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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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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Sandhed
Sandhed serves as a digital twin platform tailored for manufacturers, allowing users to upload their facility's floor plans to create an engaging 3D environment that displays real-time sensor data, equipment statuses, and asset locations. The platform seamlessly integrates with over 150 industrial protocols, such as OPC UA, MQTT, and Modbus, ensuring compatibility with existing PLCs and sensors within the facility. Users can pose operational inquiries using simple language and receive immediate responses based on current data. Additionally, by photographing any piece of machinery, the AI can generate a corresponding 3D model. The system also incorporates maintenance management features, including 19 compliance templates, which streamline regulatory adherence. Established in Copenhagen, Sandhed operates out of Malta, expanding its reach in digital manufacturing solutions. This innovative approach enables manufacturers to enhance their operational efficiency and decision-making processes.
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AWS IoT
There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.
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