CUBIK Studio — Company Summary

CUBIK Studio Limited is a Hong Kong-based startup that helps airlines reduce food waste using camera-based artificial intelligence. A compact device mounts inside standard airline catering trolleys and automatically photographs each meal tray as it returns from passengers. The system identifies exactly what was eaten and what was left behind — down to individual items like "yogurt: 40% remaining" — without any extra work for cabin crew. All data is processed directly on the device with no internet connection required during flight, and the system never captures images of passengers or crew faces.

Key Metrics

  • 15% reduction in cabin food waste through smarter menu planning
  • 5.3 million tonnes of carbon dioxide equivalent annual reduction potential across global aviation
  • 3 million meals redirected from landfill to communities in need annually
  • US$36 billion: the total value of airline food wasted globally every year

Business Model

  • Subscription fee: HKD 2,000 per aircraft per month
  • Revenue sharing: 50/50 split on cost savings achieved from waste reduction
  • Target market: Airlines operating fleets of 100 or more aircraft

Technology

  • On-device processing: All artificial intelligence runs locally with no cloud or Wi-Fi dependency during flight
  • Advanced image recognition: Identifies different food items, liquids, packaging, and leftover portions
  • Privacy by design: No facial recognition, no personally identifiable information collected
  • Standard hardware: Compact tablet-sized device fits into existing airline catering trolleys

Environmental and Social Alignment

Supports United Nations Sustainable Development Goal 2 (Zero Hunger), Goal 12 (Responsible Consumption and Production), and Goal 13 (Climate Action).

Isometric Food Trolley
Icon

Zero friction.
Total visibility.

Our camera-based system automatically tracks what passengers eat and what goes to waste — without any extra work for cabin crew. The result: smarter catering, lower costs, and less food in landfills.

DEVELOPMENT PARTNER

In Development with a Leading Asian Carrier

Ground Testing in Progress

PROBLEM

The Billion-Dollar Blind Spot

Data Charts

The Data Gap

Airlines know how much total waste they produce, but not what specific items are being thrown away — missing the key information needed to cut costs.

Airline Meal

The Service Gap

Without knowing exactly what passengers consume, airlines cannot tailor their menus to match real preferences — leading to over-ordering and unnecessary waste.

OUR SOLUTION

Automatic Waste Tracking, Built Into the Trolley

No Extra Work for Crew
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No Extra Work for Crew

A small camera scans each meal tray as it returns to the trolley. No sorting, no manual logging — the system works silently in the background.

Item-by-Item Tracking
Icon

Item-by-Item Tracking

The system identifies exactly what was eaten and what remains — down to individual items like "yogurt: 40% left" — giving procurement teams precise data.

Fits Existing Trolleys
Icon

Fits Existing Trolleys

A compact tablet-sized device mounts directly into standard airline catering trolleys. No aircraft modifications or new equipment needed.

Stewardess

CORE TECHNOLOGY

Built to Work at 35,000 Feet

Works Without Internet

All data is processed directly on the device — no Wi-Fi or cloud connection needed during flight. This ensures reliability and keeps data secure.

Recognises All Food Types

Advanced image recognition distinguishes between different food items, liquids, packaging, and leftover portions — even in complex tray arrangements.

Privacy by Design

The system only analyses tray contents. It does not capture or store any images of passengers or crew faces.

HOW IT WORKS

From Tray to Insight in Seconds

Tray Returns

Used meal trays return to the galley via the standard trolley

Automatic Scan

The built-in camera captures the tray contents automatically

On-Device Analysis

The device identifies each item and measures how much was consumed

Insights Ready

Detailed consumption data is generated instantly for every tray

Dashboard Sync

After landing, data syncs to the cloud analytics dashboard

Forest Background

MEASURABLE IMPACT

Operational and Environmental Returns

Zero Hunger
Responsible Consumption
Climate Action

$0

US Dollars of airline food wasted every year globally

5.3 Million
Tonnes of Carbon Dioxide

Projected annual reduction in carbon emissions from smarter aviation catering worldwide.

15%
Waste Reduction at Source

Direct reduction in cabin food waste through data-driven menu optimisation.

3 Million
Meals Redirected

Estimated meals saved from landfill and redirected to communities in need.

Goal 2 · 12 · 13
United Nations Alignment

Supports Zero Hunger, Responsible Consumption, and Climate Action.

RETURN ON INVESTMENT CALCULATOR

Estimate Your Airline's Savings

aircraft
10 aircraft500 aircraft
passengers
100 passengers500 passengers
%
5%25%

CUBIK Pricing Model

Subscription FeeHKD 2,000 / aircraft per month
Revenue Share50/50 split on savings

Total Savings

US$4.9 Million

15% of total waste cost

Your Net Savings

US$2.2 Million

after CUBIK fees

Carbon Dioxide Reduction

6,975

tonnes of carbon dioxide equivalent per year

Meals Redirected

4,000

meals saved from landfill per year

Annual Savings Breakdown (US Dollars)

Estimates are based on industry averages. Actual results may vary depending on airline operations.

STRATEGIC ROADMAP

Defining the Industry Standard

Q4 '25

Prototype Phase

Hardware finalised and system interface completed.

Q1 '26

Airline Pilot Programme

Ground testing in Hong Kong catering kitchens.

Q1 '27

Fleet Rollout

Full integration across long-haul routes.

Cabin Service

Ready to optimise your fleet?

Join the future of sustainable aviation catering today.

THE TEAM

Visionaries and Engineers

M

Moses LAU

Product Manager

Service Design

B

Brian ANG

Strategy Manager

Enterprise Info System

H

Hillbe XU

ESG & Finance

Sustainable Finance

R

Ringo NG

BI Manager

Business Intelligence

W

Wilson CHENG

IT Manager

Computer Science