
NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services, applications, websites, logs, telemetry, and network traffic across distributed environments.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
NetCrunch provides real-time dashboards and automatic Layer 2 and routing topology maps for visibility into network status and performance. Network traffic analysis supports NetFlow, sFlow, IPFIX, and other flow technologies. Its alerting system supports event correlation, dependency-aware suppression, predictive thresholds, escalation, and 40+ automated response actions, including scripts, notifications, API calls, and integrations with external systems.
Distributed Monitoring Probes extend monitoring to remote and isolated locations. NetCrunch also provides a REST API for integration and automation with external IT management, service management, and operational systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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For over two decades, Shoplogix has helped leading manufacturers worldwide unlock hidden production potential by transforming real-time machine and performance data into actionable insights. The platform automatically captures signals like downtime, scrap, and throughput, delivering visual dashboards that enable teams to identify bottlenecks, reduce losses, and improve continuously—both during shifts and in post-shift analysis.
With OneSignal connectivity, Shoplogix integrates with any machine brand or type to deliver real-time, granular insights on slow-running, starved, or idle machines. Its intuitive visual management system allows operators and managers alike to quickly detect and act on issues. Integrated analytics provide powerful, slice-and-dice capabilities similar to leading BI tools, without leaving the platform.
Designed for agility, Shoplogix supports scaling from a single line to multi-plant operations across geographies. Continuous improvement tools like Action Plans and Digital Andon alerts keep teams engaged, aligned, and empowered to act—making Shoplogix a powerful ally in the pursuit of operational excellence.
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Riff
Riff is an enterprise AI agent platform that helps industrial organizations automate complex operational workflows across existing business systems. The software provides autonomous agents for order management, procurement, logistics, production planning, and aftermarket operations. These agents can process customer orders, follow up with suppliers, manage purchasing activities, investigate exceptions, and update records directly within connected ERP platforms. Riff maintains a shared operational context containing business entities, relationships, procedures, and historical interactions to support consistent agent decisions. Its integrations connect with systems such as Microsoft Dynamics 365, SAP, Infor, IFS, Monitor, Jeeves, and Epicor through supported APIs. The platform provides collaborative interfaces where employees and AI agents can review the same operational records, exchange information, and coordinate decisions. A natural language application builder enables users to create custom dashboards, operational workspaces, and specialized AI agents without developing every component manually. Security and governance capabilities include role-based permissions, single sign-on, human approval requirements, activity logging, and controlled deployment processes. Riff also supports communication through email, Microsoft Teams, Slack, phone, and business portals to coordinate workflows involving employees, customers, and suppliers.
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Cognite
Cognite offers Cognite Data Fusion, a versatile and secure platform for Industrial DataOps and AI that integrates, contextualizes, and operationalizes a wide array of industrial data types, including time series data, engineering diagrams, IT systems, operational technology, and unstructured information, all within a cohesive industrial knowledge framework. This platform is designed to tackle the intricacies of managing industrial data, boasting over 90 pre-built extractors and connectors that facilitate seamless data ingestion from various industrial systems. Additionally, it features automated and AI-enhanced contextualization to deepen the understanding of the interrelationships between different data types. Users benefit from user-friendly search and visualization capabilities, alongside robust governance tools such as cataloging, data lineage tracking, and secure access controls, which collectively foster trust and reliability among all stakeholders involved. By leveraging these advanced features, organizations can generate data-driven insights and analytics, empowering them to implement AI use cases efficiently on an enterprise scale.
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