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Revibe Has Raised $2.3 Million For Planned MENA Expansion
The Dubai-based online marketplace for refurbished electronics plans to expand across the region while contributing to the circular economy.
Dubai-based startup Revibe has raised $2.3 million in a seed funding round that will allow it to expand its product portfolio across the MENA region, while enhancing the refurbished electronics platform’s contribution to the circular economy.
The investment was led by Egypt’s Flat6Labs and French-based venture capital fund Resonance, plus several other angel investors. Revibe, which primarily sells refurbished smartphones, laptops, and tablets, will now be able to scale its supply chain and diversify its portfolio to include other categories of electronics later this year.
The company was able to grow 500% within seven months across the Gulf countries, with a particular focus on the UAE and Saudi Arabia.
“Our success has come from always meeting our pledge to customers. But we are expanding all the time, and our goal is to gradually introduce all categories of electronics,” explained Hamza Iraqui, co-founder of Revibe.
Revibe’s strategy aligns with the concept of the circular economy — an economic system that focuses on reducing the use of new natural resources and minimizing waste.
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“Refurbished electronics represents a massive opportunity, especially in this time of economic challenges and growing climate awareness, where consumers are more mindful of their carbon impact while facing decreased purchasing power,” noted Maxime Le Dantec, partner and co-founder at Resonance.
Revibe was founded in 2022 and uses a business-to-consumer selling model that offers refurbished electronics at 30-70% less than brand-new items. The company’s team of engineers makes a 50-point check on all products listed on the marketplace and uses artificial intelligence to monitor quality and meet its strict selling standards.
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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.
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