Can Artificial Intelligence Be Used for Making Better Beer? - Coffee with CIS - Latest News & Articles

Can Artificial Intelligence Be Used for Making Better Beer?

Artificial intelligence together with its various applications have been turning the impossible into possible, lately. The ideas that may have seemed unlikely not a long time back are now actually part of our reality. Every industry today is trying to find the potential of utilizing artificial intelligence solutions in its functioning, with the hope of creating better products and offering improved services for the consumers. In fact, the demand and popularity of AI software development has also reached the brewery industry.

The industry is in the process of using artificial intelligence development to improve the quality of beer being produced. Many prominent brewing companies have been experimenting with the idea of using artificial intelligence for making the beer production process more streamlined. We’ll look at some noteworthy examples here.

Carlsberg is a well-known brewer around the world. This famous brewer has tried its hand at integrating artificial intelligence into the brewing process, through an initiative called the “Beer Fingerprinting Project”. This project has been launched in collaboration with the Interdisciplinary Nanoscience Center of Aarhus University, Microsoft, and the Technical University of Denmark. The project has the potential to transform the production process for new beers. As part of this initiative, a taste-sensor platform is used to conduct an analysis of the various yeasts and clearly recognize the fine differences and nuances between them.

Since yeast is one of the key ingredients used in making beer, the others being barley, water, and hops, understanding and analyzing the taste of yeast can have a big impact on the flavor of the beer created. This taste-sensor platform proves to be a great help in the Carlsberg laboratory where distinct flavors of beers are worked upon regularly; the platform helps in drawing clear distinctions between these flavors easily and quickly. The sensor helps in associating a unique flavor with each of the beer sample being created. An AI system then does the job of gathering all the resulting data from this analysis and understanding. The data thus gathered can be extremely useful in producing the new beers.

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The process of identifying the subtle flavors is something that usually requires human effort. Technology hasn’t really been used in this area up till now. But this may undergo a change with AI software development done to specifically cater to this purpose. Relying only on human effort for discerning the flavors naturally takes quite an amount of time. The more samples there are to taste and analyze, the lengthier the process will become.

But what the taste-sensor platform is able to accomplish here is speed up this process significantly. As a result, the company will be able to bring its products into the market much more quickly. It is not only the speed of creating the product that is improved, it is the quality of product that gets improved as well. The use of AI programming software can assist in ensuring that the product created meets the defined quality standards.

In this example of Carlsberg, we have seen how incredibly useful artificial intelligence development has proved to be in streamlining the process of making beer, making it feasible to produce better products at a faster rate.

After studying the example of Carlsberg, let’s now look at another great example of a renowned brewing company making use of artificial intelligence solutions. We are talking about IntelligentX Brewing Co. What this brewing company has done is make four distinct beer varieties, these are Pale AI, Black AI, Amber AI, and Golden AI. The company then invites feedback from the customers for each of these beer varieties that they try out. Through this feedback, an incredible amount of data is received about what the customers thought about the beer varieties. An artificial intelligence algorithm then processed this received data to give useful suggestions for improvement to the brewmaster. To accept or reject these suggestions provided by the algorithm is a decision that will ultimately rest with the brewmaster.

There are two important points to take away from this particular implementation of AI software development. Firstly, what customers think about the product is being heard. This is important given that happiness and satisfaction of customers with a product is a key focus. Secondly, the use of AI here doesn’t substitute the chief role of the brewmaster. The AI only provides valuable inputs to the brewmaster to help with the decision-making on how to make the product better.


Above, we looked at two big examples of AI programming software being used in beer making. These innovative applications of artificial intelligence in brewery industry are beneficial for businesses as well as customers. From being able to get superior quality products out in the market at a faster rate to being able to keep enhancing the quality of the products on the basis of feedback from customers, businesses are able to meet the expectations of their customers with greater ease. On the other hand, customers are benefiting too from the availability of better products. These examples clearly demonstrate that there is indeed a great scope of AI implementation in making beer.