{
  "version": 3,
  "sources": ["ssg:https://framerusercontent.com/modules/DqcLLl5ItZ0wikvQBBid/WTDS6rbt2yZ5OZeHxq7C/vKiCb7WU6-4.js"],
  "sourcesContent": ["import{jsx as e,jsxs as i}from\"react/jsx-runtime\";import{ComponentPresetsConsumer as t,Link as n}from\"framer\";import{motion as a}from\"framer-motion\";import*as r from\"react\";import{Youtube as o}from\"https://framerusercontent.com/modules/NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js\";export const richText=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:'In 2013, when the concept of \"smart buildings\" was still in its infancy, Professor Yacine Rezgui, Nick Tune and a team of forward-thinking scientists gathered through the BRE Centre at Cardiff University to address a critical question:\\xa0\\xa0'}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"What technologies and methodologies would be needed to create truly net zero buildings?\"}),\"\\xa0\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"This question became the foundation for OptimiseAI, and to pushing the boundaries of intelligent building systems.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"A decade later, that same visionary approach continues to drive our work as Professor Rezgui now leads AntifragiCity\u2014a groundbreaking \u20AC4 million research initiative funded by the European Union's Horizon Europe programme.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Beyond Resilience: The Concept of Antifragility\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"The AntifragiCity project introduces a revolutionary concept to urban planning and development. While resilience focuses on a system's ability to recover from disruption, antifragility describes systems that actually improve and grow stronger when faced with volatility and stress.\\xa0\"}),/*#__PURE__*/e(\"blockquote\",{children:/*#__PURE__*/e(\"p\",{children:'\"In the wake of the COVID-19 pandemic, the energy crisis, and ongoing conflicts in Europe, cities are facing unprecedented challenges,\" explains Professor Rezgui. \"AntifragiCity is about harnessing these disruptions as catalysts for positive change, building urban systems that adapt, learn, and emerge stronger.\"\\xa0'})}),/*#__PURE__*/e(\"p\",{children:\"This innovative approach represents the next evolution in smart city technology\u2014moving beyond reactive measures to create proactive urban environments that continuously evolve and improve through challenges.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Global Collaboration for Urban Intelligence\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"The scale and scope of the AntifragiCity project reflect OptimiseAI's commitment to collaborative innovation, especially with and through University and City Institutions.\\xa0\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"The project brings together 13 partners from seven countries, including the Municipality of Odessa in Ukraine, ETH Zurich, Aristotle University of Thessaloniki, and the Luxembourg Institute of Socio-Economic Research.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"This diverse consortium ensures that the project benefits from a wide range of perspectives and expertise, addressing the complex challenges of urban development through a multidisciplinary lens.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Technology Meets Human Experience\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"A distinguishing feature of the AntifragiCity approach is the integration of technological solutions with social considerations. The project views transportation systems not merely as infrastructure but as dynamic networks deeply embedded in social and environmental contexts.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:'\"By integrating technology with local knowledge and citizen participation, we aim to pave the way to sustainable cities that are not only resilient but truly antifragile,\" says Professor Rezgui.\\xa0'}),/*#__PURE__*/e(\"p\",{children:\"This socio-technical approach ensures that urban transformations are co-designed with the people they impact most, creating solutions that are both technologically advanced and humanly relevant.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-World Implementation\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Theory becomes practice as the AntifragiCity methodologies will be applied in pilot programs across three European cities:\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Odessa, Ukraine\"}),\": Testing antifragile principles in a city facing immediate geopolitical challenges\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Bratislava, Slovakia\"}),\": Exploring sustainable mobility solutions in a rapidly developing urban center\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Larissa, Greece\"}),\": Implementing adaptive systems in a Mediterranean climate context\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"These pilot programs will serve as living laboratories, helping to refine the antifragility methodology and support knowledge-sharing across European cities.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Looking Ahead: The Future of Built Environments\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"The AntifragiCity project represents Professor Yacine Rezgui\u2019s ongoing commitment to creating intelligent, sustainable, and adaptive built environments. Optimise AI will additionally provide some AI technology solutions. This reflects OptimiseAI\u2019s desire for net zero buildings and our desire to pioneer approaches that anticipate future challenges and opportunities.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"As cities worldwide face increasing pressures from climate change, population growth, resource constraints, and unexpected crises, the methodologies developed through AntifragiCity will provide valuable frameworks for urban areas seeking not just to survive these challenges, but to thrive because of them.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"The outcomes of this groundbreaking project are expected to influence city planning policy across Europe and beyond, offering scalable strategies for building communities that flourish in times of uncertainty\u2014 while continuing the forward-thinking legacy that has defined OptimiseAI since its inception.\\xa0\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[\"For more information about the AntifragiCity project or OptimiseAI's work in intelligent building systems, please contact \",/*#__PURE__*/e(n,{href:\"mailto:hello@optimise-ai.com\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"hello@optimise-ai.com\"})}),\"\\xa0\\xa0\"]})]});export const richText1=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"Buildings account for \",/*#__PURE__*/e(n,{href:\"https://globalabc.org/sites/default/files/2021-10/GABC_Buildings-GSR-2021_BOOK.pdf\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"28% of global energy-related CO\u2082 emissions\"})}),\" (37% when including construction), which is more than the entire transportation sector. \"]}),/*#__PURE__*/e(\"p\",{children:\"While Building management systems have evolved dramatically\u2014 many asset managers, building managers, sustainability leaders struggle with siloed data, incompatible systems, and the inability to scale solutions to inform energy performance strategies across diverse building portfolios. \"}),/*#__PURE__*/e(\"p\",{children:'What if there was a way to make these systems truly \"understand\" buildings by profiling their energy performance with little data by taking into account the characteristics of their envelope as well as their energy consuming devices, while continuously optimising their overall performance?'}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Challenge: Why Traditional Building Management Falls Short\"})}),/*#__PURE__*/e(\"p\",{children:\"Traditional building management systems operate in isolation. A Schneider system can't easily communicate with a Siemens system. Each building requires bespoke intelligence  whereby control algorithms must be rewritten from scratch for every new property. This approach is:\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Time-consuming and error-prone\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Lacking portability across buildings\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Limited in scalability\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Difficult to audit for security and trustworthiness\"})})]}),/*#__PURE__*/e(\"p\",{children:\"It's like trying to manage a multinational team where each person speaks a different language with no translator available. \"}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"Enter Semantic Digital Twins with a Little Extra Context\"})}),/*#__PURE__*/e(\"p\",{children:'Semantic digital twins represent a fundamental shift in how we approach building intelligence. Just as Web 1.0 evolved to Web 2.0 through the power of semantics (enabling search engines to understand content rather than just display it), semantic modelling creates a framework where building management systems can truly \"understand\" their indoor and outdoor environment, including the variability of occupancy across time, with minimal reliance on sensors and controllers.'}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(t,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:i=>/*#__PURE__*/e(o,{...i,play:\"Loop\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/ks02731MwMs?si=U6885tqaRGwo_11u\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"em\",{children:\"Example: Semantics digital twins developed through bringing data together on the Optimise Platform\"})}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"What Makes Semantics So Special?\"})}),/*#__PURE__*/e(\"p\",{children:\"Semantics provides three key advantages that transform building management:\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"1. True Scalability \"}),'Rather than coding for specific components like \"Door 110 on the ground floor,\" semantic models work with classes like \"door\" in a generic sense. This means algorithms can be applied to any building with minimal readaptation \u2014dramatically accelerating deployment across portfolios.']}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"2. Contextual Intelligence\"}),\" Semantic models create a network of information where relationships between objects are understood. For example, when a hot water tap is turned on, the system understands this will trigger the boiler, affecting energy consumption\u2014even though these components might seem unrelated.\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"3. Explainable AI\"}),\" With semantics, algorithms become transparent and auditable. You can trace exactly which variables feed into algorithms and understand their impact. This creates trust\u2014crucial for sustainability managers who need to validate energy-saving claims.