Technology
FROM PILOTS TO POWER INFRASTRUCTURE: HOW THE GCC IS ENGINEERING THE NEXT PHASE OF AI
By Farid Yousefi, Founder & CEO, Finder Group Ai
Artificial intelligence in the Gulf Cooperation Council (GCC) is entering a decisive new chapter. What began as experimentation, ie, isolated pilots, proof-of-concept chatbots, and innovation lab demos, is rapidly evolving into something far more consequential. In 2026, AI will no longer sit at the periphery of digital transformation strategies. Instead, it will operate as a foundational layer of economic, industrial, and civic infrastructure, embedded into how energy systems run, how governments serve citizens, and how capital flows through the region.
This shift reflects a broader reality: the GCC is no longer merely adopting global AI trends, but actively shaping its own AI paradigm, one that is grounded in sovereign control of data and compute, tuned to Arabic language and local context, and aligned with national visions that prioritize scale, speed, and long-term resilience. The region’s ambition is not incremental improvement, it is to redefine how intelligence itself is designed, governed, and deployed at national scale.
The Maturation of Generative and Agentic AI
By 2026, the most significant leap in AI capability across the GCC will come from the maturation of generative AI and “agentic” AI systems. These technologies move beyond passive analytics or conversational interfaces. Agentic AI can reason, plan, and take actions across complex workflows, effectively acting as a digital operator rather than a static tool.
Crucially for the region, large language models fine-tuned for Arabic dialects and Gulf-specific context are rapidly improving. This has profound implications. Customer-facing AI systems are becoming genuinely fluent, capable of understanding nuance across Modern Standard Arabic, Gulf dialects, and bilingual Arabic-English interactions. Banks can now deploy AI-driven fraud detection and customer support in Arabic without sacrificing accuracy or trust. Governments can offer multilingual virtual assistants that guide citizens through services with clarity and cultural sensitivity.
Beyond language, real-time predictive analytics is reaching operational maturity. In energy and utilities, AI models are being trained to detect early warning signs of equipment failure on oil rigs, pipelines, and power grids. The economic impact is significant: preventing a single unplanned outage can save millions of dollars while improving safety and environmental outcomes.
In logistics and smart cities, multimodal AI, systems that simultaneously process images, sensor data, and text, is transforming operations. Ports are using AI to automate customs paperwork and optimize cargo routing. Cities like Dubai and Riyadh are deploying AI to dynamically manage traffic congestion, monitor infrastructure health, and improve public safety. These capabilities signal a clear transition: AI is no longer an experimental back-office function, but front-line infrastructure, intelligence delivered as a utility.
Redesigning Government and National Infrastructure Around AI
This technological maturation is reshaping how GCC governments think about digital services and national-scale infrastructure. Traditional e-government portals, static, form-based, and siloed, are giving way to AI-powered concierge models. Instead of navigating multiple platforms, citizens increasingly interact with a single intelligent agent.
Imagine a system that can visually review submitted documents, understand a request in natural language, and execute transactions across multiple departments in one seamless interaction. This is not a distant vision. Across the GCC, ministries are already using generative AI to automate administrative tasks, summarize regulations, and simulate policy outcomes. These early deployments foreshadow a future where agent-based systems anticipate needs and act proactively.
Mega-projects and smart city initiatives are embedding AI from inception rather than retrofitting it later. With dense networks of IoT sensors feeding real-time data, cities such as NEOM, Riyadh, and Dubai are building AI “control layers” that continuously monitor traffic, energy consumption, water usage, and security. Agent-based systems can then coordinate responses, rerouting vehicles, balancing power loads, or flagging anomalies, without waiting for human intervention.
The result is self-optimizing infrastructure. Humans remain responsible for strategy, ethics, and oversight, while AI executes decisions at machine speed. This represents a fundamental shift in governance and urban management: designing for intelligence at scale rather than manual supervision.
Sovereign Compute: The Backbone of GCC AI Ambitions
None of this transformation is possible without a parallel revolution in AI infrastructure. The GCC’s aspiration to become a global AI hub hinges on sovereign compute capacity – control over the data centers, chips, and energy that power advanced AI models.
