Process thousands of customer messages, extract insights from Arabic documents, analyze sentiment in real-time, and automate text-based workflows. Our bilingual NLP models understand GCC dialects, cultural context, and business terminology.
Our NLP solutions integrate directly with your customer service platforms, CRM systems, email servers, social media channels, and document management systems. Process text from any source automatically - support tickets, customer reviews, surveys, contracts, emails, chat messages.
The AI understands both Modern Standard Arabic and Gulf dialects, formal and informal language, industry-specific terminology, and cultural nuances. Extract structured data from unstructured text, classify documents automatically, detect sentiment and intent, and generate human-quality responses.
Perfect understanding of Arabic and English, including dialects, slang, and code-switching between languages.
Analyze thousands of messages per second. Extract insights instantly without manual reading or tagging.
State-of-the-art Arabic NLP models trained on GCC business data. Understand context and intent precisely.
Automatically categorize emails, tickets, documents, and messages by topic, urgency, and sentiment.
Automatically extract names, companies, dates, amounts, locations, and custom entities from text.
Train models on YOUR documents, YOUR terminology, and YOUR business rules for maximum accuracy.
Generic NLP models struggle with Arabic business text. We train custom models on YOUR industry terminology, YOUR document formats, and YOUR communication patterns. The result? NLP that understands your business as well as your native speakers.
Gather your Arabic and English text data - customer messages, documents, emails, transcripts, and reviews.
Label sentiment, entities, intents, and categories specific to your business domain and use cases.
Train transformer-based models (BERT, GPT, T5) fine-tuned on your labeled data for YOUR specific tasks.
Deploy NLP models as APIs, integrate with your systems, and enable real-time text processing at scale.
Track performance, collect feedback, retrain models regularly to improve accuracy as language evolves.
Major bank in Dubai received 50,000+ customer queries monthly in Arabic and English via email, chat, and social media. Manual classification and routing took 2-3 hours per query, leading to delays and customer frustration.
Results: Deployed custom Arabic-English NLP for automatic classification by topic and urgency. Query processing time reduced from 2.5 hours to 30 minutes (80% faster). Sentiment analysis flagged frustrated customers for priority handling. Response quality improved with automatic answer suggestions. Annual savings: $2.4M in operational costs. Customer satisfaction increased from 74% to 91%.
Healthcare provider in Saudi Arabia had 5M+ Arabic medical records with valuable insights trapped in unstructured text. Manual review was impossible at scale.
Results: Built custom Arabic medical NLP to extract diagnoses, medications, procedures, and outcomes from records. Processed 5M records in 3 weeks (would take humans 15+ years). Enabled predictive analytics for patient outcomes and treatment effectiveness. Identified medication interaction risks automatically. Improved patient care while generating $8M in research insights.
Customer query classification, sentiment monitoring, compliance document analysis, fraud detection from text.
Medical records analysis, symptom extraction, clinical notes processing, patient feedback analysis.
Product review analysis, customer support automation, search query understanding, content generation.
Document classification, citizen request processing, policy analysis, multilingual communication.
Contract analysis, clause extraction, legal document search, compliance checking.