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Tarabut Teams With FLOOSS For Faster Loan Approvals
The new Income Verification product is the first and fastest digital loan service in Bahrain.
Leading MENA Open Banking company Tarabut has announced a collaboration with Bahrain-based digital lending platform FLOOSS.
The pioneering partnership has created Bahrain’s first Open Banking-enabled digital lending service, significantly reducing loan approval times to mere minutes using Tarabut’s Income Verification solution.
Previously, loans could take up to two weeks to approve. By leveraging the latest Open Banking APIs, FLOOSS customers now enjoy a seamless lending journey with enhanced security and no longer need to submit salary certification during the application process manually.
Abdulla Almoayed, Founder and Chief Executive Officer of Tarabut, said, “We are proud to announce our latest partnership with FLOOSS, one of Bahrain’s leading lending platforms. Together, we are promoting financial inclusion and developing Bahrain’s financial infrastructure in line with the country’s plans for a robust financial ecosystem. Everyone should have access to affordable and efficient lending facilities, and this partnership is a crucial step towards that goal”.
Fawaz Ghazal, Chief Executive Officer of FLOOSS, said, “The customer lending experience and journey must be reimagined; customers expect more from their financial service providers. Working with the team at Tarabut, FLOOSS has implemented a customer-first solution that improves lending processing times to a few minutes and more seamlessly than any other lenders, anytime and anywhere. We are proud of the innovative work and look forward to more announcements with our partner, Tarabut, in the Kingdom of Saudi Arabia soon”.
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In Bahrain, demand for personal loans is steadily growing and now totals BD 5.7 billion or 38.2% of GDP. As Tarabut collaborates with more lenders, financial enterprises and banks across the MENA region, the payment landscape is rapidly becoming more diverse and modern. Open Banking technology is a key feature of modern financial infrastructures and helps businesses maximize revenue, reduce operational costs and enrich customer experiences.
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.
NVIDIA Puts GPT-5.5 Codex In Hands Of 10,000 Staff
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