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Sajdah Is The World’s First Smart Rug That Helps You Perfect Your Prayers
Sajdah features a built-in LED display, a speaker, and rechargeable batteries, allowing it to display the text of the Holy Quran and play voice prompts to guide you as you pray.
The Middle East has always had a passion for technology and innovative solutions in general. When the coronavirus pandemic first hit, private businesses and public organizations in the region quickly implemented digital solutions to overcome the challenges presented to them.
While global vaccination efforts are accelerating and paving the way for the eventual transition to normalcy, it will still take a lot of time for the last social distancing measure to be lifted. Until then, millions of Muslims around the world will continue praying at home, not always being sure how to pray without directions.
Qatar-based Thakaa Technologies is now trying to solve this problem with their first-ever smart educational prayer rug, called Sajdah. The rug is available exclusively on LaunchGood, and you can get it with a discount of nearly 50 percent if you hurry up.
“Technology is entering every part of our lives. We’re using technology to communicate, learn, socialize, exercise, and organize our life,” said Abdulrahman Saleh Khamis, CEO and co-founder of Thakaa Technologies. “We hope everyone is as excited as we are and urge our Muslim brothers and sisters to log on to LaunchGood and pre-order Sajdah,” added Abdul Ali, the co-founder and Chief Growth Officer of Thakaa Technologies.
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Sajdah features a built-in LED display, a speaker, and rechargeable batteries, allowing it to display the text of the Holy Quran and play voice prompts to guide you as you pray. You can pair the rug with your smartphone through the Sajdah mobile app and use the app to pre-program the parts of the Quran you want to display during your prayer, control the speed of the prayer, and a whole lot more.
At the moment, prayer guides and Quran verses can be displayed in English and Arabic, but Thakaa Technologies promises to add support for more languages with future updates to Sajdah.
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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