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Core42 Announces Overhaul Of Compass Platform & Chat App
The raft of new features and tools will empower businesses and developers to build a wide range of GenAI applications.
Cloud and AI infrastructure experts Core42 have overhauled their Compass platform for enhanced navigation and easier access while adding a wealth of new features, including a Compass Chat mobile app.
Earlier this year, the company launched a new inferencing platform — Compass Version 2.0 — integrating Qualcomm Cloud AI 100 Ultra inference accelerators, allowing users to leverage a suite of pre-optimized Generative AI, Embeddings, Natural Language Processing AI models, Computer Vision, and APIs.
The latest update enables developers to analyze their usage on the platform and also includes a Stable Diffusion text-to-image model for high-quality image generation, typography, and prompt responses to queries.
“The Compass platform is a testament to Core42’s pursuit of excellence and innovation in AI infrastructure. The additions of the revamped Compass platform, as well as the introduction of the Compass Chat mobile app, will redefine how businesses interact with AI and provide even greater flexibility and efficiency in today’s digital era,” announced Raghu Chakravarthi, EVP of Engineering, Core42.
Compass Chat — available on Android and iOS — is designed to boost productivity and integrates with Entra ID to enhance security and streamline onboarding. Meanwhile, Retrieval-Augmented Generation (RAG) technology improves data reliability and accuracy. The app features a unified interface, consolidating work and search histories while enabling a more efficient user experience.
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“Compass Chat provides access to leading AI models like GPT-4o and JAIS 30B, ensuring advanced language processing capabilities. It also supports both Arabic and English and offers seamless, synchronized chats across devices, allowing users to maintain productivity at their desks or on the move,” added Chakravarthi.
With the latest update of its Compass platform, Core42 continues to strengthen its product offering and offers yet more proof that the UAE is rapidly becoming a global hub for AI innovation.
News
Nano Banana 2 Arrives In MENA For Google Gemini Users
Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.
Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.
The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.
Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.
The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.
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Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.
By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.
The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.
