The Intelligence Layer for Food Security
Saudi Arabia is investing billions to expand controlled-environment agriculture, yet every farm still learns largely on its own. Khaza-in transforms every observation into agricultural intelligence, helping food producers grow more with less water while continuously improving every connected farm.
THE PROBLEM
Building more greenhouses is not enough.
Food security depends on more than expanding greenhouse capacity. Sustainable growth requires every farm to consistently produce higher yields while using less water, fewer chemicals, and lower operating costs.
Knowledge Doesn't Scale
Modern greenhouses generate enormous amounts of data, but very little becomes reusable knowledge. Most insights remain isolated within a single farm.
The Same Mistakes Repeat
Growers face similar production challenges every season, yet each greenhouse solves them independently instead of learning from previous successes across the industry.
A National Opportunity
MEWA research shows conventional greenhouses produce only around one-quarter of the yield achieved by climate-controlled facilities. Much of this gap comes from management practices, making better agricultural intelligence one of Saudi Arabia's biggest opportunities for improving domestic food production.
OUR BELIEF
Every observation should improve the next decision.
Agricultural knowledge shouldn't disappear after every harvest. We believe every decision should make the next one smarter, for every participating producer.
Knowledge Should Accumulate
Every irrigation, climate adjustment, harvest, and crop observation creates valuable knowledge that should never be lost.
Intelligence Should Compound
Every recommendation should become more accurate by learning from real-world outcomes across every growing cycle.
Learning Should Be Shared
Every participating producer benefits from what every other producer has already learned, strengthening the entire network.
OUR SOLUTION
A continuously learning digital twin for controlled-environment agriculture.
Every participating farm becomes a living digital model that learns from every growing cycle.
Digital Twin
Continuously models each farm using operational and environmental data.
AI Recommendations
Predicts crop performance and recommends optimal actions before problems occur.
Execution Tracking
Monitors implementation to ensure recommendations are carried out and measured.
Continuous Learning
Validates every outcome and improves future recommendations through real-world results.
WHY KHAZA-IN IS DIFFERENT
We are not building greenhouse software.
A Learning Network
Most greenhouse platforms monitor equipment or automate climate control within a single facility. Khaza-in builds a continuously learning agricultural intelligence network.
Every Farm Makes It Smarter
Every new observation improves future predictions. Every participating producer expands the platform's knowledge. Every successful outcome benefits the next producer.
Intelligence That Compounds
As the network grows, the intelligence compounds. That creates a competitive advantage that cannot be replicated simply by adding new software features.
WHY IT MATTERS
Better decisions create better outcomes.
Food security depends on more than expanding greenhouse capacity. Sustainable growth requires every farm to consistently produce higher yields while using less water, fewer chemicals, and lower operating costs.
For Growers
Better decisions mean higher yields, more consistent quality, lower water consumption, reduced chemical inputs, and stronger profitability.
For Greenhouse Owners
They provide operational transparency and measurable accountability across every facility.
For Lenders and Insurers
They reduce uncertainty by transforming agricultural performance into measurable, predictable risk.
For Governments
They strengthen domestic food production while improving the efficiency of every litre of water invested in agriculture.
MARKET OPPORTUNITY
Building the intelligence behind Saudi Arabia's food security.
Saudi Arabia is rapidly expanding controlled-environment agriculture as part of Vision 2030. Our initial focus is commercial greenhouse operations across the Kingdom, representing an estimated serviceable software market of SAR 50–80 million annually. As the platform matures, the same intelligence can scale across the GCC and eventually become foundational infrastructure supporting food production in water-constrained countries worldwide.
THE TEAM BEHIND KHAZA-IN
Proven experience in AI, water, and agriculture.
Khaza-in combines expertise that rarely exists within a single founding team.
Dr. Abrar Zafar
Previously developed AI solutions for critical infrastructure and was recognised with the Global Prize for Innovation in Water (IDWS 2025), selected as one of only 14 winners from more than 2,500 global submissions.
Dr. Rabih Alaraj
Has spent more than twenty-five years leading large-scale agricultural operations across Saudi Arabia and the region, including greenhouse production, irrigation systems, hydrology, plant protection, organic farming, and major food-production projects.
Together, the team combines national-scale AI capability with decades of practical controlled-environment agriculture experience.
LOOKING FORWARD
Today's greenhouse platform. Tomorrow's agricultural intelligence infrastructure.
We're starting with controlled-environment agriculture because it provides the ideal environment for continuous learning. Our vision extends far beyond individual greenhouses.
Today
Connect farms, capture observations, and continuously improve production decisions.
Tomorrow
Build a shared agricultural intelligence network that helps producers learn from every growing cycle.
The Future
Create a national intelligence infrastructure that supports producers, investors, researchers, and policymakers in strengthening food security.