\"]}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"Practical Benefits for Building Managers, Asset Managers and Sustainability Leaders\"})}),/*#__PURE__*/e(\"p\",{children:\"How does this translate to your daily work? Semantic digital twins enable:\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Portfolio-wide deployment: \"}),\"Scale solutions across your entire building portfolio without custom coding for each property\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Deeper insights: \"}),\"Discover unexpected connections between building systems that impact sustainability metrics\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Trustworthy results:\"}),\" Verify exactly how AI recommendations are generated and justify investments to stakeholders\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Future-proofing: \"}),\"As building systems evolve, semantic models adapt without requiring ground-up redevelopment\"]})})]}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"The Decade of Data Advantage\"})}),/*#__PURE__*/e(\"p\",{children:\"The most advanced semantic building solutions, like those pioneered at OptimiseAI, have been developed through years of research across multiple domains. These solutions have been tested and refined through collaborations with organizations like Intel, Schneider, Siemens and many others.\"}),/*#__PURE__*/e(\"div\",{className:\"framer-text-module\",style:{\"--aspect-ratio\":\"560 / 315\",aspectRatio:\"560 / 315\",height:\"auto\",width:\"100%\"},children:/*#__PURE__*/e(t,{componentIdentifier:\"module:NEd4VmDdsxM3StIUbddO/DDzyuYPF56TuI0bfUu2z/YouTube.js:Youtube\",children:i=>/*#__PURE__*/e(o,{...i,play:\"Loop\",shouldMute:!0,thumbnail:\"Medium Quality\",url:\"https://youtu.be/I8xKauC9yGM?si=KPQ6XopH8tKPEH5M\"})})}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"em\",{children:\"Example: Comparing actual building with simulated performance using the Optimise Platform\"})}),/*#__PURE__*/e(\"p\",{children:\"Each research project has contributed unique insights\u2014from district heating systems to smart water management to community energy sharing. This comprehensive approach means today's semantic models are robust enough to handle the full complexity of the built environment.\"}),/*#__PURE__*/e(\"p\",{children:\"Getting Started with Semantic Digital Twins\"}),/*#__PURE__*/e(\"p\",{children:\"If you are looking to employ semantic digital twins for your buildings consider the following:\"}),/*#__PURE__*/i(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Assess your current challenges: \"}),\"Where are your existing building management systems falling short?\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Consider scalability needs: \"}),\"How many buildings do you manage, and how diverse is your portfolio?\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Identify interoperability gaps: \"}),\"Which systems in your buildings need to communicate but currently can't?\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Evaluate your data strategy: \"}),\"How could connected building data transform your sustainability initiatives?\"]})})]}),/*#__PURE__*/e(\"h5\",{children:/*#__PURE__*/e(\"strong\",{children:\"Moving Forward\"})}),/*#__PURE__*/e(\"p\",{children:\"Semantic digital twins represent not just an incremental improvement but a fundamental shift in building intelligence. By enabling systems to understand context, make connections between seemingly unrelated components, and scale across diverse portfolios, they offer those managing building estates, operational costs and sustainability plans powerful new tools to achieve ambitious decarbonisation and cost reduction goals.\"}),/*#__PURE__*/e(\"p\",{children:\"As you evaluate new technologies for your sustainability strategy, consider not just what a solution can do today, but how it can grow and adapt across your entire portfolio tomorrow. The semantic advantage may be the difference between incremental improvements and transformative change.\"}),/*#__PURE__*/e(\"p\",{children:\"________________________________________\"}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(\"em\",{children:\"Ready to explore how semantic digital twins could transform your sustainability initiatives? Connect with our team to learn more about implementation strategies and success stories from organizations similar to yours.\"})}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Email us to find out more \"}),/*#__PURE__*/e(n,{href:\"mailto:hello@optimise-ai.com\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"here\"})})})]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Get started with Predict \"}),/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/predict\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"here\"})})})]})]});export const richText2=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"Energy costs and reducing carbon emissions are critical challenges for non-domestic buildings and those that manage them. With 90% of buildings lacking a building management system and the majority of those with one still missing actionable insights, the barriers to efficiency are significant. Outdated systems, complex tariffs, and dependence on brokers only add to the struggle. That\u2019s why Optimise-AI developed \",/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\"\u2014a cutting-edge solution designed to help businesses take control of their energy strategy and accelerate their decarbonisation efforts.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Why Predict is a Game-Changer for Businesses\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Predict isn\u2019t just another energy management tool. It\u2019s a revolutionary platform designed to simplify decision-making, cut costs, and help businesses meet sustainability goals with ease. Here\u2019s how Predict delivers unmatched value to your organisation:\\xa0\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Cut Costs with Tailored Tariff Options\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Predict\u2019s AI analyses your energy usage patterns\u2014both historical and projected\u2014and identifies the best tariffs for your needs. By tailoring recommendations, it ensures your business gets the most cost-effective deal, every time.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Save Time with Seamless Integration\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"No need for costly audits or hours spent navigating complicated energy systems. Predict connects directly to your meter with a few simple steps, instantly providing actionable insights.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Optimise Your Energy Use in Real-Time\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Predict doesn\u2019t just suggest tariffs\u2014it continuously monitors your building\u2019s energy performance, comparing it against millions of similar properties. It identifies inefficiencies and provides concrete steps to save energy, lower costs, and reduce carbon emissions.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Scale Your Decarbonisation Efforts with Confidence\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Whether you manage a single site or a large portfolio, Predict scales to your needs. Its adaptive AI provides real-time guidance tailored to each building, ensuring decarbonisation is achievable at every level of your operation.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Achieve Sustainability Goals with Ease\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Sustainability doesn\u2019t have to be a headache. Predict makes it simple to cut emissions and contribute to a greener planet while staying in control of your energy costs.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Benefits Are Immediate\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Unlike traditional energy management approaches that are slow, expensive, and inefficient, Predict puts everything you need in one easy-to-use platform. Start saving money, streamlining operations, and reducing your environmental impact\u2014today.\\xa0\"]})})]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"How to Get Started\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Getting started is easy. Simply enter your business address and consent for meter access, and Predict takes care of the rest. No complex setup or steep learning curve\u2014just actionable insights at your fingertips.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"\uD83D\uDC49 \",/*#__PURE__*/e(n,{href:\"https://app.optimise-ai.com/signup\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"Sign up now and start your decarbonisation journey today!\"})})}),\"\\xa0\"]}),/*#__PURE__*/e(n,{href:\"https://app.optimise-ai.com/signup\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/0E2mtXk4BUQLsVeT2ygm8YQVpM.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Why Wait? Transform Your Energy Management Now\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"\u201C\",/*#__PURE__*/e(\"strong\",{children:\"Energy management is at the core of every business\u2019s sustainability journey, but outdated systems have slowed progress,\"}),\"\u201D says Nick Tune, CEO of Optimise-AI. \u201C\",/*#__PURE__*/e(\"strong\",{children:\"Predict gives businesses the tools they need to reduce costs and environmental impact\u2014all in one seamless platform.\"}),\"\u201D\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Join the growing number of businesses taking control of their energy management. With Predict, you\u2019ll unlock powerful insights, boost efficiency, and contribute to a more sustainable future.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[\"\uD83D\uDC49 \",/*#__PURE__*/e(n,{href:\"https://app.optimise-ai.com/signup\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"Register here to use Predict today\"})})}),\" and take the first step toward smarter energy management!\\xa0\"]}),/*#__PURE__*/e(n,{href:\"https://app.optimise-ai.com/signup\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/0E2mtXk4BUQLsVeT2ygm8YQVpM.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText3=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"As industries race toward net-zero, actionable insights on cutting carbon emissions and enhancing sustainability are more valuable than ever. If you\u2019re in real estate, facilities management, or sustainability, Optimise-AI\u2019s \",/*#__PURE__*/e(\"strong\",{children:\"exclusive webinar\"}),\" is a can\u2019t-miss event that dives into how artificial intelligence (AI) is transforming decarbonisation for the built environment.\"]}),/*#__PURE__*/e(n,{href:\"https://us06web.zoom.us/webinar/register/WN_50I1jwCAREqeJC-or4ZNAA#/registration\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/umr44IMxfDfcOyYBAxrHeoMVHw.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})}),/*#__PURE__*/e(\"h3\",{children:\"What You\u2019ll Learn\"}),/*#__PURE__*/i(\"p\",{children:[\"Optimise-AI\u2019s innovative \",/*#__PURE__*/e(\"strong\",{children:\"Predict AI tool\"}),\" will be unveiled in this session, offering powerful new ways to monitor, optimise, and decarbonise your building portfolio. Imagine gaining real-time insights into your estate\u2019s energy use, all through a user-friendly dashboard\u2014this tool is a game-changer for businesses aiming to cut costs and reduce emissions effectively.