Wynenot builds taste engines. We morph distinct datasets, reviews in the millions, real performance votes, expert enrichment, into preference structures a machine can reason with. The result answers the one question a catalog cannot: what will this person love next.
The first engine. A recommender that knows 270,000+ wines and reads a bottle list the way a sommelier does.
The deepest vertical. 130,000+ scents mapped and enriched in depth, accord by accord, against tens of thousands of real wear votes.
115,000+ bottles, single malt to mezcal, flavor-vectorized four different ways against 1,600+ distilleries.
Fifteen thousand roasts and counting.