Actionable machine learning software, designed to improve performance and reduce costs.

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Traditional process improvement is costly, slow, and partial. Modern factories can learn much more from their data, but they lack the right tools. Fero is a revolutionary machine learning application that enables factories to leverage their data to the fullest to improve critical quality KPIs, streamline maintenance, and improve energy efficiency.

Key Prediction

Testing products in capital investment heavy industries  is costly: only a subset of production is sent to laboratories and retrieving results can take several days. Using Fero, you can:

Continuously predict the quality of your production,
Automatically identify production inputs and settings that affect critical quality metrics, and
Foresee which products are likely to have flaws for planning.


Improve critical KPIs

Failure Prediction

Industrial machines operate in increasingly interconnected processes. Identifying the root cause of production line stoppage where machines affect other machines can be difficult. Using Fero, you can:

Predict complex machine failures before they even happen,
Automatically detect anomalous patterns of many machines, and
Anticipate group failures of machines that are about to impede production.


Streamline machine servicing

Sensor Forecasting

Factories track energy consumption using many sensors that are difficult to forecast. Using Fero, you can:

Predict sensor values and visualize consumption trends, and
Understand how decision made today will affect energy consumption tomorrow.


Improve energy usage

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