\"]}),/*#__PURE__*/e(\"p\",{children:\"By attending, you\u2019ll also hear from industry leaders on the cutting edge of AI and sustainability, gaining practical knowledge on how AI is helping businesses reach net-zero faster.\"}),/*#__PURE__*/e(\"h3\",{children:\"Event Agenda Highlights\"}),/*#__PURE__*/e(\"p\",{children:\"This one-hour session includes a comprehensive lineup of experts:\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Nick Tune, Co-Founder and CEO of Optimise-AI\"}),\" \u2013 Opening with an introduction to the role of AI in real estate decarbonisation.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Prof. Yacine Rezgui, Co-Founder of Optimise-AI\"}),\" \u2013 Discussing the potential of AI to change the game for sustainable real estate.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Puja Balachander, Carbon 13\"}),\" \u2013 Exploring the broader impact of technology in tackling the climate crisis.\"]})})]}),/*#__PURE__*/i(\"p\",{children:[\"The event will also feature a \",/*#__PURE__*/e(\"strong\",{children:\"live demo of Predict AI\"}),\", showing how this tool empowers you to start making significant changes across your estate. A Q&A session will follow, providing a chance to engage with experts and get your questions answered.\"]}),/*#__PURE__*/e(\"h3\",{children:\"Why Attend?\"}),/*#__PURE__*/i(\"p\",{children:[\"Not only will you gain actionable insights on leveraging AI for sustainability, but you\u2019ll also have a chance to \",/*#__PURE__*/e(\"strong\",{children:\"win free access\"}),\" to the full Predict AI product! Being one of the first to use this tool can provide your business with a significant edge in managing carbon reduction goals effectively.\"]}),/*#__PURE__*/e(\"p\",{children:\"Join us in discovering how to create a more sustainable built environment. \"}),/*#__PURE__*/e(\"p\",{children:\"Register today and take a step toward a greener future!\"}),/*#__PURE__*/e(n,{href:\"https://us06web.zoom.us/webinar/register/WN_50I1jwCAREqeJC-or4ZNAA#/registration\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/umr44IMxfDfcOyYBAxrHeoMVHw.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText4=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"At Optimise-AI, our mission is clear: to create a more sustainable built environment by harnessing the power of advanced AI, machine learning, and \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-a-semantic-digital-twin\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"digital twin technology\"})}),\". A recent milestone in this journey is our partnership with Connected Places Catapult and Network Rail, which allowed us to implement and trial our cutting-edge energy and carbon management technology at Bristol Temple Meads station, one of the busiest rail hubs outside London.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"This exciting collaboration is part of the Station Innovation Zone, a testbed designed to explore transformative solutions for the rail industry. By integrating Internet of Things (IoT) sensors and digital twin technology, together we demonstrated that it\u2019s possible to drastically reduce energy waste while maintaining comfort and functionality in even the most complex and historic spaces.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Creating a Digital Twin of Bristol Temple Meads\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"The Optimise-AI team developed a virtual representation\u2014or digital twin\u2014of Bristol Temple Meads, providing a comprehensive view of the station\u2019s operations and energy consumption. This 3D visualisation, powered by real-time data, allowed us to identify inefficiencies and simulate various scenarios for energy and carbon savings.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[\"The results? Potential energy reductions of up to \",/*#__PURE__*/e(\"strong\",{children:\"one-third\"}),\". These savings can be achieved through:\\xa0\"]}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Static Measures\"}),\": Implementing physical upgrades such as energy-efficient windows, better insulation, heat pumps, and LED lighting.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Dynamic Measures\"}),\": Adjusting heating levels, ventilation, and lighting intensity based on real-time conditions.\\xa0\"]})})]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Small Sensors, Big Impact\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Our IoT sensors were Installed throughout the station and these sensors collect real-time data on occupancy, temperature, humidity, carbon dioxide levels, and energy use. By analysing this data, the system can make intelligent, automated decisions. For example:\\xa0\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Adjusting lighting and heating in underutilised spaces.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Anticipating passenger flows at barrier gates and platforms using train schedules to optimise energy output.\\xa0\"})})]}),/*#__PURE__*/e(\"p\",{children:\"This intelligent approach ensures energy is used only where and when it\u2019s needed, minimising waste and reducing carbon emissions.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Bridging Data Gaps in the Built Environment\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"One of the key challenges in many buildings, including railway stations, is the lack of actionable data on energy use. Stations are often inefficient, with lighting, lifts, escalators, and other machinery operating indiscriminately. By introducing additional energy meters and sensors, we\u2019ve been able to bridge this data gap, offering insights that were previously out of reach.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Role of Connected Places Catapult\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Optimise-AI\u2019s journey wouldn\u2019t have been possible without the invaluable support of Connected Places Catapult. Through its funding programs and industry connections, we secured critical resources, including a \\xa370,000 grant to refine our technology for Bristol Temple Meads.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"\u201CThe Catapult team has been instrumental in helping us scale and connect with key partners like Network Rail,\u201D said Nick Tune, founder and director of Optimise-AI. \u201CTheir support allowed us to rebuild our system interface and demonstrate its potential in real-world applications.\u201D\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Looking Ahead: Scaling Up and Expanding Impact\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"The success at Bristol Temple Meads is just the beginning. Optimise-AI envisions rolling out our digital twin technology across the rail sector, from other large stations to rail depots and operational line-side buildings. Beyond fixed infrastructure, there\u2019s also enormous potential to optimise the energy performance of electric trains themselves.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"At Optimise-AI, we\u2019re leading the charge in transforming the rail industry\u2019s approach to energy management. By leveraging live data and advanced AI, we\u2019re empowering railway operators to make smarter, more sustainable choices\u2014paving the way for a greener future.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Want to learn more about our work? Contact us at \"}),/*#__PURE__*/e(n,{href:\"http://www.optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"www.optimise-ai.com\"})})}),/*#__PURE__*/e(\"strong\",{children:\" and explore how we\u2019re driving innovation in energy efficiency and decarbonisation.\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:/*#__PURE__*/e(n,{href:\"https://cp.catapult.org.uk/article/managing-energy-use-smartly-at-bristol-temple-meads/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"More from Catapult.\"})})}),/*#__PURE__*/e(n,{href:{webPageId:\"mqqHNY49X\"},motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/KsuGuH8NS2teIHZSDTweYcAEbt8.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText5=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"Federated AI is a transformative approach to machine learning that\u2019s gaining traction across industries, especially in fields that require secure, scalable data analysis. Within building energy management, Federated AI is a game changer, allowing systems like Optimise-AI\u2019s Predict and Optimise tools to learn from multiple buildings\u2019 energy data without needing centralised storage. This decentralisation opens new possibilities for energy management, all while preserving data privacy and enhancing adaptability. But what exactly is Federated AI, and why is it so valuable for creating energy-efficient, sustainable buildings?\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"What Is Federated AI?\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Federated AI, also known as Federated Learning (FL), is a machine learning framework where multiple devices or data sources collaborate to train an AI model, all while keeping data localised. Instead of gathering all data on a central server, Federated AI enables individual devices or nodes to learn independently and share only their learned insights (model parameters) with a central model.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:'For example, imagine multiple buildings, each equipped with an HVAC system, contributing anonymised insights about energy consumption patterns without transferring actual data. Each building \"learns\" on its own, and only the model updates are shared to improve overall system accuracy. This approach allows learning from diverse data sources while protecting each source\u2019s privacy and confidentiality.\\xa0'}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Why Is Federated AI Valuable for Energy Management?\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Building energy optimisation often requires vast amounts of data to improve efficiency. However, gathering and centralising such data is both logistically challenging and costly. Federated AI overcomes these challenges by enabling distributed data processing. Here\u2019s why this matters:\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Data Privacy and Security\"}),\": By keeping data on-site and only sharing model parameters, Federated AI protects sensitive building data, addressing privacy concerns while allowing data-informed decision-making. This is crucial in sectors like healthcare, finance, and now, energy management.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Cost-Effectiveness\"}),\": Centralised data systems can be expensive to maintain, particularly when dealing with multiple building sites. Federated AI reduces data storage needs by distributing the data workload across many sources, allowing efficient and low-cost operations.