ENEC launches ENECIQ, a new AI platform for faster insights and decision-making

Honoured to be featured in the #BBC this week discussing one of the most urgent questions in AI today: how do we sustainably power the next wave of artificial intelligence? As AI demand surges, tech giants are looking toward nuclear energy as a stable, carbon-free source to power massive data centres. While nuclear can play a role, it’s clear the energy challenge won’t be solved by one technology alone — it requires a balanced, multi-source strategy and smarter, more efficient AI models. At Sensiwise AI, our focus remains on helping organisations become AI-ready, not just technologically, but strategically and sustainably. Through our #SAIRA framework, we assess readiness across strategy, governance, data, and people, ensuring businesses adopt AI responsibly and with long-term resilience in mind. Source BBC: https://lnkd.in/e4S_BDGH Thank you to Mike W. and the BBC team for covering this critical story and including my perspective.

At the 6th India Nuclear Business Platform (#INBP) 2025 🇮🇳, Alessio Iuvara, Founder & CEO of CAELUS , discussed how Artificial Intelligence (AI) can transform regulatory and licensing processes in the nuclear sector. By leveraging AI, organizations can accelerate approvals, improve accuracy, and enhance compliance, addressing one of the key bottlenecks in nuclear project deployment. Beyond efficiency, AI also enables better risk assessment and decision-making, fostering greater confidence among regulators, investors, and industry stakeholders. These advancements highlight how technology-driven approaches can complement policy and industry efforts, paving the way for faster, safer, and more transparent nuclear energy growth in India. 👉 https://lnkd.in/gQPBgyYt #NuclearEnergy #INBP #India #AI #Innovation #Compliance #Licensing #Regulation #CleanEnergy #Power #Investment

The Regulatory Innovation Office's AI Capability Fund is unlocking up to £3.6 million to support bold, experimental AI projects across UK regulators. At Ofgem, we’re developing an AI-powered tool to accelerate the delivery of up to £30 billion in funding for critical national infrastructure. By streamlining, we’re enabling faster innovation in our energy systems which is helping the UK transition to a smarter, greener future. Meanwhile, the Office for Nuclear Regulation is pioneering a regulatory sandbox to safely explore AI deployment in nuclear installations. #AI #Innovation #EnergyTransition #Regulation #Ofgem #Infrastructure #DigitalTransformation

In nuclear, bigger isn’t always better. People love to open up their AI models and compare the size of their parameters. It sounds impressive—until you ask what it actually does. Accuracy isn’t optional and explainability isn’t a luxury. A model that can’t show its sources isn’t “smart.” It’s unreviewable. That’s why Everstar starts with retrieval, not retraining. Our platform, Gordian, pulls directly from curated, version-controlled nuclear requirements, guidance, and precedent, not a frozen copy of them buried in model weights. Every output shows its work, line by line, so you can see exactly where each statement came from. This isn’t just about transparency. It’s about speed and credibility. You can’t send a hallucination to the NRC. As foundation models keep getting better, Gordian automatically improves, without retraining, re-approvals, or security risk. We’ll train small, task-specific models when it adds measurable value. But the foundation stays the same: retrieval that holds up under scrutiny. Believable, traceable, and built to stand up in front of a regulator. That’s how AI becomes nuclear-ready. Read the whole story in Chief Nuclear Officer Theresa Clark's blog post. 👉 https://lnkd.in/egC_ibPy #NuclearEnergy #Nuclear #ArtificialIntelligence #AI #EnergyInnovation #CleanEnergy #EnergyTransition #Innovation Kevin Kong Christine Wallace Matt Huang

Microsoft and the U.S. National Lab are collaborating to apply AI in nuclear power permitting — one of the most rigorous and time-intensive processes in energy development. The move reflects a larger shift: infrastructure projects are under pressure to move faster, and AI is being tested as a way to reduce friction without losing rigor. For operators and decision-makers, this opens up important questions: Where can AI meaningfully reduce bottlenecks in your own process? How do you maintain accountability and transparency as tools get more complex? And what does responsible acceleration look like when the stakes are high? Here’s the full article: https://lnkd.in/gYzndyT4 Where are you seeing AI make a practical difference today — or is it still on the sidelines in your world?

