LLM Integration · Generative AI · Saudi Arabia

Bring Generative AI
Inside Your
Enterprise.

Crux integrates GPT-4, Claude, Gemini, Jais, and Arabic LLMs into Saudi enterprise platforms — powering intelligent automation, Arabic conversational AI, and knowledge systems that transform how Saudi organizations work.

نقوم بدمج نماذج اللغة الكبيرة في المؤسسات السعودية · مساعد ذكاء اصطناعي عربي · الذكاء الاصطناعي التوليدي

Build LLM Platform See Use Cases
Arabic + English
Bilingual LLM systems
RAG Knowledge
Your docs + LLM
PDPL Compliant
Data stays in KSA
6–12wk
Production delivery
AI
Crux Enterprise AI Assistant
● Online · RAG Active · Arabic Ready
🔒 PDPL
GPT-4o
Claude 3.5
Gemini Pro
Jais-30B
Llama-3
ما هي متطلبات الامتثال لـ PDPL للمؤسسات السعودية؟
📚 Retrieved from: PDPL-Guide-2024.pdf
نظام حماية البيانات الشخصية (PDPL) يتطلب من المؤسسات السعودية الحصول على موافقة صريحة قبل جمع البيانات، وتحديد الغرض من المعالجة...
Summarize our Q3 financial report in 3 key insights
📊 Retrieved from: Q3-Financial-Report.pdf
Q3 Key Insights:
1. Revenue grew 34% YoY to SAR 2.4B — Vision 2030 projects drove 62% of new contracts
2. EBITDA margin expanded 4.2pp to 28.6%, driven by AI automation cost reduction
3. Saudi market now represents 78% of GCC revenue — KSA-first strategy validated
Context: 12,440 / 128,000 tokens · 24 docs indexed
Ask anything about your Saudi business data...
Latency: 340ms Docs: 24 Model: Jais-30B Data: KSA Region ✓
Arabic
First LLM Systems
Every LLM integration Crux builds supports Arabic natively — Arabic document ingestion, RTL chat interfaces, Arabic model fine-tuning, and bilingual AI responses for Saudi enterprises
RAG
Knowledge Grounding
Retrieval Augmented Generation connects LLMs to your Saudi enterprise data — policy documents, contracts, product catalogues — producing accurate, source-cited answers rather than hallucinations
6–12wk
Production Delivery
A production LLM assistant with RAG knowledge base, Arabic support, and enterprise system integration takes 6-12 weeks. A focused LLM feature can be delivered in 2-4 weeks.
PDPL
Data Sovereign
All LLM deployments on Saudi infrastructure — AWS me-south-1, Azure KSA, or on-premises — ensuring conversation data and documents never leave Saudi Arabia's NDMO boundaries
LLM Partners · نماذج الذكاء الاصطناعي

Every leading LLM — integrated for Saudi enterprises.

🤖
GPT-4o / GPT-4 Turbo

OpenAI · Best-in-class reasoning, Arabic support, 128K context window

🧠
Claude 3.5 Sonnet

Anthropic · Superior document analysis, long context, safe enterprise AI

💎
Gemini Pro / Ultra

Google DeepMind · Multimodal AI, native Arabic, Google Cloud integration

🌙
Jais-30B

Arabic-native LLM · Built for Arabic-first Saudi and GCC applications

🦙
Llama 3 / Mistral

Open-weight models · On-premises deployment, full NDMO data sovereignty

Enterprise Use Cases · حالات الاستخدام

What Crux LLM platforms do for Saudi enterprises.

🤝
Arabic Enterprise AI Assistant

Deploy a bilingual AI assistant connected to your company knowledge base — policies, contracts, HR documents, product specs — answering employee and customer questions in Arabic and English accurately, with source citations. Used across Saudi government, banking, healthcare, and retail sectors.

📄
Intelligent Document Processing

Extract structured data from Arabic and English documents at scale — contracts, invoices, government forms, financial statements — using LLM-powered extraction that understands context, not just keywords. ZATCA invoice processing, NDMO forms, and Saudi compliance documents handled automatically.

💼
AI-Powered Knowledge Management

Transform scattered Saudi enterprise knowledge — SharePoint, Notion, email, PDFs — into a queryable AI knowledge system. Employees find answers in seconds instead of hours. New hires onboard faster. Institutional knowledge stays in your Saudi organization even when people leave.

🔄
Intelligent Process Automation

Automate complex workflows that previously required human judgment — contract review, regulatory compliance checking, Arabic customer service triage, and financial report summarization — using LLMs that understand context and nuance in both Arabic and English.

📊
AI Report and Content Generation

Automate the generation of recurring business reports, Arabic regulatory submissions, board presentations, and customer communications using LLMs trained on your Saudi organization's writing style, terminology, and brand voice — saving hundreds of hours monthly.

