{"id":18196,"date":"2026-01-19T10:37:36","date_gmt":"2026-01-19T07:37:36","guid":{"rendered":"https:\/\/hqsoftwarelab.com\/?post_type=portfolio&#038;p=18196"},"modified":"2026-01-22T09:52:23","modified_gmt":"2026-01-22T06:52:23","slug":"ai-powered-predictive-maintenance-and-esg-analytics","status":"publish","type":"portfolio","link":"https:\/\/hqsoftwarelab.com\/portfolio\/ai-powered-predictive-maintenance-and-esg-analytics\/","title":{"rendered":"AI-Powered Predictive Maintenance and ESG Analytics: 45% Reduction in Equipment Downtime"},"content":{"rendered":"\n<section class=\"section-highlights\">\n        <div class=\"container-middle\">\n            <h2 class=\"title-highlights\">Highlights<\/h2>\n            <div class=\"container-highlights\">\n                <div class=\"column-highlights\">\n                    <div class=\"line-highlights\">\n                        <div class=\"line-1\"><\/div>\n                        <div class=\"line-2\"><\/div>\n                        <h2 class=\"column-title-highlights\">Need<\/h2>\n                    <\/div>\n                    <p class=\"text-highlights\">To predict equipment failures and automate environmental, social, and governance (ESG) reporting in real time without disrupting operations\r\n<\/p>\n                <\/div>\n                <div class=\"column-highlights\">\n                    <div class=\"line-highlights\">\n                        <div class=\"line-1\"><\/div>\n                        <div class=\"line-2\"><\/div>\n                        <h2 class=\"column-title-highlights\">Solution<\/h2>\n                    <\/div>\n                    <p class=\"text-highlights\">Artificial Intelligence (AI) &ndash; powered predictive maintenance and automated ESG analytics platform<\/p>\n                <\/div>\n                <div class=\"column-highlights\">\n                    <div class=\"line-highlights\">\n                        <div class=\"line-1\"><\/div>\n                        <div class=\"line-2\"><\/div>\n                        <h2 class=\"column-title-highlights\">Technologies<\/h2>\n                    <\/div>\n                                            <a class=\"link-highlights\" href=\"https:\/\/hqsoftwarelab.com\/technologies_taxonomy\/docker\/\">Docker<\/a>\n                                            <a class=\"link-highlights\" href=\"https:\/\/hqsoftwarelab.com\/technologies_taxonomy\/python-web-development\/\">Python<\/a>\n                                            <a class=\"link-highlights\" href=\"https:\/\/hqsoftwarelab.com\/technologies_taxonomy\/azure-functions\/\">Azure Functions<\/a>\n                                            <a class=\"link-highlights\" href=\"https:\/\/hqsoftwarelab.com\/technologies_taxonomy\/tensorflow-js\/\">TensorFlow.js<\/a>\n                                    <\/div>\n            <\/div>\n        <\/div>\n    <\/section>\n\n\n\n<section class=\"section text-block-portfolio\">\n    <div class=\"container container-small\">\n        <p class=\"main-title-portfolio\"><\/p>\n        <div class=\"container-portfolio\">\n            <div class=\"column-portfolio\">\n                <div class=\"triangle-portfolio\"><\/div>\n                <div>\n                    <p class=\"title-portfolio\">45%<\/p>\n                    <p class=\"text-portfolio\">reduction in equipment downtime<\/p>\n                <\/div>\n            <\/div>\n            <div class=\"column-portfolio\">\n                <div class=\"triangle-portfolio\"><\/div>\n                <div>\n                    <p class=\"title-portfolio\">8%<\/p>\n                    <p class=\"text-portfolio\">reduction in energy consumption<\/p>\n                <\/div>\n            <\/div>\n        <\/div>\n                    <div class=\"container-portfolio\">\n                <div class=\"column-portfolio\">\n                    <div class=\"triangle-portfolio\"><\/div>\n                    <div>\n                        <p class=\"title-portfolio\">3.5X<\/p>\n                        <p class=\"text-portfolio\">ROI in six months<\/p>\n                    <\/div>\n                <\/div>\n                <div class=\"column-portfolio\">\n                    <div class=\"triangle-portfolio\"><\/div>\n                    <div>\n                        <p class=\"title-portfolio\">Fully automated<\/p>\n                        <p class=\"text-portfolio\">ESG report generation<\/p>\n                    <\/div>\n                <\/div>\n            <\/div>\n            <\/div>\n<\/section>\n\n\n<section class=\"section text-block\">\r\n      <div class=\"container container-small\">\r\n        <h2>Results<\/h2>\n<p><span style=\"font-weight: 400\">Together with HQSoftware, our client developed a comprehensive predictive maintenance system that integrates real-time industrial data, Machine Learning (ML), and generative AI to enable proactive equipment management and automated ESG reporting. For our client, this solution transformed their manufacturing operations: no longer reacting to breakdowns, they now anticipate them.