Over the past two years alone, sovereign wealth funds across the region have mobilized more than $100 billion toward AI infrastructure. This scale of investment is unprecedented, outpacing even Europe. Landmark initiatives such as Abu Dhabi’s Stargate project, a multi-gigawatt data center campus designed to host and train large AI models on local data, and Saudi Arabia’s plans for up to 6 gigawatts of AI data centers under its HUMAIN initiative exemplify this ambition.
The region enjoys a structural advantage in this race: energy. Power costs in the Gulf are less than half those in many European markets, providing a natural edge in the energy-intensive process of training large models. At the same time, operators are innovating to address environmental and climatic challenges. Advanced cooling technologies, including liquid immersion cooling, are being deployed to operate efficiently in summer temperatures exceeding 45°C. Renewable energy integration is also increasing, aligning AI growth with sustainability goals.
Equally important is sovereign control over hardware. GCC nations are investing in local chip design programs and forging strategic partnerships to secure access to cutting-edge AI processors. In an era of global supply-chain uncertainty, this control over compute is becoming as strategically important as control over oil reserves once was. The region is effectively converting its natural advantages of capital and energy into a durable compute advantage for the AI age.
Where ROI Is Materializing First
From an investment standpoint, the strongest returns in the GCC are emerging where AI delivers direct, measurable impact. Predictive maintenance in energy and utilities is a prime example. AI systems that prevent equipment failures or optimize drilling operations offer immediate cost savings and operational resilience. Unsurprisingly, pilots in oil and gas—such as AI models analyzing drilling plans—are rapidly scaling into production environments.
In financial services, AI-driven fraud detection, risk scoring, and KYC automation are moving from experimentation to enterprise-wide deployment. Banks across the region have demonstrated that these systems reduce losses, improve compliance, and significantly speed up customer onboarding. Customer service automation is also reaching maturity. Telecom operators, airlines, and government agencies that once piloted Arabic-language chatbots are now preparing to replace tier-one support entirely with AI agents, improving availability while lowering costs.
Logistics represents another high-ROI frontier. Gulf ports and free zones are scaling AI solutions that automate documentation, optimize cargo flows, and reduce bottlenecks. Successful trials have shown faster throughput and improved competitiveness—critical advantages for economies positioning themselves as global trade hubs.
The common thread is pragmatism. Investors and enterprises are increasingly prioritizing AI that solves real problems and delivers returns per dollar invested. The era of AI experimentation without clear outcomes is giving way to disciplined scaling of proven use cases.
Regulation as an Accelerator, Not a Constraint
As AI adoption accelerates, governance has become a central pillar of the GCC’s strategy. National AI frameworks in the UAE, Saudi Arabia, and Qatar are establishing trust-first guardrails focused on transparency, accountability, and human oversight. These policies are not designed to slow innovation, but to ensure it scales safely.
Saudi Arabia’s guidelines, for example, mandate human oversight for public-sector AI and require transparency measures such as watermarking AI-generated content. Qatar’s central bank has introduced governance rules requiring audits and human review for high-stakes algorithms. These frameworks inevitably influence data flows, encouraging sensitive information to remain within national borders.
While this localization may initially limit free cross-border data movement, it is simultaneously fueling massive investment in regional cloud and data center infrastructure. Over time, regulatory alignment across the GCC, particularly around shared principles of fairness, accountability, and transparency, will enable AI solutions certified in one country to scale regionally. Clear rules reduce uncertainty, giving enterprises and investors confidence to deploy AI at scale.
The Hidden Risks of Autonomous AI
Despite the momentum, risks remain, and some are underestimated. One of the most significant is overconfidence in AI accuracy. Even advanced models can hallucinate or fail, particularly when dealing with local dialects or sparse data. In high-stakes sectors such as security, healthcare, or law enforcement, such errors can have serious consequences. Human oversight is therefore not optional, regardless of how autonomous a system becomes.
Operational fragility is another concern. Many organizations overlook infrastructure dependencies, such as reliance on imported GPUs or insufficient cooling and backup power for data centers. In the Gulf’s climate, these vulnerabilities can quickly become systemic risks. Cybersecurity also takes on new dimensions as AI systems gain autonomy, expanding the attack surface for malicious actors. A compromised AI traffic system or a convincing deepfake could undermine public trust overnight.
Finally, reputational and regulatory backlash remains a risk if AI is misused or deployed without adequate safeguards. A single incident involving biased decision-making or a privacy breach could slow adoption across entire sectors. Rigorous testing, transparency, and fail-safes, the unglamorous aspects of AI, are essential for sustainable progress.
