Turn raw data to real intelligence with Industrial AI
Optimize production performance, elevate quality and unlock sustainable growth with Adaptive, Predictive, and Generative Industrial AI - purpose-built for metals production.
PSI delivers reliable, secure and stable infrastructure, providing traceable and explainable results based on facts rather than assumptions that empowers metals producers to safely and effectively apply AI to their transformation processes. By embedding AI directly into the Factory Model, the digital twin of your production environment, PSI connects processes, systems and decisions across the entire value chain.
From AI potential to reality: Key applications in metals production
- Enhance product quality & prediction: Use AI to predict scrap, forecast material properties, and perform real-time quality analysis.
- Optimize production & costs: Get AI recommendations for process parameters, energy consumption, and material costs.
- Increase asset reliability: Implement predictive maintenance by forecasting equipment failures to minimize unplanned downtime.
- Improve planning & scheduling: Dynamically adjust production plans in real-time to mitigate the impact of disruptions.
PSImetals embedded chatbot assistant
The Factory Model and documentation chatbot using PSImetals MCP (Model Context Protocol) transforms how production teams interact with operational knowledge. It goes beyond complex dashboards by integrating disparate data sources, from machine data to technical documentation, into a single conversational AI. Instead of navigating complex dashboards or searching across multiple systems, operators and planners can simply ask questions and receive immediate, context-aware answers. By unifying data and knowledge in a conversational interface, PSImetals democratizes access to production intelligence enabling faster decisions, reduced response times and more confident operations.
Benefits at a glance
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Instant production insights
Empowers operators with direct access to data-driven answers for critical production questions. The conversational AI queries and interprets complex, real-time data from multiple systems, replacing manual analysis and eliminating decision-making based on assumptions.
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Automated data synthesis
Reduces time spent on manual data investigation. The MCP automatically connects to and synthesizes information from disparate sources, including production systems and technical documentation, presenting a single, unified answer to the operator.
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Operation efficiency
Increases overall operational efficiency by minimizing the time between problem identification and resolution. By providing immediate root cause analysis for production delays, the system enables teams to take corrective action faster, reducing downtime and improving throughput.
Telegram anomaly detection - prevent costly downtime before it happens
PSImetals Telegram Anomaly Detection uses AI-driven Level-2 monitoring to safeguard production stability by continuously analyzing the high-volume data exchange between automation and control systems. The AI agent detects subtle digital anomalies, like a lost or out-of-order data telegram, that often signal emerging system failures long before alarms are triggered. By transforming hidden communication errors into clear operational intelligence, your team receives immediate, actionable diagnostics that pinpoint the exact root cause, dramatically reducing investigation time and empowering you to minimize production stops.
Benefits at a glance
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More production efficiency
Ensures greater production continuity and minimizes revenue loss by preventing minor digital events from escalating into major disruptions. The system provides early warnings by detecting subtle anomalies in control system data that precede unplanned downtime.
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Instant answers to questions
Empowers maintenance teams by replacing vague system alarms with precise, actionable diagnostics. The agent pinpoints the exact digital event causing the failure, enabling engineers to bypass lengthy manual investigations and focus immediately on the correct solution.
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Improved incident response
Accelerates the resolution of critical production stops from hours to minutes. By instantly identifying the digital root cause of a fault, the system eliminates the time-consuming diagnostic phase, significantly reducing the mean time to repair.
Further highlights
Machine learning boosted Mid‑Term Line Scheduling
Enhanced Line Scheduler algorithm combines advanced optimization and machine learning to generate higher quality schedules in reduced run time on the mid term horizon. It automatically respects detailed metallurgical and operational constraints down to the minute, supporting improved hot charging scheduling and throughput.
AI-powered production optimization with PSImetals Online Heat Scheduler
PSImetals Online Heat Scheduler (OHS) is an advanced scheduling software that helps metals manufacturers plan and manage their production efficiently. It aligns production schedules and routes with energy availability, optimizing the use of renewable energy to reduce costs and carbon emissions. Learn more about PSImetals Online Heat Scheduler.
Whitepaper
Learn how Industrial AI transforms fragmented data into actionable decisions
In metals production, operational efficiency and cost control depend on fast, data-driven decisions. Yet most production teams often spend valuable hours reconciling fragmented data across disconnected systems.
This whitepaper explores how Industrial AI bridges the gap between isolated data streams and actionable insights enabling plant engineers, managers and operators to optimize yield, reduce downtime and make better-informed decisions with confidence.
What you’ll discover inside:
- From hours to minutes: How unified data semantics reduce tracking, tracing, and root-cause analysis time from 24 hours to just 10 minutes.
- Context-driven intelligence: Why standard LLMs fall short on the shop floor and how Semantic Factory Models deliver traceable, fact-based recommendations.
- Zero hallucinations, maximum control: How human-in-the-loop governance and robust data guardrails ensure reliable, plant-ready execution.