🔍
Semantic Search and Discovery

Replace keyword search with AI-powered semantic search across Saudi enterprise data — finding relevant contracts, precedents, regulations, or internal documents even when the exact words don't match, in Arabic or English, across structured and unstructured data.

Technical Capabilities

Enterprise-grade LLM engineering built for Saudi scale.

LLM API Integration and Orchestration

Production-grade LLM API integration using LangChain, LlamaIndex, and Semantic Kernel — multi-model routing, prompt management, token optimisation, fallback handling, and cost controls for Saudi enterprise workloads.

LangChainLlamaIndexMulti-modelCost controls
RAG System Architecture

Build production Retrieval Augmented Generation systems — Arabic and English document chunking, vector embeddings (OpenAI, Cohere, Arabic models), semantic search, and LLM answer generation with source citations and hallucination controls.

Vector DBArabic embeddingsSemantic searchCitation grounding
Arabic LLM Fine-Tuning

Fine-tune foundation models on Saudi-specific Arabic data — Saudi dialect, domain terminology, regulatory language, and organization-specific writing style — using LoRA and QLoRA techniques for cost-efficient customization.

LoRA fine-tuningSaudi Arabic dialectDomain adaptationRLHF alignment
LLM Evaluation and Safety

Build evaluation frameworks for Saudi LLM systems — accuracy benchmarks, Arabic fluency scoring, hallucination detection, safety filtering, and content policy enforcement aligned to Saudi cultural and regulatory requirements.

Eval frameworksHallucination detectSafety filteringArabic benchmarks
On-Premises LLM Deployment

Deploy open-weight LLMs (Llama-3, Mistral, Jais) entirely within Saudi infrastructure — no external API calls, full NDMO data sovereignty, GPU server optimisation, and quantized model deployment for cost-effective inference.

Llama-3 on-premNDMO sovereignGPU optimisationModel quantization
LLM Monitoring and Observability

Monitor production LLM systems — latency tracking, token consumption analytics, quality degradation detection, prompt injection prevention, and cost dashboards — keeping Saudi enterprise AI systems performing at production standard.

Latency monitoringToken analyticsPrompt injection guardCost dashboards
LLM FAQ · أسئلة شائعة

LLM integration questions answered.

QWhat is LLM integration for Saudi enterprises?
LLM integration connects large language models — GPT-4, Claude, Gemini, or Jais — into Saudi enterprise software to enable intelligent document processing, Arabic AI assistants, knowledge automation, and AI workflows embedded directly into platforms Saudi employees use every day.
QWhich LLMs work best for Arabic language in Saudi Arabia?
For Arabic-first Saudi applications, Crux evaluates GPT-4 (strong multilingual Arabic), Jais (Arabic-native 30B model), Llama-3 fine-tuned on Arabic data, and Claude (strong Arabic reasoning). The best choice depends on use case — Jais performs best for Saudi dialect, while GPT-4 excels at Arabic document analysis.
QHow does RAG work for Saudi knowledge systems?
RAG connects an LLM to your Saudi organization's knowledge base — regulations, policies, products, historical records — allowing AI to answer questions from current Saudi-specific information with source citations, not hallucinations. Crux builds RAG with Arabic document processing and PDPL-compliant data handling.
QCan LLM assistants be deployed on Saudi-hosted infrastructure?
Yes. Crux deploys LLM systems on AWS me-south-1, Azure UAE North, or on-premises GPU servers — ensuring all AI interactions and documents remain within Saudi Arabia's NDMO data sovereignty boundaries. Open-weight models (Llama-3, Mistral) can be deployed with zero external API calls.
QHow long does it take to build an enterprise LLM assistant in Saudi Arabia?
A production LLM assistant with RAG, Arabic support, and enterprise integration takes 6-12 weeks. A focused LLM feature (document summarization, classification) can be delivered in 2-4 weeks. Crux starts with a focused use case delivering immediate value, then expands the LLM platform to cover additional workflows.
"
Our compliance team spent 60% of their time answering the same regulatory questions from 800 employees across Saudi Arabia. Crux built our Arabic LLM knowledge assistant in 8 weeks — connected to 2,400 PDPL, SAMA, and NCA documents. Now it handles 94% of queries automatically in Arabic and English, and our compliance team focuses only on new regulatory challenges.
CLO
Chief Legal Officer
Saudi Financial Services Group · Riyadh, KSA
94%
Queries automated
2,400
Docs in knowledge base
8wk
Delivery time
Build Your LLM Platform · منصة الذكاء الاصطناعي

Your enterprise.
Powered by AI.
Speaking Arabic.

GPT-4. Claude. Jais. Arabic RAG. PDPL compliant. Crux integrates the world's most powerful LLMs into Saudi enterprise platforms — in Arabic and English — in 6-12 weeks.

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