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Meta & Startupbootcamp Program Will Promote MENA Startups

The initiative will encourage AI adoption through a series of workshops and bootcamps and offer $500,000 to support product development.

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meta and startupbootcamp program will promote mena startups
Llama Design Drive

Facebook and Instagram owner Meta has begun a collaboration with Startupbootcamp, a startup accelerator responsible for over 1,600 successful launches.

The strategic partnership aims to boost the MENA region’s startup scene using cutting-edge AI technologies through its Llama Design Drive initiative.

The program consists of three four-week sprints that will take place across the United Arab Emirates, Saudi Arabia, and Egypt. Llama Design Drive highlights include workshops and mentorship sessions and strategic partnerships with industry thought leaders.

The program by Meta and Startupbootcamp hopes to bridge the gap between established companies and the dynamic AI startup sector. To that end, Llama Design Drive will promote the use of Meta’s open-source large language model, Llama 3.1, helping companies develop products that tackle “real-world challenges in mobility, aviation, energy distribution, retail, and real estate”.

Startups recruited into the Llama Design Drive program will get the opportunity to be fast-tracked into a global initiative sponsored by Meta and have the chance to win up to $500,000 to support future product development.

“Our program not only promotes the adoption of AI technologies to develop solutions for corporate challenges but also facilitates connections between startups, corporates, and industry experts to expand networks and gain valuable knowledge and technical skills,” explained Ibrahim “Abe” Seksek, CEO MENA at Startupbootcamp.

Also Read: The Most AI-Proof Career Opportunities In The Middle East

“The whole world is excited to see how AI can add value to people’s lives,” added Joulan Abdul Khalek, Policy Programs Manager, Africa Middle East and Turkey at Meta. “Llama Design Drive is a great example of how open source can bring people together to co-create meaningful AI solutions. By doing so, we hope to cultivate a thriving community of tech talent across the region, working with them to unlock the potential of these exponential technologies to address real-world challenges”.

The MENA region — and the Middle East in particular — is ideally positioned for AI sector dominance, with both governments and businesses scrambling to adopt advanced technologies. In real terms, the Middle East as a whole is expected to reap 2% of the total worldwide benefits of AI by 2030, with annual growth surging to 20-34% across the region.

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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.

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nano banana 2 arrives in mena for google gemini users
Google

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.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

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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