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VISARUN.AI Raises $700K To Streamline MENA Visa Processing
The funding injection will enhance the company’s AI-driven platform, cutting processing and application times in the UAE and beyond.
AI-driven visa service platform VISARUN.AI has secured $700,000 in pre-seed funding from Swiss and UAE-based angel investors. The fresh capital will be used to enhance the platform, grow the sales team, and expand market presence across multiple regions.
Visa processing in the MENA region has become increasingly complex in recent years due to high application volumes and embassy staffing shortages. With wait times stretching from 4 to 12 weeks, businesses and travel agencies face significant hurdles in organizing trips. VISARUN.AI aims to simplify this process by eliminating paperwork and providing a more structured approach to visa applications.
At the heart of the VISARUN.AI platform is a Smart Visa Route system, which customizes application steps based on various factors such as travel destination, applicant nationality, and approval probability. Additionally, the company is developing an AI Interview Simulation feature, offering virtual consultations with real-time feedback to help applicants prepare more effectively.

“VISARUN.AI represents the future of visa process management. This fresh capital will enable us to fully automate visa processes and develop an advanced AI agent for comprehensive process management,” explained Vladimir Indjikian, President and co-founder of VISARUN.AI.
For businesses, the platform offers a Visa Approval Calculator, allowing users to estimate the likelihood of application success before making travel plans. An Advanced Document Verification system also ensures accurate document analysis, minimizing errors and streamlining the approval process.
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“Our core technology combines computer vision and advanced machine learning models to ensure accurate document verification. In fact, the custom-trained language model cross-validates applicant data, virtually eliminating processing errors,” explained Alena Iakina, co-founder and CCO of VISARUN.AI.
With the ability to process up to 10,000 visa applications per month and reduce manual labor by as much as 70%, VISARUN.AI is positioning itself as a game-changer in the industry, especially in a region where migrant workers and tourists lead to very high demand.
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.