Who Will Lead the GCC AI Race?
By 2026, leadership in the GCC AI landscape will be shaped by a combination of talent, data, sovereign strategy, and investment appetite. The UAE and Saudi Arabia are poised to lead, each leveraging distinct strengths. The UAE’s early-mover advantage, world-class institutions such as MBZUAI, and deep integration of AI into daily life have positioned it as a global reference point for adoption. Saudi Arabia, meanwhile, brings unmatched scale, capital, and data assets particularly in energy, making it the region’s AI infrastructure powerhouse.
Other GCC nations will lead in targeted ways. Qatar is emerging as a center for ethical AI and safe deployment, Bahrain as a pioneer in cloud-first government integration, and Oman as a steady builder of digital infrastructure and local talent pipelines. Across industries, government services will continue to drive adoption, while energy and finance lead commercially.
From Oil Wells to “Intel Wells”
Ultimately, the GCC’s AI journey is about more than technology, it’s about redefining economic value creation. The region is moving from oil wells to “intel wells,” treating data and insight as the new strategic resource. At Finder Group AI, our mission is to connect the region’s abundant capital with its brightest innovators responsibly, transparently, and at scale.
By 2026, the global conversation will shift from AI hype to AI habitat. The Gulf will not just be adopting AI, but exporting a new standard, one that balances cutting-edge innovation with trust, governance, and purpose. The rise of the GCC as an AI hub will create opportunities far beyond its borders, shaping the next phase of the global AI economy on the region’s own terms.
-Ends-
About the Author:
Farid Yousefi is a serial entrepreneur and innovator leading the development of Finder Group Ai, an AI-powered venture builder ecosystem based in Dubai. With a strong background in strategy, business development, and technology adoption, his focus is on helping ideas transform into scalable businesses through AI-driven solutions.
His work spans across building and mentoring startups, forging partnerships, and guiding ventures from ideation to growth. He is passionate about creating impact through technology, developing sustainable ecosystems, and supporting founders on their journey through in-depth technical and industry knowledge and expertise and access to a global network of venture capitalists and angel investors to attract investment, and through partnerships at the highest level within government to aid integration and scale rapidly within local territories.
Tech News
Alteryx Launches AI Insights Agent on Google Cloud Marketplace, Bringing Reliable, Repeatable AI Answers into Gemini Enterprise

Alteryx, Inc., an AI-ready data and analytics company, today announced the launch of the Alteryx AI Insights Agent, now available on Google Cloud Marketplace, bringing governed analytics directly into Gemini Enterprise. As companies increasingly turn to AI to drive decisions, a critical gap has emerged between speed and trust. While generative AI is reshaping how work gets done, most approaches still fall short in enterprise environments where accuracy, governance, and control are essential. AI-generated responses are often inconsistent with business metrics, difficult to validate, and not aligned with how organisations actually operate. Nearly half of leaders cite high-quality, accessible, and well-governed data as the top factor for agentic AI to reach its full potential, underscoring the gap between AI capability and enterprise readiness.
“At the core of enterprise AI is trust,” said Ben Canning, Chief Product Officer at Alteryx. “When it comes to decisions like pricing, operations, or compliance, accuracy isn’t optional. AI doesn’t just need data — it needs to understand how the business actually works. That means applying defined logic, rules, and context that the people closest to the work understand and continuously evolve. With the AI Insights Agent, we’re bringing that logic directly into Gemini Enterprise, so every answer is consistent, explainable, and ready to drive action.”
The Alteryx AI Insights Agent allows information workers to define governed datasets and business logic within Alteryx One that are executed in response to user queries in Gemini Enterprise. Instead of generating answers from raw or unstructured data, the agent leverages in-place analytics to run predefined workflows directly on data platforms such as BigQuery, ensuring outputs align with business metrics without the need for data movement or manual effort.
With the Alteryx AI Insights Agent, organizations can:
- Deliver trusted insights at scale: Consistent answers grounded in enterprise data
- Enable seamless user experience: Information workers to access insights directly within Gemini Enterprise
- Encode analyst-driven control: With business logic, definitions, and guardrails into every interaction
- Maintain enterprise governance: Including auditability, predictability, and control across AI-driven decision-making
“Bringing AI Insights Agent to Google Cloud Marketplace will help customers quickly deploy, manage, and grow the agent on Google Cloud’s trusted, global infrastructure,” said Dai Vu, Managing Director, Marketplace & ISV GTM Programs at Google Cloud. “Alteryx can now securely scale and support customers on their digital transformation journeys.”
