عربي

Arabic.AI launches MENA's first B2B agentic AI platform

Arabic

Arabic.AI launches MENA's first B2B agentic AI platform
  • Tarjama’s Arabic.AI platform has emerged from stealth mode, unveiling what executives call the first truly agentic AI platform specifically engineered for the Arabic language.
  • Arabic.AI offers enterprises three solutions to leverage its powerful Pronoia engine and platform, tailored to meet different business needs.
  • Founded in the UAE in 2008 by Nour Al Hassan, Tarjama has been committed to empowering Arabic-speaking markets through innovative language technology solutions, with offices spanning MENA, the U.S., and Europe.
  • Pronoia, powered by Tarjama, is an advanced large language model (LLM) specifically designed for Arabic enterprise applications that provides unparalleled accuracy and contextual understanding in sectors including legal, medical, and business.

Press release: 

Arabic.AI emerged from stealth mode today, unveiling what executives call the first truly agentic AI platform specifically engineered for the Arabic language. The Dubai-based startup, with offices spanning MENA, the U.S., and Europe, enters the market with substantial technical advantages over global competitors.

Founder's Vision: A Deeply Local, Globally Competitive Model

Founded by serial entrepreneur Nour Al Hassan, recognised for building language technology provider Tarjama& Arabic.AI has developed Pronoia, a proprietary large language model that benchmarks show outperforming GPT-4, Deepseek, Cohere and other leading systems on Arabic language tasks.

"For too long, Arabic has remained an afterthought in the global AI landscape," Al Hassan told reporters during the launch event. "We've built something fundamentally different—an autonomous system that actually understands the nuances of Arabic across multiple dialects and contexts."

The company's agentic platform allows AI systems to execute complex tasks independently, orchestrating multi-step workflows without continuous human guidance. Early enterprise adopters have deployed the technology across financial services, healthcare, legal, and media operations.

Flexible Deployment: Platform, Engine, or Custom Solutions

Arabic.AI offers enterprises three distinct ways to leverage its powerful Pronoia engine and platform, tailored to meet different business needs:

Licensing the Engine: Clients can license Pronoia—the underlying large language model—and embed it directly into their own software or infrastructure, without using Arabic.AI’s full platform.

Workflow Integration: Organisations can access the Arabic.AI platform as a standalone solution or integrate it into existing systems, using it in applications such as chat interfaces, content generation, or document analysis.

Custom AI Solutions: For enterprises with unique requirements, Arabic.AI offers fully customised solutions. These may involve adapting Pronoia or incorporating additional AI models beyond the core platform to meet highly specialised use cases.

This flexible model allows organisations across industries to tap into cutting-edge Arabic AI—whether through plug-and-play tools, enterprise integration, or fully tailored deployments.

Autonomous Intelligence for Enterprise at Scale

Several Fortune 500 companies are testing Arabic.AI in production environments after participating in pilot programmes, according to company officials.

The technology builds on a massive dataset compiled over 16 years, giving it contextual understanding that generic models lack when processing Arabic content. The company offers flexible deployment options, including cloud-based, on-premises, and API access.

"What makes this significant is the autonomous capability," said AI Product lead, Andrii Klyiman, who orchestrated the launch. "Previous Arabic AI solutions required extensive human oversight. This represents a notable advancement in how enterprises can handle Arabic content at scale."

Arabic.AI enters the market at a time when regional investment in AI infrastructure is accelerating, with MENA organisations increasingly seeking Arabic-specific business technology solutions rather than retrofitting Western systems.

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