Working Smarter The distillery with an AI-backed plan to lift their spirits
Oct 15, 2025
Jordan Spitzer, the Head of Flavor at Bespoken Spirits, expertly combines machine learning with whiskey-making, crafting profiles in days instead of years. Wane Lindsey, the Director of Marketing, utilizes AI for strategic campaigns and brand identity. They discuss the fascinating balance between leveraging AI for efficiency and maintaining the human touch in taste and creativity. From rapid whiskey maturation to the clever use of AI for targeted marketing, this conversation reveals how innovation and tradition can coexist in the spirits industry.
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ML Models Guide Rapid Flavor Engineering
- Bespoken uses machine learning and statistical modeling to predict optimal maturation parameters from large experimental datasets.
- This approach expands possibilities beyond traditional aging by simulating wood–spirit interactions rapidly.
Garage Experiments Built The Dataset
- Founder Martin toasted microstaves, used sous vide and recorded sensory scores to train the model.
- Jordan tasted iterative garage batches and fed his scoring back to refine the system.
High-Dimensional Recipe Optimization
- The model optimizes many variables (toasting, charring, wood type, time, temperature, pH, sensory scores) to design recipes.
- Feeding sensory data plus chemistry yields millions of feasible formulations to target a specific flavor profile.