tied to OEM biases
Operator Feedback:
“We recovered saleable rock from day one — and freed the control room team for higher-value work.”
Let’s Talk
If you’re dealing with feed variability, unexplained behaviour, or need evidence before making a major decision, we can help.
No commitments.
No disruption to operations.
Often helps you act before the plant feels the impact.
