01. See
02. Think
03. Act
Food Foundation Model
A foundational model for the food industry and beyond. Trained on 100M+ episodes of production data
Fleet Learning
Chef's systems continually improve the more picks they do.
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Task and Ingredient Invariant
FFM works with almost any ingredient, no matter size, stickiness, deformability, or wetness.
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Post-Trained
FFM has been trained on almost 200,000 hours of production.
Any Portion Size
FFM works with any portion size of ingredient.
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Any Tray, Cup, or Burrito
FFM works your containers, and can target any compartment or placement within them.
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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 100M+ deposits from Chef's production systems, FFM enables your robots to pick almost any ingredient from first day of deployment.
Interact with FFM
Fresh, cooked, and IQF “scoopable” food
Sauces, mashes, chilis, curries, stews
Piece picking from unstructured totes
How It Works
FFM dynamically picks based on the particular ingredient and its properties, the pan topography, how the ingredient was cooked and prepped on that particular day.
FFM 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.
FFM's Applications
FFM powers all of Chef’s applications in every industry
Learn more about
Industries Chef helps
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Get started with flexible automation for your production lines