The Alteryx AI Insights Agent delivers faster, more trusted answers within the tools employees love to use. For business analysts and operations teams, it extends the value of their Alteryx investments into AI-driven experiences for everyday decision-making. For IT and data leaders, it provides a path to accelerate AI adoption without compromising trust.
This release builds on Alteryx’s expanding collaboration with Google Cloud, following the introduction of in-place analytics on BigQuery earlier this year. With the addition of the AI Insights Agent for Gemini Enterprise, Alteryx is extending its platform from governed data and workflows into AI-driven environments, with further innovations—including the new Alteryx One: Google Edition, planned for later this year.
Tech Features
REVOLUTIONIZING EARTH OBSERVATION WITH GEOSPATIAL FOUNDATION MODELS ON AWS

By Chris Erasmus, Country General Manager, AWS United Arab Emirates & RoMENA
For years, Earth observation workflows required building specialized models for every task — a labor-intensive process that presented significant scaling challenges. Transformer-based vision models are rewriting the rules of planetary monitoring.
Geospatial foundation models (GeoFMs) — including Clay, Prithvi-100M, SatMAE, AlphaEarth, OlmoEarth and SatVision-Base — transform this paradigm through self-supervised learning, pre-training on massive unlabeled datasets to master the fundamental patterns, textures, and spatial relationships embedded in geospatial data. The result? Models that understand what “Earth” looks like can be fine-tuned for specific applications using a fraction of the data and time previously required.
Amazon Web Services (AWS) provides the specialized infrastructure necessary to handle the unique demands of GeoFMs. These transformer-based vision models offer a new way to map the earth’s surface at continental scale.
The Shift to Foundation Models
Historically, analyzing satellite imagery required supervised learning, where experts manually labeled thousands of images to teach a model to identify specific features. This approach is often brittle, as models trained on one geographic area frequently fail when applied to another.
GeoFMs leverage masked autoencoders (MAE) to pre-train on unlabeled geospatial data sampled globally. This self-supervised approach ensures diverse ecosystems and surface types are represented, creating general-purpose models that understand Earth’s fundamental patterns without requiring extensive labeled datasets for every new application.
Scaling Earth Observation with AWS
AWS is designed to provide specialized infrastructure to handle the unique demands of GeoFMs, which involve massive file sizes and complex coordinate systems. Data at Scale: Through the Registry of Open Data on AWS, users access petabytes of imagery (like Sentinel-2) without moving it. This “data-gravity” approach minimizes latency and egress costs. Purpose-Built Tooling: Amazon SageMaker offers integrated environments to build, train, and deploy these models. SageMaker AI Pipelines supports the automated “chipping” of raw imagery into manageable 256×256 pixel segments for analysis. Compute Power: Training GeoFMs requires intense GPU resources. AWS GPU instances are designed to provide distributed computing capabilities to process global-scale datasets efficiently.
Core Use Cases for Planetary Intelligence
The integration of GeoFMs on AWS supports three core capabilities:
- Geospatial Similarity Search: GeoFMs convert imagery into high-dimensional vector embeddings. This allows for “image-to-image” searching where a user can select a reference area—such as a specific crop type or an area of urban sprawl—and instantly find similar patterns across vast territories.
- Embedding-Based Change Detection: By analyzing a time series of embeddings for a specific region, analysts can pinpoint exactly when and where surface disruptions occur, such as identifying early signs of forest degradation before they expand into large-scale clearing.
- Custom Machine Learning: Organizations can fine-tune a lightweight “head” on top of the GeoFMs. This allows for high-accuracy tasks like semantic segmentation (classifying every pixel in an image) with significantly less training data than traditional models.
Real-World Impact
The practical application of these models is already driving innovation. In the Amazon rainforest, researchers are using the Clay foundation model on AWS to detect subtle signatures of selective logging and new access roads. This early detection allows environmental protection agencies to deploy resources precisely to prevent major forest loss.
The solution is highly adaptable; while current examples focus on the Amazon, the same pipeline architecture works seamlessly with various satellite providers and resolutions to address challenges across industries like agriculture, insurance, energy and utilities, disaster response, and urban planning.
