Restaurants & Food Service

Industry Context

Restaurants face labor pressure, unpredictable demand, and the need for consistency. Kitchen automation — prep, cooking, plating, serving, cleaning — requires dexterity, bimanual coordination, and the ability to follow verbal instructions. Learning-based systems (e.g., Mobile ALOHA, OpenVLA) are promising but need domain-specific data.

What We Offer

• Data Collection — Bimanual demonstrations for cooking, plating, cleaning, and inventory. Language-conditioned ("make a salad", "wipe the counter", "portion the rice"). Mobile + manipulation for whole-body tasks.
• A1 Mini / Mobile ALOHA-style — Bimanual teleoperation platforms for rapid data collection. Low-cost, open hardware. Same-day pickup in Palo Alto.
• W1 Mobile Manipulator — Navigate kitchens, reach shelves, deliver orders. Mobile + arm for complex restaurant environments.
• Fearless Data Platform — Log task failures, spills, and retries. Improve robustness over time. Free tier for pilots.

Value We Deliver

• Labor scaling — Automate repetitive prep and cleanup; keep humans for complex cooking and customer interaction.
• Consistency — Same recipes, same plating, every time. No variance across shifts.
• Flexibility — Language-conditioned policies adapt to new menu items and instructions.
• Speed to deployment — We collect data on your workflows; you train and deploy. No long integration cycles.

Example Use Cases

• Kitchen prep: chopping, mixing, portioning, mise en place
• Plating and presentation
• Serving: table delivery, drink refills
• Cleaning: dishes, counters, equipment, floors