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.
Read ArticleHow 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.
Read ArticleFero 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.
Read ArticleHow 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
