Interfacing Integrated Management System (IMS)
Interfacing’s Integrated Management System (IMS ) is an AI-supported platform that brings BPM, QMS, Document Control, and GRC together in one environment. Teams use IMS to design and manage processes, govern documentation, oversee risks, and demonstrate compliance with complete visibility and reliable audit evidence.
Built for sectors that depend on strict oversight, such as aerospace, life sciences, public sector, and financial services, IMS offers real-time monitoring, automated workflows, and AI-driven analytics that strengthen quality and lower operational exposure. The system is ISO 27001 certified and validated for 21 CFR Part 11, ensuring secure and compliant use in regulated operations. IMS also provides low-code automation, process mining, audit tools, training management, CAPA workflows, and dashboards that help organizations improve performance and maintain regulatory control. AI enhances governance, improves precision, and supports continuous compliance.
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NetBrain
Since 2004, NetBrain has transformed network operations with its no-code automation platform, helping teams systematically shift left by turning complex processes into streamlined workflows. By unifying AI and automation, NetBrain delivers actionable hybrid network-wide observability, automates troubleshooting, and enables safe change management to boost efficiency, reduce MTTR, and mitigate risk, enabling IT organizations to proactively drive innovation.
Get network-wide and contextualized analysis across your multi-vendor, multi-cloud network
Visualize and document the entire hybrid network using dynamic network maps and end-to-end paths
Automate network discovery and ensure data accuracy for a single source of truth
Auto-discover and decode your network's golden configurations, discover day 1 issues, and automate configuration drift prevention
Automate pre- and post-validations for network changes with application performance context understanding
Automate collaborative troubleshooting from human to machine
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Ansys Twin Builder
A digital twin that is driven by analytics and based on simulations serves as a virtual counterpart to a physical asset currently in use, functioning as a comprehensive multidomain system simulation that reflects the asset's lifecycle and performance. These hybrid digital twins facilitate the design and optimization of systems, as well as predictive maintenance strategies, which in turn enhance the management of industrial assets. By utilizing Ansys Twin Builder, organizations can boost their revenue, control expenses, and gain a significant edge over competitors. This tool allows for the rapid development of a digital twin, which acts as an interconnected representation of an operational asset, leading to improved management throughout its lifecycle and enabling effective predictive maintenance. Such capabilities not only help reduce costs but also play a crucial role in sustaining a lasting competitive advantage in the marketplace.
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GE Digital Twin
Utilizing sophisticated analytics and machine learning techniques is essential for minimizing operational expenses and mitigating risks. A fundamental component of the digital transformation landscape, digital twins provide precise virtual representations of tangible assets, systems, and objects to enhance productivity, optimize processes, and drive profitability. Typically, a digital twin is regarded as a software model of a physical asset or system that is tailored to identify, avert, predict, and refine processes through real-time analytics, ultimately delivering significant business advantages. At GE Digital, our emphasis lies in leveraging digital twin software to assist our clients in three primary domains: Asset, Network, and Process. By effectively monitoring, simulating, and managing an asset, process, or network, organizations can significantly elevate system performance. Furthermore, it is crucial to ensure the well-being and safety of employees and the environment while achieving business goals by minimizing incidents related to assets and processes, as well as preventing unintended downtimes, thereby fostering a more resilient operational framework. The integration of digital twin technology not only enhances efficiency but also paves the way for innovation across various sectors.
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