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Pyypl Growth To Accelerate After $20 Million Investment
The Abu Dhabi-based financial platform continues to go from strength to strength, with sights set on a huge regional expansion.
Pyypl (pronounced “people”), the Middle East and Africa-focused financial services platform, has just secured $20 million in Series B funding from international investors, as well as ten of its existing backers.
Since being founded in 2017, the Hub71 member has raised nearly $40 million in investment capital. This recent financing round will help the platform increase its reach even deeper into the MEA region.
As the company develops what’s known as “Pyypl 2.0”, new features and proprietary technology will also be built to enhance user experience and help scale in new markets and business verticals. Pyypl is led by a skilled management team with a proven track record and is now one of the fastest-growing fintech companies in the region, quadrupling its user base and transaction volumes in just 12 months.
Pyypl has established key partnerships since its foundation, and now boasts a mature and expansive financial ecosystem that includes Visa, several payment gateway partners, Ripple, and Binance. Based in Hub71, Abu Dhabi’s global tech ecosystem, Pyypl also gains access to a wide-ranging network of partners and benefits from a strong local talent base.
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The combination of proprietary technology, an experienced management team, and a unique multi-product approach is paying dividends for the startup, which seems to have been founded at the exact right time to benefit from the region’s growing tech landscape. The ecosystem boasts “internationally accepted virtual and physical prepaid cards, instant domestic and international user-to-user transfers as well as remittances to 38 currency destinations”, with plenty of additional features being added to the roadmap.
“We welcome our new investors and appreciate the further investment from our existing shareholders to support our financial inclusion journey. We have grown significantly since our Series A round and are excited to enter the next phase of growth and capability. This is just the beginning,” says Antti Arponen, co-founder and CEO at Pyypl.
Pyypl’s platform offers key financial services via a single app, and could benefit up to 800 million financially underserved smartphone users across Africa and the Middle East.
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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