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Sarwa Helps UAE Residents Easily Invest In Global Stocks
Sarwa, the UAE-based online investment platform that is democratizing investing in the region, allows anyone to invest small amounts of money in global markets making investing simple and affordable for all investors in the Middle East.
Thanks to modern technology, lucrative investment opportunities are no longer available only to individuals with traditional access to stock markets. These days, there are many apps that let inexperienced and seasoned investors alike sit on a couch and invest their hard-earned money using nothing but a smartphone, and Sarwa is one of them.
The investment platform launched in February 2018 after raising over $1.3 million from regional and global investors during a pre-Series A. “We’re so excited to close this round with the top VCs regionally and internationally that are backing Sarwa in its growth,” said Mark Chahwan, CEO and co-founder of Sarwa, at the time.
Sarwa Founders
Fast-forward to today, and Sarwa has over 25,000 registered users, who use it to invest in international stock markets through a range of class assets. Sarwa caters to everyone regardless of their net worth: the platform has high net worth individuals, mass affluent as well as small retail investors. The same users will soon be able to trade with global shares without paying any commission on their trades.
What separates Sarwa from other investment platforms that are licensed to operate in UAE, such as Wealthface or Stashaway, is its AI-driven hybrid nature and exceptional customer support. The app platform uses artificial intelligence to recommend a specific investment portfolio based on each investor’s preferences and investment priorities while also providing their client base with access to humans when needed.
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“When you start investing with Sarwa, we assess your risk profile and recommend a diversified portfolio that reflects it,” explains Chahwan. “If you are a short-term investor, then your portfolio will inherently be less risky. If you are in a portfolio that has more exposure to stocks, which is considered more growth and more risk, then you are in it for the long-term and the short-term (even if it is a couple of years) won’t have an impact on your long-term strategy.”
In its beta form, access to global stock trading will be provided exclusively to Sarwa Invest customers, but other Sarwa users can enter a waiting list to join when the full product is launched.
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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