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Kuwait’s Raha Is An E-Grocery And Logistics Tech Startup
The company has already raised $7 million and plans to secure further funding to fuel GCC growth.
Launched in 2022, Raha, a Kuwaiti e-grocery and logistics startup founded by Saleh Al Tunaib, plans to disrupt the local food delivery sector using a mixture of advanced robotics and automation.
Raha offers a full range of fresh produce, groceries, and other household essentials. The company’s smart ordering platform leverages user data to provide a personalized experience, while a robot fulfillment team manages a mixture of products and made-to-order recipes inside Kuwait’s first fully automated distribution center.
Despite upfront costs, the robot-operated systems have better profitability margins from the third year onwards compared to conventional labor-intensive sorting and picking systems, Al Tunaib says: “it saves on manpower, it saves you the amount of real estate you require […] and it’s also very energy efficient”.
Saleh Al Tunaib began his career in Kuwait in 2010 and co-founded the crowdfunding platform Jaribha in 2011. By 2013, Al Tunaib was working at the OnCost Cash and Carry chain of grocery stores and had risen to the position of chief executive by 2016.
Also Read: Mobile Trends Shaping MENA In 2024
Due to changing habits in the wake of the pandemic, the MENA online grocery market is currently booming and was valued at $4.5 billion last year. The sector is forecast to grow massively by 2030, reaching a peak of $25 billion, according to consultancy firm RedSeer.
Since the launch, Raha has raised nearly $14 in seed funding and grown to become a multi-sector technology provider. The startup now has its sights firmly set on further GCC expansion.
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.
