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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

3 Ways Manufacturers Drive Value With Digital Twin Technology

December 1, 2021

Blog

Fero Prevents 450,000 Tons of CO2 Emissions

November 29, 2021

Blog

Our Predictions for Manufacturing in 2022

November 15, 2021

News

Report: Fero prevents 450,000 tons of CO2 emissions per year

November 29, 2021

News

Climate Change Will Be a Major Focus for Global Industrial Companies

November 3, 2021

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.

Screenshot of the Fero software with a quality use case open, showing confidence bands around a prediction.

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 your 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.