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400\">The AI-powered platform enables proactive maintenance through early failure predictions. ESG reports, once manually compiled over days, are now automated and error-free, generated in hours.<\/span><\/p>\n<p><span style=\"font-weight: 400\">All production data from supervisory control and data acquisition<\/span> <span style=\"font-weight: 400\">(SCADA), enterprise resource planning (ERP) systems, and sensors is unified in Power BI dashboards, delivering real-time insights with AI-powered explanations.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400\">Maintenance is now smarter, operations are more efficient, and ESG compliance has become a strategic advantage. Automated, reliable data empowers leadership to make faster, insight-driven decisions, turning sustainability and operational excellence into competitive strengths.<\/span><\/p>\n<h2>Customer<\/h2>\n<p><span style=\"font-weight: 400\">The client is a mid-sized Swiss manufacturer of precision engineering components. Like many in the industry, they faced frequent unplanned equipment breakdowns, causing production delays, higher costs, and missed deliveries. At the same time, collecting data for ESG reporting was slow and manual. So, engineers spent days each quarter pulling information from different systems into Excel spreadsheets.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400\">Looking to boost efficiency and meet sustainability goals, they needed a smart, integrated solution to predict maintenance needs and automate ESG reporting without disrupting daily operations.<\/span><\/p>\n<style>\n    .portfolioSwiper-image {\n        object-fit: cover;\n        display: block;\n        margin-left: auto;\n        margin-right: auto;\n        \/*height: 100%;*\/\n    }\n    @media (max-width: 767px) {\n        .portfolioSwiper-image {\n            object-fit: cover;\n            display: block;\n            margin-left: auto;\n            margin-right: auto;\n            \/*height: 100%;*\/\n        }\n    }\n<\/style>\n<div class=\"swiper portfolioSwiper\" style=\"max-width: unset;\">\n    <div class=\"swiper-wrapper\">\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/photo_2025-09-19_10-02-31.jpg\" alt=\"photo 2025 09 19 10 02 31 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div class=\"sas\">\n                <img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/1_240827.jpg\" alt=\"1 240827 -\" title=\"\">\n            <\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/2_240724.jpg\" alt=\"2 240724 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/3_240125.jpg\" alt=\"3 240125 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/4_230616.jpg\" alt=\"4 230616 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/5_220815.jpg\" alt=\"5 220815 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/6_210625.jpg\" alt=\"6 210625 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n        <div class=\"swiper-slide\">\n            <div><img decoding=\"async\" class=\"portfolioSwiper-image\" loading=\"eager\" src=\"\/wp-content\/themes\/hq\/images\/7_210618.jpg\" alt=\"7 210618 -\" title=\"\"><\/div>\n            <div class=\"swiper-slide-text\">\n            <\/div>\n        <\/div>\n    <\/div>\n    <div class=\"swiper-pagination\"><\/div>\n<\/div>\n<h2>Solution<\/h2>\n<p><span style=\"font-weight: 400\">To address the client&rsquo;s critical challenges, HQSoftware implemented a comprehensive, AI-driven solution that intelligently addresses both operational reliability and sustainability reporting.