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Capifly Finishes Successful $1M Pre-Seed Funding Round
The Jordanian startup has also initiated a $10 million Shariah-compliant, non-dilutive capital facility.
Jordan-based Capifly has announced a successful $1 million pre-seed funding round. In addition, the tech startup is also preparing to launch a $10 million non-dilutive capital facility to coincide with its recent expansion into Saudi Arabia.
Capifly unlocks value in the digital economy by offering a proprietary credit scoring technology across a wide range of sectors, including SaaS, gaming, enterprise software, and internet-based virtual goods. The company is rapidly becoming a leader in providing non-dilutive capital — a style of funding that doesn’t require giving up equity or ownership.
Capifly’s CEO and co-founder, Dunya Bashiti, said, “Our vision positions Capifly at the forefront of the internet’s GDP growth. Our unique technology isn’t just for our use; we’re gearing up to underwrite debt for other financial institutions, solidifying Capifly’s key role in the digital era”.
Funders — including Oasis500, BLDR Ventures, Ahli Fintech, Joa Capital, and various angel investors from Jordan and the KSA — have backed Capifly’s growth and ongoing MENA expansion. According to Ahmed Jaradat, Capifly’s CTO and co-founder, the investors’ belief in Capifly’s vision and technological strengths has been invaluable. “The journey is just beginning, and their continued support propels us forward”.
Also Read: A Guide To Digital Payment Methods In The Middle East
Capifly’s ambition doesn’t stop with Middle Eastern expansion. The company’s long-term strategy includes growth across pivotal emerging markets for Islamic financing, with a particular focus on Southeast Asia, where Capifly has already gained a foothold through using Malaysian registration.
The MENA virtual goods market is currently valued at over $15 billion and is estimated to grow by another $10 billion before 2025. The addition of non-dilutive capital from players like Capifly means the market could soon grow at an even greater pace than is currently forecast.
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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.
