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Top Rated IoT Analytics Software with Activity dashboard - Page 3

Last updated: September 2026

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72 software options

Handshake logo

Where students can find their future workplace

Handshake is a place to launch a career with no connections, experience, or luck required. The platform connects up-and-coming talent with 650,000+ employers - from Fortune 500 companies like Google, Nike, and Target to thousands of public school districts, healthcare systems and nonprofit organizations

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Bestekar 4.X logo
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IoT-enabled predictive maintenance platform

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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Vimana logo
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Manufacturing analytics and predictive maintenance solution

Vimana is designed to help businesses connect and collect real-time data from diverse sources, including machines, sensors, and systems transforming the data to power manufacturing analytics, machine monitoring and OEE, condition monitoring and predictive maintenance.

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Knowi logo

Augmented analytics platform for businesses of all sizes

Knowi is an augmented analytics platform designed to help businesses of all sizes analyze data and manage multiple databases through machine learning and natural language processing. Key features include data blending, predictive analytics, white labeling, two-factor authentication, and reporting.

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UNUM GENSET logo
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Brand-independent IIoT platform for genset monitoring

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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SAM4 logo
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Predictive maintenance for AC motors & rotating equipment

SAM4 is a smart predictive maintenance solution for critical AC motors and rotating equipment. Unlike traditional tools that use vibration sensors, SAM4 measures electrical waveforms from inside the MCC, creating a reliable, accurate, and easy to use predictive maintenance solution that scales.

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Klyff logo
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IoT solution

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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CountIQ logo
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AskSensors logo
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Cloud-based IoT platform to monitor & manage sensors

AskSensors is a SaaS IoT platform for connecting, monitoring, and managing IoT devices in real time via the cloud. Offers data analytics, HTTPS security, email alerts, and customizable dashboards. Ideal for smart cities, Industry 4.0, agriculture, home automation, and wearables.

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Ayla IoT Platform logo
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Vorne XL Platform logo

Vorne XL measures the OEE of any production process.

XL Productivity Appliance is a web-based overall equipment effectiveness (OEE) management solution that helps monitor and manage performance of all production and manufacturing processes, enabling users across industries to calculate OEE of operations, optimize downtime, highlight losses, and more.

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IoTConnect logo
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Production line monitoring software with smart ticketing

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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Seeq logo
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Metrikus logo
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Turning data chaos into data clarity

Metrikus transforms data chaos into clarity by aggregating building data from a range of trusted sources and giving you access to exactly what data you need.

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Nanoprecise logo
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Automated AI-based predictive maintenance solution

Nanoprecise delivers AI-powered predictive maintenance that works smarter, not louder. Our wireless IoT sensors and real-time analytics cut false alarms, optimize maintenance, and boost energy efficiency—so you stay ahead instead of playing catch-up.

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IXON Cloud logo
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The next generation IIoT platform

IXON Cloud is a complete IoT solution, from connectivity to cloud, that brings your machines, people and services together. Connect your machines to IXON Cloud to benefit instantly from optimised remote support with Remote Access Cloud.

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Davra IoT Platform logo
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IoT platform for transport, construction, mining & utilities

Davra is asset operations software for industrial manufacturers, utilities, and operators of remote, distributed equipment. Built-in agentic AI, digital twins, predictive maintenance, smart-energy monitoring, and multi-protocol device connectivity on an ISO 27001 and SOC 2 foundation.

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Rayven logo
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Unified platform for operational AI and automation

Rayven is a cloud, on-premise, or edge-deployable platform combining integration, real-time data, AI, automation, and custom.

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Sclera logo
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Optimized Asset Management

Sclera is a building management solution engineered for businesses to monitor and manage assets, workforce, and operations. The product offers features including asset digitization, inspection digitization, network monitoring, wayfinding, sensors, an integrated operating system, and personalized QR codes.

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evrlast cloud logo
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Cobundu logo
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Desk booking and room space management system

Cobundu is a digital workplace and desk booking software that helps businesses monitor and control various aspects of the building, including lighting, heating, ventilation, and air conditioning (HVAC). The platform enables building occupants to personalize preferences for lighting, temperature, and other environmental factors.

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TRACTIAN logo

Condition monitoring and production tracking tool

Tractian is an AI-powered platform for Predictive Maintenance and Production Performance that combines IoT sensors, software, and patented AI to protect operations and cut unplanned downtime.

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