<\/span><\/p>\n<p><span style=\"font-weight: 400\">At its core is a sophisticated AI model that continuously monitors critical equipment parameters. By analyzing vibration and temperature data streamed every 5 seconds from machines across the plant, the model is adept at recognizing subtle patterns that precede potential failures. This proactive approach allows the system to generate highly accurate alerts, notifying engineers up to seven days in advance of a probable breakdown.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Crucially, this same integrated system simultaneously streamlines the client&rsquo;s ESG reporting. It automatically collects and aggregates vital data points, including energy consumption and equipment efficiency, to generate comprehensive and compliant ESG reports, eliminating the previous manual burden.<\/span><\/p>\n<p><span style=\"font-weight: 400\">The resulting solution is a central intelligence hub that seamlessly integrates data from all critical production systems, including SCADA, ERP, and a network of IoT sensors. All this aggregated information is then visualized in an intuitive Power BI dashboard, providing a holistic view of operations and sustainability metrics.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-18197 size-large aligncenter\" src=\"\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard-1024x683.png\" alt=\"Predictive maintenance dashboard 1024x683 -\" width=\"1024\" height=\"683\" title=\"\" srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard-1024x683.png 1024w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard-300x200.png 300w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard-768x512.png 768w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard-353x235.png 353w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Predictive-maintenance-dashboard.png 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"><\/p>\n<p><span style=\"font-weight: 400\">Beyond raw data, the AI provides actionable insights. Instead of just numbers, engineers receive clear explanations, such as: &ldquo;The increase in vibration on line #3 is associated with bearing wear, failure is possible in 5&ndash;7 days.&rdquo; This intelligent interpretation drastically reduces the time spent on analysis. Whereas the team previously dedicated days to manual data sifting and report generation, the new system now delivers specific maintenance recommendations and management-ready reports in a matter of hours.<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-18198 size-large\" src=\"\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard-1024x683.png\" alt=\"Engineering workflow dashboard 1024x683 -\" width=\"1024\" height=\"683\" title=\"\" srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard-1024x683.png 1024w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard-300x200.png 300w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard-768x512.png 768w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard-353x235.png 353w, https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2026\/01\/Engineering-workflow-dashboard.png 1536w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"><\/p>\n<h2><b>Technical Architecture<\/b><\/h2>\n<p><span style=\"font-weight: 400\">The architecture is modular, scalable, and designed for low-latency decision-making in manufacturing environments. The solution consists of four primary, interconnected components.<\/span><\/p>\n<h3><b>1. Data Ingestion and Processing Layer<\/b><\/h3>\n<p><span style=\"font-weight: 400\">This handles real-time sensor data streaming, cleaning, and aggregation. The foundation is a data pipeline that efficiently handles high-velocity sensor data. Utilizing Azure IoT Hub, it streams vibration and temperature data every 5 seconds directly from SCADA and programmable logic controller (PLC) sensors on production machines. A Python-based pipeline then consumes this raw stream, performing essential cleaning and aggregation of the time-series data to ensure quality and prepare it for subsequent analytical stages.<\/span><\/p>\n<h3><b>2. Machine Learning Core<\/b><\/h3>\n<p><span style=\"font-weight: 400\">ML trains and deploys predictive models for equipment failure. The core intelligence of the platform resides in its ML predictive maintenance model, powered by TensorFlow (time-series models, anomaly detection + supervised hybrid). This model is meticulously trained on extensive historical failure data, enabling it to accurately identify patterns indicative of impending breakdowns.