News
Mitgo Launches MENA Publisher Investments Program
The finance service will provide $50,000 to $500,000 to help regional companies grow.
Global tech company Mitgo has launched a new Publisher Investments Program, an alternative financing service that will provide investment opportunities for projects in the MENA market. Initial capital for the fund is $20 million, with the program’s scope expanding as applications are received.
Mitgo’s service will be aimed primarily at the FinTech, smart shopping, generative AI, MarTech, and HRTech sectors. The program will help publishers solve financing gaps and cash flow issues that stand in the way of expansion.
Applicants for funding must earn (or plan to earn) more than 50% of their revenue from cost-per-lead, cost-per-click, cost-per-sale, and other performance-based methods. They also need to be working with Mitgo businesses Admitad and Takeads or with another affiliate network. Companies that do not meet these criteria may still be eligible for funding if they can demonstrate a readiness to earn using the listed advertising models.
Successful candidates will be eligible for $50,000 to $500,000 in funds. In addition, companies will also gain access to the complete Mitgo ecosystem, along with a dedicated strategic manager.
The MENA region will be a key focus for the Publisher Investment scheme, with Mitgo expecting at least 10% of all investments to be made in local projects.
“Their success is our success, which is why we’ll not only provide financial support but also allocate time and resources into mentoring and coaching, as well as giving access to an extensive network of digital advertising contacts,” said Alexander Bachmann, Mitgo CEO & Founder.
Also Read: A Guide To Digital Payment Methods In The Middle East
Mitgo has a successful history in investing, having already closed over 30 deals, including FairSavings ($500K+) and LetyShops ($3M+).
Since the announcement of its Publisher Investments program in June, Mitgo has received 100+ applications and continues actively inviting MENA publishers to submit proposals.
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.
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.
