GCC AI Startup ·
Nanovate, an Egyptian AI startup, has raised $1 million in pre-seed funding. The round was led by বিনিয়োগ, with participation from angel investors. The company plans to use the funds to expand its AI-powered solutions across various sectors. Why it matters: The funding will enable Nanovate to further develop its AI capabilities and expand its reach in the Egyptian market.
GITEX ·
Egypt has announced it will host the first AI summit in the Middle East and Africa in 2026. The announcement was made by the Minister of Communications and Information Technology during a conference. The summit aims to gather experts, policymakers, and stakeholders to discuss AI's potential and challenges. Why it matters: This event could position Egypt as a regional leader in AI discourse and development.
GITEX ·
Ai Everything MEA will debut in Egypt in 2026. The event aims to unite AI leaders, experts, and policymakers to explore AI's transformative potential in the Middle East and Africa. The event will focus on fostering innovation, collaboration, and responsible AI adoption. Why it matters: This event signals growing interest in AI development and deployment across the MEA region, particularly in Egypt.
MBZUAI ·
A delegation from MBZUAI visited Egypt to discuss potential collaborations with Egyptian universities in AI. Discussions involved joint research projects in healthcare and Arabic language processing, establishing joint AI labs, faculty exchange programs, and dual degree programs. MBZUAI expressed its enthusiasm for collaborating with Egyptian universities, offering its faculty and research capabilities. Why it matters: This partnership can help advance AI research and education in both countries, especially in areas like Arabic NLP and AI applications in healthcare, fostering regional AI talent and innovation.
GCC AI Startup ·
Egyptian AI startup Intella, specializing in Arabic speech recognition, has raised $12.5 million in funding. The round was led by বিনিয়োগ, with participation from other investors. Intella plans to use the capital to expand its Arabic AI speech models and related services. Why it matters: The funding will help advance Arabic language AI capabilities, which are currently underserved compared to English-centric models.
arXiv ·
The authors introduce Nile-Chat, a collection of LLMs (4B, 3x4B-A6B, and 12B) specifically for the Egyptian dialect, capable of understanding and generating text in both Arabic and Latin scripts. A novel language adaptation approach using the Branch-Train-MiX strategy is used to merge script-specialized experts into a single MoE model. Nile-Chat models outperform multilingual and Arabic LLMs like LLaMa, Jais, and ALLaM on newly introduced Egyptian benchmarks, with the 12B model achieving a 14.4% performance gain over Qwen2.5-14B-Instruct on Latin-script benchmarks; all resources are publicly available. Why it matters: This work addresses the overlooked aspect of adapting LLMs to dual-script languages, providing a methodology for creating more inclusive and representative language models in the Arabic-speaking world.