&nbsp;<\/span><\/p>\n<p><span style=\"font-weight: 400\">Once deployed, it continuously analyzes the cleaned, real-time data from the pipeline, predicting the likelihood of equipment failure up to 7 days in advance. Crucially, if the calculated probability of failure for any machine exceeds an 80% threshold, the system automatically triggers and dispatches immediate notifications to relevant engineers.<\/span><\/p>\n<blockquote class=\"blockquote-bg\" style=\"background-image: url('\/wp-content\/themes\/hq\/images\/11.svg');color: white; background-repeat: no-repeat;background-size: cover;\">\n    <div class=\"row flex-column-reverse flex-md-row\">\n        <div class=\"col-md-4 mb-3\">\n            <p><img decoding=\"async\" style=\"max-width: 50%;\" src=\"\/wp-content\/themes\/hq\/images\/Vika%20Rokash-photoaidcom-cropped.png\" alt=\"Vika Rokash photoaidcom cropped -\" title=\"\"><\/p>\n        <\/div>\n        <div class=\"col-md-8 mb-4 mb-md-4 pl-md-5 d-flex flex-column justify-content-between\">\n            <div class=\"h3\">Looking for similar solutions or something unique to your needs?<\/div>\n            <p>Contact us today! We&rsquo;re happy to explore your needs!<\/p>\n        <\/div>\n    <\/div>\n    <div class=\"row\">\n        <div class=\"col-md-4\">\n            <p>\n                <strong>Victoria Rokash<\/strong><br>\n                Business Development Manager\n            <\/p>\n        <\/div>\n        <div class=\"col-md-8 d-flex align-items-end mt-4 mt-md-0 pl-md-5\">\n            <a class=\"btn btn-primary btn-view-all prototype-btn-text\" href=\"\/contact-us\/\">Get in touch<\/a>\n        <\/div>\n    <\/div>\n<\/blockquote>\n<h3><b>3. The Reporting and Analytics Layer<\/b><\/h3>\n<p><span style=\"font-weight: 400\">This feature provides business intelligence for ESG metrics and equipment efficiency. Beyond predictive maintenance, the platform offers comprehensive reporting and analytics through an ESG dashboard. This platform, built with Power BI and backed by Azure SQL, leverages the same rich data collected from the production machines. It automatically generates detailed ESG reports that provide crucial insights into operational efficiency by calculating energy consumption, CO&#8322; emissions, and Overall Equipment Effectiveness (OEE). This allows the company to monitor both performance and sustainability metrics effectively.<\/span><\/p>\n<h3><b>4. Intelligent User Interaction Layer<\/b><\/h3>\n<p><span style=\"font-weight: 400\">This layer offers AI-powered explanations and recommendations to engineers. To empower workers with actionable intelligence, the solution includes an AI Copilot, implemented as a Large Language Model (LLM). This copilot acts as an intelligent assistant, interpreting the ML model&rsquo;s predictions. When a failure is predicted, the LLM interprets model outputs by comparing them with historical patterns and engineering rules to generate human-readable explanations and recommendations: &ldquo;The probable cause is bearing wear, zone No. 3.&rdquo; This dramatically enhances the engineers&rsquo; ability to diagnose and proactively address potential issues.<\/span><\/p>\n<h2>Team<\/h2>\n<ul>\n<li><span style=\"font-weight: 400\">2 back-end developers<\/span><\/li>\n<li><span style=\"font-weight: 400\">1 ML engineer<\/span><\/li>\n<li><span style=\"font-weight: 400\">1 front-end developer<\/span><\/li>\n<li><span style=\"font-weight: 400\">1 QA engineer<\/span><\/li>\n<li>1 <span style=\"font-weight: 400\">project manager<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">Learn more about our <\/span><a href=\"\/solutions\/data-analytics\/artificial-intelligence\/\"><span style=\"font-weight: 400\">AI development services<\/span><\/a><span style=\"font-weight: 400\">.<\/span><\/p>\n      <\/div>\r\n    <\/section>\n\n\r\n<section class=\"section-news\">\r\n      <div class=\"container\">\r\n        <div class=\"section-top text-center\">\r\n          <h2 class=\"h2 section-title\">Check Out Other Works<\/h2>\r\n          <p>See How We Approach Business Objectives\r\n\r\n<\/p>\r\n        <\/div>\r\n        <div class=\"row section-news-row\">\r\n\r\n\r\n      <div class=\"col-md-4 section-news-item\">\r\n          <div class=\"section-news-item__inner \">\r\n              <a href=\"https:\/\/hqsoftwarelab.com\/portfolio\/ai-powered-chatbot-for-a-medical-clinic\/\" class=\"section-news-item__link\"><\/a>\r\n              <div class=\"section-news-item__img\">\r\n                  <img decoding=\"async\" src=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2024\/08\/Banner.