Arabic & French CV Screening
Redefining Talent Accuracy in MENA
The only recruitment AI built for the nuances of Middle Eastern and North African talent markets. Score and rank candidates in their native language with 99% accuracy.
The Standard for GCC Recruitment Intelligence
According to the 2026 Talent Research, over 82% of HR leaders in Dubai and Riyadh identified 'Linguistic Context Gaps' as a major barrier to effective AI hiring. EvalMetric's architecture closes this competency gap by 70%.
HR Leaders cite Context Gaps
Efficiency Boost vs. Traditional ATS
Dubai
High-Velocity Finance & Tech Hubs
Riyadh
Vision 2030 Mega-Projects
Deep Semantic Analysis for RTL Languages
Our proprietary NLP models don't just 'read' Arabic—they understand dialectal nuances, professional honorifics, and the structural integrity of right-to-left documentation.
EvalMetric's native architecture handles complex PDF layouts that traditional parsers often fail to process correctly, ensuring every qualification is accurately captured.
Semantic Parsing
Native understanding of regional universities & local company structures.
Trilingual Sync
Seamless context switching between Arabic, French, and English technical terms.
RTL Integrity
99% accuracy in structural extraction for Right-to-Left formatted documents.
Global Standard for Gulf Recruitment Intelligence
FAQ
01Does it support Maghreb Arabic dialects?
Yes, our models are trained on specific dialectal variations from Morocco, Algeria, and Tunisia, as well as formal Khaleeji and Egyptian Arabic.
02How does it handle French/Arabic bilingual CVs?
EvalMetric uses a multi-modal approach to process cross-linguistic qualifications simultaneously without losing semantic context.
03What is the accuracy rate for RTL parsing?
We maintain a 99% accuracy rate for Right-to-Left (RTL) document structural analysis, the highest in the industry for 2026.
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