{"id":8774,"date":"2025-09-23T15:43:52","date_gmt":"2025-09-23T21:43:52","guid":{"rendered":"https:\/\/verolyze.com\/?page_id=8774"},"modified":"2026-04-27T10:40:35","modified_gmt":"2026-04-27T16:40:35","slug":"technology","status":"publish","type":"page","link":"https:\/\/verolyze.com\/es\/technology\/","title":{"rendered":"Tecnolog\u00eda"},"content":{"rendered":"<div style=\"font-family: Segoe UI, Arial, sans-serif; color:#07172c; background:#ffffff; overflow:hidden; position:relative; left:50%; width:100vw; max-width:100vw; margin-left:-50vw; box-sizing:border-box;\">\n<style>\n    #masthead,.site-header,.main-header-bar,.ast-primary-header-bar,.ast-mobile-header-wrap,.ast-above-header-wrap,.ast-below-header-wrap,.entry-header,.entry-title,.page-title,.post-title{display:none!important;}\n    .site-content,.content-area,.site-main,.entry-content{margin-top:0!important;padding-top:0!important;}\n    .ast-separate-container .ast-article-single{padding-top:0!important;padding-left:0!important;padding-right:0!important;}\n    .site-content .ast-container{max-width:100%!important;padding-left:0!important;padding-right:0!important;}\n    .verolyze-site-header{position:relative; 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color:#fff!important;}\n    html[lang^=\"es\"] .vr-en{display:none!important;}\n    html:not([lang^=\"es\"]) .vr-es{display:none!important;}\n    @media (max-width:1024px){.verolyze-site-header__inner{width:min(100% - 36px,1180px); gap:18px;}.verolyze-main-nav a{padding:0 10px; font-size:14px;}.verolyze-header-cta{padding:0 14px;}}\n    @media (max-width:820px){.verolyze-site-header__inner{min-height:auto; padding:14px 0 12px; align-items:stretch; justify-content:flex-start; flex-direction:column; gap:12px;}.verolyze-brand img{width:178px;}.verolyze-header-cluster{align-items:stretch; justify-content:flex-start; flex-direction:column; gap:10px;}.verolyze-main-nav{display:flex; gap:8px; overflow-x:auto; padding:0 0 4px; scrollbar-width:none;}.verolyze-main-nav::-webkit-scrollbar{display:none;}.verolyze-main-nav a{flex:0 0 auto; min-height:40px; border:1px solid rgba(0,27,61,.1); padding:0 12px;}.verolyze-header-actions{justify-content:flex-start;}.verolyze-header-cta{min-width:168px; flex:0 0 auto;}}\n    @media (max-width:520px){.verolyze-site-header__inner{width:min(100% - 28px,1180px);}.verolyze-main-nav{gap:6px;}.verolyze-main-nav a{min-height:38px; padding:0 8px; font-size:13px;}.verolyze-header-actions{gap:8px;}.verolyze-header-cta{min-width:0; flex:1 1 auto;}.verolyze-site-header .verolyze-lang-switcher{flex:0 0 auto;}}\n  <\/style>\n<header class=\"verolyze-site-header\" data-no-translation>\n<div class=\"verolyze-site-header__inner\">\n      <a class=\"verolyze-brand\" href=\"https:\/\/verolyze.com\/\" aria-label=\"Verolyze Home\"><img decoding=\"async\" src=\"https:\/\/verolyze.com\/wp-content\/uploads\/2025\/08\/Verolyze-4-3-300x93.webp\" alt=\"Verolyze\"><\/a><\/p>\n<div class=\"verolyze-header-cluster\">\n<nav class=\"verolyze-main-nav\" aria-label=\"Verolyze site pages\">\n          <a href=\"https:\/\/verolyze.com\/\"><span class=\"vr-en\">Home<\/span><span class=\"vr-es\">Inicio<\/span><\/a><br \/>\n          <a href=\"https:\/\/verolyze.com\/technology\/\" aria-current=\"page\"><span class=\"vr-en\">Technology<\/span><span class=\"vr-es\">Tecnolog\u00eda<\/span><\/a><br \/>\n          <a href=\"https:\/\/verolyze.com\/plans\/\"><span class=\"vr-en\">Plans<\/span><span class=\"vr-es\">Planes<\/span><\/a><br \/>\n          <a href=\"https:\/\/verolyze.com\/home\/contact\/\"><span class=\"vr-en\">Contact<\/span><span class=\"vr-es\">Contacto<\/span><\/a><br \/>\n          <a href=\"https:\/\/verolyze.com\/privacy-policy\/\"><span class=\"vr-en\">Privacy<\/span><span