AI copilots for commercial kitchens

Empowering operators with the tools to protect their hard-earned sales

Reliable, Scalable Kitchen Data

Imagine having a digital record of every dish produced in your kitchen

ORD-1000
No Refund

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Log Details

Date:9/10/25, 3:03 AM
Location:2nd St, San Francisco
Team Member:M Williams
Origin:DoorDash

Quality Metrics

Weight %:+0.5%
Errors:N/A
Presentation Score:4.9

ORD-1001
No Refund

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Log Details

Date:9/22/25, 3:15 AM
Location:Grand Ave, Oakland
Team Member:L Johnson
Origin:DoorDash

Quality Metrics

Weight %:+8.0%
Errors:N/A
Presentation Score:3.7

ORD-1002
No Refund

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Log Details

Date:9/8/25, 5:43 AM
Location:2nd St, San Francisco
Team Member:S Kim
Origin:DoorDash

Quality Metrics

Weight %:-3.5%
Errors:N/A
Presentation Score:4.2

ORD-1003
No Refund

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Log Details

Date:9/29/25, 12:42 AM
Location:11th St, Oakland
Team Member:A Davis
Origin:First Party

Quality Metrics

Weight %:+8.0%
Errors:Wrong Protein
Presentation Score:2.9

ORD-1004
No Refund

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Log Details

Date:9/12/25, 2:25 PM
Location:2nd St, San Francisco
Team Member:E Miller
Origin:Uber Eats

Quality Metrics

Weight %:-1.5%
Errors:N/A
Presentation Score:3.2

ORD-1005
Refund Requested

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Log Details

Date:9/16/25, 2:11 PM
Location:Grand Ave, Oakland
Team Member:E Miller
Origin:DoorDash

Quality Metrics

Weight %:-7.0%
Errors:Wrong Sauce
Presentation Score:2.2

ORD-1006
No Refund

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Log Details

Date:9/1/25, 8:52 AM
Location:Telegraph Ave, Berkeley
Team Member:N Wilson
Origin:DoorDash

Quality Metrics

Weight %:+7.2%
Errors:Wrong Sauce
Presentation Score:4.2

ORD-1007
No Refund

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Log Details

Date:9/27/25, 7:06 AM
Location:Grand Ave, Oakland
Team Member:S Kim
Origin:DoorDash

Quality Metrics

Weight %:+7.4%
Errors:Missing Avocado
Presentation Score:3

ORD-1008
No Refund

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Log Details

Date:9/26/25, 4:50 PM
Location:Grand Ave, Oakland
Team Member:P Smith
Origin:DoorDash

Quality Metrics

Weight %:0%
Errors:N/A
Presentation Score:5

ORD-1009
No Refund

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Log Details

Date:9/9/25, 3:55 PM
Location:11th St, Oakland
Team Member:J Hernandez
Origin:Uber Eats

Quality Metrics

Weight %:-4.6%
Errors:Missing Sesame Seeds
Presentation Score:5

ORD-1010
No Refund

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Log Details

Date:9/16/25, 1:57 AM
Location:Grand Ave, Oakland
Team Member:C Rivera
Origin:First Party

Quality Metrics

Weight %:-5.6%
Errors:Wrong Protein
Presentation Score:3.8

ORD-1011
Refund Requested

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Log Details

Date:9/7/25, 2:03 PM
Location:Grand Ave, Oakland
Team Member:L Johnson
Origin:Uber Eats

Quality Metrics

Weight %:-6.6%
Errors:Wrong Protein
Presentation Score:2.9

ORD-1012
No Refund

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Log Details

Date:9/9/25, 1:09 PM
Location:Grand Ave, Oakland
Team Member:E Miller
Origin:DoorDash

Quality Metrics

Weight %:+8.9%
Errors:Missing Sesame Seeds
Presentation Score:2.6

ORD-1013
No Refund

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Log Details

Date:9/6/25, 4:36 PM
Location:Grand Ave, Oakland
Team Member:E Miller
Origin:Uber Eats

