Use cases Daily information segmented according to business sectors and countries of interest to make the most competitive decisions

Creation of predictive models to achieve accuracy on the entire batch of components


Alcorta Forging Group is a company located in Elgoibar (Guipuzcoa), with over a 100 years of history in the forging sector and international presence in countries such as China, USA and South Africa. In the hot forging process of steel, the conditions are very severe due to process waste and the required high temperatures. This is why, through the implementation of technologies such as IoT, AI or Big Data, a process control system has been developed using predictive models, with the aim to achieve excellence in the hot forging process to be competitive in the difficult automotive market.

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Create machine learning models, which relate data from the manufacturing process with subsequent quality data, in order to predict the quality of the parts based on the data obtained in real time: firstly, data is captured in extreme environments and then set up for reading and analysis in each manufacturing batch.

Area of the company where the solution is focused:


Company size:





Elgoibar (Gipuzkoa)

Benefits of the Solution:

  • Real-time production process data analysis
  • Creation of predictive models through machine learning

Incorporated Technologies:

  • 3D
  • Machine Learning

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Daily information segmented according to business
sectors and countries of interest to make the most competitive

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