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Catch the wrong pizza before your customer does.

PizzaEye puts an AI quality check over the cut table. One camera reads the order ticket, then checks the finished pizza against it and flags anything that misses before it goes in the box.

Catch the wrong pizza before your customer does.

A wrong pizza is no longer a remake. It is a refund, a review, and a clawback.

1 in 8

quick-service orders are made wrong, and the rate is climbing (QSR Magazine, 2025)

100%

of the order can be clawed back from your payout when a delivery platform flags it wrong (DoorDash)

20%

of diners will not reorder after a single wrong order (eduMe, 2022)

74,000+

US pizzerias still check quality by eye, shift after shift (Statista, 2024)

How PizzaEye works

One camera. No change to how your team works the line.

1

Snap the pizza and the ticket

A camera over the cut table captures each finished pizza next to its order ticket. One photo per pizza, not a video feed of your kitchen.

2

Read the order, inspect the pizza

Frontier vision models read the ticket to recover the intended build, then inspect the pizza against it.

3

Check toppings, bake, and size

Each topping is marked present, missing, or extra. Burnt or underbaked crust, uneven cheese, and wrong size are flagged with a severity.

4

Alert the ones to pull

Pizzas that miss get an ALERT for a quick human look before they are boxed. Everything that passes keeps moving.

Why PizzaEye

Quality control that knows the order

Checked against the actual order

PizzaEye reads the ticket and checks the pizza against what the customer asked for. It knows this one was supposed to have no onion, and tells you when it does.

Catch it before it costs you

A wrong pizza that reaches the customer is a refund, a one-star review, or a delivery clawback worth the whole order. PizzaEye flags it at the cut table, while it is still cheap to fix.

One standard, every store, every shift

Your best GM cannot stand at every cut table. PizzaEye runs the same check at every location and gives you a quality record you can coach against, instead of a quarterly mystery shop.

Gets sharper on its own

PizzaEye runs the leading vision models behind one interface. As they improve, it improves, with no per-chain model to train or retrain.

The category is proven

Camera QC already works. It has just been locked inside one chain.

Domino's built an AI camera into its cut bench. PizzaEye brings order-aware quality control to every other pizza brand.

  • 15%

    lift in customer quality scores in month one of AI cut-bench checks

    Australia and New Zealand rollout, 2019

    Domino's (reported)

  • ~2,000

    stores it was contracted to roll across

    in seven countries

  • 850

    stores running the AI pizza camera at launch

    before its builder was acquired by a competitor

PizzaEye vs. the camera you cannot buy

The proven pizza-QC camera lives inside one chain. Here is how PizzaEye compares.

CapabilityPizzaEyeIn-chain camera (DOM Pizza Checker)Manual check at the cut table
Checks the pizza against the customer's actual order
Flags wrong, missing, or extra toppingsdepends on the shift
Available to any pizza brandn/a
Improves automatically as AI models improve
One camera, live in daysn/a
Objective quality record for every store and shift

DOM Pizza Checker was built for Domino's and is now owned by Yum! Brands. It grades quality and matches each pizza to its order for display, with no public evidence it verifies topping-level order conformance.

FAQ

Questions pizza operators ask

No. PizzaEye flags only the exceptions, so your team keeps moving on every pizza that is right and only pauses on the ones that need a look.

See PizzaEye check your pizzas

Book a pilot at one store. We mount a camera over the cut table and show you a live quality record in weeks.

  • One camera over the cut table, live in weeks
  • Every pizza checked against the actual order
  • A quality record for every store and every shift
  • Built by Revmo, already trusted across multi-location restaurants

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No hardware to buy to start. We scope the pilot with you.

Catch the wrong pizza before your customer does.

Put an AI quality check over your cut table. Start with one store.

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