Fero Labs presenting at AI in Production Conference in Hannover on September 25thRead more

Use machine learning to optimize your factory production

Fero is an industrial machine learning application that is powering the next wave of industrial process improvement.

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Blog

A Beginner’s Guide to Interpretable Machine Learning

July 21, 2019

Tech

Blog

Beyond Six Sigma: Process Improvement with Machine Learning

June 18, 2019

Tech

Blog

Why Netflix Can't Run a Factory

May 17, 2019

Tech

News

Fero is designated as a Preferred Solution by Microsoft

July 11, 2019

News

Fero presenting at International Conference AI in Production

July 9, 2019

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.