Product launches, tech deep dives, and media coverage.
If we want the next generation of AI to be both genuinely innovative and genuinely inclusive, we need more of us in the room where it is made, and we need more collaboration to get us there.
Myndlab Co-Founder and CTO Bindesh Vijayan is positioning the company around what he calls the next phase of vibe coding: a shift from AI-generated code as an end product to AI-generated code as a starting point that non-technical builders then shape, refine, and own. The argument is that the bottleneck is moving. Generating a working application from a natural-language prompt is increasingly tractable; the harder problem is giving everyday product builders meaningful control over what AI produces. Myndlab’s platform approach targets that gap with visual refinement and iteration tooling designed for users who lack traditional development backgrounds.
OpenAI is expanding Codex. AI coding startup Cognition recently raised $1 billion at a reported $25 billion valuation. New AI-powered development tools are emerging almost weekly, fuelling predictions that software engineering may be one of the first professions disrupted by artificial intelligence. Yet despite those predictions, many of the companies building these tools continue to hire developers at scale.
The technology industry has found a new proxy contest: whether OpenAI or Anthropic will become the first major AI company to reach the public markets. The story has acquired the familiar rhythm of a platform race: whoever arrives first is assumed to define the category. But being first to list is not the same as being best positioned to capture the market. An IPO is a financing event, not a verdict on who will ultimately win AI. It may crystallize a narrative, attract a new class of shareholders, and provide the first detailed look at the economics of the industry’s leading laboratories. But it will not determine where long-term value ultimately accrues.
I’ve spent more than two decades building software, and one thing has become increasingly clear to me: while technology continues to evolve, the conversations surrounding it rarely do. I’ve watched that happen during the rise of enterprise software, again during the shift to cloud computing while I was at Microsoft, and now with artificial intelligence. Each new wave brings the same prediction: this changes everything. Developers become obsolete. Software will build itself. One of the defining moments in my career came when I joined Microsoft and had the opportunity to participate in the beta testing of what would eventually become Microsoft Azure. At the time, cloud computing was still a relatively new concept for many organisations, and there were countless predictions about how it would reshape software development. Many of those predictions were right. Cloud fundamentally changed how we build, deploy, and scale software. But it didn’t change why we build software in the first place.
AI Appreciation Day took place yesterday, inviting people to celebrate a technology that exists in our everyday lives. The annual event says it is dedicated to the humane treatment, thoughtful development and conscious celebration of AI. The event leaves many people asking if the public should appreciate AI or spend more time learning how it works. Many digital tools have become essential over the years, but very few have their own appreciation day. There are appreciation days for teachers, nurses and volunteers. There is no Startup Appreciation Day or Spreadsheet Appreciation Day or Search Engine Appreciation Day – AI has become one of the few technologies with its own annual celebration.
Much of the conversation surrounding artificial intelligence has centered on replacement. Will AI replace developers? Will engineering teams become smaller? Will software eventually build itself? They are questions worth asking, but they are also beginning to distract from the bigger transformation taking place. Every major technology shift changes two things. It changes how work gets done and who gets to participate. Cloud computing removed the need for businesses to invest heavily in infrastructure before launching digital products. Open-source software made powerful technologies accessible to developers around the world.
Speculation around potential IPOs from OpenAI and Anthropic has reignited debate about who will ultimately capture the most value in the AI industry. Bindesh Vijayan, Co-founder and CTO of Myndlab and a former Microsoft engineer, argues that framing this as a race between frontier model providers misses a more consequential shift: value in AI may be migrating away from the model layer entirely, toward the companies building applications, workflows, and integrations on top of it. His central contention is that public markets will force a reckoning, demanding evidence of adoption, revenue durability, and customer retention rather than benchmark performance.
Everyone is focused on whether OpenAI or Anthropic reaches the public markets first, but that assumes the future of AI will be decided by model providers. Whether that’s the right assumption is up for debate. If you look at how enterprise technology markets typically evolve, the companies that create the most value are not always the ones building the underlying technology. They’re often the ones who make that technology usable, accessible, and embedded in everyday workflows. Most businesses don’t buy AI because they want access to a model. They buy AI because they want to solve a problem. An IPO could be an important milestone for OpenAI or Anthropic, but it may also mark the point where the industry starts asking a different question. Not who has the smartest model, but who is actually capturing the value created by AI. Those may not end up being the same companies.
There is a line that gets repeated at every tech conference in Dubai, in every government briefing, and across most pitch decks: the UAE is building the future. Artificial intelligence is projected to contribute $96 billion to the UAE’s GDP by 2031, according to PwC and corroborated by the UAE’s own National AI Strategy. The country has invested AED 543 billion in AI since 2024 alone, as confirmed by Omar Sultan Al Olama, the UAE’s Minister of State for Artificial Intelligence. And according to Microsoft’s AI Diffusion Report for Q1 2026, the UAE has become the first country in the world to cross the 70 percent threshold for AI tool adoption among its working-age population.
