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Talabat And Truecaller Enter Strategic Partnership
Truecaller’s Verified Business Caller ID solution will provide a safe and efficient experience for Talabat food delivery teams, restaurant partners, and end users.
Talabat, a leading MENA food delivery platform, has announced a new strategic collaboration with Truecaller, a platform for verifying contacts and blocking unwanted communication. The partnership aims to revolutionize the food delivery sector by boosting customer safety and streamlining communications using Truecaller’s Verified Business Caller ID suite.
At a time when smartphone users are inundated with nuisance calls, Talabat aims to provide a trusted, secure experience for delivery personnel, restaurant affiliates, and end-customers. Using Truecaller’s Verified Business Caller ID solution, the delivery firm can now provide an authentic brand identity while allowing users to easily spot genuine business calls.
By integrating elements including brand name, logo, category name, verification mark, and a unique green badge, Talabat will now enjoy a unique and more trustworthy presence in the Middle East and North African markets.
Priyam Bose, Global Head GTM & Developer Products, Truecaller, stated: “Truecaller is synonymous with trust and safety in communication […] We are thrilled to partner with Talabat, empowering their restaurant partners and delivery personnel to offer a superior, efficient, and safer communication experience to their customers, from the moment of ordering to the delivery lifecycle”.
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Meanwhile, Hadeer Shalaby, Talabat Egypt MD, emphasized the company’s dedication to seamless operations and end-user satisfaction: “We strongly believe in the power of effective partnerships, and we are pleased to collaborate with Truecaller. This partnership aims to facilitate communication between our customers and delivery teams, ensuring the fastest and safest service possible”.
So far, over 2500+ businesses worldwide have benefitted from Truecaller’s Verified Business Caller ID and other advanced communication features. Besides enhancing business communication efficiency, the company has significantly reduced phone-related fraud and scams, helping to promote heightened customer safety during business communications.
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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