The F&B R&D Data Playbook

Food and beverage R&D teams are working harder but learning slower. The cause is not a lack of creativity. It is siloed data, disconnected systems, and manual processes that turn each experiment into a one-off event instead of a reusable asset.

This playbook shows how to move from manual data collection to a connected R&D platform: the practical workflows, illustrative ROI math, and a phased path to get there. It draws on teams like Ripple Foods, who centralized fragmented R&D data on Uncountable and cut time spent on data reconciliation by at least 30%, saving roughly half a day per scientist each week.

Structure your formulation, process, and quality data once, and everything downstream gets easier: faster iteration, fewer scale-up surprises, nutrition labels in minutes, and a foundation that makes AI in the lab actually work. Structure first, AI second.