--- title: Smart Metrix | ECON Tech — Applied AI & Machine Learning for Industrial Operations description: Smart Metrix by ECON Tech — Applied AI for industry. Machine Learning models combined with mathematical process models deliver data-driven decision making, advanced process control, predictive maintenance, quality prediction, and energy optimization. --- [![ECON Tech](https://econ-tech.com/hs-fs/hubfs/03-Logo%20ECON.png?height=40&name=03-Logo%20ECON.png)](https://econ-tech.com/?hsLang=es-mx) - [What We Do](https://econ-tech.com/#what) - [Services](https://econ-tech.com/#services) - [Industries](https://econ-tech.com/#industries) - [Why Us](https://econ-tech.com/#why) [Start Your Project →](https://econ-tech.com/services/smart-metrix#cta) EN ES [Home](https://econ-tech.com/?hsLang=es-mx) › [Our Solutions](https://econ-tech.com/#services) › Smart Metrix Our Solutions · Pillar 04 # Smart Metrix Powered by ECON Tech · Applied AI for Industry Mathematical models meet machine learning — empowering industrial teams to make faster, smarter, data-driven decisions that optimize processes, predict failures, and reduce costs in real time. [Get a Free Assessment →](https://econ-tech.com/services/smart-metrix#cta) [Our AI Solutions](https://econ-tech.com/services/smart-metrix#sm-solutions) **-15%** Avg. Energy Savings **+30%** Avg. Yield Improvement **-25%** Avg. CO₂ Emissions Reduction What is Smart Metrix ## More Than Metrics. Applied Intelligence. Smart Metrix is ECON Tech's applied AI platform — built specifically for industrial environments. Unlike generic data tools, every Smart Metrix model is a hybrid of machine learning and process-specific mathematical models developed with domain engineers who know your industry. The result: AI that doesn't just find patterns in data — it understands why they exist. Models that generalize correctly to new operating conditions. Predictions that plant operators can trust and act on. Decision support that empowers people, not replaces them. [Explore Our AI Solutions →](https://econ-tech.com/services/smart-metrix#sm-solutions) #### Machine Learning Neural networks, regression models, and pattern recognition trained on your historical process data #### Mathematical Model · Process Know How Physics-based models and expert process knowledge that constrain and guide the AI — ensuring predictions make physical sense #### Smart Metrix Data-driven decisions that empower your people and optimize your processes — in real time Application Areas ## Four Areas. Measurable Impact. Smart Metrix models are deployed across four high-value domains where AI consistently delivers measurable ROI in industrial operations. 01 #### Advanced Process Control Closed-loop AI optimization that continuously tunes process variables — reducing variability, improving yield, and cutting energy consumption. 02 #### Predictive Maintenance Machine health monitoring that detects anomalous patterns and forecasts failures days in advance — before they become costly breakdowns. 03 #### Quality Prediction ML models that discover hidden process factors affecting final product quality — enabling proactive adjustments before defects occur. 04 #### Energy & Emissions Optimization AI-driven energy management that models consumption patterns, optimizes demand, and tracks CO₂ emissions in real time — turning sustainability targets into measurable, daily operational results. Our AI Solutions ## Seven Products. One Intelligent Platform. Industry-specific AI models — each one a hybrid of machine learning and process engineering expertise, deployed inside your existing SCADA and MES environment. NMPC · Multi-Industry ### Advanced Process Control — NMPC Non-Linear Model Predictive Control (NMPC) that combines AI with physics-based process models for closed-loop optimization. Continuously calculates the optimal set of manipulated variables to keep your process at peak performance — automatically. - Closed-loop optimization of process variables in real time - Non-linear models trained on your process data and physics - Reduces process variability and improves yield consistency - Seamless integration with existing PLC/DCS control layer Predictive AI · Multi-Industry ### Predictive Maintenance AI-based asset health monitoring that learns the normal behavior of your equipment and detects anomalous patterns that precede failures. Forecast breakdowns days in advance — schedule maintenance on your terms, not the machine's. - Anomaly detection on vibration, temperature, current, and process signals - Remaining useful life (RUL) estimation per asset - Failure mode classification with root cause indicators - Integration with CMMS and maintenance work order systems Quality AI · Multi-Industry ### Quality Prediction Machine learning models combined with digital process models that identify the hidden process variables driving quality outcomes. Predict final product quality in real time during