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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TelemetryTV
TelemetryTV is a powerful platform for digital signage that allows organizations to connect with audiences, generate awareness and give voice to their communities and teams.
TelemetryTV lets you broadcast dynamic content by streaming video, images and social feeds to all your displays, wherever they may be.
TelemetryTV powers internal communications and marketing at Starbucks, Amazon and Stanford University.
Our success is based on being flexible, open to communication, collaborative, and open to collaboration. We believe in continuous learning, challenging the status-quo, and listening to customers.
We are moving towards a world in which our walls will eventually talk. This begs the question: What do you want them saying?
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Digital Twin Studio
Data Driven Digital Twin toolset that allows you to Visualize, Monitor, Optimize and Optimize your operation in Real Time using machine learning and artificial intelligence. Control your SKU, Resource, Automation, Equipment, and Other Costs.
Digital Twin Shadow Technology - Real-Time Visibility & Traceability Digital Twin Studio®, Open Architecture allows it to interact with a variety of RTLS/data systems - RFID BarCode, GPS PLC, WMS EMR ERP, MRP, and RTLS systems.
Digital Twin with AI/Machine Learning - Predictive Analytics, Dynamic Scheduling
Predictive analytics in real-time deliver insights via notifications when issues occur before they happen with state-of-the art Digital Twin Technology
Digital Twin Replay – View past events and set up active alerts. Digital Twin Studio allows you to replay and animate past events in VR, 3D, and 2D.
Digital Twin Live Real-Time Data - Dynamic Dashboards. A drag and drop dashboard builder that allows for unlimited layout possibilities.
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Azure Digital Twins
Azure Digital Twins serves as an Internet of Things (IoT) platform that allows for the development of digital replicas of tangible objects, locations, business workflows, and individuals. By leveraging this technology, organizations can obtain valuable insights that enhance product development, streamline operations and reduce costs, while also delivering exceptional customer experiences. The platform facilitates the straightforward modeling and creation of digital representations for interconnected environments using an open modeling language. You can model a variety of structures, including buildings, factories, farms, energy grids, railways, stadiums, and even entire cities. These digital twins are animated through a real-time execution environment that tracks changes over time. Additionally, it provides actionable insights into the dynamics of the modeled environments through robust query APIs, while also seamlessly integrating with Azure's data analytics capabilities. The open modeling language empowers users to design customized domain models for any connected setting, utilizing the Digital Twins Definition Language for enhanced flexibility and creativity in their applications. This enables a wide range of industries to optimize their operations and innovate more effectively.
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