Turning Agricultural Waste Into Value

Autonomous, AI-driven units that process fruit and vegetable waste on-site and turn it into commodities packers can sell.

2.5B tons
discarded, unmarketed fruit & vegetables per year (FAO)
4
revenue streams from one unit
12–24 mo.
expected customer ROI
The problem

2.5 billion tons of discarded fruit & vegetables: from cost to revenue

Today, every ton of produce waste leaving a packing house adds cost at each step of the way.

Packing house
Disposal cost
Transportation required
Transport cost
Handling friction
Handling fees
Environmental burden
Landfill fees

Today

~$100
/ ton
Disposal cost
~$125B
Global cost annually (FAO)
0%
Revenue recovered
  • Requires trucks and storage
  • Carbon emission penalties
  • Strict regulation

With Fruit-OH

~$0.014
/ kg
New revenue earned by the packer
Zero
Landfill & trucking
  • Modular AI-autonomous unit
  • Processed on-site
  • Financial upside instead of a cost
The solution

The circular arbitrage engine: four revenue streams

One on-site unit takes in mixed organic waste and produces four sellable commodities, with no change to facility operations.

Organic waste input

Handles highly variable, mixed streams

FRUIT-OH

A scientific process that breaks down waste using chemical, biological and physical methods.

  • On-site system
    No change to facility operations
  • Autonomous processing
  • Zero-waste capability

Bioethanol

For the green energy and transportation sectors.

Fiber / compressed biomass

For industrial raw materials, construction, packaging and energy.

CO₂

For the food and beverage industry and commercial greenhouses.

Distilled water

For industrial and agricultural reuse.

See it in action

The mobile revolution turning agricultural waste into value

A short look at the Fruit-OH unit and how it turns produce waste into commodities on-site.

Technology

The AI core

Each unit sees what comes in, tunes its own process in real time, and reports to a central cloud that runs the whole fleet.

Computer vision intake

Identifies waste at entry and triggers the optimal process.

Real-time AI optimization

Continuously adjusts temperature, speed and other parameters. Self-learning, with predictive maintenance.

Fleet cloud management

A central cloud manages all hive units as one smart network.

A lean tech company

Able to manage global operations from a single control point.

Waste
→
AI unit
Computer vision intake
Real-time AI optimization
AI management
→
Commodity products
→
Revenue
Unit economics

Unit economics and rapid capital return

Profitability per ton of waste

Profitability per ton of waste
Daily revenue generation
~$600
per day
Annual revenue run rate
~$200,000+
per unit

Customer proposition: rapid capital return

Customer proposition: rapid capital return
Combined value (new revenue + saved disposal costs)
System cost (fixed)
12–24 months ROI
Expected payback for the customer

Minimum daily input per unit: 1 ton of fruit & vegetable waste. Maximum capacity: unlimited.

The Hive model

Scaling the micro to the macro

Units are deployed quickly and controlled centrally and remotely as a hive.

1
Company
40
Hives
600
Autonomous units
Recurring
Daily revenue
Fifteen units arranged around a central hive operations center

Quick deployment of the units; central and remote control of the units as a hive.

The scale equation
1 hive
15 units
1 unit
~$600/day
1 hive
≈ $4M / year
  • 60 hives per year (accumulating) — average deployment
  • Highly scalable recurring revenue model
  • Phase 1 units keep operating in parallel to Phase 2
  • Developing the platform for scalable deployment
Market & go-to-market

A large untapped market and a two-phase go-to-market

TAM · Total addressable market

2.5B tons

of discarded, unmarketed fruit & vegetables annually (FAO estimates). Capacity for 800,000 units at all global waste points.

SAM · Serviceable addressable market

~100,000

packing houses worldwide.

SOM · Serviceable obtainable market

10,000 units

Deployment of 10,000 units by Year 10.

1

Phase 1: The ownership model

Years 0–3
  • Fruit-OH owns and operates the deployed units (10–20 units).
  • Direct commodity sales: expected annual revenue of $2M–$4M (accumulating).
  • Goal: validate and optimize the technology — automation and infrastructure.
2

Phase 2: The platform model

Year 4+
  • Global expansion by selling hives (hardware + operating software as SaaS) to global agri-corporates.
  • Expected annual revenue of $4M (accumulating).
Team

The execution engine

Itay Noked

Itay Noked

Founder & CEO

Mango farmer, fruit storage and packing plant specialist. MSc Agricultural Science and Biotechnology; Chemistry and Food Science practical engineer.

Or Dror

Or Dror

CTO

Experienced analytical environmental chemist, waste treatment specialist and renewable energy specialist. BSc Environmental Science.

Tom Alon

Tom Alon

CMO

Seasoned marketer and business developer, expert in creating brand identity and new markets development. BA Communications.

Yuval Azany

Yuval Azany

COO

Experienced logistics and operations manager; Director of licensing and regulation at a real-estate and construction company. BA Education, MA Israel Studies and Environmental Education.

Jarden Shechter

Jarden Shechter

VP Technology

BA Computer Science, with extensive experience building AI and computing systems.

Turning waste into value.

We'd be glad to hear from packing houses, partners and investors.

Packing houses & partners

Interested in a pilot unit at your facility, or in working together?

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Investors

Interested in investing in Fruit-OH? Request our investor deck and we'll set up a short call.

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