The Future of Earth Observation
While geospatial data pipelines remain essential, GeoFMs on AWS dramatically reduce the burden through shorter training cycles with fine-tuning or zero-training approaches like embedding-based similarity search. This enables organizations to focus on solving pressing environmental and economic challenges. The technology is ready. The question now is how quickly organizations will adopt these tools to address these challenges that demand immediate action.
Tech Interviews
From Entertainment to Edutainment: The IdeaCrate Approach
Shifa Yusuff Ali, Founder & CEO, IdeaCrate Edutainment Company
The children’s play centre industry has traditionally focused on entertainment. What made you believe the model needed to evolve?
The shift to thoughtful play has been gradual, but it’s now more evident than ever. Families today are far more intentional about how and where they spend their time. Parents are not just looking for somewhere to take their children on a weekend. They want tobe reassured that the experience is meaningful, supports their child’s development, and adds value to their time together as a family.
Research has proven that children learn most effectively through play, but not all play delivers at the same value. There is a real difference between passive, unstructured time and play that is designed to build motor skills, social confidence, and creative thinking. The industry has largely treated play as a generic offering, while we saw an opportunity to treat it as a discipline, rooted in child development and intentional design.
The commercial dimension is also that in a maturing market, the concepts that endure are those that give families a genuine reason to return—not just because they are convenient, but because the experience is consistently valuable.
Purpose-driven play is better for children, and it is a stronger business model.
You often speak about creating environments that work for both children and parents. How important is experience design in building modern family spaces?
It is central to everything we do. I have always believed that family spaces should serve the whole family, not just the child. Too often, the parent experience is an afterthought. But when you design with both in mind, the entire dynamic changes.
I have always wanted to build a business that is close to the community it serves. Parenting can be overwhelming at times, and it was important to me to create spaces where both parents and children feel supported, welcome, and connected. At Orange Wheels, for example, parents are not spectators. The activities are designed so families can participate together. That shared experience is what turns a visit into something families genuinely value.
Good experience design also extends well beyond the physical space. It is the journey from the moment a family discovers us online, through the booking process, the arrival, the time spent inside, and the follow-up afterward.
Every touchpoint either builds trust or erodes it. We think carefully about all of them.
Many industries are moving toward experience-led models. How do you approach designing environments that are both educational and engaging?
When we think about designing our spaces, we always start with the question: what do we want the family to feel and take away from this experience? That is what keeps the balance between educational value and genuine engagement.
Our approach starts with developmental outcomes. What do we want a child to gain from this experience? Is it fine motor skills, social interaction, creative expression, or problem-solving? We work backward from those outcomes to design activities that deliver them through play. The child experiences fun. The parent sees growth. Both leave satisfied.
We also invest heavily in the sensory and spatial design of our environments. Colour, lighting, sound levels, and material choices are not just aesthetic decisions; they are developmental ones. Overstimulation is the enemy of focused play. Our spaces are deliberately calmer, more intentional, and more thoughtfully curated than what you typically see in this category.
It requires constant iteration. We observe how children and families interact with our spaces, we gather feedback, and we refine. Design is never finished. It is a living process.
Technology is increasingly shaping how families interact with these spaces. How are digital tools helping enhance the experience?
Children today are already exposed to high levels of digital stimulation, and that shapes how they engage with the world around them. As a result, we are very deliberate about how technology features in our spaces.
For parents, technology plays a clear role in simplifying the journey—whether through booking systems, communication, or feedback loops. It allows the experience to feel more seamless and predictable.
For children, the approach is more measured. The intention is not to replicate screen-based engagement inside a physical environment, but to support interaction in a way that enhances the experience without overwhelming it.
We are also building capabilities that help parents better understand how their child engaged during a visit, including the types of activities and developmental areas explored.That is meaningful technology. It adds value without replacing human interaction.
Our position is clear: technology should enhance the experience, not become the experience. Children need tactile, physical, human-led play. That is non-negotiable for us.
From a business perspective, what have been the biggest operational challenges in scaling physical experience-driven businesses?
The biggest challenge is maintaining experience quality as you grow. In a product business, you can standardise production. In an experience business, you are always relying on people, environments, and interactions, and those are inherently harder to scale consistently.
Our play facilitators are central to what makes our spaces work. They are not just supervising children; they are guiding play, engaging families, and creating moments. Recruiting, training, and retaining the right talent remains most significant investment. You cannot scale culture from a document.
