Mining — AI solutions — SMHcoders
INDUSTRIES // MN-05

AI for Mining

Throughput, recovery and equipment health for concentrators and mine fleets.

PitFleet, haulage, blasting
UndergroundVentilation, safety, inspections
ConcentratorGrinding, flotation, recovery
SiteDashboards from mine to mill
// Overview

Transforming mining with AI-powered autonomy

Mining is shifting towards safer, greener and more efficient operations. Traditional methods carry significant safety risk, high operating cost and environmental pressure, and struggle to keep pace with modern demands.

SMHcoders uses AI-powered autonomy to make mining smarter, safer and more sustainable — from the pit and the underground face to the concentrator.

Download the solutions brochure (PDF)
MINING · OPEN PIT
// Key challenges

What mining operators tell us

The sector is under pressure to improve safety, cut cost and operate sustainably. Traditional practice struggles to keep pace, leaving gaps in efficiency, safety and environmental responsibility.

CH-01
Ore variability

Feed changes ripple through the whole concentrator.

CH-02
Mill downtime

Every stopped hour is unrecoverable throughput.

CH-03
Recovery losses

Flotation runs below potential without live quality data.

CH-04
Water and energy intensity

Comminution dominates site energy use.

// What we do

Where we help

WD-01
Throughput optimization

MPC on grinding circuits, tuned to ore type.

WD-02
Flotation soft sensors

Live grade and recovery estimates for control.

WD-03
Equipment health prediction

Crusher, mill and fleet degradation flagged early.

WD-04
Ore-quality forecasting

Feed-ahead predictions from mine to mill.

// AI-powered use cases

AI across the mine site

Computer vision, predictive analytics and live dashboards applied to the places mines lose safety margin and money.

01
Computer vision and drone inspections

Site safety monitoring and inspections from cameras and drones.

02
Predictive equipment and energy analytics

Equipment health and energy optimization from fleet and plant data.

03
Mining dashboards

Real-time production visibility from mine to mill.

04
Ventilation on demand

Airflow matched to where people and machines actually are — lower energy, safer air.

05
Customized mining automation

Tailored AI solutions for end-to-end mining automation.

// AI-powered solutions

Products behind the work

Model Predictive Control

Multivariable control that optimizes every move within constraints.

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Soft Sensing

ML-based virtual sensors estimating hard-to-measure variables in real time.

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Predictive Maintenance

Equipment degradation detected before it becomes downtime.

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Anomaly and Fault Detection

Continuous monitoring with root-cause guidance for operators.

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“The ore body changes by the hour. The concentrator should see it coming.”

SMHCODERS · MINING
// Benefits

What it changes for you

AI-powered systems make mining safer, smarter and more sustainable — less human exposure, greater extraction efficiency at lower cost, stronger environmental compliance, and higher profitability through smarter resource allocation.

MN-05 // IMPACT BOARD
More tonnes per operating hourOK Higher recovery at the same feedOK Fewer unplanned mill stopsOK Lower cost per tonneOK
IN YOUR INDUSTRY

Ore changes by the hour. Your grinding circuit should change with it.

Book a free consultation
// FAQ

Common questions

Where do plants like ours usually start?+

With one measurable use case — most often a soft sensor or an equipment-health model on a unit that matters. Small scope, visible payoff, then scale.

Do you work on site?+

Yes. Scoping and commissioning happen at your site in the Gulf region; model development runs from our Abu Dhabi and Pakistan engineering hubs.

What data do we need to start?+

Most engagements start with 6–24 months of historian, lab or document data. We audit coverage in the first week and tell you plainly if it is not enough — before you commit.

Where does it run, and who sees our data?+

On your infrastructure — plant-side servers, your Azure or AWS tenancy, or an air-gapped network. Data never leaves your boundary, and nothing is used to train third-party models.

Is the consultation really free?+

Yes — 45 minutes with an engineer, a feasibility read and suggested next steps. No obligation.