01. See
02. Think
03. Act
The World’s Most Intelligent
Food Manipulation Model
Fleet Learning
Chef's systems continually improve the more picks they do.
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Flexible
Our robots work with almost any ingredient, no matter size, stickiness, deformability, or wetness.
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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.
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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.
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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
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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.
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.
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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.
ChefOS's Applications
ChefOS powers all of Chef’s applications in every industry
Learn more about
Industries Chef helps
Learn How We've Helped Our Customers
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CASE STUDIES
Amy’s Kitchen
Amy’s Kitchen leveraged Chef to improve product consistency of runs by 12%, lower food giveaway by 4%, and increase labor productivity by 17%.
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CASE STUDIES
Chef Bombay
Read about how Chef Bombay (a contract manufacturer) reduced deposit standard deviation by 30%, reduced food giveaway by 88%, increased labor productivity by 33%, and increased throughput by 9%.
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CASE STUDIES
Sunbasket
Within 3 weeks of signing an initial contract, Chef started production and has since helped Sunbasket increase consistency by 25% and free up 10% of the staff it takes to do a run to allow them to take on other tasks.
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Read more about
Customer Impact
We would love to collaborate with you
200 Kansas St, STE 204
San Francisco, CA 94103
