The World’s Most Intelligent
Food Manipulation Model

Fleet Learning

Chef's systems continually improve the more picks they do.

Flexible

Our robots work with almost any ingredient, no matter size, stickiness, deformability, or wetness.

Pre-Trained

Chef's systems have been trained on tens of thousands of hours of production.

Any Portion Size

Chef can work with any portion size of ingredient.

Any Tray, Cup, or Burrito

We work with your containers, and can target any compartment or placement within them.

Embodied AI

We believe AI’s most powerful impact will be on the physical world. The physical world represents 90% of GDP. ChefOS is built on modern advancements in AI like foundational models, learning from demonstration (imitation learning), and deep learning.

ChefOS is to the physical world what ChatGPT is to language. GPT predicts the next word in a sequence. ChefOS’s Generalized Food Manipulation Model knows which robot action should come next in the real world.

01. See

02. Think

03. Act

Chef has been trained on tens of thousands of hours of production data

17,600,000

Servings in Production

The Data Engine Flywheel Continually Improves Customer Value

Chef has consistently picked thousands of ingredients in production.

Chef has placed on to dozens of conveyors and placement quality improves with every pick.

Embodied AI’s performance is based on quality and raw quantity data from the physical world. The AI System that is trained on the most and best data will simply perform the best.

This is especially true for food since food is so highly variable; the cheese grits a kitchen makes one day are a bit different the next day. The cheese grits at the West Coast facility are a bit different than at the East Coast facility. And the cheese grits across different food producers are different entirely.

Every ingredient is so radically different that vast amounts of data from robots in production are needed to train our food manipulation model to be able to reliably, flexibly, and consistently manipulate any ingredient no matter how it’s cooked or cut all while not damaging it, meeting throughput, placing into the right part of a tray, and not spilling in transit.

Improvement Over Time

By leveraging modern advancements in AI, ChefOS can deal with the variance…

Between different ingredients

Across different batches of the same ingredient

What does this mean for you?

High consistency and high yield, even in high-mix kitchens.

One AI Platform for All Your Needs

Trained on millions of deposits from ChefOS enabled systems, the ChefOS enables your robots to pick almost any ingredient from first day of deployment.

Fresh, Chilled, IQF, Cooked “Scoopable” Food

Sauces, Mashes, Chilis, Stews, Saags

Piece Picking and Countables

How It Works

ChefOS dynamically picks based on the particular ingredient and its properties, the pan topography, how the ingredient was cooked and prepped on that particular day.

ChefOS detects and tracks trays as they move down the line. Chef can re-train these models to place into any tray, into any compartment, and on any conveyor.