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Scalability and Adaptability\"}),\": Each building has unique patterns, architecture, and energy needs. Federated AI allows for personalised learning at each site, capturing these differences while contributing to a general model. This adaptability is especially valuable in non-domestic buildings, which have diverse structures and requirements.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Faster Model Training and Real-Time Updates\"}),\": Federated AI accelerates model training because insights are generated and shared in real-time. As each building learns and adapts, the main model also improves, leading to faster energy optimisations across the entire building network.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"How Optimise-AI Leverages Federated AI\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"At Optimise-AI, Federated AI is the backbone of our Predict and Optimise solutions, both of which aim to make real-time adjustments to energy usage without compromising data security. Here\u2019s how we do it:\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Co-Learning Across Buildings\"}),\": Each building within an estate runs its own local model, learning from real-time energy patterns and usage behaviors. Through Federated AI, these local models send anonymised updates to a central model, which aggregates the information without needing access to the actual data. This way, the model becomes more robust with each learning cycle, benefiting from co-learning across multiple buildings.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Adapting to Diverse Needs\"}),\": Because Federated AI allows each building to learn individually, it\u2019s possible to account for distinct features like building materials, weather patterns, and occupancy rates. These insights are then shared back to the broader model, enhancing the Predict tool\u2019s accuracy across diverse environments.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-Time Interventions\"}),\": By leveraging Federated AI, Optimise-AI's digital twin technology, which includes 'Predict\u2019 and \u2018Optimise\u2019, can make timely adjustments for each site, minimising energy waste and increasing savings without delays.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Future Prospects: Federated AI and the Decentralised Energy Grid\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Federated AI has the potential to play a critical role in the decentralised energy grid of the future, where energy production and consumption are more localised and dynamically managed. In such a grid, Federated AI could be used to aggregate data from local renewable sources, such as solar panels or wind turbines, helping balance supply and demand in real-time.\\xa0\"}),/*#__PURE__*/e(\"p\",{children:\"In summary, Federated AI provides a framework that brings scalability, security, and adaptability to the building energy management sector. Optimise-AI leverages this technology to address the unique energy needs of each building while enhancing our understanding of energy usage patterns across entire estates. As we continue on the path toward decarbonisation, Federated AI will likely become indispensable, allowing us to use energy more efficiently, save costs, and contribute to a more sustainable future.\\xa0\"}),/*#__PURE__*/e(n,{href:{webPageId:\"mqqHNY49X\"},motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/KsuGuH8NS2teIHZSDTweYcAEbt8.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText6=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"In today\u2019s rapidly advancing world, artificial intelligence (AI) and machine learning (ML) are creating powerful new ways to analyse data and unlock energy savings that were previously out of reach.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[\"Digitalisation and AI are now essential in building management, especially for optimising energy use. With climate change and rising energy costs intensifying the need for efficient solutions, \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"Optimise-AI\"})}),\" combines machine learning with augmented semantics to offer a groundbreaking approach to energy management. Here\u2019s how we\u2019re redefining energy efficiency and sustainability across the built environment.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Challenge\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Buildings account for nearly 40% of global energy use. In particular, non-domestic buildings, many of which are not actively managed or lack updated Building Management Systems (BMS), often have inefficient heating, cooling, and lighting systems. This leads to excessive energy waste and inflated costs. Adding to the complexity, 90% of older buildings lack historical datasets and BMS systems, making data-driven insights hard to obtain.\\xa0\"}),/*#__PURE__*/i(\"p\",{children:[\"Optimise-AI addresses this gap through AI-powered \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-a-semantic-digital-twin\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"semantic digital twins\"})}),\", which provide predictive and adaptive management capabilities for these buildings. Using data-scarce solutions, our technology offers actionable insights even for buildings without traditional BMS infrastructure, ensuring immediate impact and access to energy efficiency.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"About Optimise-AI\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"As an award-winning innovator in energy technology, Optimise-AI specialises in advanced, rapid-energy interventions for building assets, including those under data constraints. We leverage a patented methodology that combines digital twin technology with generative AI, resulting in\",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-a-semantic-digital-twin\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/i(a.a,{children:[\" \",/*#__PURE__*/e(\"strong\",{children:\"semantic digital twins\"})]})}),\"\u2014models that don\u2019t just mirror a building\u2019s systems but truly understand and predict them. This innovation allows for an in-depth, actionable understanding of each building\u2019s dynamics, empowering those who manage the buildings make better-informed decisions quickly.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"How It Works: Our Technology\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"Optimise-AI\u2019s \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-a-semantic-digital-twin\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"semantic digital twins\"})})}),\" use cutting-edge ML and ontology-based language models to process complex building data with richer context. By integrating both historical and real-time information, these digital twins allow users to ask more insightful questions and receive precise answers, transforming passive data into active intelligence. Our technology is built on:\\xa0\"]}),/*#__PURE__*/i(\"ol\",{style:{\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Fast Machine Learning\"}),\" \u2013 Quickly analyses patterns and trends to create accurate energy models for each building.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-federated-ai-and-how-is-it-shaping-the-future-of-building-energy-management\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"Federated AI\"})})}),/*#__PURE__*/e(\"strong\",{children:\" and Co-Learning\"}),\" \u2013 Uses adaptable AI to interpret and learn from limited or no data, sharing insights across non-domestic buildings to maximise energy optimisation.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Neural Networks and Genetic Algorithms\"}),\" \u2013 Captures nonlinear relationships between variables and finds optimal solutions across multiple dimensions, making it especially effective in optimising energy systems in complex building ecosystems.\\xa0\"]})})]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-World Impact\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"Our \",/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\" and \",/*#__PURE__*/e(\"strong\",{children:\"Optimise\"}),\" tools provide those who manage non-domestic buildings with powerful, user-friendly insights for reducing energy consumption:\\xa0\"]}),/*#__PURE__*/i(\"ul\",{style:{\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"\u2018Predict\u2019\"}),\" Capable of predicting future energy pathways and identifying opportunities for savings.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"\u2018Optimise\u2019\"}),\" Enhancing systems based on real-time energy demands, creating a dynamic response to changing conditions.\\xa0\"]})})]}),/*#__PURE__*/e(\"p\",{children:\"With these tools in action, Optimise-AI has demonstrated up to 40% energy and cost savings by adjusting systems such as heating, cooling, lighting, and building fabric. This holistic approach captures each building's unique needs and offers tailored recommendations that are accessible via an intuitive dashboard.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Conclusion: A Smarter, More Efficient Future\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"Optimise-AI\u2019s use of \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/blog/what-is-a-semantic-digital-twin\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"semantic digital twins\"})}),\" and advanced AI provides a unique solution for non-domestic buildings, addressing today\u2019s energy challenges with innovative efficiency. Our technology empowers building managers to achieve unprecedented levels of energy savings, lower carbon emissions, and create a path toward net-zero buildings. By embracing the power of AI-driven insights, we can unlock new levels of energy management and forge a sustainable future for building operations.\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"For more information on Optimise-AI\u2019s groundbreaking energy management solutions, visit \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"optimise-ai.com\"})})}),\".\\xa0\"]}),/*#__PURE__*/e(n,{href:{webPageId:\"mqqHNY49X\"},motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/4ST01Hs61rZHj0vGqdgeuZMrso.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})}),/*#__PURE__*/i(\"ul\",{style:{\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"rgb(0, 0, 0)\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-stroke-width\":\"0px\",\"--framer-text-transform\":\"none\"},children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"References:\"}),\"\\xa0[1] Rezgui, Y., Beach, T. H. O., Petri, I., Hippolyte, J. L., Ahmad, M. W., Wanqing, Z. H. A. O., & Howell, S. (2023).\u202FU.S. Patent No. 11,669,059. Washington, DC: U.S. Patent and Trademark Office, \",/*#__PURE__*/e(n,{href:\"https://patents.google.com/patent/US11669059B2/en\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"https://patents.google.com/patent/US11669059B2/en\"})}),\"\\xa0\\xa0\\xa0\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[\"Petri, I., Rezgui, Y., Ghoroghi, A. and Alzahrani, A. 2023.