class=\"vr-es\">Privacidad<\/span><\/a><br \/>\n        <\/nav>\n<div class=\"verolyze-header-actions\">\n          <a class=\"verolyze-header-cta\" href=\"https:\/\/verolyze.com\/home\/contact\/\"><span class=\"vr-en\">Book a demo<\/span><span class=\"vr-es\">Solicitar demo<\/span><\/a><\/p>\n<div class=\"verolyze-lang-switcher\">\n            <a class=\"vr-lang-en\" href=\"https:\/\/verolyze.com\/technology\/?v=20260427-langfix\">EN<\/a><br \/>\n            <a class=\"vr-lang-es\" href=\"https:\/\/verolyze.com\/es\/technology\/?v=20260427-langfix\">ES<\/a>\n          <\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/header>\n<section style=\"display:flex; flex-wrap:wrap; min-height:720px; background:#001b3d;\">\n<div style=\"flex:1 1 360px; max-width:100%; min-height:500px; position:relative; background:linear-gradient(rgba(0,27,61,.08), rgba(0,27,61,.58)), url('https:\/\/verolyze.com\/wp-content\/uploads\/2026\/04\/verolyze-technology-v2-vertical.jpg') center\/cover no-repeat; box-sizing:border-box;\"><\/div>\n<div style=\"flex:1.35 1 280px; min-width:0; max-width:100%; padding:72px 42px; background:linear-gradient(135deg,#001b3d,#003253); color:#fff; box-sizing:border-box;\">\n<p style=\"margin:0 0 14px; color:#ffcf00; font-size:12px; font-weight:900; letter-spacing:.13em; text-transform:uppercase;\">Technology<\/p>\n<h1 style=\"width:100%; max-width:760px; margin:0; color:#fff; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:36px; line-height:1.12; font-weight:900; letter-spacing:0; overflow-wrap:break-word;\">Specialized agents powered by <span style=\"color:#ffcf00;\">advanced ML.<\/span><\/h1>\n<p style=\"width:100%; max-width:720px; margin:22px 0 0; color:rgba(255,255,255,.82); font-size:20px; line-height:1.65; overflow-wrap:break-word;\">Verolyze connects plant data, predictive models, expert reliability logic, and AI-assisted reasoning so teams move from raw signals to approved operational actions.<\/p>\n<div style=\"display:flex; flex-wrap:wrap; gap:12px; margin-top:32px;\"><a href=\"\/home\/contact\/\" style=\"display:inline-flex; min-height:52px; align-items:center; justify-content:center; padding:0 24px; border-radius:8px; background:#efac18; color:#001b3d; font-weight:900; text-decoration:none;\">Request a Demo<\/a><a href=\"\/plans\/\" style=\"display:inline-flex; min-height:52px; align-items:center; justify-content:center; padding:0 24px; border:1px solid rgba(255,255,255,.32); border-radius:8px; color:#fff; font-weight:900; text-decoration:none;\">View Service Models<\/a><\/div>\n<div style=\"width:100%; max-width:780px; margin-top:42px; overflow:hidden; border-radius:8px; background:#fff; box-shadow:0 24px 62px rgba(0,0,0,.28); color:#07172c;\">\n<div style=\"display:flex; flex-wrap:wrap; justify-content:space-between; gap:12px; padding:16px 18px; border-bottom:1px solid rgba(0,27,61,.14);\"><strong style=\"color:#001b3d; font-size:13px; letter-spacing:.08em; text-transform:uppercase;\">Agentic ML operating stack<\/strong><span style=\"color:#5f6773; font-weight:800; overflow-wrap:break-word;\">\u25cf From signal to action<\/span><\/div>\n<div style=\"display:flex; flex-wrap:wrap;\">\n<div style=\"flex:1.05 1 290px; max-width:100%; padding:18px; background:#eef2f4; box-sizing:border-box;\">\n<div style=\"display:grid; gap:10px;\">\n<div style=\"display:flex; gap:12px; align-items:center; padding:14px; border-radius:8px; background:#fff; border:1px solid rgba(0,27,61,.12);\"><b style=\"display:inline-flex; width:38px; height:38px; align-items:center; justify-content:center; border-radius:8px; background:#001b3d; color:#fff;\">01<\/b><span><strong style=\"display:block; color:#001b3d;\">Data foundation<\/strong><small style=\"color:#5f6773;\">SCADA, alarms, events, meters, maintenance and weather context.