Advancing the future of eating behavior and consumer research through cutting-edge AI technology
Measuring eating behavior and food consumption patterns is often time-consuming, labor-intensive, and prone to error.
Today, researchers still rely on manual video coding to analyze how people eat—slowing down insights and increasing costs.
At Eatpol, we’re transforming research with AI and computer vision to automate the analysis process.
Our tool extracts bite, chew, and sip counts, tracks eating and drinking duration, detects emotions, and estimates heart rate — all from a single video. No more manual coding—just faster, more reliable insights into how people eat in real-life settings.