\u202F\",/*#__PURE__*/e(n,{href:\"https://orca.cardiff.ac.uk/157277\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"Digital twins for performance management in the built environment\"})}),\".\u202FJournal of Industrial Information Integration\u202F33, article number: 100445. (\",/*#__PURE__*/e(n,{href:\"http://dx.doi.org/10.1016/j.jii.2023.100445\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"10.1016/j.jii.2023.100445\"})}),\")\\xa0\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",style:{\"--framer-font-size\":\"16px\",\"--framer-letter-spacing\":\"0em\",\"--framer-line-height\":\"24px\",\"--framer-text-alignment\":\"start\",\"--framer-text-color\":\"var(--token-4b39b045-c26e-454f-93a8-a6206216f625, #333333)\",\"--framer-text-decoration\":\"none\",\"--framer-text-stroke-color\":\"var(--framer-text-stroke-color, initial)\",\"--framer-text-transform\":\"none\"},children:/*#__PURE__*/i(\"p\",{children:[\"Petri, I., Li, H., Rezgui, Y., Chunfeng, Y., Yuce, B. and Jayan, B. 2014.\u202F\",/*#__PURE__*/e(n,{href:\"https://orca.cardiff.ac.uk/62551\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"A modular optimisation model for reducing energy consumption in large scale building facilities\"})}),\".\u202FRenewable and Sustainable Energy Reviews\u202F38, pp. 990-1002. (\",/*#__PURE__*/e(n,{href:\"http://dx.doi.org/10.1016/j.rser.2014.07.044\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"10.1016/j.rser.2014.07.044\"})}),\")\\xa0\\xa0\"]})})]})]});export const richText7=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"As building management and energy efficiency become essential pillars of sustainable development, advanced technologies like \",/*#__PURE__*/e(\"strong\",{children:\"semantic digital twins\"}),\" are emerging as groundbreaking tools. But what exactly is a semantic digital twin, and how does it differ from traditional digital twin technology?\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"This blog will break down the fundamentals of semantic digital twins and illustrate how they\u2019re transforming the landscape of energy optimisation and facility management, particularly in older or data-scarce buildings.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Understanding Digital Twins\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"A \",/*#__PURE__*/e(\"strong\",{children:\"digital twin\"}),\" is a virtual replica of a physical object, system, or process that receives real-time data updates from its physical counterpart. Originally used in sectors like manufacturing and aerospace, digital twins are now being adapted for the built environment, where they offer a real-time view of a building\u2019s systems\u2014from HVAC to lighting, water systems, and more.\\xa0\"]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"What Makes a Semantic Digital Twin Different?\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"While a traditional digital twin mirrors a building\u2019s systems and components, a \",/*#__PURE__*/e(\"strong\",{children:\"semantic digital twin\"}),\" brings a deeper layer of understanding. It integrates \",/*#__PURE__*/e(\"strong\",{children:\"meaning and context\"}),\" into the digital model, allowing the system to interpret and analyse complex data sets more intelligently.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"In simple terms, a semantic digital twin doesn\u2019t just \u201Csee\u201D the data; it \u201Cunderstands\u201D it within the broader context of the building\u2019s operational goals, energy efficiency requirements, and occupancy patterns. This enriched understanding is what makes semantic digital twins especially powerful in the energy optimisation space.\\xa0\"}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Key Features of Semantic Digital Twins\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Contextual Understanding of Data\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"A semantic digital twin uses ontologies and machine learning (ML) to understand not only the data itself but also how that data relates to a building\u2019s broader energy goals. This contextual knowledge means the digital twin can predict and suggest more accurate, meaningful adjustments to optimise energy consumption.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Adaptive Learning Capabilities\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"By using advanced ML algorithms and generative AI, semantic digital twins continuously learn from both historical and real-time data, adapting to changes in usage patterns, seasons, and other dynamic factors. This ensures that insights remain relevant and actionable over time.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Enhanced Predictive and Diagnostic Power\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"The semantic layer enables more advanced predictive analytics. For example, a semantic digital twin can forecast energy usage peaks and potential faults before they occur, allowing building managers to proactively manage resources, minimise waste, and reduce downtime.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Interoperability and Flexibility\"}),\"\\xa0\",/*#__PURE__*/e(\"br\",{}),\"Semantic digital twins can operate within data-scarce environments, filling in gaps through AI-driven feature transferability and co-learning. This capability is especially useful in older buildings or facilities with limited digital infrastructure, as the semantic digital twin can generate missing data or interpret sparse data sets to deliver valuable insights.\\xa0\"]})})]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"How Optimise-AI Uses Semantic Digital Twins\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"At \",/*#__PURE__*/e(\"strong\",{children:\"Optimise-AI\"}),\", our patented approach combines fast machine learning, neural networks, and genetic algorithms with semantics to create digital twins that adapt to the unique characteristics of each building. This methodology allows our semantic digital twins to:\\xa0\"]}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Predict future energy pathways\"}),\": Our predictive tools help facilities managers anticipate energy usage trends and make informed decisions to reduce consumption.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Optimise system performance in real time\"}),\": As the semantic digital twin learns and adapts, it can suggest optimisations that align with the building\u2019s energy and sustainability goals.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Deliver custom interventions for specific buildings\"}),\": Every building has different energy needs and challenges. By modeling each building\u2019s socio-technical parameters, our digital twins offer bespoke solutions that maximise efficiency and sustainability.\\xa0\"]})})]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Benefits of Semantic Digital Twins in Building Management\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Semantic digital twins provide a more intelligent and context-aware approach to building management, offering:\\xa0\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Reduced Energy Costs\"}),\": Through precise optimisations and predictive management, semantic digital twins can help reduce energy costs by up to 40%.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Sustainability and Compliance\"}),\": By identifying energy-saving opportunities and reducing emissions, they support compliance with environmental regulations and net-zero initiatives.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-Time, Actionable Insights\"}),\": Estate managers gain immediate access to insights that help them understand where improvements are needed and how to implement them.\\xa0\"]})})]}),/*#__PURE__*/i(\"h5\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Future of Building Management with Semantic Digital Twins\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"Semantic digital twins represent a forward-thinking approach to energy optimisation, capable of transforming how buildings are managed, particularly when data is limited. With this technology, the future of building management is not just about monitoring; it\u2019s about understanding and optimising buildings in ways that were previously out of reach.\\xa0For more information on how semantic digital twins are changing the world of building energy management, visit \",/*#__PURE__*/e(n,{href:\"https://optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:/*#__PURE__*/e(\"strong\",{children:\"optimise-ai.com\"})})}),\".\\xa0\\xa0\"]}),/*#__PURE__*/e(n,{href:{webPageId:\"mqqHNY49X\"},motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/KsuGuH8NS2teIHZSDTweYcAEbt8.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText8=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"At Optimise-AI, we are thrilled to share some news: we\u2019ve secured a six-figure equity investment to further develop our cutting-edge AI platform, \",/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\", and continue empowering businesses to achieve smarter energy management and decarbonisation.\"]}),/*#__PURE__*/e(\"h4\",{children:/*#__PURE__*/e(\"strong\",{children:\"Our Vision: Smarter, Sustainable Energy Management\"})}),/*#__PURE__*/e(\"p\",{children:\"Optimise-AI was founded in 2023 by Prof. Yacine Rezgui and Nick Tune, two experts passionate about leveraging technology to drive meaningful change. Our mission is clear: to enable businesses to cut costs, reduce carbon emissions, and optimise their energy consumption with powerful, data-driven insights.\"}),/*#__PURE__*/e(\"h4\",{children:/*#__PURE__*/e(\"strong\",{children:\"Why This Investment Matters\"})}),/*#__PURE__*/e(\"p\",{children:\"This new funding is more than just a milestone for our company\u2014it\u2019s a leap forward in our ability to help businesses address one of the biggest challenges of our time: reducing their carbon footprint.\"}),/*#__PURE__*/i(\"p\",{children:[\"The funds will allow us to expand the capabilities of \",/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\", our AI-powered platform that provides:\"]}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Actionable energy insights\"}),\" to reduce waste and costs.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-time data analysis\"}),\" for smarter energy decisions.\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Scalable solutions\"}),\" for businesses of all sizes, from single buildings to entire estates.\"]})})]}),/*#__PURE__*/e(\"h4\",{children:/*#__PURE__*/e(\"strong\",{children:\"A Growing Network of Innovation\"})}),/*#__PURE__*/e(\"p\",{children:\"This investment also marks an exciting step in our collaboration with the broader business and tech communities. We\u2019re grateful for the support of investors who share our vision for a sustainable future and see the immense potential in applying AI to energy management.\"}),/*#__PURE__*/e(\"h4\",{children:/*#__PURE__*/e(\"strong\",{children:\"What\u2019s Next for Optimise-AI?