4.8 out of 5 stars
(6 Ratings)
Edgefinity IoT is an enterprise RFID and real-time tracking platform designed to give organizations greater visibility and control over their operations. The platform connects RFID readers, sensors, and other IoT devices to automatically identify, locate, and monitor assets, inventory, work-in-process, tools, equipment, and personnel.
With configurable workflows, real-time alerts, facility maps, reporting, and a powerful rules engine, Edgefinity IoT turns RFID data into actionable information. Organizations can use the platform to automate inventory tracking, monitor asset movement, improve manufacturing workflows, manage safety and mustering, verify shipments, and create alerts when important events occur.
Hardware-agnostic and available for cloud or on-premise deployment, Edgefinity IoT can scale from a focused RFID application to an enterprise-wide visibility solution spanning multiple facilities and workflows.
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4.8 out of 5 stars
(139 Ratings)
Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity.
Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can:
Monitor real-time vibration, temperature, runtime, and RPM across critical assets
Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures
Digitize workflows for streamlined work order management, planning & scheduling, and materials management
Optimize energy consumption for improved sustainability and cost savings
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Actcast
Actcast is an edge-AI IoT platform service that links events and data from the physical world to the Web by performing deep learning inference on edge devices, enabling real-time sensing, analysis, and integration of physical data with online systems while reducing data transfer costs and privacy risks. It uses edge computing to run deep learning models locally on low-cost hardware such as Raspberry Pi, converting raw sensor and camera input into actionable, semantic data that can be sent to web services or applications. It supports deployment, remote management, and monitoring of IoT applications (“Acts”) across many devices, and provides tools such as an SDK and command-line interface to develop, package, and deploy applications in Docker containers that process input and send summarized results. Actcast also includes features for managing device groups, configuring triggers and webhooks to notify events, and handling updates and device status from a centralized dashboard.
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