AI powered data centre optimization
Energy, cooling and carbon optimization in one software layer.
Swizet helps operators shift from reactive monitoring to predictive optimization across power usage, cooling efficiency and workload distribution.
Predictive infrastructure management
Streaming data, machine learning and clear operational action.
The platform analyzes live and historical infrastructure data to detect anomalies, forecast thermal demand and uncover optimization opportunities.
Sustainability built into operations
Measure carbon emissions, PUE and environmental impact.
Swizet translates energy and climate data into clear insights for compliance reporting and sustainable digital infrastructure.
About Swizet Limited
Swizet Limited is a UK based technology startup building an AI powered intelligence platform for optimizing data centre operations. The platform sits at the intersection of artificial intelligence, digital infrastructure and sustainability.
Its purpose is to address growing inefficiencies in data centres and AI infrastructure by providing a lightweight, plug and play AI layer that works with existing systems without major hardware upgrades.
Core capabilities
Swizet unifies operational signals and translates them into predictive recommendations for efficient, resilient and sustainable data centre management.
Machine learning models analyze live and historical operational data to identify inefficiencies and recommend energy, cooling and workload improvements.
Thermal and environmental signals are monitored to forecast temperature spikes, reduce overcooling and improve airflow management.
Anomaly detection and forecasting help operators act before inefficiencies become downtime, disruption or equipment stress.
A climate intelligence layer calculates emissions, tracks PUE and supports ESG‑aligned reporting with measurable sustainability indicators.
Energy meters, workload metrics and cooling data are unified to reveal usage patterns, cost pressure and practical optimization actions.
Cloud native architecture
Swizet is designed around the Google Cloud AI ecosystem, using real‑time data ingestion, processing, analytics and predictive models to transform raw infrastructure data into optimization strategies.
View the technology stackWorkflow
Connect APIs, sensors, energy meters, cooling systems, server utilization and monitoring tools without hardware modifications.
Cloud Pub/Sub moves infrastructure data through a reliable, low‑latency messaging pipeline.
Dataflow prepares raw signals by removing noise, standardising formats and enriching datasets.
Vertex AI models forecast energy demand, temperature spikes, anomalies and optimization actions.
Operators see energy, cooling, recommendations, alerts and historical trends in a clear interface.
Carbon emissions, PUE, sustainability indicators and ESG reporting support complete the operational loop.
Sustainability intelligence
Swizet provides real‑time visibility into carbon emissions, energy utilization patterns, PUE and sustainability performance indicators so operators can monitor, measure and reduce environmental impact.
Explore sustainabilityNext‑generation data centres
Insights
AI is transforming data centre management through automation and predictive capabilities.
Understanding energy usage patterns helps data centre operators reduce waste and costs.
Sustainability reporting requires accurate operational visibility across energy usage, emissions and environmental performance.
Contact
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