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Truecaller Reveals New Brand Identity & Feature Update

The refreshed “True Blue” logo follows an increased commitment to consumer privacy and safety, including new AI anti-fraud features.

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truecaller reveals new brand identity and feature update
Truecaller

Truecaller has been a market leader in call identification solutions for over 14 years, and boasts a staggering 356 million users worldwide.

Today, the company has announced details of a corporate rebranding, including a new app icon for the Google Play Store and Apple App Store. The update not only coincides with a range of updated Truecaller software but is also said to reflect the brand’s “renewed sense of purpose, energy, and enthusiasm”.

Commenting on the announcement, Alan Mamedi, Truecaller co-founder and CEO, said, “We are excited to unveil our new brand identity and logo. It signifies our continued commitment to our users and our focus to constantly evolve and improve every day”.

truecaller new update

As part of the brand refresh, Truecaller users also gain access to a powerful new feature of the company’s AI Identity Engine called Search Context. The software will instantly notify users if the name for the number has been recently changed or is being changed frequently. The app also displays these contextual messages in three color categories: blue for neutral changes, yellow for potentially suspicious activity, and red for highly suspicious or known fraudulent activity. Messages will be shown to Truecaller users on all search results in Android, iOS, and via Truecaller web.

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The new brand identity was created by leading consultants Interbrand and will roll out worldwide over the coming weeks. To see the changes, users need to update to version 13.34 or later on Android and version 12.58 or newer on iOS.

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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.

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nvidia puts gpt-5.5 codex in hands of 10000 staff
NVIDIA

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.

openai's new gpt-5.5 powers codex on nvidia infrastructure 2

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.

Also Read: Deezer Says AI Tracks Now Make Up 44% Of Uploads

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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