News

Yango Showcases AI Robots Amid Rising Fulfillment Costs

The company is debuting the high-tech solutions at this year’s Seamless Middle East event, where attendees can experience live demonstrations.

Published

2 years ago

May 15, 2024

Nour Nasir

Yango

Global tech company Yango is debuting its AI-driven warehouse robotics and pick-and-place solutions at the Seamless Middle East event, which is currently running in Dubai (May 14-16). The technologies aim to combat the rising fulfillment costs that are burdening the e-commerce, retail, logistics, and manufacturing sectors.

In e-commerce, fulfillment now represents one-third of all operating expenses. Global giant Amazon saw fulfillment costs rise from 31% of net sales in 2021 to 36% in 2023. Yango’s solutions could provide a much-needed remedy to these escalating figures.

At Seamless Middle East, attendees can experience live demonstrations of Yango’s robotic pick-and-place hardware. This technology leverages “advanced computer vision” to allow stationary robots to perform like human operatives while still managing to move 800 items per hour.

Yango has also introduced stock-taking, goods, and pallet-moving solutions to streamline inventory management and fulfillment. The company’s robots can autonomously navigate warehouses and work together with other machinery to get tasks done faster and more accurately.

Also Read: Plans Underway For Massive Middle East Autonomous Freight Network

Alexei Filippov, Head of Global Business Development at Yango Robotics, said: “As fulfillment costs continue to rise, our warehouse robotics solutions come at a crucial time to help businesses not just survive but thrive. Our new robotics pick-and-place platform, mobile warehouse robotics solutions, and other technologies show Yango’s commitment to innovation and efficiency [and] we’re excited to debut [them] at Seamless Middle East”.

Yango is also showcasing further technologies at the exhibition, including autonomous delivery robots and the AI-powered White Label App and AI Shelf Monitoring System for retail applications.

To learn more about Yango’s solutions and their capabilities, visit the company’s stand (H2-G36) during Seamless Middle East, running until the end of May 16, or find Yango’s thought leaders at one of the event’s panel 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

1 day 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.