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IntelligentX Brewing Co. — AI-powered beer to suit your preferences
IntelligentX Brewing Co. uses AI to brew the best beer for your preferences.
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Replies
I invested in Intelligent X after tasting a very early version of the beer. Over the last little while, the product has gotten better and better from a flavour and variety standpoint. We're now using it as the official beer of many Techstars events, and I'm excited to see this launch publicly for folks to order and try.
Pros:Great tasting beer. Interesting feedback mechanics.
Cons:None so far.
Talk about AI for good! I had a brew back in 2016 and knew they were in for great things. There's craft beer and then there's intelligently crafted beer.
That's the only possible future for the beer! (and food industry in general)
A big fan of the product, tried it a numerous time and was amazed by the quality. 🙂
Keep up the great work, folks!
Big fan of Rob and Intelligent X 👏🏻 Infinitely scalable product that could be applied to various industries that want to improve their current feedback loop and consumer insight.
This is pretttttttty nifty. Apps to help you track which beers you like have existed for years, but none (afaik) go out of their way to design NEW beers that you specifically might like and ship them directly to you (instead of just suggesting beers that exist already and might be difficult to find). 👏
So sometimes I want a porter, sometimes an IPA, sometimes a pilsner, sometimes a sour, depending on my mood and what I'm eating. Is the AI able to distinguish between an individual's different use cases (or can I just tell the AI)?
Question: How does this scale? In other words, how does this company generate economies of scale if most beers are personalized beers? Or are the AI optimizations only running 2-3 possible changes to minimize needing a unique beer for each customer?
@chris_crompton1 Hey Chris. Great question. To be clear, in theory we can use the technology to optimise a single mass market beer for everyone, or a whole range of different beers, potentially even one for each customer.
Now, it’s obviously more expensive to make individual beers than it is large volume batches. In actual fact, our supply chain (I.e., the breweries we work with) puts a constraint on the number of different products we can make at any time. Our core approach is to optimise product clusters and supply chain at the same time (constrained optimisation) - if we discover a new product needs to be made, then we expand our supply chain!
This approach can pretty much be applied to all consumer products, even services as well. The problem we’re solving is universal, hence we believe this is infinitely scalable.
Having tried my first 'beer that learns' about a month ago, I have to say I was skeptical at first - ale and intelligence doesn't usually feature in the same sentence. Safe to say, I was pleasantly surprised - the IPA tastes great. Love the idea of being able to feed a model that creates products that are better suited to my tastes. Look forward to seeing what comes next...
Pros:Great tasting beer
Cons:TBC...
The question is: Is the human feed back trustworthy when making a product like beer, let's not forget history of cokecola trying to change its formula by responding to what customers thought what they liked, and that didnt work very well in the end.
Part of the beauty of beer is the variety of it, and fun part is the try different beers, not to find the best tasting one every single time.
@jarodise Hey Jarod. Part of the reason AI is so important here is that it helps us figure out how to translate what humans say into a positive change in the recipe. For example, early on, everyone said they wanted a higher ABV in the recipe, but the algorithms learnt that that resulted in a beer people liked less - the algorithms made a mistake, then learnt not to make the same mistake again.
I totally agree on variety - we're not trying to make a single beer, rather we want to make a large variety that is constantly iterating. This means we want people to constantly be trying new beer types with us. Our job is just to make sure the experimentation (from both the brewer and the consumer side) is the best it can be.
@tostartafire Hey Dan, check out my answer to Chris above.
Although you’re right, it’s not viable to make a single beer for everyone yet - as we expand our supply chain and manufacturing becomes more efficient, the possibility is there to do just that.
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