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Top Rated IoT Analytics Software with Large enterprises - Page 2

Last updated: August 2026

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31 software options

Scaleway logo

Database management software for IT developers

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Scaleway is a database management platform designed to help businesses handle cloud computing infrastructure. It enables software developers to deploy virtual machine (VM) instances, define network access rules, track the performance of applications, and monitor CPU or bandwidth usage.

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NetvirE logo
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AI-Powered Cloud-Native IIoT Platform

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NetvirE is an AI-driven IIoT analytics platform. It turns edge and sensor data into real-time insights via cloud-based dashboards and digital twin capabilities. Predictive analytics enable anomaly detection, maintenance forecasting, and energy optimization across industrial and enterprise assets.

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Bestekar 4.X logo
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IoT-enabled predictive maintenance platform

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Bestekar 4.X is an all-in-one predictive maintenance platform for industrial teams. It combines operational technology with information technology to process sensor data from production plants, providing real-time insights into asset condition for sustainable business decisions.

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UNUM GENSET logo
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Brand-independent IIoT platform for genset monitoring

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UNUM Genset is a software and hardware platform for remote control and health monitoring of power generators, providing fuel and engine monitoring, power data collection, remote diagnostics, telematics health checks, GPS tracking, and remote start/stop.

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Klyff logo
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IoT solution

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Klyff is an Edge AI-enabled IoT platform for creating intelligent devices. It assists businesses with device management, data collection, processing, visualization, and more. Klyff streamlines the creation of AI & machine learning models for edge hardware, allowing devices to plan decisions and offer insight where data is gathered

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IoTConnect logo
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Production line monitoring software with smart ticketing

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IoTConnect is a smart production line monitoring software designed to help businesses predict machine failures using trained machine learning algorithms. It lets manufacturers connect multiple machines and product lines, acquire data from various disparate sources, and streamline edge analytics, predictive maintenance, and remote monitoring.

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