Investors

Building the intelligence infrastructure for the next era of agriculture.

AgriIOS AI is the operating system between agronomic signal and on-field action — software economics, marketplace dynamics, and a compounding data moat.

$200B+
Annual global crop inputs market
30%
Avg. chemical reduction in pilots
Faster diagnosis-to-deployment
Why AgriIOS AI

An investable thesis, layer by layer.

01

Massive global market

Crop inputs are a multi-hundred-billion-dollar annual category undergoing structural change.

02

Recurring revenue

SaaS, prescription fees, marketplace commissions and transaction fees compound across the network.

03

Proprietary data moat

Every applied recommendation feeds a regional crop-intelligence graph competitors cannot easily replicate.

04

Asset-light scaling

Software-first model orchestrates third-party operators, depots and micro-factories.

05

Marketplace network effects

More farms attract more suppliers and operators; more operators attract more farms.

06

AI defensibility

Domain-tuned multi-modal models trained on field-verified outcomes.

07

Climate-positive impact

Measurable reductions in chemical load, fertiliser waste and energy per yield-tonne.

08

Policy tailwinds

Aligned with global sustainability mandates and precision-agriculture incentives.

Business Model

Multiple recurring revenue lines.

A network business with software, marketplace and execution economics — designed to compound.

R01

SaaS Subscription

For agribusinesses, cooperatives, drone companies and input suppliers.

R02

Transaction Fee

Fee on successful input deployment jobs across the network.

R03

Marketplace Commission

Commission on input sales fulfilled through the platform.

R04

AI Prescription Fee

Pay-per-field or pay-per-acre recommendation pricing for farms.

R05

Enterprise Licence

For large farms, governments, agri corporations and cooperatives.

Let's build the AI infrastructure of agriculture together.

We're talking to a small group of climate, deep-tech and agritech investors.