Saudization,
decoded.
Real GASTAT labor data. Real Saudi worker survey responses. AI-grounded recommendations for the sectors that need them most.
21 sectors of GASTAT data
Live Saudization rates, Saudi vs non-Saudi workforce splits, and gap-to-target metrics across every major economic sector.
300+ worker survey responses
Primary research on what Saudi workers actually want: pay, hours, training, advancement. Broken down sector by sector.
AI-grounded recommendations Live
Per-sector retention strategies generated from your real data, not generic advice. Streams in real time as you analyze each sector.
Bilingual, English & Arabic
Toggle between languages on every recommendation. Built for Saudi HR managers, business owners, and policy researchers.
Sector + job role matching
Type "nurse" or "construction worker", Saudify maps any job to its GASTAT sector and surfaces the data instantly.
Vision 2030 aligned
Built around a 65% reference benchmark, informed by Nitaqat tiers and Vision 2030 workforce goals. Designed to plug into real Saudi labor policy.
[01]What you get
A complete decision support system.
Not just a dashboard. Saudify combines live sector analysis, worker sentiment data, and AI-generated guidance into one tool.
The gauge
Read the rate at a glance
Every sector gets a color-coded gauge against the 65% reference benchmark. Red, yellow, green, and you see the gap before you read a single number.
Try it on a sector →Worker sentiment
Hear from real Saudi workers
Over 300 survey responses tell you why Saudis avoid certain sectors. Working hours, training gaps, and satisfaction: the data behind every recommendation.
Explore survey insights →AI recommendations
Recommendations grounded in real data
For sectors below 65%, Saudify generates concrete strategies tied directly to survey responses. Not generic advice. The actual reasons workers stay or leave.
See live AI in action →Projection to 2030
See where each sector is heading
Linear regression on 15 quarters of GASTAT data forecasts whether each sector will hit 65% on time. With confidence intervals and a "what's needed" calculation.
View 2030 projections →[02]Who it's for