<\/small><\/span><\/div>\n<div style=\"display:flex; gap:12px; align-items:center; padding:14px; border-radius:8px; background:#fff; border:1px solid rgba(0,27,61,.12);\"><b style=\"display:inline-flex; width:38px; height:38px; align-items:center; justify-content:center; border-radius:8px; background:#001b3d; color:#fff;\">02<\/b><span><strong style=\"display:block; color:#001b3d;\">Predictive ML models<\/strong><small style=\"color:#5f6773;\">Thermal drift, peer deviation, anomaly progression and failure indicators.<\/small><\/span><\/div>\n<div style=\"display:flex; gap:12px; align-items:center; padding:14px; border-radius:8px; background:#fff; border:1px solid rgba(0,27,61,.12);\"><b style=\"display:inline-flex; width:38px; height:38px; align-items:center; justify-content:center; border-radius:8px; background:#efac18; color:#001b3d;\">03<\/b><span><strong style=\"display:block; color:#001b3d;\">Reliability agents<\/strong><small style=\"color:#5f6773;\">Explain risk, collect evidence, recommend next action and create review notes.<\/small><\/span><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<div style=\"flex:1 1 280px; max-width:100%; padding:18px; background:#fff; box-sizing:border-box;\">\n<div style=\"padding:18px; border-radius:8px; border:1px solid rgba(0,27,61,.14); background:linear-gradient(180deg,#fff,#f7fafb);\">\n              <strong style=\"display:block; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:22px;\">Agent action example<\/strong><\/p>\n<p style=\"margin:8px 0 16px; color:#5f6773; line-height:1.5;\">A specialized agent reviews model evidence and prepares an action packet for the reliability team.<\/p>\n<div style=\"display:grid; gap:10px;\">\n<div style=\"display:flex; justify-content:space-between; gap:12px; padding:12px; border-radius:8px; background:#f4f7f6;\"><span style=\"font-weight:900; color:#5f6773;\">Risk class<\/span><b style=\"color:#bf0909;\">Thermal<\/b><\/div>\n<div style=\"display:flex; justify-content:space-between; gap:12px; padding:12px; border-radius:8px; background:#f4f7f6;\"><span style=\"font-weight:900; color:#5f6773;\">Model confidence<\/span><b style=\"color:#001b3d;\">91%<\/b><\/div>\n<div style=\"display:flex; justify-content:space-between; gap:12px; padding:12px; border-radius:8px; background:#f4f7f6;\"><span style=\"font-weight:900; color:#5f6773;\">Next step<\/span><b style=\"color:#038d00;\">Approve<\/b><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/section>\n<section style=\"padding:86px 0; background:#ffffff;\">\n<div style=\"width:min(100% - 48px,1180px); margin:auto; display:flex; flex-wrap:wrap; gap:42px; align-items:center;\">\n<div style=\"flex:1 1 420px;\">\n<p style=\"margin:0 0 14px; color:#efac18; font-size:12px; font-weight:900; letter-spacing:.13em; text-transform:uppercase;\">Agentic architecture<\/p>\n<h2 style=\"margin:0; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:34px; line-height:1.16; font-weight:900; overflow-wrap:break-word;\">AI agents on top of operational intelligence, not beside it.<\/h2>\n<p style=\"margin:18px 0 0; color:#5f6773; font-size:18px; line-height:1.65;\">The agent layer uses the same telemetry, model outputs and expert reliability context to move from detection to recommended action.