Predict your numbers
Estimate OG, FG, ABV, and attenuation before you brew, so a new recipe or grain bill holds fewer surprises on brew day.
See howNo hype, no jargon. A clear look at what this technology actually is, and the practical ways it can help in the brewhouse and the still room.
If you can read a brew log, you can understand AI. It is a tool that learns patterns from brewing data, and you stay the brewer in charge of every decision.
Three words come up a lot. Here they are in brewing terms, no computer science required.
A very well-read apprentice. It has studied huge amounts of text and data. It is fast and tireless, but it has never tasted a beer or run your kit.
Learning from examples. Show it enough past brews and it spots the patterns, like how a brewer learns a yeast strain after a hundred batches, but in seconds.
How you brief the apprentice. The more brewing context you give it (recipe, numbers, what went wrong) the more useful the answer comes back.
Not science fiction. Practical jobs where pattern-spotting and fast answers save time, reduce waste, and protect quality, with you still making the call.
Estimate OG, FG, ABV, and attenuation before you brew, so a new recipe or grain bill holds fewer surprises on brew day.
See howFlag the warning signs of diacetyl, DMS, or oxidation from your sensory notes and process data, before a whole batch is at risk.
See howSpot drift in fermentation curves, temperatures, and pH against your own standard, so batch ten tastes like batch one.
See howForecast how much to brew and when, using past sales and seasonality, so you tie up less cash in tanks and waste less beer.
See howAsk questions of your brew logs, SOPs, and recipes in plain language, turning years of notes into answers you can find in seconds.
See howHand the paperwork (traceability, duty records, first drafts of tasting notes) to the tool, and keep your hours for brewing and people.
See howAnkur Napa spent a decade in breweries (AB InBev, SABMiller, United Breweries) before building AI and data tools for beer, wine, and spirits. Select consulting engagements in demand forecasting, quality and process analytics, dashboards, and production-grade GenAI.
Deeper, practitioner-grounded writing on AI and data across beer, wine, and whiskey, from the main Beer, Wine, Whiskey & AI blog. Updated automatically as new pieces publish.
A bench-by-bench guide to where AI genuinely fits in the brewery QC lab, and where a confident model quietly breaks.
Read the seriesBuilding a global beer sensory tasting tool end to end on Microsoft Fabric with the Rayfin stack.
Read the buildBeyond the headlines: what AI is really doing in breweries in 2026, and where the hype quietly breaks.
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