News & Insights
A Better Way To Control Process Quality
Fero Labs has developed a software product to help operators and engineers reduce process volatility, gain more control over that process, and consistently produce higher quality product.
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How AI Can Help the Environment
Fero Labs' AI-driven optimization software learns from historical data to recommend the minimum amount of new additional material — if any — that needs to be added to steel. This has prevented an estimated 450,000 tons of CO2 emissions per year, according to a report by the Global Partnership on Artificial Intelligence.
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Fero Labs Makes CELSA Nordic's Steel Production More Affordable & Sustainable
We're excited to announce our partnership with CELSA Nordic, part of Celsa Group, a leading European manufacturer of circular and low-emission steel. In a pilot program with the group's Norway plant, Fero's white-box machine learning algorithms demonstrated the ability to reduce emissions and costs by making production more efficient.
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How Gerdau Saved $3/Ton of Steel With White-Box Machine Learning
Adopting a machine learning-based workflow reduced one Gerdau plant's costs by $3/ton, as well as conserving over half a million pounds of alloys and reducing quality variation by 15%, according to results shared at last week's Digital Transformation Forum in Pittsburgh.
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5 Best Practices for Optimizing Steel Production With Machine Learning
How Your Factory Can Use Less Energy
Report: Fero prevents 450,000 tons of CO2 emissions per year
Machine Learning for Manufacturers
Optimize Batch and Continuous Processes With Fero
3 Reasons Steel Manufacturers Need Machine Learning
Alp Kucukelbir explains ML for steel mills
Gerdau Reduces Manufacturing Costs Using Fero AI
Steel Producer Reduces Costs Using AI in Manufacturing
