AI in the manufacturing industry

The roadmap of AI in a traditional industry

While we dive into a more digital world, where everything is being measured, stored and analyzed, some industries take longer to adopt new technologies. It’s clear that the manufacturing industry is one of them, because of several reasons.

With the growing use of AI, over time, we believe each manufacturing company will have its digital twin, from which employees will be able to learn, understand, and improve their processes to be more efficient and reduce their costs and their waste.

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Mechanistic modelling is what is normally used to predict and understand the performance of their operations.

Now AI is complementing it giving value to their daily experimental data.


Quality control

Detecting and predicting impurities in the final products

Intemic’s platform can be used for quality control. By analyzing data from sensors and other sources, AI algorithms can detect defects in real-time and alert operators to take corrective action before it’s too late. This improves product quality, reduces waste, and ensures compliance with quality standards.

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