Capture the work behind every service.
Restaurant environments bring together tools, ingredients, timing, heat, surfaces, and people. That complexity is exactly what physical AI needs to learn.
Plan a collection ↗Why local relationships matter.
We coordinate around real shifts and real people, creating collection plans that fit the environment instead of interrupting it.
What we can capture.
Potential collection areas include:
- Food preparation
- Knife, utensil, and appliance use
- Plating and presentation
- Cleaning and resetting stations
- Service handoffs
- Movement through busy kitchens
From task definition to usable data.
Tell us which environment and behaviors your model needs to understand.