<\/p>\n<div style=\"margin-top:28px; border-radius:8px; overflow:hidden; border:1px solid rgba(0,27,61,.14); box-shadow:0 18px 50px rgba(0,27,61,.10); background:#f4f7f6;\"><img decoding=\"async\" src=\"https:\/\/verolyze.com\/wp-content\/uploads\/2026\/04\/verolyze-agent-report-documents.jpg\" alt=\"AI reliability agent report across laptop and mobile\" style=\"display:block; width:100%; height:auto;\"><\/div>\n<\/div>\n<div style=\"flex:1 1 420px; display:grid; gap:12px;\">\n<details open style=\"border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#f4f7f6;\">\n<summary style=\"cursor:pointer; padding:18px 20px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-weight:900;\">Observe<\/summary>\n<p style=\"padding:0 20px 20px; margin:0; color:#5f6773; line-height:1.6;\">Normalize SCADA, alarms, events, meters and maintenance states into a reliability-ready data foundation.<\/p>\n<\/details>\n<details style=\"border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#f4f7f6;\">\n<summary style=\"cursor:pointer; padding:18px 20px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-weight:900;\">Reason<\/summary>\n<p style=\"padding:0 20px 20px; margin:0; color:#5f6773; line-height:1.6;\">Combine predictive models, peer comparison and expert rules to explain why a signal matters.<\/p>\n<\/details>\n<details style=\"border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#f4f7f6;\">\n<summary style=\"cursor:pointer; padding:18px 20px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-weight:900;\">Act<\/summary>\n<p style=\"padding:0 20px 20px; margin:0; color:#5f6773; line-height:1.6;\">Create an action queue, suggested inspections and reporting notes for the reliability team.<\/p>\n<\/details>\n<\/div>\n<\/div>\n<\/section>\n<section style=\"padding:96px 0; background:linear-gradient(180deg,#f4f7f6,#fff);\">\n<div style=\"width:min(100% - 48px,1180px); margin:auto; display:flex; flex-wrap:wrap; gap:42px; align-items:center;\">\n<div style=\"flex:1 1 390px;\">\n<p style=\"margin:0 0 14px; color:#efac18; font-size:12px; font-weight:900; letter-spacing:.13em; text-transform:uppercase;\"><span class=\"vr-en\" data-no-translation>Model evidence<\/span><span class=\"vr-es\" data-no-translation>Evidencia del modelo<\/span><\/p>\n<h2 style=\"margin:0; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:34px; line-height:1.16; font-weight:900; overflow-wrap:break-word;\"><span class=\"vr-en\" data-no-translation>Models that reveal abnormal behavior before it becomes failure.<\/span><span class=\"vr-es\" data-no-translation>Modelos que revelan comportamiento anormal antes de que se convierta en falla.<\/span><\/h2>\n<p style=\"margin:18px 0 0; color:#5f6773; font-size:18px; line-height:1.65;\"><span class=\"vr-en\" data-no-translation>Predictive models compare expected behavior against actual operating conditions, flag drift, and help teams intervene before risk escalates.<\/span><span class=\"vr-es\" data-no-translation>Los modelos predictivos comparan el comportamiento esperado contra las condiciones reales de operaci\u00f3n, detectan desviaciones y ayudan a los equipos a intervenir antes de que el riesgo escale.<\/span><\/p>\n<\/div>\n<div style=\"flex:1.35 1 520px; border-radius:8px; overflow:hidden; border:1px solid rgba(0,27,61,.14); background:#fff; box-shadow:0 22px 60px rgba(0,27,61,.12);\"><img decoding=\"async\" src=\"https:\/\/verolyze.com\/wp-content\/uploads\/2026\/04\/verolyze-ml-model-temperature-risk.jpg\" alt=\"Predicted versus actual temperature model and MAPE by time period\" style=\"display:block; width:100%; height:auto;\"><\/div>\n<\/div>\n<\/section>\n<section style=\"padding:96px 0; background:#fff;\">\n<div style=\"width:min(100% - 48px,1180px); margin:auto;\">\n<div style=\"max-width:820px; margin:0 auto 42px; text-align:center;\">\n<p style=\"margin:0 0 14px; color:#efac18; font-size:12px; font-weight:900; letter-spacing:.13em; text-transform:uppercase;\">Platform layers<\/p>\n<h2 style=\"margin:0; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:34px; line-height:1.16; font-weight:900; overflow-wrap:break-word;\">Explore the intelligence pipeline.