News

New Digital ID Verification Solution Available To Turkish Fintech Apps

The goal is to provide a simpler solution for identity verification and remote customer acquisition to modern fintech apps in Turkey.

Published

5 years ago

April 29, 2021

Joanna Melki

new digital id verification solution available to turkish fintech apps

If there’s anything positive about the coronavirus pandemic and the global wave of lockdowns that followed in response to it, it’s the rapid acceleration of digitalization across all industries. Responding to the fintech companies in Turkey, Insha Ventures and Identify Turkey have created a digital ID verification solution called KimlikBasit.

The goal of KimlikBasit is to provide a simpler solution for identity verification and remote customer acquisition to modern fintech apps, whose digital-only nature clashes with face-to-face verification of customer credentials.

“KimlikBasit is a fintech venture operating in the field of call center-supported remote customer acquisition, providing artificial intelligence-supported biometric data comparison and verification, with solutions designed for businesses, especially financial institutions, to prevent money laundering and identity fraud (AML/KYC),” explains Yakup Sezer, general manager of Insha Ventures.

Users who encounter KimlikBasit in the wild are required to go through only a few simple steps to complete the verification process. First, user information for remote customer acquisition is taken. The user is then redirected to the actual verification process, which consists of document scanning using a mobile device and a brief call with a call center employee. After successful verification, all user information is stored in a secure manner and can be accessed via an administration panel.

Also Read: UAE Is Ready To Test New Face ID Technology In Service Delivery

“We are excited to be a critical part of this digital transformation while witnessing the transformation of the sectors in Turkey through regulations,” said Ali Haydar Ünsal, general manager of Identify Turkey. “In this period when the customer experience has undergone a significant change, we make it easier for companies in critical sectors such as e-commerce, banking, automotive and capital markets to acquire new customers within 10 minutes.”

Fintech apps that would like to implement KimlikBasit can look forward to 24/7 customer support provided by expert teams in multiple languages and a wealth of training material to help with the implementation of this innovative digital ID verification solution.

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.

Published

2 weeks ago

February 27, 2026

Nour Nasir

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.

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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.