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4Sale Launches New Realty Platform In Kuwait
The premium digital experience will offer commercial and residential property to buy or rent, shaking up Kuwait’s $12 billion real estate market.
4Sale, Kuwait’s largest online classifieds platform, has announced the launch of a new real estate experience, 4Sale Realty.
The new realty portal aims to shake up Kuwait’s property sector and revolutionize buying, renting, and selling commercial and residential property.
4Sale Realty will feature immersive interactive 3D tours and an accurate measurement tool to explore the exact dimensions of every listed property. Meanwhile, a team of dedicated agents will manage property listings from end to end, making the platform not just engaging but offering genuine on-the-ground experience of the country’s local markets.
Before the launch of its dedicated Realty platform, 4Sale was already a significant real estate advertiser in Kuwait, hosting over 60,000 listings across the country during 2022 alone.
“We are delighted to launch 4Sale Realty to our customers in Kuwait. Housing demand is projected to rise continuously, and the sector is ripe for technological disruption. We have developed a digital real estate experience to transform the process of buying, selling, and renting property in Kuwait. Part of 4Sale’s rapid growth is driven by a deeper expansion into key verticals – such as real estate, where we already had a strong market position – and I am very excited for consumers to experience it,” said Tarek Sakr, Chief Executive Officer of 4Sale.
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Kuwait continues to invest heavily in cutting-edge technology, and platforms like 4Sale Realty contribute considerably to the growth of the digital economy. The website is already hugely popular, with over 2 million registered users listing 12 million items since its inception.
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.
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.
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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.
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