<\/h2>\n<p style=\"margin:18px 0 0; color:#5f6773; font-size:18px; line-height:1.65;\">Each layer preserves context and makes the next operational decision easier.<\/p>\n<\/div>\n<div style=\"display:flex; flex-wrap:wrap; gap:18px;\">\n<article style=\"flex:1 1 250px; padding:26px; border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#fff;\">\n<h3 style=\"margin:0 0 12px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:24px;\">Data Foundation<\/h3>\n<p style=\"margin:0; color:#5f6773; line-height:1.62;\">Telemetry, alarms, events, meters, RTUs, substations, maintenance states, and technical documentation.<\/p>\n<\/article>\n<article style=\"flex:1 1 250px; padding:26px; border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#fff;\">\n<h3 style=\"margin:0 0 12px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:24px;\">Predictive Models<\/h3>\n<p style=\"margin:0; color:#5f6773; line-height:1.62;\">Detect abnormal patterns in transformers, generators, gearboxes, inverters, strings, and fleet-specific components.<\/p>\n<\/article>\n<article style=\"flex:1 1 250px; padding:26px; border:1px solid rgba(0,27,61,.14); border-radius:8px; background:#fff;\">\n<h3 style=\"margin:0 0 12px; color:#001b3d; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:24px;\">AI Copilot<\/h3>\n<p style=\"margin:0; color:#5f6773; line-height:1.62;\">Explain risk, summarize evidence, and recommend next actions in natural language.<\/p>\n<\/article>\n<\/div>\n<\/div>\n<\/section>\n<section style=\"padding:96px 0; background:#001b3d; color:#fff;\">\n<div style=\"width:min(100% - 48px,1180px); margin:auto; display:flex; flex-wrap:wrap; gap:46px; align-items:center;\">\n<div style=\"flex:1 1 420px;\">\n<p style=\"margin:0 0 14px; color:#ffcf00; font-size:12px; font-weight:900; letter-spacing:.13em; text-transform:uppercase;\">Architecture<\/p>\n<h2 style=\"margin:0; color:#fff; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-size:34px; line-height:1.16; font-weight:900; overflow-wrap:break-word;\">Built for mixed renewable environments.<\/h2>\n<p style=\"margin:18px 0 0; color:rgba(255,255,255,.78); font-size:18px; line-height:1.65;\">Designed to sit above existing plant systems while turning heterogeneous data into a consistent reliability view.<\/p>\n<\/div>\n<div style=\"flex:1 1 420px; display:grid; gap:12px;\">\n<details open style=\"border:1px solid rgba(255,255,255,.18); border-radius:8px; background:rgba(255,255,255,.08);\">\n<summary style=\"cursor:pointer; padding:18px 20px; color:#fff; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-weight:900;\">Second-level SCADA integration<\/summary>\n<p style=\"padding:0 20px 20px; color:rgba(255,255,255,.76); line-height:1.6;\">Connect plant, substation, RTU, meter, and monitoring data across multiple vendors and systems.<\/p>\n<\/details>\n<details style=\"border:1px solid rgba(255,255,255,.18); border-radius:8px; background:rgba(255,255,255,.08);\">\n<summary style=\"cursor:pointer; padding:18px 20px; color:#fff; font-family:Montserrat, Segoe UI, Arial, sans-serif; font-weight:900;\">Operational risk reporting<\/summary>\n<p style=\"padding:0 20px 20px; color:rgba(255,255,255,.76); line-height:1.6;\">Transform technical signals into concise priorities, evidence, and recommendations.<\/p>\n<\/details>\n<\/div>\n<\/div>\n<\/section>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>HomeInicio TechnologyTecnolog\u00eda PlansPlanes ContactContacto PrivacyPrivacidad Book a demoSolicitar demo EN ES Technology Specialized agents powered by advanced ML. Verolyze connects plant data, predictive models, expert reliability logic, and AI-assisted reasoning so teams move from raw signals to approved operational actions. 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