X energy - Advanced Nuclear and AI: Powering the Future The unprecedented growth of artificial intelligence represents both a technological revolution and an energy challenge of historic proportions. AI has transformed everyday life in just a few short years. But as the computing needs of AI increase exponentially, so too does the energy required to power the data centers that are the backbone of this new technology. Traditional power solutions are struggling to keep pace with AI's need for reliable, continuous energy. In this new era of power demand, hyperscalers like Amazon are turning to nuclear to meet the moment. https://lnkd.in/gV4vwcw2

AI Boom or Bubble? 🚀 Is the tech sector's race into AI and nuclear energy a real revolution or just another bubble in the making? Our latest article explores a leading economist's warning as major firms double down on nuclear power for AI's insatiable energy needs. Are we witnessing sustainable innovation or risky speculation? Read the analysis and join the debate: Do you think the AI surge is built on solid ground? ➡️ https://lnkd.in/dywG2dRB #AIEconomy #TechTrends @alienminds @OpenAI @Google @Microsoft @Bloomberg

The Emirates Nuclear Energy Company (ENEC Operations) has partnered with Presight, an Abu Dhabi-based AI and data analytics firm, to develop a bespoke artificial intelligence platform named Eneciq. Designed to streamline ENEC's corporate functions and enhance efficiency, Eneciq is a step forward in integrating digital intelligence within critical national infrastructure, as highlighted by ENEC CEO Mohamed Al Hammadi and Presight CEO Thomas Pramotedham. ✅ Eneciq is customised for ENEC, providing context-aware answers and automating routine tasks. ✅ It operates within ENEC’s secure cloud environment, separately from nuclear reactor operations. ✅ The platform aims to increase safety and efficiency in ENEC’s operations. ✅ This initiative reflects the UAE’s broader ambition to incorporate advanced technologies across sectors. #Innovation #ArtificialIntelligence #EnergySector #UAE #DigitalTransformation #Arageek

𝗙𝗿𝗼𝗺 𝗻𝘂𝗰𝗹𝗲𝗮𝗿 𝘁𝗲𝘀𝘁𝗶𝗻𝗴 𝗺𝗼𝗿𝗮𝘁𝗼𝗿𝗶𝘂𝗺𝘀 𝘁𝗼 𝗔𝗜 𝘀𝗮𝗳𝗲𝘁𝘆 𝘁𝗵𝗿𝗲𝘀𝗵𝗼𝗹𝗱𝘀 ... Over 33 years ago, the US conducted its final nuclear test - transitioning to a science-based Stockpile Stewardship Program that maintains civilization-ending arsenals through simulations alone, never testing them again. New AI safety research has found frontier models achieving 70% performance on complex software engineering tasks and demonstrating potential for weaponised capabilities - prompting developers to deploy unprecedented safety controls not because they've definitively crossed danger thresholds, but because they cannot rule out crossing them. Whilst nuclear warheads and AI systems are very different - one frozen-in-time physics, the other evolving from under 10% to 70% capability in less than two years - we can draw interesting parallels with regard to governing powerful technologies through computational assessment rather than direct testing when the risks of empirical validation become unacceptable. 𝘞𝘪𝘭𝘭 𝘺𝘰𝘶𝘳 𝘰𝘳𝘨𝘢𝘯𝘪𝘴𝘢𝘵𝘪𝘰𝘯 𝘸𝘢𝘪𝘵 𝘧𝘰𝘳 𝘦𝘷𝘪𝘥𝘦𝘯𝘤𝘦 𝘰𝘧 𝘢𝘤𝘵𝘶𝘢𝘭 𝘩𝘢𝘳𝘮 𝘣𝘦𝘧𝘰𝘳𝘦 𝘪𝘮𝘱𝘭𝘦𝘮𝘦𝘯𝘵𝘪𝘯𝘨 𝘦𝘯𝘩𝘢𝘯𝘤𝘦𝘥 𝘈𝘐 𝘤𝘰𝘯𝘵𝘳𝘰𝘭𝘴 𝘰𝘳 𝘵𝘳𝘪𝘨𝘨𝘦𝘳 𝘴𝘢𝘧𝘦𝘨𝘶𝘢𝘳𝘥𝘴 𝘸𝘩𝘦𝘯 𝘤𝘢𝘱𝘢𝘣𝘪𝘭𝘪𝘵𝘺 𝘵𝘩𝘳𝘦𝘴𝘩𝘰𝘭𝘥𝘴 𝘢𝘳𝘦 𝘳𝘦𝘢𝘤𝘩𝘦𝘥? #AI #AISafety #AISecurity #AISovereignty #AIGovernance #ResponsibleAI #TrustworthyAI

Idaho National Lab is using generative AI on Microsoft Azure to simplify one of the toughest challenges in nuclear energy: reactor permitting. By automating complex safety and engineering reports, they could cut review times by 30–50%. That means faster approvals, lower costs, and a clearer path to scaling nuclear energy for a sustainable future. This isn’t just about tech—it’s about accelerating innovation in critical infrastructure. TLDR: AI + Nuclear Energy = Faster Clean Power ⚛️💡 Read more, below. Message me directly if you'd like to learn more! #AI #CleanEnergy #Innovation #ArtificialIntelligence #Sustainability #EnergyTech #FutureOfEnergy #MicrosoftAzure https://lnkd.in/gMDn3xpC