Gerdau and Fero Labs hosted joint webinar at AIST's Digital Transformation of the Steel Industy series Read more

Use machine learning to optimize your factory production

Fero is an explainable machine learning software that is powering the next wave of industrial process optimization.

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Blog

COVID-19 has popped the industrial digitization bubble

October 16, 2020

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Pushing AI in Industry: the wrong uphill battle

October 14, 2020

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Continuous Improvement in the Age of Volatility

September 28, 2020

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News

You can now view our AIST webinar with Gerdau

August 24, 2020

News

Gerdau & Fero Labs AIST webinar for the use of ML in steel industry

July 14, 2020

Quality

Discover hidden factors that affect quality, predict flaws of future products, and optimize production. Cut production costs today and prevent headaches for tomorrow.

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Maintenance

Prevent complex machine failures, identify root causes of issues, and optimize maintenance schedules. Minimize factory downtime and improve production efficiency.

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Energy

Forecast energy usage, optimize energy consumption, and streamline factory operations. Save on energy costs and improve operational performance.

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Fero Platform

Fero offers cutting-edge machine learning in an easy-to-use web interface. Fero offers:

Powerful blueprints that target key KPIs,

Easy-to-use wizards for loading and linking data sources,

Insightful visualization tools for validation,

and much more.

Why Fero?

Actionable Machine Learning

Machine learning delivers value only when you can act on its results. What affects your bottom-line is how you operate your factories. Actionable ML equips you with the trust and insights to improve you factory operations.

Transparent Insights

Traditional machine learning works as a black box, which is hard to trust and depend on. Fero delivers clarity with white box machine learning that shows exactly how each input affects the KPI you care about.

Safe Decision Making

Predictions are not enough to make safe decisions. Fero provides confidence intervals with every prediction. This way, you know when to trust your data, or when to trust your domain expertise.