Support fast service, nutrition visibility, sustainability and student wellbeing across university food environments.
Bring more visibility to meals, portions, service workflows and consumption patterns.
Reduce manual counting and improve operational consistency.
Support intake and waste-related workflows in high-volume dining environments.
In Universities, manual food logging and fragmented information can make it difficult to monitor intake, portions, service performance or nutrition-related decision-making consistently.
An enterprise API for turning meal tray images into structured operational data: food item recognition, portion estimation, intake monitoring, food waste analysis and smart checkout workflows.
A mobile app for capturing meals, reviewing AI results and tracking food and nutrition data.
A facility hardware solution for automated tray recognition, self-checkout and foodservice workflows.
Tell us about your workflow, users or operational environment and we will recommend the right setup.