Myndlab is a full-stack AI application generator. That phrase carries more weight than it might initially suggest. When you describe your idea to Myndlab, the platform won’t just generate a front-end component and leave the rest to you. It generates the entire application, front-end, back-end, and database, as a structured, coherent, production-ready system. Every layer of the stack is accounted for. Every component is designed to work with every other component. Critically, the output is containerised. This is the detail that changes everything for developers and enterprises alike.
Dubai's Permus Software House launched Myndlab, the region's first native Arabic AI application builder, empowering GCC founders, developers, and SMEs. This tool enables rapid development of enterprise-ready apps and websites.
Engineered in the UAE and built for developers, product teams, founders, and SMEs, Myndlab empowers builders to generate production-grade code for enterprise-ready apps, websites, and dashboards. The platform supports Arabic and English prompting and is fully GCC-compliant for data security. Unlike many AI tools that focus on early-stage prototypes, Myndlab is built for real-world use, allowing teams to choose their own tech stacks and build applications that can be deployed, adapted, and scaled.
Myndlab is a full-stack AI application generator: a platform that transforms an idea, stated in natural language, into a scalable, containerised, production-ready application. Not a prototype. Not a mockup. Not an MVP. A real, deployable product, built on modern technology stacks, ready for the world from day one.
Permus Software House has officially launched the beta version of Myndlab, a new UAE-developed platform designed to help users build fully functional applications using artificial intelligence and natural language prompts. Headquartered in Dubai International Financial Centre, Permus says Myndlab is the GCC’s first native Arabic AI application builder, created specifically for Arabic-first environments and regional business needs. Unlike many AI coding platforms that focus primarily on prototypes or simple mockups, Myndlab is designed to generate production-ready apps, websites, dashboards, and enterprise tools that can actually be deployed and scaled in real-world environments.
من قلب مركز دبي المالي العالمي، وبأيدٍ إماراتية طموحة، أعلنت شركة "بيرموس للبرمجيات" عن ولادة منصة "مايندلاب (Myndlab)"، أول منصة من نوعها في منطقة الخليج مخصصة لبناء تطبيقات الذكاء الاصطناعي باستخدام اللغة العربية. إنها الخطوة التي انتظرها المطورون ورواد الأعمال طويلاً لسد الفجوة الرقمية والتحكم في تكنولوجيا المستقبل بلغتهم الأم.
Permus Software House, a software development company and venture builder headquartered in DIFC, announced the beta launch of Myndlab, the region’s first native Arabic AI application builder. Developed with the GCC market at its core, the platform addresses the lack of locally built tools that support real-world deployment in Arabic-first environments. Engineered in the UAE and built for developers, product teams, founders, and SMEs, Myndlab empowers builders to generate production-grade code for enterprise-ready apps, websites, and dashboards. The platform supports Arabic and English prompting and is fully GCC-compliant for data security. Unlike many AI tools that focus on early-stage prototypes, Myndlab is built for real-world use, allowing teams to choose their own tech stacks and build applications that can be deployed, adapted, and scaled.
أطلقت شركة بيرموس للبرمجيات، في مركز دبي المالي العالمي، النسخة التجريبية من منصة "Myndlab"، التي تُعد أول منصة من نوعها في منطقة دول مجلس التعاون الخليجي لإنشاء تطبيقات الذكاء الاصطناعي باللغة العربية، في خطوة تهدف إلى سد الفجوة في أدوات التطوير المحلية وتعزيز الابتكار الرقمي في بيئات تعتمد على اللغة العربية.
UAE-based Permus Software House has launched Myndlab, described as the region’s first native Arabic AI application builder, as demand grows for locally relevant artificial intelligence platforms tailored to Arabic-language enterprise and government environments.
أعلنت اليوم شركة بيرموس للبرمجيات، وهي شركة لتطوير البرمجيات وتأسيس المشاريع يقع مقرها الرئيسي في مركز دبي المالي العالمي، عن إطلاق النسخة التجريبية من منصة Myndlab، وهي أول منصة لإنشاء تطبيقات الذكاء الاصطناعي باللغة العربية في المنطقة. وهذه المنصة مخصصة لتلبية احتياجات سوق دول مجلس التعاون الخليجي، وتعويض النقص في إنشاء أدوات محلية تدعم الاستخدام الفعّال في العالم الحقيقي في بيئات تعتمد على اللغة العربية بشكل أساسي.
Engineered in the UAE and built for developers, product teams, founders, and SMEs, Myndlab empowers builders to generate production-grade code for enterprise-ready apps, websites, and dashboards. The platform supports Arabic and English prompting and is fully GCC-compliant for data security. Unlike many AI tools that focus on early-stage prototypes, Myndlab is built for real-world use, allowing teams to choose their own tech stacks and build applications that can be deployed, adapted, and scaled.
Dubai-based software development company and venture builder Permus Software House has launched Myndlab in open beta, announced as the region’s first native Arabic AI application builder. Built at its core for Arabic-first environments, the platform allows users to generate complete, production-grade, enterprise-ready applications, websites and dashboards from a single prompt in Arabic or English. Unlike many AI application builders that produce early-stage prototypes requiring significant further development, Myndlab outputs fully deployable, containerised code with secure architecture and reusable patterns. The new platform gives founders, developers, product teams and SMEs the ability to launch, adapt and scale without rebuilding from scratch.
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