From plate to insight, every step is evidence-based
FoodTrack combines domain-specific AI research with established nutrition science. Our models are trained and validated for the real meals people eat every day, so the guidance you receive reflects your food, your habits, and your goals not averages.
A single photo is enough. Our computer-vision models identify dishes, estimate portion sizes, and break meals down into their nutritional components in seconds. The models are continuously refined against diverse, real-world cuisines including the mixed plates and shared dishes that generic trackers struggle with.
Recognition is only the first step. Every insight FoodTrack surfaces is grounded in peer-reviewed nutrition research and authoritative food-composition databases. Recommendations adapt to your dietary needs and health context, and we are transparent about the confidence behind each estimate.
Nutrition never acts alone. By pairing meal data with continuous signals from the FoodTrack Smart Ring — sleep, activity, and heart rate — and perspectives from Traditional Chinese Medicine wellness practice, we build a fuller picture of your health and turn it into guidance you can act on every day.
