Industry Focus · Metals & Steel
ECON Tech has been inside steel plants for 27+ years — modernizing control systems, deploying AI, and automating processes without stopping production. From EAF to CCM, we speak your language.
Years in Steel
Avg. Energy Savings
Avg. Yield Improvement
CO₂ Emissions Reduction
The metals industry operates under constant pressure — aging infrastructure, high energy intensity, strict quality tolerances, and increasing regulatory demands on emissions. Generic technology doesn't cut it. You need a partner who has been on the plant floor.
See How We Solve It →End-of-life controllers, obsolete HMIs, and undocumented logic put production continuity at risk — migration without stopping the plant is a critical challenge.
Electricity, electrodes, and fuel account for a major share of production cost. Without real-time AI optimization, energy is wasted every heat cycle.
Uncontrolled temperature variability, slag chemistry, and superheat deviations lead to surface defects, inclusions, and rework that erode margins.
Tightening environmental regulations and corporate sustainability targets demand real-time emissions tracking and active process optimization to reduce CO₂ per ton.
Intelligent models optimized for every step of the steelmaking process — from the Electric Arc Furnace to the Continuous Casting Machine.
Optimize energy, charge mix, and power curves in real time — reducing tap-to-tap time, electrode consumption, and total energy per ton.
Real-time manufacturing execution system for steel — connecting production orders, heat tracking, quality records, and OEE reporting across EAF, LF, VD, and CCM in a single integrated platform.
Intelligent SuperHeat optimization system for EAF and Ladle Furnace. Increases productivity by 9%, reduces energy by 2%, and cuts CCM tundish temperature variability by 7.2%.
AI-powered dynamic power model for EAF and LF. Reduces Tap-to-Tap time by 8% and minimizes energy consumption through intelligent power curve optimization.
Continuous mass and energy balance engine for EAF with DRI, HBI, or Scrap loads. Determines optimal DRI flow or scrap charge timing in real time to maximize yield and minimize energy per ton.
AI-driven scrap mix optimization to minimize electrode consumption, maximize metallic yield, and reduce energy cost per heat in the EAF steelmaking process.
AI model that predicts electrode wear in real time — anticipating consumption rate, optimizing positioning, and reducing electrode breakage risk to lower cost per ton and avoid unplanned stoppages.
Real-time detection model for EAF slag carryover to the ladle during tapping — protecting downstream LF refining, reducing re-phosphorization risk, and improving steel cleanliness from the first process step.
Hit target temperature and chemistry on the first attempt — reducing energy additions, alloy consumption, and secondary metallurgy cycle time.
Real-time manufacturing execution system for steel — connecting production orders, heat tracking, quality records, and OEE reporting across EAF, LF, VD, and CCM in a single integrated platform.
Intelligent SuperHeat optimization system for EAF and Ladle Furnace. Increases productivity by 9%, reduces energy by 2%, and cuts CCM tundish temperature variability by 7.2%.
AI-powered dynamic power model for EAF and LF. Reduces Tap-to-Tap time by 8% and minimizes energy consumption through intelligent power curve optimization.
Dynamic slag recipe generation for secondary metallurgy — predicts basicity and chemical composition in real time. Reduces energy by 4.7%, additions by 35%, and increases productivity by 5.6%.
Predict hydrogen content and steel exposure time during vacuum treatment — preventing quality defects and ensuring consistent metallurgical targets before casting.
Real-time manufacturing execution system for steel — connecting production orders, heat tracking, quality records, and OEE reporting across EAF, LF, VD, and CCM in a single integrated platform.
Predictive model for hydrogen content in liquid steel — anticipating degassing requirements and enabling proactive process adjustments before casting.
Real-time prediction of steel exposure time during vacuum degassing — preventing quality defects, optimizing cycle time, and ensuring consistent metallurgical targets.
Predict dimensional deviations and optimize energy across the casting process — reducing rejects, improving surface quality, and maximizing yield at the final stage.
Real-time manufacturing execution system for steel — connecting production orders, heat tracking, quality records, and OEE reporting across EAF, LF, VD, and CCM in a single integrated platform.
AI-based shape and dimensional quality prediction for continuous casting — detecting cross-section deviations and enabling real-time mold adjustments to reduce rejects.
Optimizes SuperHeat at the tundish level — reducing temperature variability by 7.2% for consistent casting conditions, fewer breakouts, and improved surface and internal quality of CCM products.
Predictive model for submerged entry nozzle (SEN) wear estimation in continuous casting — anticipating clogging and erosion patterns to optimize nozzle replacement intervals, prevent breakouts, and maintain consistent steel flow and slab quality.
ECON Tech's models are built specifically for the metals industry — not generic AI adapted for steel. Here's what that difference means for your operation.
Operators receive live guidance on energy, temperature, and alloy additions — actionable decisions at the right moment, not just reports after the heat.
Every model combines machine learning with mathematical process models. Your team understands why the AI makes each recommendation — and can trust the output.
Deep industry experience with steel mills in Mexico and LATAM. First-class support from engineers who know your process firsthand — not just your data.
Deploys on your existing SCADA, MES, and PLC infrastructure. No rip-and-replace, no production interruption — AI that fits your plant, not the other way around.
One integrated partner for Controls, Data, AI, and Robotics across the entire melt shop. No gaps, no finger-pointing between vendors — one roadmap, one team.
Bilingual dashboards (ES/EN) designed for floor operators — not data scientists. Zero complexity at the plant level, maximum adoption from day one.
Book a free 45-minute consultation with one of our metals industry specialists. We'll assess your current operation and outline a custom technology roadmap — at no cost.