\"})}),/*#__PURE__*/i(\"p\",{children:[\"We\u2019re not stopping here. Our team is working hard to expand \",/*#__PURE__*/e(\"strong\",{children:\"Predict\"}),\"'s reach and refine its capabilities. From automating energy audits to tailoring tariff recommendations, we\u2019re constantly innovating to make energy management simpler, smarter, and more impactful.\"]}),/*#__PURE__*/i(\"p\",{children:[\"If your business is ready to take control of its energy future, we invite you to explore Predict for free today: \",/*#__PURE__*/e(n,{href:\"https://app.optimise-ai.com/signup\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"https://app.optimise-ai.com/signup\"})}),\".\"]}),/*#__PURE__*/e(\"p\",{children:\"Together, we can drive change, one building at a time.\"}),/*#__PURE__*/e(n,{href:{webPageId:\"mqqHNY49X\"},motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!1,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{className:\"framer-image\",\"data-preset-tag\":\"img\",children:/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"50\",src:\"https://framerusercontent.com/images/KsuGuH8NS2teIHZSDTweYcAEbt8.png\",style:{aspectRatio:\"320 / 100\"},width:\"160\"})})})]});export const richText9=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/e(\"p\",{children:\"ScotRail is making a significant move toward achieving its net-zero goals by partnering with Optimise-AI. This collaboration has led to the creation of digital twins for 15 stations and depots, utilising Optimise-AI's patented technology to deliver actionable insights for reducing carbon emissions across ScotRail's varied building portfolio.\"}),/*#__PURE__*/e(\"p\",{children:\"Poul Wend Hansen, ScotRail\u2019s Head of Sustainability, worked closely with Optimise-AI  to deliver the project, stating:\"}),/*#__PURE__*/e(\"p\",{children:'\"The capabilities Optimise-AI provides ScotRail to measure and target reductions in our energy consumption offers us the opportunity to target action and investment in our building portfolio in line with the Scottish Governments  2045 net zero target.\"'}),/*#__PURE__*/e(\"p\",{children:\"With Optimise-AI's real-time tracking and optimisation features, ScotRail can monitor energy consumption at every level\u2014from entire buildings to individual rooms and systems. Through an intuitive dashboard, ScotRail benefits from immediate recommendations and adjustments, focusing decarbonisation efforts and investment where they\u2019re needed most.\"}),/*#__PURE__*/e(\"p\",{children:\"Potential savings are substantial, with reductions of up to 40% projected in the short to medium term. Poul further noted:\"}),/*#__PURE__*/e(\"p\",{children:\"\u201CWe can now test our decarbonisation strategies within the digital twin and demonstrate ROI. The tool gives us the ability to continuously track and optimise our savings from our actions to achieve net zero. The insight the tool offers is a significant opportunity not only for ScotRail but for the rail industry, showcasing the financial and environmental advantages of AI-driven solutions for efficient targeted investment to achieve cost and net zero goals.\u201D\"}),/*#__PURE__*/e(\"p\",{children:\"As Optimise-AI\u2019s system gathers more data and refines its models, it is anticipated that ScotRail will achieve even greater insights, resulting in further reductions in both carbon emissions and costs.\"}),/*#__PURE__*/e(\"p\",{children:\"For more information on this partnership and Optimise-AI\u2019s cutting-edge solutions, visit www.optimise-ai.com \"})]});export const richText10=/*#__PURE__*/i(r.Fragment,{children:[/*#__PURE__*/i(\"p\",{children:[\"In the world of smart buildings and advanced technology, the term \",/*#__PURE__*/e(\"strong\",{children:\"#DigitalTwin\"}),\" has become increasingly common. But what exactly is a digital twin, and why is its accuracy so critical? Yacine Rezgui, co-founder of \",/*#__PURE__*/e(n,{href:\"https://www.optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"Optimise AI\"})}),\"\u2014market leaders in AI-driven solutions for building performance\u2014shares his insights on the subject.\\xa0\"]}),/*#__PURE__*/i(\"h3\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Understanding Digital Twins\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"A \",/*#__PURE__*/e(\"strong\",{children:\"digital twin\"}),\" is a virtual representation of a physical asset, like a building or a piece of equipment. It allows users to simulate, monitor, and analyse the real-world performance of these assets in real-time. By creating a detailed digital replica, users can gain valuable insights into the behavior and performance of their physical assets, enabling better decision-making and more efficient operations.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Digital twins have become a game-changer in the realm of smart buildings, providing an in-depth view of how assets perform over time. They help track energy consumption, predict maintenance needs, and improve overall building management. However, the effectiveness of a digital twin relies heavily on how accurately it mirrors the real-world asset it represents.\\xa0\"}),/*#__PURE__*/e(\"img\",{alt:\"\",className:\"framer-image\",height:\"237\",src:\"https://framerusercontent.com/images/0FD3Cq36gvIknZ0kWzFVo4W36M.png\",srcSet:\"https://framerusercontent.com/images/0FD3Cq36gvIknZ0kWzFVo4W36M.png?scale-down-to=512 512w,https://framerusercontent.com/images/0FD3Cq36gvIknZ0kWzFVo4W36M.png?scale-down-to=1024 1024w,https://framerusercontent.com/images/0FD3Cq36gvIknZ0kWzFVo4W36M.png 1032w\",style:{aspectRatio:\"1032 / 475\"},width:\"516\"}),/*#__PURE__*/i(\"h3\",{children:[/*#__PURE__*/e(\"strong\",{children:\"The Challenge of Maintaining Accuracy\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"As Yacine Rezgui explains, \",/*#__PURE__*/e(\"strong\",{children:\"\u201CThe biggest challenge we face with digital twins is ensuring they continuously mimic the performance of the real building or asset with a high level of accuracy.\u201D\"}),\" This challenge is critical because even slight deviations between the digital and physical models can lead to inaccuracies in decision-making, resulting in missed opportunities for energy savings and efficiency improvements.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Maintaining this high level of accuracy involves two key steps:\\xa0\"}),/*#__PURE__*/i(\"ol\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Real-time Monitoring of Accuracy Levels\"}),\": It is essential to determine, in near real-time, when a digital twin falls outside acceptable accuracy levels. This allows for timely adjustments and ensures that the digital model remains a reliable reflection of the physical asset\u2019s performance.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Recalibrating and Retraining Models\"}),\": When accuracy drifts, recalibrating or retraining the energy and surrogate models is necessary. This process involves updating the digital twin's parameters to realign it with the current conditions of the physical asset, ensuring that it remains fit for purpose.\\xa0\"]})})]}),/*#__PURE__*/i(\"h3\",{children:[/*#__PURE__*/e(\"strong\",{children:\"How Optimise AI Maintains Digital Twin Accuracy\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"At \",/*#__PURE__*/e(n,{href:\"https://www.optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"Optimise AI\"})}),\", we address this challenge by leveraging the power of \",/*#__PURE__*/e(\"strong\",{children:\"Machine Learning (ML)\"}),\" and \",/*#__PURE__*/e(\"strong\",{children:\"Artificial Intelligence (AI)\"}),\". Our approach ensures that digital twins stay closely aligned with the real-time performance of the building or asset they represent. This accuracy is essential for optimising energy use, reducing carbon emissions, and delivering actionable insights for building management.\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"By applying ML and AI, we can:\\xa0\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Continuously monitor the digital twin's performance against real-world data.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Adjust models dynamically as conditions change.\\xa0\"})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/e(\"p\",{children:\"Use predictive algorithms to forecast energy usage and maintenance needs, maximising efficiency and minimising costs.\\xa0\"})})]}),/*#__PURE__*/i(\"p\",{children:[\"As a result, our digital twins not only provide a snapshot of current building performance but also enable precise prediction and forecasting capabilities. This allows our clients to make data-driven decisions that lead to \",/*#__PURE__*/e(\"strong\",{children:\"significant energy and carbon savings\"}),\".\\xa0\"]}),/*#__PURE__*/i(\"h3\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Why Accuracy Matters\"}),\"\\xa0\"]}),/*#__PURE__*/e(\"p\",{children:\"Accurate digital twins are more than just a digital reflection\u2014they are powerful tools that enable businesses to:\\xa0\"}),/*#__PURE__*/i(\"ul\",{children:[/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Optimise energy consumption\"}),\": By accurately reflecting real-world conditions, digital twins help identify areas where energy can be conserved, leading to lower costs and reduced environmental impact.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Improve maintenance planning\"}),\": With a detailed understanding of asset performance, digital twins can predict when maintenance is needed, reducing unplanned downtime and extending the life of equipment.\\xa0\"]})}),/*#__PURE__*/e(\"li\",{\"data-preset-tag\":\"p\",children:/*#__PURE__*/i(\"p\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Enhance overall operational efficiency\"}),\": Real-time data analysis allows businesses to fine-tune building operations, achieving greater efficiency and performance.\\xa0\"]})})]}),/*#__PURE__*/i(\"h3\",{children:[/*#__PURE__*/e(\"strong\",{children:\"Partnering with Optimise AI\"}),\"\\xa0\"]}),/*#__PURE__*/i(\"p\",{children:[\"As market leaders in digital twin technology, \",/*#__PURE__*/e(n,{href:\"https://www.optimise-ai.com/\",motionChild:!0,nodeId:\"vKiCb7WU6\",openInNewTab:!0,scopeId:\"contentManagement\",smoothScroll:!1,children:/*#__PURE__*/e(a.a,{children:\"Optimise AI\"})}),\" is at the forefront of delivering AI-driven solutions that drive efficiency and sustainability. By ensuring that our digital twins remain a true representation of the real performance of building assets, we empower clients to make smarter decisions and achieve their decarbonisation goals.\\xa0Whether you are looking to reduce energy costs, lower your carbon footprint, or improve building performance, our solutions are designed to help you succeed\u2014accurately, efficiently, and in real time.\\xa0\"]})]});\nexport const __FramerMetadata__ = {\"exports\":{\"richText7\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText2\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText8\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText5\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText4\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText1\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText3\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText6\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText10\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"richText9\":{\"type\":\"variable\",\"annotations\":{\"framerContractVersion\":\"1\"}},\"__FramerMetadata__\":{\"type\":\"variable\"}}}"],
