Arabic LLMs at the Core of Workflows
Arabic.AI Techniques and Approach
Arabic LLMs at the Core of Workflows�Arabic.AI Techniques and Approach
Agenda
Introducing Arabic.AI�and Nour Al Hassan, CEO of Arabic.AI group
1
Evolution of Arabic LLMs and why they matter
2
Limitations of standalone LLMs
3
Reality
4
Automation
5
High-level Overview
6
Agent Orchestration Patterns
7
Observability & Evaluation
8
Key Takeaway
9
2008
Founded
Launched
2021
Launched
Expanded to�Qatar
Rebranded to
2024
Introduced
Arabic LLM
Introduced
Content & Design Hubs
Introduced
Staffing Solutions
Launched
Rebranded to
2017
2023
Launched
Acquired
Expanded to�KSA
Launched
2022
Launched
Launched
2025
2014
Acquired by
Nour Al Hassan
The journey from
to
The evolution of
&
Roadmap:
Services Business: The Launchpad
Leading Arabic language services provider with deep sector expertise and a broad range of offerings.
Trusted by 700+ clients over 16 years, with $20M revenue, 7 MENA offices, and recent US expansion.
Data Annotation & Labeling:
Comprehensive data annotation services for AI/ML—rapid, scalable, and quality-driven, supported by a large vetted freelancer network and adaptable workflows.
Quality assurance and bias mitigation guarantee robust datasets for internal and external AI/ML projects.
World-Class Tech Team: The Innovators
Expert team of 65+ engineers, AI/ML specialists, and linguists with strong Arabic language and cultural expertise.
Drives innovation, customization, and ensures top-tier quality, security, and compliance in all services.
LLM Development & Fine-Tuning
Flagship Arabic LLM: leads in Arabic performance, dialect coverage, and specialized domains.
Customization & deployment: Fine-tunes models for enterprise needs using proprietary data, enabling critical sector applications.
Agentic Platform: The Future of Automation
First agentic AI platform in the region—Arabic.AI enables autonomous, multi-step workflows entirely in Arabic.
Automates complex enterprise processes—including document summarization, insight extraction, and customer support.
Seamless integration—scalable and adaptable deployment with client systems.
Growth & Vision
7 regional offices and recent US expansion, positioning us as a global Arabic AI leader.
1
2
3
4
5
6
Introducing
Ureed.com
Our freelancer Marketplace to allow for resource scalability. Connected with CleverSo TMS to seamlessly find, assign and pay translators digitally.
(Also known as: CleverSo)
First Arabic-centric Translation management system (TMS) geared towards the delivery of AI- enabled translation services
(Also known as: T-Portal)
The Gateway for our clients to submit language service orders and content digitally, while also tracking their orders and spending.
Arabic.AI Core
(Also known as: T-Staff)
Digital management of client service orders. Seamlessly connected to our CRM and finance system to allow for automatic data sync of client information and automatic invoice generation.
Who We Are
Arabic-First AI Platform
Purpose-built for Arabic language understanding with native support for dialects and cultural context
Industry Focused Solutions
Specialized in government, finance, retail, and professional services sectors across the region
Enterprise-Grade Security
ISO 27001 certified with GDPR compliance and on-premise deployment options
16+
Years of Arabic�Language Data
40K+
Expert-Vetted�Content
95%
Arabic�Accuracy
3X
Faster Than�Global LLMs
Powered by
Arabic.AI LLM (Pronoia) is the world’s #1-ranked Arabic AI model, our technology is purpose-built for the Arabic language. By combining cutting-edge AI with human expertise, we create scalable solutions that drive efficiency, innovation, and growth.
Why
Accuracy in Arabic
Proprietary Pronoia LLM + Arabic-native retrieval with citations.
Governed at Scale
SSO/SAML, RBAC, audit logs, data residency options (incl. KSA).
Time-to-Value:
No-code Agentic Platform builders, templates, and managed rollout.
Why Did We Pivot Into AI
So… it was a natural progression of products and services spanning over 16 years.
See a Need, Fill a Need!
If there is no one filling a need, then we must do it. Not because of money, because we want to make an impact.
Strong Pride in Our Heritage
Like the great poets of our past, we take pride in our service to our language.
Belief in Local Talent
We have been fortunate to have very talented people who were working on AI even before it became a trend.
New Products Evolution
Application
Arabic.AI | Customs | Social analysis
Platform
Workflows | Agents | Orchestration
Models
Speech | Translation | LLM | Vision
Business Model
Revenue Streams
Customer Value Proposition
Deal Structure
Limitations�Of Standalone LLMs
Stateless interactions
Each request is handled independently, without guaranteed memory of previous interactions—unless context is explicitly provided again.
Broken workflows
Multi-step tasks (e.g., approvals, long reasoning chains) require external state handling.
No goal persistence
Reality Is Broken!
Scale is the game, then HS wins
Giant companies are training general purpose gigantic models
Most real-world problems are domain-specific, not global
Capital, sets ceiling
Winning requires GPUs and infrastructure, which will lock out smaller teams and regions
Smaller teams agility
Leaderboards
Big models excel in general leaderboards
Automations Will Fix It�(Automate everything)
DevOps Automation
Automate building, deployment and testing
Cookie Cutter
Vibe Coding with Templates: From CookieCutter to Production
Automate Workflow Evaluation
Monitor and validate pipeline performance automatically
Evaluation Demo
High-Level Overview
Software Engineering Tips
Software engineering
The application of an empirical, scientific approach to finding efficient, economic solutions to practical problems in software.
Optimization and trade-offs
Soak test
Learning
You must become an expert at learning and expert at managing complexity.
Complexity is needed!
Right product -> Product right
Value
Two-thirds of ideas produce zero or negative value. So Fail fast
Complex systems
Fruits of working through problems. Exploring solutions, But don’t start with over-engineering
Tech stack
Decoupling
More code
DevOps tips
Virtualization VS Containers
More code
CI/CD
Decoupling
Show them our cluster, delete pods, …
Microservices
DORA
Software Engineering Tips
AI Terminologies
RAG
Embedder
RL
ReAct
Agentic AI Platform
Frontier VS Opensource
Go Over Them
Live Demo
Agent Orchestration Patterns
Baseline Pattern
1
Hierarchical
2
Planner & Executor
3
Peer to Peer
4
Role Based
5
HITL
6
Key Takeaways
Arabic LLMs Are The Engine
1
Autonomous Workflows Are The Vehicle
2
Software Engineering Is The Road
3
THANK
YOU
© 2026
arabic.ai
info@arabic.ai
+966 115207125