About Naxra

We put the whole Kingdom's farmland on one screen.

Naxra AgriVision started as a satellite dashboard for a single region and grew into the monitoring layer regional teams and ministries now rely on across Saudi Arabia.

Our Story

From a mapping tool to a national monitoring platform.

Naxra was built by engineers and agronomists who were tired of choosing between satellite data that was accurate but unreadable, and dashboards that were readable but shallow. We started with one goal: put Sentinel-2, Landsat and MODIS imagery behind an interface a regional officer could actually use without a GIS degree.

Today the same engine covers all 13 regions of Saudi Arabia β€” Riyadh, Makkah, Madinah, Qassim, Eastern Province, Asir, Tabuk, Hail, Najran, Jazan, Al-Bahah, Al-Jouf and the Northern Borders β€” with boundary data down to date-palm groves, greenhouses, rangeland, dryland and irrigated cropland.

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Our Mission

Give every level of Saudi agriculture β€” from a single farmer to a national ministry β€” the same quality of environmental intelligence that used to require a satellite imagery contract and a data science team.

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Our Approach

We don't ship raw imagery. We ship decisions: an index, a risk score, an alert, a forecast β€” always traceable back to the pixels and dates behind it.

What we stand for

Four principles behind every feature we ship.

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Accuracy over hype

Every index ships with a pixel count and confidence signal β€” small farms are flagged as low-confidence rather than shown a false-precise number.

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Built for the Kingdom

Region boundaries, crop categories and climate baselines are modelled on Saudi Arabia specifically, not adapted from a global default.

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Access, not exposure

Role-based permissions mean a regional agent sees their region's tools β€” nothing more, nothing hidden that shouldn't be.

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Fast to act on

Alerts are generated automatically from satellite passes, not buried in a report someone has to remember to open.

How a scan becomes an alert

What happens between a satellite pass and your notification.

1

Satellite pass

Sentinel-2, Landsat and MODIS imagery is pulled for the region or farm boundary on file.

2

Index computation

NDVI, NDMI, EVI, canopy density, soil moisture and drought indices are computed via our GeoAI service layer.

3

Risk scoring

Pest/disease risk, water stress and yield models run against the fresh indices and historical baselines.

4

Alert & insight

Anything crossing a threshold is pushed to Alerts & Monitoring and surfaced in the AI Farm Advisor in plain language.

Want to see the platform behind the story?

We'll walk you through the live dashboard with your own region's data.

Talk to us β†’