News
Meet JAIS Chat: The AI-Powered Chatbot For Arabic Speakers
The AI-driven mobile app was created by Core42 and offers seamless cross-language communication and advanced AI assistance.
Core42, a subsidiary of Abu Dhabi’s G42 specializing in sovereign cloud solutions, cybersecurity, and AI infrastructure, has launched JAIS Chat, a mobile app for iOS.
Developed to cater to the increasing demand for Generative AI capabilities in the Middle East, the user-friendly chatbot serves both English and Arabic speakers, understanding various local dialects and cultural subtleties.
JAIS Chat allows seamless translation and cross-language communication on a large scale, leveraging AI to empower Arabic speakers worldwide. With its mobile version, JAIS Chat brings accessibility, efficiency, and convenience to users’ daily interactions, providing AI-driven assistance wherever they go.
Powered by JAIS 30B, the world’s leading Arabic Large Language Model (LLM), JAIS Chat boasts unparalleled Arabic language processing and accuracy. Core42 claims that the chatbot now rivals top-performing English language models of a similar size.
Andrew Jackson, Chief AI Officer at Core42, said, “Since the inception of JAIS in August 2023, the response has been overwhelmingly positive, and with the recent launch of JAIS 30B, we’ve witnessed a significant enhancement in its performance metrics compared to its predecessor, JAIS 13B. With its Arabic-first approach, JAIS reshapes how bilingual individuals interact with technology, and with JAIS Chat for mobile, we are delivering the next advancement in our mission to democratize AI access for the world”.
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JAIS Chat is now poised to revolutionize various sectors across the wider Middle East, from government communications to customer service automation with AI-powered functionalities that also include chat summarization and new content generation.
Future updates will integrate document processing, customizable user settings, voice conversation capabilities, and enterprise support for businesses seeking tailored AI solutions.
Apple users can download the chatbot on the App Store. If you’re interested in taking a more detailed look under the hood, click here.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
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