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  &lt;title&gt;Technology – Swizet Limited&lt;/title&gt;
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        &lt;p class=&quot;eyebrow&quot;&gt;Technology&lt;/p&gt;
        &lt;h1&gt;A cloud‑native AI architecture for real‑time infrastructure intelligence.&lt;/h1&gt;
        &lt;p class=&quot;lead&quot;&gt;Swizet uses a structured Google Cloud data pipeline to transform raw data centre signals into predictive recommendations, dashboards and sustainability metrics.&lt;/p&gt;
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          &lt;p class=&quot;eyebrow&quot;&gt;Core stack&lt;/p&gt;
          &lt;h2&gt;Google Cloud, streaming data and Vertex AI models.&lt;/h2&gt;
          &lt;p&gt;The platform is designed to handle large volumes of streaming data from complex data centre environments while delivering actionable insights with minimal latency.&lt;/p&gt;
          &lt;p&gt;It combines data engineering, machine learning and cloud services to create a unified intelligence layer for real‑time optimization strategies.&lt;/p&gt;
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        &lt;p class=&quot;eyebrow&quot;&gt;System workflow&lt;/p&gt;
        &lt;h2&gt;Six stages from infrastructure input to climate impact intelligence.&lt;/h2&gt;
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      &lt;div class=&quot;container workflow detailed&quot;&gt;
        &lt;article class=&quot;workflow-step reveal&quot;&gt;
          &lt;span&gt;01&lt;/span&gt;
          &lt;h3&gt;Data Input &amp;amp; Integration&lt;/h3&gt;
          &lt;p&gt;Connect APIs, sensors, energy meters, cooling systems, server utilisation and monitoring tools without hardware modifications.&lt;/p&gt;
        &lt;/article&gt;
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          &lt;span&gt;02&lt;/span&gt;
          &lt;h3&gt;Real‑Time Streaming&lt;/h3&gt;
          &lt;p&gt;Cloud Pub/Sub moves infrastructure data through a reliable, low‑latency messaging pipeline.&lt;/p&gt;
        &lt;/article&gt;
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          &lt;span&gt;03&lt;/span&gt;
          &lt;h3&gt;Data Processing&lt;/h3&gt;
          &lt;p&gt;Dataflow prepares raw signals by removing noise, standardising formats and enriching datasets.&lt;/p&gt;
        &lt;/article&gt;
        &lt;article class=&quot;workflow-step reveal&quot;&gt;
          &lt;span&gt;04&lt;/span&gt;
          &lt;h3&gt;AI Prediction &amp;amp; Optimization&lt;/h3&gt;
          &lt;p&gt;Vertex AI models forecast energy demand, temperature spikes, anomalies and optimisation actions.&lt;/p&gt;
        &lt;/article&gt;
        &lt;article class=&quot;workflow-step reveal&quot;&gt;
          &lt;span&gt;05&lt;/span&gt;
          &lt;h3&gt;Dashboards &amp;amp; Alerts&lt;/h3&gt;
          &lt;p&gt;Operators see energy, cooling, recommendations, alerts and historical trends in a clear interface.&lt;/p&gt;
        &lt;/article&gt;
        &lt;article class=&quot;workflow-step reveal&quot;&gt;
          &lt;span&gt;06&lt;/span&gt;
          &lt;h3&gt;Climate Impact Tracking&lt;/h3&gt;
          &lt;p&gt;Carbon emissions, PUE, sustainability indicators and ESG reporting support complete the operational loop.&lt;/p&gt;
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          &lt;div&gt;&lt;strong&gt;Input&lt;/strong&gt;&lt;span&gt;Energy, cooling, sensors, workloads&lt;/span&gt;&lt;/div&gt;
          &lt;div&gt;&lt;strong&gt;Model&lt;/strong&gt;&lt;span&gt;Forecasting and anomaly detection&lt;/span&gt;&lt;/div&gt;
          &lt;div&gt;&lt;strong&gt;Action&lt;/strong&gt;&lt;span&gt;Optimization recommendations&lt;/span&gt;&lt;/div&gt;
        &lt;/div&gt;
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          &lt;p class=&quot;eyebrow&quot;&gt;Closed‑loop intelligence&lt;/p&gt;
          &lt;h2&gt;Designed to move from recommendations toward autonomous optimization.&lt;/h2&gt;
          &lt;p&gt;Through continuous learning and feedback loops, Swizet can evolve from recommendation‑based support to semi‑autonomous and fully autonomous optimization, reducing manual intervention and improving efficiency over time.&lt;/p&gt;
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        &lt;p&gt;AI‑powered intelligence for efficient, resilient and sustainable data centre operations.&lt;/p&gt;
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