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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.
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.
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“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
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
The chipmaker has significantly expanded OpenAI’s latest model across teams from engineering to HR under tight internal controls.
NVIDIA has started rolling out OpenAI’s GPT-5.5 model through the Codex coding agent to more than 10,000 employees, extending the tool well beyond software teams and into core business functions.
The deployment covers engineering, product, legal, marketing, finance, sales, HR, operations and developer programs. Staff are using Codex for coding, internal research and routine knowledge work as companies test whether AI agents can move from demos to daily use.
GPT-5.5 is running on NVIDIA’s GB200 NVL72 rack-scale systems, linking OpenAI’s newest model directly to the chipmaker’s latest infrastructure push. NVIDIA said the systems cut cost per million tokens by 35 times and raise token output per second per megawatt by 50 times versus earlier generations.
Inside the company, it says the effects are immediate. Debugging work that once took days is being finished in hours and experiments across large codebases that used to stretch over weeks are now handled overnight. Teams are also building features from natural-language prompts with fewer failed runs.
In a company-wide note urging staff to adopt the tool, CEO Jensen Huang wrote: “Let’s jump to lightspeed. Welcome to the age of AI.”
Security remains central to the rollout. Codex can connect through Secure Shell to approved cloud virtual machines, allowing agents to work with company data without moving it outside approved environments. NVIDIA said it assigned cloud VMs to employees so agents run in isolated sandboxes with full audit trails.
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The company added that the setup uses a zero-data-retention policy. Access to production systems is read-only through command-line tools and internal automation layers.
The move also highlights NVIDIA’s long relationship with OpenAI. NVIDIA said the partnership began in 2016, when Huang personally delivered the first DGX-1 AI supercomputer to OpenAI’s San Francisco office.
The two companies have since worked across hardware and model deployment. NVIDIA also said OpenAI plans to deploy more than 10 gigawatts of NVIDIA systems for future AI infrastructure.
For Gulf markets pouring money into sovereign AI and enterprise automation, the signal is clear: internal AI agents are moving from pilot phase to standard tooling.
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