Industrial engineering services help manufacturers improve production workflows, reduce manual effort, and increase operational efficiency through automation, engineering analysis, and production-ready design support.
By combining IoT data collection, advanced analytics, and AI-driven anomaly detection, manufacturers can identify issues earlier, reduce unplanned downtime, and keep critical equipment running more reliably.
IIoT solutions connect machines, sensors, and control systems into a single data-driven environment, enabling real-time monitoring of high-value manufacturing equipment. Using advanced BLE and GPS tracking algorithms, IIoT solutions provides continuous visibility into asset location, condition, and utilisation. This enables manufacturers to improve operational efficiency, reduce losses, and make more informed, data-driven decisions across production environments.
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Engineering-led software, automation, and analytics help manufacturers streamline production processes, remove bottlenecks, and improve output while maintaining quality and operational control.
Digital twin solutions create virtual representations of assets and production environments, allowing industrial teams to simulate processes, test changes, and optimise performance in real time with greater confidence.
Edvantis developed a secure, enterprise-grade data pipeline for a leading logistics solutions provider, enabling large-scale data processing in cloud environments. By automating data domain creation, streamlining service deployment, and implementing granular access controls, the solution reduces manual effort and enhances security. This robust integration supports advanced analytics and forecasting, improving efficiency, visibility, and decision-making across supply chain operations.
Edvantis supported a renewable energy provider in enhancing wind turbine control software to improve efficiency and operational resilience. By modernising legacy code and integrating IoT-enabled controllers, the solution enables real-time monitoring of environmental conditions, adaptive performance optimisation, and automated safety responses. This ensures stable operations during extreme weather, efficient energy generation, and reduced operational risk across power assets.
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