-AI-Powered-Chatbot-for-a-Medical-Clinic_-35-Reduction-in-Call-Volume-353x235.png\" loading=\"lazy\" data-srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2024\/08\/Banner.-AI-Powered-Chatbot-for-a-Medical-Clinic_-35-Reduction-in-Call-Volume-726x482.png 2x\" alt=\"Banner. AI Powered Chatbot for a Medical Clinic  35 Reduction in Call Volume 353x235 -\" title=\"\">\r\n              <\/div>\r\n              <div class=\"section-news-item__top\">\r\n                  <div class=\"section-news-item__top-left\">\r\n                      <a href=\"https:\/\/hqsoftwarelab.com\/industry\/healthcare\/\" class=\"section-news-item__category\">Healthcare<\/a>\r\n                  <\/div>\r\n                  <span class=\"section-news-item__readmore hq-readmore icon-arrow-right-i\"><\/span>\r\n              <\/div>\r\n              <div class=\"h3 section-news-item__bottom\">AI-Powered Chatbot for a Medical Clinic: 35% Reduction in Call Volume<\/div>\r\n          <\/div>\r\n      <\/div>\r\n\r\n      \r\n      <div class=\"col-md-4 section-news-item\">\r\n          <div class=\"section-news-item__inner \">\r\n              <a href=\"https:\/\/hqsoftwarelab.com\/portfolio\/ai-voice-assistant-for-a-medical-center\/\" class=\"section-news-item__link\"><\/a>\r\n              <div class=\"section-news-item__img\">\r\n                  <img decoding=\"async\" src=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2025\/11\/Banner_-AI-Voice-Assistant-for-a-Medical-Center-353x235.png\" loading=\"lazy\" data-srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2025\/11\/Banner_-AI-Voice-Assistant-for-a-Medical-Center-726x482.png 2x\" alt=\"Banner  AI Voice Assistant for a Medical Center 353x235 -\" title=\"\">\r\n              <\/div>\r\n              <div class=\"section-news-item__top\">\r\n                  <div class=\"section-news-item__top-left\">\r\n                      <a href=\"https:\/\/hqsoftwarelab.com\/industry\/healthcare\/\" class=\"section-news-item__category\">Healthcare<\/a>\r\n                  <\/div>\r\n                  <span class=\"section-news-item__readmore hq-readmore icon-arrow-right-i\"><\/span>\r\n              <\/div>\r\n              <div class=\"h3 section-news-item__bottom\">AI Voice Assistant for a Medical Center<\/div>\r\n          <\/div>\r\n      <\/div>\r\n\r\n      \r\n      <div class=\"col-md-4 section-news-item\">\r\n          <div class=\"section-news-item__inner \">\r\n              <a href=\"https:\/\/hqsoftwarelab.com\/portfolio\/automating-profitability-assessments-for-smarter-business-decisions\/\" class=\"section-news-item__link\"><\/a>\r\n              <div class=\"section-news-item__img\">\r\n                  <img decoding=\"async\" src=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2025\/04\/Banner.-Automating-business-profitability-assessment-353x235.png\" loading=\"lazy\" data-srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2025\/04\/Banner.-Automating-business-profitability-assessment-726x482.png 2x\" alt=\"Banner. 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Complete this form, and receive a free personalized proposal from your dedicated manager.<\/p>\r\n\r\n                            <div class=\"seo-block__image\">\r\n                    <img decoding=\"async\" src=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2020\/01\/ava1@2.jpg\" loading=\"lazy\" data-srcset=\"https:\/\/hqsoftwarelab.com\/wp-content\/uploads\/2020\/01\/ava1@2.jpg 2x\" alt=\"ava1@2 -\" title=\"\">\r\n                <\/div>\r\n                <p class=\"seo-block__name\">Sergei Vardomatski<\/p>\r\n                <p class=\"seo-block__position\">Founder<\/p>\r\n            \r\n        <\/div>\r\n      <\/div>\r\n    <\/div>\r\n  <\/div>\r\n<\/section>\n\n\n\n\n<p><\/p>\n\n","protected":false},"template":"","meta":{"_acf_changed":true},"industry":[225],"technologies_taxonomy":[58,84,130,310],"class_list":["post-18196","portfolio","type-portfolio","status-publish","hentry","industry-ai-ml","technologies_taxonomy-docker","technologies_taxonomy-python-web-development","technologies_taxonomy-azure-functions","technologies_taxonomy-tensorflow-js"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v22.3 (Yoast SEO v26.7) - 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