COMING Q1 2025
Empower Manufacturing Intelligence with SepaIQ
- SepaIQ transforms manufacturing operations by delivering real-time updates directly to the plant floor, enabling immediate action and improved decision-making. As data is streamed from various sources, SepaIQ performs built-in or custom calculations, applies machine learning models to predict outcomes, and instantly feeds the results back to production staff.
- SepaIQ cleans, transforms, and contextualizes production data for advanced AI and machine learning, reducing the need for time-consuming data preparation later on. By establishing meaningful relationships between data points from various sources, SepaIQ enhances AI model accuracy, providing the context necessary for more precise predictions and reliable insights.
- SepaIQ’s dedicated analytics engine functions independently from critical production servers, allowing even the most complex analytics tasks to be processed without impacting production server performance. With data streaming, load balancer compatibility, and more, SepaIQ optimizes memory and CPU usage while supporting clustered and elastic architectures.
- Forecast potential production losses, predict equipment failure, and detect emerging quality concerns with SepaIQ’s native AI-powered features. Leveraging advanced XGBoost predictions and Sentiment Analysis, SepaIQ equips plant floor staff to identify and resolve potential issues before they impact productivity.
Seamlessly modify, remove, or insert data as production data changes occur, automatically updating all subscribers with the latest analytics results.
Simplify configuration and management with a user-friendly, low-code/no-code interface, making advanced manufacturing analytics accessible without extensive data science expertise.
Reduce database size and eliminate redundant data by storing only changes, ensuring efficient management of large volumes of production data.
Utilize built-in OEE and SPC calculators, or create custom calculations with JavaScript, to analyze production performance and optimize operations.
Seamlessly align, change, and enrich real-time data from multiple sources to provide meaningful insights and improve accuracy of analytics and AI applications.
Customize data hierarchies and context to fit organizational needs, supporting standards like ISA-95 or creating unique configurations.
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