  "mappings": "ySAAyS,IAAMA,EAAsBC,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,qPAAqP,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yFAAyF,CAAC,EAAE,UAAU,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wHAAwH,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6OAAmO,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iDAAiD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+RAA+R,CAAC,EAAeA,EAAE,aAAa,CAAC,SAAsBA,EAAE,IAAI,CAAC,SAAS,+TAA+T,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0NAAqN,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6CAA6C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qLAAqL,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+NAA+N,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yMAAyM,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mCAAmC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0RAA0R,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wMAAwM,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wMAAwM,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,2BAA2B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gIAAgI,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,EAAE,yFAAyF,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAsB,CAAC,EAAE,qFAAqF,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,EAAE,wEAAwE,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mKAAmK,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iDAAiD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+XAAqX,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wTAAwT,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8TAAyT,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,6HAA0IE,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,uBAAuB,CAAC,CAAC,CAAC,EAAE,UAAU,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeC,EAAuBL,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,yBAAsCE,EAAEC,EAAE,CAAC,KAAK,qFAAqF,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,iDAA4C,CAAC,CAAC,CAAC,EAAE,2FAA2F,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,qSAAgS,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oSAAoS,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,gEAAgE,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mRAAmR,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,gCAAgC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,sCAAsC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,qDAAqD,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8HAA8H,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,0DAA0D,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2dAA2d,CAAC,EAAeA,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEI,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBL,EAAEM,EAAE,CAAC,GAAGD,EAAE,KAAK,OAAO,WAAW,GAAG,UAAU,iBAAiB,IAAI,kDAAkD,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeL,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,oGAAoG,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6EAA6E,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAsB,CAAC,EAAE,gSAA2R,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,4BAA4B,CAAC,EAAE,gSAA2R,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,8PAAyP,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,qFAAqF,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4EAA4E,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,+FAA+F,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,6FAA6F,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAsB,CAAC,EAAE,8FAA8F,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,6FAA6F,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kSAAkS,CAAC,EAAeA,EAAE,MAAM,CAAC,UAAU,qBAAqB,MAAM,CAAC,iBAAiB,YAAY,YAAY,YAAY,OAAO,OAAO,MAAM,MAAM,EAAE,SAAsBA,EAAEI,EAAE,CAAC,oBAAoB,sEAAsE,SAASC,GAAgBL,EAAEM,EAAE,CAAC,GAAGD,EAAE,KAAK,OAAO,WAAW,GAAG,UAAU,iBAAiB,IAAI,kDAAkD,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeL,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,2FAA2F,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qRAAgR,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6CAA6C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gGAAgG,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,EAAE,oEAAoE,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,sEAAsE,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,EAAE,0EAA0E,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,+BAA+B,CAAC,EAAE,8EAA8E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,gBAAgB,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0aAA0a,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kSAAkS,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,0CAA0C,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAE,KAAK,CAAC,SAAS,2NAA2N,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,4BAA4B,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,2BAA2B,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,kCAAkC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,MAAM,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeO,EAAuBT,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,uaAA+aE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,mJAA8I,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8CAA8C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,iRAAkQ,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,yPAA0O,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,qCAAqC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,+LAA+L,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,uCAAuC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,8RAA+Q,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oDAAoD,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,0OAA0O,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,mLAA8K,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,4BAA4B,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,8PAAyP,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,8NAAyN,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,aAAmBE,EAAEC,EAAE,CAAC,KAAK,qCAAqC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,2DAA2D,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,qCAAqC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,sEAAsE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gDAAgD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,SAAiBE,EAAE,SAAS,CAAC,SAAS,8HAAyH,CAAC,EAAE,oDAAuDA,EAAE,SAAS,CAAC,SAAS,0HAAqH,CAAC,EAAE,YAAO,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yMAAoM,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,aAAmBE,EAAEC,EAAE,CAAC,KAAK,qCAAqC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,oCAAoC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,gEAAgE,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,qCAAqC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,sEAAsE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeQ,EAAuBV,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,6OAAgPE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,yIAAoI,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,mFAAmF,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,sEAAsE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,wBAAmB,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,iCAAyCE,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,EAAE,iVAAuU,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4LAAuL,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,yBAAyB,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mEAAmE,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8CAA8C,CAAC,EAAE,wFAAmF,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gDAAgD,CAAC,EAAE,wFAAmF,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,oFAA+E,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,iCAA8CE,EAAE,SAAS,CAAC,SAAS,yBAAyB,CAAC,EAAE,oMAAoM,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAS,aAAa,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,yHAAiIE,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,EAAE,4KAA4K,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6EAA6E,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,yDAAyD,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,mFAAmF,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,sEAAsE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeS,EAAuBX,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,sJAAmKE,EAAEC,EAAE,CAAC,KAAK,+DAA+D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,yBAAyB,CAAC,CAAC,CAAC,EAAE,6RAA6R,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,kZAA6Y,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iDAAiD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8VAA+U,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,qDAAkEE,EAAE,SAAS,CAAC,SAAS,WAAW,CAAC,EAAE,8CAA8C,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,EAAE,yHAAyH,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kBAAkB,CAAC,EAAE,oGAAoG,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,2BAA2B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,2QAA2Q,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,6DAA6D,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,kHAAkH,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4IAAuI,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6CAA6C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,sYAAiY,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,uCAAuC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oSAA0R,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kTAA8R,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gDAAgD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,wWAAmW,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gSAA4Q,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mDAAmD,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,8BAA8B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,qBAAqB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,0FAAqF,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAsBA,EAAEC,EAAE,CAAC,KAAK,0FAA0F,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,qBAAqB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAEC,EAAE,CAAC,KAAK,CAAC,UAAU,WAAW,EAAE,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeU,EAAuBZ,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,yoBAA0nB,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,uBAAuB,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+YAA+Y,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4ZAAuZ,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,qDAAqD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uSAAkS,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,2BAA2B,CAAC,EAAE,4QAA4Q,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