August 22, 2021
Restaraunt Tech

Over 2.5 million food service workers have lost their jobs since February. With a slow recovery, restaurants are facing their hardest challenge yet, but this week's start-up is helping them adapt. (no, it's not another food delivery app.) Let’s check out

⚾ The Elevator Pitch:

One of the most time-consuming parts of a restaurant experience is the checkout process. If you've walked into a Chipotle before, you know the food prep is fast, but getting rung up is the reason you had to wait 15 minutes in the first place. Enter, the missing link between food preparation and point-of-sale systems. uses ceiling cameras and computer vision to increase order accuracy, maximize labor efficiency, and limit customer wait times. mounts ceiling cameras right above the chef or food bar. Next, their computer vision software matches the physical ingredients put into each order with a customer's app purchase. Finally, once ingredients of an order are validated via AI, customers or app-based couriers can simply grab their food and walk out. Best of all, integrates with Point-of-Sale systems to make the whole process one easy solution.

πŸ‘‡ The Drop Down

School: Carnegie Mellon University
Founded: 2019
Stage: Seed
Tech trend: Restaurant tech
Traction: Seed funding raised
Team -Experts in sales, computer vision, and software engineering
Evan DeSantola - Founder & CEO
Alex Litzenberger - Co-Founder

πŸ” Why we like it

  1. 🍯 They address a market shift in restaurant ordering
    As Agot's CEO mentioned, restaurants are shifting in three ways:
    (A) The pandemic has shifted restauranteering into a low-volume, high dollar environment - where customer loyalty is crucial
    (B) Online orders are increasingly complex, bringing more order errors and chargebacks
    (C) COVID forces labor to be low-cost and low-risk of transmission.
    Agot is uniquely positioned to help restaraunts with these issues. With their computer vision functioning as an error-free cashier, a lot is improved. Restaurants save money on wrong orders. Wait times are shorter. Quality control goes up. Agot's food-logging solution is ripe for the current environment, where customers are shifting away from dine-in.
  2. πŸ”’ They give restaurant owners a new superpower: data!
    Restaurants deal with mouthfuls of data - order rates, revenues, and even purchase frequency. But few solutions provide the pragmatic data that Agot provides. Currently, there are no efficient solutions for 'bagging supervision' (making sure ingredients match the order) and 'cashier automation' (inputting completed orders into the point-of-sale system). does both faster and more efficiently than a human does. The data possibilities are endless - from matching meal preparation preferences to a customer's payment identity, to giving analytics on worker behavior, to increasing quality control standards.
  3. πŸ™Œ drastically improves restaurant customer experience A benefit we haven't touched is the superior user-experience provides for customers. Because's computer vision software logs ingredients and meal orders as they're being made, restaurant owners can ring-up customers more accurately than a human cashier can. As a result, customers just have to order and swipe - and they're good to go. calls it, "Checkout to Walkout".

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