Real estate is another constraint. Our experiences require specific spatial conditions—layout, flow, and ceiling height—that are not always easy to accommodate within standard retail formats.
Scaling successfully requires discipline in both operations and decision-making.
With plans to expand regionally and globally, what does scaling an experience-based brand require?
It requires being very clear about what is non-negotiable and what can flex. For us, the philosophy is non-negotiable: purposeful play, family-centric design, and developmental intent. Those principles travel across markets. But how they are expressed might look different depending on the region and its culture.
Operationally, scaling requires robust systems. We are investing in standardised training programmes, operational playbooks, and quality frameworks that allow us to onboard new locations without diluting the experience.
But systems alone are not enough. It needs to be underpinned by strong local leadership that understands both the brand, customer and the market.
Ultimately, scaling an experience brand is slower than scaling a product brand. And I am comfortable with that. Growing too fast at the expense of experience quality would undermine the very thing that makes IdeaCrate valuable.
With so many indoor play options available, how does IdeaCrate differentiate itself?
Three things set us apart.
First, intent. Everything in our spaces exists for a reason. We do not add attractions because they are trendy or because competitors have them. Every activity, every design choice, every programme is rooted in a developmental purpose. That level of intentionality is rare in this industry.
Secondly, the family experience. We do not just design for children. We design for families. That means parents are part of the experience, not on its sidelines. It means our spaces feel welcoming for adults, not just tolerable. And it means the overall visit is something families genuinely look forward to, together.
Third, our multi-brand approach. Orange Wheels, Orange Seeds, and Orange Hub each serve a different need and age group, but they are connected by a shared philosophy. A family can grow with us, from their child’s earliest years in a nursery environment through to more social, high-energy experiences as they get older. That continuity is something no single-concept competitor can offer.
Beyond that, the difference is often felt rather than seen.
It is the culture we have built: the way our team interacts with families, the warmth of the environment, the feeling you get when you walk through the door. That is what keeps families coming back.
Looking ahead, how do you see the edutainment industry evolving?
The edutainment market is projected to reach over nine billion dollars globally by 2031, and the Middle East is one of its fastest-growing regions. That growth is a clear signal: families are willing to invest in experiences that go beyond pure entertainment.
I expect the next few years to bring greater sophistication to how education and entertainment are combined. The early movers in this space are proving that parents will pay a premium for quality, purpose-driven experiences. That will attract more investment and raise the bar for the entire industry.
I also think community will become more central to how these spaces operate. The best family spaces will not just be places you visit; they will be places you belong to. We are already seeing this in our own business, where families build relationships with our team and with each other. That sense of belonging creates loyalty that no discount or promotion can match.
At the same time, I think the industry will move toward more thoughtful, right-sized concepts. Large-format entertainment centres with high capital costs and short refresh cycles are a challenging model. The future favours concepts that prioritise experience depth over scale.
For IdeaCrate, the direction is clear: continue to lead with purpose, invest in our people and our design, and build a brand that families trust.
What inspired the creation of IdeaCrate, and how has your vision evolved?
The idea behind IdeaCrate goes back about ten years, to a moment that many parents will recognise. I was looking for a space to take my children where the experience felt genuinely enriching, not just entertaining. That search made me realise there was a real gap in the market for family spaces that combined quality, purpose, and warmth.
I wanted to build something that sat at the intersection of education and entertainment, where play is designed with developmental intent and where families feel they belong. That conviction became the foundation of IdeaCrate: the belief that children deserve play experiences that are thoughtfully designed, and that parents deserve to be part of that journey.
The vision has evolved considerably since those early days. What started as a single concept has grown into three distinct brands: Orange Wheels, a premium indoor play concept focused on purposeful play and family connection; Orange Seeds, a Montessori-inspired nursery rooted in emotional wellbeing and early development; and Orange Hub, a social, high-energy space for older children and group experiences.
Each serves a different need, but all are built on the same philosophy. We have also become much more deliberate about end-to-end experience design, thinking beyond what happens inside the space to how families feel at every stage of their interaction with us.
As we have grown, the focus has shifted toward maintaining that intent at scale—ensuring that the experience remains consistent across locations. The goal now is to set new standards for what family spaces can be, starting in the UAE and expanding across the world.
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