,EAAE,iQAAiQ,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,6TAA6T,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6CAA6C,CAAC,EAAE,oPAAoP,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uNAAkN,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,uZAAuZ,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,2BAA2B,CAAC,EAAE,8TAAoT,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yBAAyB,CAAC,EAAE,4OAA6N,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kEAAkE,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,kXAAkX,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ogBAAogB,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,CAAC,UAAU,WAAW,EAAE,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeW,EAAuBb,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,iNAA4M,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,oMAAiNE,EAAEC,EAAE,CAAC,KAAK,2BAA2B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,2NAAiN,CAAC,CAAC,EAAeJ,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,eAAe,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4bAA4b,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,qDAAkEE,EAAEC,EAAE,CAAC,KAAK,+DAA+D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,EAAE,uRAAuR,CAAC,CAAC,EAAeJ,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,6RAA0SE,EAAEC,EAAE,CAAC,KAAK,+DAA+D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBH,EAAEI,EAAE,EAAE,CAAC,SAAS,CAAC,IAAiBF,EAAE,SAAS,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,oSAAgR,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,sBAA8BE,EAAEC,EAAE,CAAC,KAAK,+DAA+D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,2VAA2V,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,0BAA0B,QAAQ,sBAAsB,eAAe,6BAA6B,2CAA2C,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,uBAAuB,CAAC,EAAE,sGAAiG,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAEC,EAAE,CAAC,KAAK,mHAAmH,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,SAAS,CAAC,SAAS,kBAAkB,CAAC,EAAE,+JAA0J,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,oNAA+M,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,mBAAmB,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,OAAoBE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,QAAqBA,EAAE,SAAS,CAAC,SAAS,UAAU,CAAC,EAAE,mIAAmI,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,0BAA0B,QAAQ,sBAAsB,eAAe,6BAA6B,2CAA2C,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,qBAAW,CAAC,EAAE,8FAA8F,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAY,CAAC,EAAE,+GAA+G,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,+TAA+T,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8CAA8C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,6BAAqCE,EAAEC,EAAE,CAAC,KAAK,+DAA+D,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,wBAAwB,CAAC,CAAC,CAAC,EAAE,ycAAoc,CAAC,CAAC,EAAeJ,EAAE,IAAI,CAAC,SAAS,CAAC,gGAAwGE,EAAEC,EAAE,CAAC,KAAK,2BAA2B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,CAAC,UAAU,WAAW,EAAE,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,sEAAsE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,MAAM,CAAC,0BAA0B,QAAQ,sBAAsB,eAAe,6BAA6B,2CAA2C,6BAA6B,MAAM,0BAA0B,MAAM,EAAE,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,aAAa,CAAC,EAAE,iNAAyNA,EAAEC,EAAE,CAAC,KAAK,oDAAoD,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,mDAAmD,CAAC,CAAC,CAAC,EAAE,kBAAkB,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAC,oEAA4EE,EAAEC,EAAE,CAAC,KAAK,oCAAoC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,mEAAmE,CAAC,CAAC,CAAC,EAAE,0FAA6FF,EAAEC,EAAE,CAAC,KAAK,8CAA8C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,2BAA2B,CAAC,CAAC,CAAC,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,kBAAkB,IAAI,MAAM,CAAC,qBAAqB,OAAO,0BAA0B,MAAM,uBAAuB,OAAO,0BAA0B,QAAQ,sBAAsB,6DAA6D,2BAA2B,OAAO,6BAA6B,2CAA2C,0BAA0B,MAAM,EAAE,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAC,kFAA0FE,EAAEC,EAAE,CAAC,KAAK,mCAAmC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,iGAAiG,CAAC,CAAC,CAAC,EAAE,2EAA8EF,EAAEC,EAAE,CAAC,KAAK,+CAA+C,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,4BAA4B,CAAC,CAAC,CAAC,EAAE,WAAW,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeU,EAAuBd,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,gIAA6IE,EAAE,SAAS,CAAC,SAAS,wBAAwB,CAAC,EAAE,0JAA0J,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qOAAgO,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,KAAkBE,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,EAAE,wXAA8W,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,+CAA+C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,wFAAgGE,EAAE,SAAS,CAAC,SAAS,uBAAuB,CAAC,EAAE,0DAAuEA,EAAE,SAAS,CAAC,SAAS,qBAAqB,CAAC,EAAE,iHAAiH,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4WAA8U,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,uUAAkU,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gCAAgC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,2RAA2R,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,0CAA0C,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,kRAAkR,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,kCAAkC,CAAC,EAAE,OAAoBA,EAAE,KAAK,CAAC,CAAC,EAAE,kXAAkX,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6CAA6C,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,MAAmBE,EAAE,SAAS,CAAC,SAAS,aAAa,CAAC,EAAE,8PAA8P,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gCAAgC,CAAC,EAAE,uIAAuI,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,0CAA0C,CAAC,EAAE,yJAAoJ,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,qDAAqD,CAAC,EAAE,qNAAgN,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,+DAA+D,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oHAAoH,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAsB,CAAC,EAAE,kIAAkI,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,+BAA+B,CAAC,EAAE,2JAA2J,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,gCAAgC,CAAC,EAAE,4IAA4I,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,+DAA+D,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,wdAAgeE,EAAEC,EAAE,CAAC,KAAK,2BAA2B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAsBF,EAAE,SAAS,CAAC,SAAS,iBAAiB,CAAC,CAAC,CAAC,CAAC,CAAC,EAAE,WAAW,CAAC,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,CAAC,UAAU,WAAW,EAAE,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAea,EAAuBf,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,0JAAkKE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,gGAAgG,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,oDAAoD,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,mTAAmT,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oNAA0M,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,yDAAsEE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,0CAA0C,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,4BAA4B,CAAC,EAAE,6BAA6B,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yBAAyB,CAAC,EAAE,gCAAgC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,oBAAoB,CAAC,EAAE,wEAAwE,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,iCAAiC,CAAC,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oRAA+Q,CAAC,EAAeA,EAAE,KAAK,CAAC,SAAsBA,EAAE,SAAS,CAAC,SAAS,mCAA8B,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,oEAA4EE,EAAE,SAAS,CAAC,SAAS,SAAS,CAAC,EAAE,2MAAsM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,oHAAiIE,EAAEC,EAAE,CAAC,KAAK,qCAAqC,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,oCAAoC,CAAC,CAAC,CAAC,EAAE,GAAG,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,wDAAwD,CAAC,EAAeA,EAAEC,EAAE,CAAC,KAAK,CAAC,UAAU,WAAW,EAAE,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,UAAU,eAAe,kBAAkB,MAAM,SAAsBF,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,KAAK,IAAI,uEAAuE,MAAM,CAAC,YAAY,WAAW,EAAE,MAAM,KAAK,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAec,EAAuBhB,EAAIC,EAAS,CAAC,SAAS,CAAcC,EAAE,IAAI,CAAC,SAAS,yVAAyV,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,6HAAwH,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,8PAA8P,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,uWAA6V,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4HAA4H,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,ydAA+c,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gNAA2M,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oHAA+G,CAAC,CAAC,CAAC,CAAC,EAAee,EAAwBjB,EAAIC,EAAS,CAAC,SAAS,CAAcD,EAAE,IAAI,CAAC,SAAS,CAAC,qEAAkFE,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,EAAE,0IAAuJA,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,mHAAyG,CAAC,CAAC,EAAeJ,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,KAAkBE,EAAE,SAAS,CAAC,SAAS,cAAc,CAAC,EAAE,+YAA+Y,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,gXAAgX,CAAC,EAAeA,EAAE,MAAM,CAAC,IAAI,GAAG,UAAU,eAAe,OAAO,MAAM,IAAI,sEAAsE,OAAO,oQAAoQ,MAAM,CAAC,YAAY,YAAY,EAAE,MAAM,KAAK,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,uCAAuC,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,8BAA2CE,EAAE,SAAS,CAAC,SAAS,+KAAqK,CAAC,EAAE,uOAAuO,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,qEAAqE,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,yCAAyC,CAAC,EAAE,oQAA+P,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,qCAAqC,CAAC,EAAE,+QAA+Q,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,iDAAiD,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,MAAmBE,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,0DAAuEF,EAAE,SAAS,CAAC,SAAS,uBAAuB,CAAC,EAAE,QAAqBA,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,yRAAyR,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,oCAAoC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,kFAAkF,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,qDAAqD,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBA,EAAE,IAAI,CAAC,SAAS,2HAA2H,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,kOAA+OE,EAAE,SAAS,CAAC,SAAS,uCAAuC,CAAC,EAAE,OAAO,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,sBAAsB,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeA,EAAE,IAAI,CAAC,SAAS,4HAAuH,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,iLAAiL,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,8BAA8B,CAAC,EAAE,kLAAkL,CAAC,CAAC,CAAC,CAAC,EAAeA,EAAE,KAAK,CAAC,kBAAkB,IAAI,SAAsBF,EAAE,IAAI,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,wCAAwC,CAAC,EAAE,iIAAiI,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,CAAC,EAAeF,EAAE,KAAK,CAAC,SAAS,CAAcE,EAAE,SAAS,CAAC,SAAS,6BAA6B,CAAC,EAAE,MAAM,CAAC,CAAC,EAAeF,EAAE,IAAI,CAAC,SAAS,CAAC,iDAA8DE,EAAEC,EAAE,CAAC,KAAK,+BAA+B,YAAY,GAAG,OAAO,YAAY,aAAa,GAAG,QAAQ,oBAAoB,aAAa,GAAG,SAAsBD,EAAEE,EAAE,EAAE,CAAC,SAAS,aAAa,CAAC,CAAC,CAAC,EAAE,wfAAmf,CAAC,CAAC,CAAC,CAAC,CAAC,EAC9s1Ec,EAAqB,CAAC,QAAU,CAAC,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,SAAW,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,WAAa,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,UAAY,CAAC,KAAO,WAAW,YAAc,CAAC,sBAAwB,GAAG,CAAC,EAAE,mBAAqB,CAAC,KAAO,UAAU,CAAC,CAAC",
  "names": ["richText", "u", "x", "p", "Link", "motion", "richText1", "ComponentPresetsConsumer", "i", "Youtube", "richText2", "richText3", "richText4", "richText5", "richText6", "richText7", "richText8", "richText9", "richText10", "__FramerMetadata__"]
}