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Predictive Recommendations for Wine Buyers1-10 Employees
  • B2C
  • Early Stage
    Startup in initial stages
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Predictive Recommendations for Wine Buyers
Wine, like music, art, beer, or any niche product, fosters a level of acumen from its user that only grows over time. Music is the “white whale” of user-responsive products, with Pandora, Spotify, Rdio dominating the landscape, and delivering the user a more robust portfolio the more he/she engages with it.

Wine has yet to be “mapped” in a similar manner, despite myriad products/styles available to suit a growingly complex and diverse user field.

We've cracked the code using scaleable big data in the wine industry. Our recommendations are quantified and grounded in hard science (no snobby wine reviews here!). We aim to de-mystify the shopping experience by presenting comprehensive flavor analyses in an easy-to-grasp, visually compelling, interactive learning tool.

Our visual algorithmic system allows customers to figure out what wines are best suited to their tastes and explore the wines of the world.

And mapping wine is just the start...
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Brynna M Baldauf
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SEO : Oenophile : Epicurean : Adrenaline Junkie
Joern Tittel
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Todd McCarthy
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Worked at @Splitbin • Studied at @George Washington University
Total raised

$20K

Funded over

1 round

Latest round

Seed (Jun 2013)

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