Quality Metrics

Weight %:0%
Errors:N/A
Presentation Score:5

ORD-1014
Refund Requested

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Log Details

Date:9/2/25, 3:15 AM
Location:11th St, Oakland
Team Member:M Williams
Origin:First Party

Quality Metrics

Weight %:-4.3%
Errors:Wrong Protein
Presentation Score:4.1

ORD-1015
No Refund

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Log Details

Date:9/11/25, 10:48 PM
Location:Telegraph Ave, Berkeley
Team Member:C Rivera
Origin:DoorDash

Quality Metrics

Weight %:-9.8%
Errors:N/A
Presentation Score:2.2

ORD-1016
Refund Requested

Order Image 16

Log Details

Date:9/9/25, 7:04 AM
Location:11th St, Oakland
Team Member:L Johnson
Origin:Uber Eats

Quality Metrics

Weight %:+2.1%
Errors:N/A
Presentation Score:3.1

ORD-1017
No Refund

Order Image 17

Log Details

Date:9/7/25, 5:54 PM
Location:Grand Ave, Oakland
Team Member:S Kim
Origin:First Party

Quality Metrics

Weight %:-9.5%
Errors:Wrong Protein
Presentation Score:2.4

ORD-1018
Refund Requested

Order Image 18

Log Details

Date:9/15/25, 2:44 PM
Location:Grand Ave, Oakland
Team Member:A Davis
Origin:Uber Eats

Quality Metrics

Weight %:-6.3%
Errors:N/A
Presentation Score:4.6

ORD-1019
No Refund

Order Image 19

Log Details

Date:9/20/25, 7:39 PM
Location:11th St, Oakland
Team Member:M Williams
Origin:Uber Eats

Quality Metrics

Weight %:+3.8%
Errors:N/A
Presentation Score:3.1

Most Common Errors:

  • Missed Avocado10%
  • Missed Extra Protein6%
  • Wrong Sauce3%

Team Performance

M Sanchez

Top Error: Missed Avocado

Presentation Score: 4.2

Error Rate:8.4%

D Chen

Top Error: Over Portion

Presentation Score: 3.9

Error Rate:6.2%

J Hernandez

Top Error: Missed Extra Protein

Presentation Score: 4.8

Error Rate:10.1%

L Johnson

Top Error: Wrong Sauce

Presentation Score: 4.9

Error Rate:3.7%

A Baker

Top Error: Wrong Protein

Presentation Score: 4.1

Error Rate:7.0%

B Chang

Top Error: Missed Brown Rice

Presentation Score: 4.6

Error Rate:5.5%

C Davis

Top Error: Missed Sauce

Presentation Score: 3.5

Error Rate:9.8%

E Foster

Top Error: Under Portion

Presentation Score: 4.7

Error Rate:4.1%

F Garcia

Top Error: Missed Extra Protein

Presentation Score: 4.4

Error Rate:5.9%

G Hill

Top Error: Wrong Sauce

Presentation Score: 3.8

Error Rate:7.3%

Real-time Quality Checks

Bowl with AI insights

Our Solution

Designed to be deployed in any kitchen in a matter of minutes

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The Libra System

Quick & Easy Setup

Libra takes up 12” x 12” of counter space. It arrives fully assembled with an active SIM card. All you have to do is plug it into an outlet, and you're
ready to go.

Weight + Vision

Our system cross-checks orders using both image and weight data, ensuring 100% confidence before the food leaves the kitchen.

Affordable & Non-Invasive

Libra is budget-friendly, self-contained, and deploys in minutes without additional hardware, rewiring, or security camera integrations. Additionally,
we focus on tracking just the food, not your team members.

How We Help

We unlock valuable data for bottom-up problem discovery
and top-down quality control at scale

Reduce Errors

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Improve Consistency

Historical data of portion weights

Reduce Refund Abuse

Refund request rejection illustration

Boost Visibility Without Spend

Annotated bowl highlighting exposure increase

Ready to Automate?

Ditch manual processes and let AI handle the heavy lifting.
Join the kitchens already transforming their operations now