Industrial AI for Mining, Metals & Materials

Winning the race for critical materials and the materials shaping a more sustainable world depends on how effectively your experts and industrial AI work together.

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Rio Tinto: Reducing Coil Tangles in Aluminum Cable

At Rio Tinto, signal analysis helped solve a high-stakes quality issue in their aluminum coiling process, one that directly impacted customer satisfaction.

What began as a technical deep dive became a case study in operational excellence.

Navigating a New Era of Demand

The race to electrification, and the rapid rise of AI, are reshaping mining and metals. As demand for critical minerals accelerates to support clean energy, semiconductor manufacturing, and data center expansion, companies are rebalancing portfolios, adapting supply chains, and operating under increasing uncertainty.

Make Faster, More Confident Decisions

In this environment, resilience is defined by how quickly you can understand and respond to variability. Seeq’s mining analytics software accelerates decision-making across the value chain, helping teams stabilize operations, improve throughput, enhance safety, and reduce environmental impact while retaining and scaling expertise across assets.

Realized Customer Business Impact

Seeq helps customers improve recovery and throughput, stabilize quality, and reduce energy use and emissions

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95%

Reduction in reporting time by Alcoa

$1M

Saved per avoided incident by Guardian Glass

15%

Longer grinding runs at Boliden

1.5%

Copper Recovery Increase at Caserones, Lundin Mining

Key Value Drivers for Mining, Metals & Materials

Operational Excellence

Optimize processes
Predict and mitigate excursions
Increase margin

Asset Health and Reliability

Reduce downtime
Extend equipment life
Lower maintenance cost

Environmental Performance

Reduce energy intensity and optimize water usage
Minimize material loss, rework, and waste
Streamline environmental and regulatory reporting

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Creating Predictive Models with Seeq

By leveraging Seeq, CEMEX gains real-time insights into process performance and can quickly generate predictive models, which previously required outside expertise and took months to complete. Seeq also helps the team achieve its sustainability goals by measuring performance metrics and enhancing equipment efficiency without requiring extensive coding expertise.

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