Sees the food. Sets the cook. Monitors it to done.
Food goes in — from a robot, a conveyor, or a person — and CHEF AI takes over: it identifies what's there, sets the right cook profile for it, and monitors the internal temperature without a probe until it's done. No settings to dial, no operator on the line. The same plate, every time.
Hardware, intelligence, and software — one thing.
Identifies the food the second the door shuts, with no barcode or operator input. It runs a vision model we train on your menu, so it knows your exact SKUs.
It identifies the food, reads doneness without a probe, and runs the cook profile — all on the chip, with no cloud round-trip to finish a cook.
Your system drives it over a simple API — or it runs on its own.
Three steps to a unit that cooks your menu.
Tell us the menu — the proteins, the frozen items, the reheats. We scope the optimal cook profile for each and push it over the air to your device's own custom menu.
We train a vision model on your specific foods and dial the cook profiles for each one — not a generic classifier, but a model built for your menu on our own training pipeline.
You get a working engineering sample loaded with your model and profiles, calibrated and ready to cook your menu. Test it, integrate it, or tell us what to adjust.
Drive it from your system — or let it run itself.
A few simple signals to drive it — or none at all. Wire up the API fast, or run it on autonomous defaults straight out of the box.
The cook runs on the device — no cloud round-trip required to finish.
From a demo to a deal, in four steps.
Watch the engineering sample cook a real menu — yours, if you bring it.
We map your SKUs, your hardware, and the integration path together.
Get a unit to run in your own workflow — try it before you commit.
When it works in your world, we put it in writing and start the build.
See it cook your foods.
Book a demo and watch the engineering sample cook a real menu — yours, if you bring it.
No purchase · no NDA for the demo · we cook your SKUs.