production — adjust before defects occur, not after. - Real-time quality prediction during active production runs - Feature importance analysis — which variables drive quality - Set-point recommendations to hit quality targets - Reduces scrap, rework, and customer rejections Energy AI · Multi-Industry ### Energy Monitoring with AI An AI layer on top of energy monitoring that models how production decisions affect energy consumption — today and tomorrow. Optimize demand, reduce peak charges, and understand the true energy cost of every product, shift, and machine state. - AI-driven energy consumption forecasting by shift and product - Understand how today's decisions impact tomorrow's energy cost - Optimal production scheduling to minimize peak demand - ISO 50001-aligned reporting with AI-generated insights AutoHeat · Metals ### AutoHeat Intelligent temperature and heat prediction for steelmaking and metallurgical processes. AutoHeat models the thermal state of liquid metal across each stage — predicting tap temperature with high accuracy and recommending optimal energy inputs to hit target temperature first time. - Tap temperature prediction for EAF, BOF, and ladle furnace - Optimal energy input recommendations to hit target temperature - Reduces energy consumption and electrode costs - Integrated with process control for semi-automated operation Steel-AI-dditions · Metals ### Steel-AI-dditions AI-powered alloy addition optimization for secondary metallurgy. Calculates the precise quantity and sequence of additions — aluminum, calcium, ferroalloys — to hit chemical composition targets at minimum cost, accounting for recovery rates and bath conditions in real time. - Optimal alloy additions to hit grade specification at minimum cost - Real-time recovery rate models per element and heat conditions - Reduces alloy consumption and out-of-spec heats - Supports ladle furnace, RH, and VD secondary metallurgy processes VacuumAI · Metals ### VacuumAI Intelligent optimization of vacuum degassing processes (VD/VOD/RH). VacuumAI models the degassing kinetics using a hybrid ML + thermodynamic approach — predicting final hydrogen and nitrogen content and recommending optimal vacuum cycle parameters to achieve target cleanliness. - Prediction of final H₂ and N₂ content after vacuum treatment - Optimal vacuum cycle time and argon flow recommendations - Hybrid thermodynamic + ML degassing kinetics model - Reduces cycle time and achieves cleanliness targets consistently H₂ H2Predictor · Metals ### H2Predictor Real-time prediction of hydrogen content in liquid steel throughout the steelmaking process. H2Predictor uses a thermodynamic model combined with machine learning to estimate hydrogen pickup and predict the result after degassing — enabling operators to take proactive action before casting. - Real-time H₂ content estimation throughout the heat cycle - Predicts hydrogen after vacuum treatment before measuring - Identifies hydrogen pickup sources and risk conditions - Reduces costly hydrogen-related defects in finished products ShapeSense · Metals ### ShapeSense AI-powered real-time monitoring and prediction of strand geometry and shape in continuous casting. ShapeSense correlates casting machine parameters with product geometry — detecting shape deviations as they develop and recommending corrective actions before they become rejects. - Real-time strand shape and geometry monitoring during casting - Early detection of bulging, misalignment, and surface defects - Correlates casting parameters to final product geometry - Reduces shape rejects and improves dimensional consistency Trusted by Partners SIEMENS Partner Ignition & SepaSoft Premier Integrator Universal Robots & MiR Certified Cognex Vision OPTO 22 Partner Why Smart Metrix ## AI That Engineers Trust 01 #### Hybrid Models — Not Black Boxes Every Smart Metrix model combines machine learning with mathematical process models. Your engineers understand why the AI makes each recommendation — and can trust the output. 02 #### Industry-Specific, Not Generic We don't apply general-purpose AI tools to industrial problems. Smart Metrix models are built with metallurgical, chemical, and mechanical process knowledge baked in from day one. 03 #### Empower People — Not Replace Them Smart Metrix is decision-support AI. Our models surface insights, recommend actions, and explain predictions — so your operators and engineers make better decisions, faster. 04 #### Embedded in Your Operation Smart Metrix runs inside your existing SCADA, MES, and control systems — not as an external dashboard. AI recommendations appear where operators already work, in context. Start Today ## Ready to Put AI to Work in Your Plant? Book a free 45-minute consultation with one of our AI & analytics engineers. We'll assess your process data environment and outline a Smart Metrix implementation path — at no cost. 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