Kuwacom and Tarjama collaborate to accelerate the rollout of Arabic AI solutions

Kuwacom Technologies and Tarjama announced a memorandum of understanding aimed at accelerating the transition of institutions and government agencies in the region from AI experiments to ready-to-use applications, with an explicit focus on Arabic as the gateway to genuine adoption.

The partnership was announced on the sidelines of the LEB 2026 conference in Riyadh, bringing together Tarjama’s roughly two-decade expertise in Arabic language technologies, its Arabic.AI platform and custom models, with Kuwacom’s capabilities in enhancing inference performance and scalability through the DragonFly infrastructure.

Context:Enterprises face growing challenges when moving from testing to large-scale deployment; Arabic requires models capable of handling linguistic variations, dialects, cultural context and sector-specific terminology, alongside performance, reliability and scalability requirements.

Regional significance:The announcement came from Riyadh at a time when Arabic AI technologies are seeing rising investments; the Arabic.AI platform recently attracted strategic investment and partnership from Huawei. The new partnership adds an infrastructure dimension: integrating selected Arabic models onto Kuwacom’s DragonFly technology and evaluating their readiness for deployment in sectors such as government agencies, telecommunications, financial services, healthcare and education.

Charles Shibly, managing director for the UAE region and head of cloud AI for the Middle East and Africa at Kuwacom Technologies, said that Arabic AI represents a significant opportunity to expand the use of these technologies in the region, adding that the collaboration aims to combine Kuwacom’s DragonFly technologies with Arabic AI capabilities to accelerate the rollout of high-performance, scalable solutions in enterprises and government agencies. For its part, Nour Al-Hassan, founder and CEO of Tarjama, explained that building effective applications requires, in addition to strong models, linguistic expertise, cultural-context understanding and the ability to deploy in real-world work environments.

What this means for readers in the Gulf, Egypt and the Levant: the path toward Arabic sovereignty in AI is no longer a mere statement of intent, but is turning into partnerships that link models with infrastructure and testing with real sectors. The next step tracked by AI Whispers is the results of benchmark tests and model improvements in target environments, and whether they will produce native Arabic applications that replace imported solutions.