News

Flat6Labs Is Seeking The Next Big Levant Region Startups

The program will focus on women, minorities, and internally-displaced entrepreneurs.

Published

3 years ago

March 9, 2023

Nour Nasir

Flat6Labs

Flat6Labs, the MENA venture capital and accelerator, hopes to boost underserved demographics based in Jordan, Lebanon, Iraq, and the Levant region. Announced this week, Flat6Labs’ program will focus on women, minorities, and internally-displaced entrepreneurs.

Open to people aged 18-45, Flat6Labs is searching for entrepreneurs in “education, fintech, financial inclusion, healthcare technology, agriculture, environment, and information and communication technology”.

The program will comprise three main tracks: StartMashreq Academy, the Growth Support Program, and the Incubation program, with the latter featuring interactive sessions, seminars, training courses on specialized topics, and articles from leading regional experts.

Also Read: Nearly All Saudi Gen Z & Millennials Will Be AR Users By 2025

“The Arab world, and the Levant region in particular, has always been full of promising young people with big ambitions. Unfortunately, many of the youth in our region lack access to the tools, resources, and opportunities they need to succeed. Through this initiative, we hope to inspire an entrepreneurial movement and provide the tools and resources necessary to nurture that movement,” says Yehia Houry, Flat6Labs Chief Programs Officer.

For the startup incubation part of the program, four cycles will take place, helping participants to build business plans and growth strategies, along with various mentorship sessions.

News

UAE-Built Falcon-H1 Arabic Leads LLM Benchmarks

The lean Emirati-built language model beats larger global systems and puts Arabic at the center of training.

Published

2 days ago

January 15, 2026

Nour Nasir

uae-built falcon-h1 arabic leads llm benchmarks

Abu Dhabi Technology Innovation Institute

Abu Dhabi’s Technology Innovation Institute has released an Arabic-first large language model that tops global test boards, an uncommon edge for a region long served by English-centric systems.

Falcon-H1 Arabic comes in 3B, 7B and 34B versions. The flagship posts 75.36% accuracy on comprehensive Arabic tasks and ranks first on the Open Arabic LLM Leaderboard. It also outperforms Meta’s Llama-70B and Alibaba’s Qwen-72B while using less than half their parameters. The smallest model beats Microsoft’s Phi-4 Mini by ten percentage points on equivalent benchmarks.

Arabic remains hard territory for AI. Flexible word order, dense morphology and constant switching between regional dialects and Modern Standard Arabic leave many global models missing context or tone. Academic research has pointed to a shortage of annotated datasets for dialect and informal speech. The impact shows up in classrooms, call centers and government portals where Arabic chatbots lag their English counterparts.

TII trained Falcon-H1 Arabic on formal writing, dialects and culturally grounded content. Beyond scores, it handles practical use: long conversations, reasoning rather than literal translation, and inputs of up to 192,000 words — enough for medical records or legal filings.

“The aim is innovation that is accessible, relevant, and impactful,” said Faisal Al Bannai, Adviser to the UAE President and Secretary-General of the Advanced Technology Research Council.

Also Read: Governata Raises $4M For Saudi AI Data-Governance Push

Arabic is spoken by more than 450 million people across over 20 countries, yet has often been treated as a secondary language for foundation models. The UAE move signals a push to flip that logic and build Arabic-native stacks rather than wait for global systems to improve.

Falcon models have led their categories since 2023. With H1 Arabic, TII is offering free access via chat.falconllm.tii.ae for developers, media, healthcare and public-sector users looking to automate in natural Arabic.

As the region continues to invest in sovereign computing and data localization, the addition of Falcon-H1 Arabic adds a powerful tool built for the native language, instead of an afterthought attached to an English-trained system.