Arabic NLP & Language Intelligence
Unlock the value in Arabic text—at scale
Technologies we work with
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The Problem
Standard NLP tools are built for English and fail on Arabic. Arabic's complex morphology, multiple dialects (MSA, Gulf, Egyptian, Levantine), and right-to-left structure break off-the-shelf models. Businesses entering MENA markets can't extract insights from Arabic customer feedback, documents, or social data—leaving a 400M-speaker market's language data untapped.
- Accurate Arabic named entity recognition across MSA and GCC/Egyptian dialects
- Sentiment analysis calibrated for Arabic cultural expression and dialect variance
- Arabic document understanding including scanned Arabic text via OCR
- Production-ready REST APIs with sub-100ms response times
The Solution
Enterprises, financial institutions, government agencies, and technology companies across MENA, GCC, and globally who need production-grade Arabic language understanding—sentiment analysis, entity extraction, text classification, and Arabic conversational AI.
- Arabic NLP pipeline: tokenization, morphological analysis, entity extraction
- Multi-dialect sentiment and intent classification model
- Arabic OCR pipeline for scanned invoices, contracts, and forms
- REST API with language detection and dialect routing
See it in action
2 min overview
Why Businesses Choose Our Solutions
Purpose-built solutions designed to deliver measurable, real-world results
Built for Arabic, Not Bolted On
Models trained from scratch on Arabic corpora—MSA, Gulf, Egyptian, and Levantine. No translation layer, no English-first pipeline. Accuracy measured against Arabic benchmarks, not adapted English metrics.
Dialect-Aware Intelligence
Arabic isn't one language—Gulf, Egyptian, and Levantine differ significantly. Our models detect dialect automatically and apply the right processing path, delivering accuracy that generic multilingual models can't match.
Production-Grade, Not Research-Grade
We deliver APIs, not notebooks. Every model ships with a production endpoint, latency benchmarks, a monitoring dashboard, and a retraining schedule—so your Arabic-language features stay accurate as usage evolves.
Proven MENA Market ROI
Arabic NLP enables customer feedback analysis, Arabic chatbots, document automation, and social listening—turning a 400M-speaker market's data into actionable business intelligence.
Key Features
Everything You Need to Manage & Grow
Core capability
Named Entity Recognition for Arabic
Extract people, organizations, locations, dates, and custom entities from Arabic text with context-aware disambiguation. Handles Arabic name variants, honorifics, and organization naming conventions across MSA and dialects.
Core capability
Multi-Dialect Sentiment Analysis
Classifies sentiment in Gulf (Saudi, Emirati, Kuwaiti), Egyptian, and Levantine Arabic with dialect detection built in. Trained on social media, customer reviews, and support feedback corpora from each region.
Arabic OCR & Document Intelligence
Extract structured data from scanned Arabic invoices, contracts, government IDs, and forms. Handles mixed Arabic-English documents, RTL tables, and Arabic handwriting across printed and digital sources.
Text Classification & Topic Modeling
Classify Arabic content by category, intent, or custom taxonomy. Topic modeling for Arabic social feeds, news, and support tickets—extract themes and trends from large Arabic text corpora automatically.
Arabic Conversational AI
Intent recognition and entity extraction for Arabic chatbot and voice assistant pipelines. Handles diacritized MSA, colloquial dialects, and code-switching—Arabic-English mixed input common in Gulf and Egyptian markets.
Production API & Accuracy Monitoring
REST endpoints with sub-100ms P95 latency, dialect detection and routing, confidence scoring, and a monitoring dashboard tracking accuracy drift, usage volume, and error rates over time.
Do these capabilities fit your use case? Let's map out your project.
How It Works
From kickoff to live in 3 clear steps
Day 1
Discovery Call
30-minute call to understand your goals, current setup, and success criteria. We come prepared — no generic questionnaires.
Day 2–3
Custom Proposal
Tailored scope, pricing, and delivery milestones within 48 hours. You review and approve before anything begins.
Ongoing
Build & Launch
Hands-on delivery with weekly checkpoints. We don't ship until you're confident — then we stay on for support.
Success Stories
Language understood. Markets unlocked.
Real outcomes from real clients
+45%
Arabic NLP accuracy
Government Portal
Automated Arabic document classification for a ministry portal, processing 10,000+ citizen submissions per day with 94% accuracy.
2×
Market coverage
Media Platform
Built a dialect-aware sentiment engine covering 12 Arabic varieties, used by brand monitoring teams across 3 Gulf markets.
−50%
Content ops cost
E-Learning Company
Deployed a bilingual Arabic chatbot that resolved 80% of student queries without human escalation, reducing support headcount by 2 FTEs.
Want results like these? Start a conversation.
Ready to unlock the full value of your Arabic content?
Let's build a solution tailored to your business.
Frequently Asked Questions
How long does implementation take?
Most projects go live within 4–8 weeks depending on scope. After our discovery call you'll receive a timeline with exact milestones.
What happens after the project launches?
Every project includes post-launch support. We monitor, fix, and optimize — you're not left on your own after delivery.
Can I start with a smaller scope and expand later?
Yes. We design every solution to be modular — start with what you need now and scale as your business grows.
