While the adoption of “smart” brewing technologies has given a significant boost to the production effectiveness of the brewing industry, certain critical issues – most importantly, the complexities of the mashing process – still miss game-changing technological solutions. To date, the optimal mashing process – which sets some of the very essence of the style of the beer – has been determined by breweries manually, through producing trial brews and series of sampling, resulting in inefficiencies, greater costs, and incremental revenue loss. Our objective is to tackle this challenge by developing a digital simulation (our product, BeerPredictor), which supports setting and defining the correct mashing parameters, allowing small independent brewers to meet the specified carbohydrate composition of a particular beer style without intensive and costly manual tests – trial-and-error approaches – and analytical follow-up, based on the malt batch analytical parameters.
Information source: Digitbrain
Karlwood Ltd (Hungary), EN-CO Software Private Co Limited (Hungary), Deodat 21 (Private Partnership), Innomine DIH (Hungary)
Food & Beverage
Brewing industry, mashing process, digital simulation