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Industry Focus · Mining & Mineral Processing

AI-Driven Optimization for Mining & Mineral Processing

Maximize recovery, reduce energy intensity, and predict equipment failures across your entire mining operation with ECON Tech's AI solutions.

20+

Years in Process Industries

−25%

Avg. Energy per Ton

+18%

Avg. Recovery Improvement

−45%

Unplanned Equipment Downtime

Mining is Complex.
We Understand It.

Mining and mineral processing operate under intense pressure — variable ore grades, energy-intensive comminution, constant equipment stress, and siloed data preventing real-time decisions. Generic technology doesn't work. You need a partner who understands the value chain.

See How We Solve It →

Ore Grade Variability

Fluctuating feed grades cause unpredictable recovery rates and downstream quality issues

Energy-Intensive Comminution

Grinding and milling are the largest energy consumers — often running at suboptimal efficiency

Equipment Failures & Downtime

Unplanned failures of mills, conveyors and pumps halt production and drive high maintenance costs

Process Visibility & Integration

Siloed data from sensors, labs and PLCs prevents real-time decision making across the value chain

AI Solutions for Mining Operations.

Intelligent models optimized for ore processing, energy management, and equipment reliability across your entire mining operation.

Digital Transformation · MES

OneFactory MES

Real-time mining execution system connecting ore tracking, processing records, quality results and OEE reporting in one integrated platform

Process Optimization · Comminution

Mill Optimizer

AI model for SAG/Ball mill optimization — maximizing throughput and mineral recovery while minimizing energy consumption per ton processed

Quality Prediction · Ore Processing

Grade Predictor

Real-time prediction of ore grade and concentrate quality — enabling proactive feed blending and flotation adjustments to maximize recovery

Predictive Maintenance · Equipment

Predictive Maintenance

Equipment health monitoring for mills, conveyors, pumps and crushers — anticipating failures and optimizing maintenance intervals

Process Optimization · Flotation

Flotation Optimizer

Dynamic optimization of flotation cell parameters — reagent dosing, air flow and pH — to maximize metal recovery and reduce reagent cost

Energy Savings · Plant-Wide

Energy Management

AI-driven energy optimization across comminution, pumping and ventilation — reducing kWh per ton of ore processed

Get More from Your Mining Operation with Smarter AI.

ECON Tech's models are built specifically for mining and mineral processing — not generic AI adapted for your operation. Here's what that difference means for your recovery, energy, and reliability.

Real-Time AI Recommendations

Operators receive live guidance on mill parameters, flotation control and energy optimization — actionable decisions at the right moment.

Hybrid Models — Not Black Boxes

Every model combines machine learning with process metallurgy. Your team understands why the AI makes each recommendation — and can trust the output.

20+ Years in Process Industries

Deep experience with mining, comminution, and flotation operations in LATAM. First-class support from engineers who know your process.

Seamless Plant Integration

Deploys on your existing sensors, historians, and control systems. No rip-and-replace, no production interruption — AI that fits your mine.

Full Value Chain Coverage

One integrated partner for ore tracking, processing optimization, equipment reliability, and energy management across mining, milling, and flotation.

Operator-First Interface

Bilingual dashboards (ES/EN) designed for mine operators — not data scientists. Zero complexity at the plant level, maximum adoption from day one.

Real Mines. Real Results.

Comminution · Energy Optimization

−14% Energy per Ton in SAG Mill Operation

With SAG milling consuming 40% of total site energy, a leading copper operation deployed Mill Optimizer to reduce power consumption and maximize throughput. Real-time AI control cut energy per ton and increased recovery without adding complexity.

14%

kWh per ton

+8%

Throughput

+5%

Recovery

View Case Study →

−14% Energy
per Ton

Flotation · Quality Prediction

−18% Grade Variability at Flotation Feed

Fluctuating ore grades from the mine were causing inconsistent flotation performance and reagent waste. ECON Tech deployed Grade Predictor to anticipate concentrate quality and adjust flotation parameters in real time — cutting variability and reagent cost.

18%

Grade variance

+6%

Metal recovery

12%

Reagent cost

View Case Study →

−18% Grade
Variability

Digital Transformation · Traceability

Full Ore Traceability from Pit to Port

Manual ore tracking across mining, milling and flotation created data silos and reporting delays. OneFactory MES integrated 6 processing stages — enabling pit-to-port traceability, 70% reduction in manual reporting, and real-time visibility across the entire operation.

6

Stages connected

70%

Manual reporting

100%

Ore traceability

View Case Study →

100% Ore Traceability
Pit to Port

Ready to Maximize Your Mining Operation?

Book a free 45-minute consultation with one of our mining industry specialists. We'll assess your current operation and outline a custom technology roadmap — at no cost.

20+ Years in Mining No obligation Proven ROI Results-based approach