AWS IoT is a cloud-based software that enables organizations to securely connect, manage, and analyze data from Internet of Things devices. The software supports communication between devices and the cloud, device provisioning, authentication, and fine-grained access control. It assists with data collection, real-time analytics, and remote device management, facilitating scalable solutions for monitoring, automation, and predictive maintenance. Through integration with other AWS services, it enables the development of IoT applications that address business challenges such as operational efficiency, asset tracking, and quality assurance across various industries.
Cumulocity Platform is an Internet of Things software that enables organizations to connect and manage devices and data. The software offers features for device connectivity, real-time monitoring, data visualization, remote control, and integration with enterprise systems. It supports a range of protocols and devices, allowing users to collect, process, and analyze data from multiple sources. Cumulocity Platform is designed to address business challenges around device management, operational efficiency, and data-driven decision-making. The software facilitates automation and scalable deployment, providing tools for creating dashboards, issuing alerts, and managing firmware updates, thus supporting digital transformation initiatives across diverse industries.
Microsoft Azure IoT is a software platform designed to enable organizations to connect, monitor, and manage Internet of Things devices and assets at scale. The software provides tools for device provisioning, data collection and analysis, and secure communication between devices and the cloud. It supports integration with existing business systems and offers capabilities for predictive maintenance, remote monitoring, and process optimization. Azure IoT addresses business challenges related to operational efficiency, asset tracking, and data-driven decision making by offering managed services for device connectivity, data storage, and real-time analytics. The software facilitates edge and cloud-based processing, identity management for devices, and compliance with industry standards. Azure IoT also supports integration with artificial intelligence and machine learning services for enhanced analytics and automation.
PTC ThingWorx is an industrial Internet of Things software designed to enable organizations to develop, deploy, and manage IoT applications for smart connected operations and products. The software provides a suite of tools for real-time data collection, analysis, and visualization, allowing users to monitor and optimize assets and processes. ThingWorx supports integration with various devices and enterprise systems, offering capabilities such as remote monitoring, predictive maintenance, and workflow automation. By connecting equipment, sensors, and business systems, the software addresses business challenges related to operational efficiency, asset uptime, and scalability of IoT solutions in industrial environments.
Insights Hub is Siemens Industrial IoT software designed to securely collect, process and analyze real-time data from machines, devices and processes and contextualize them with operational data from MES and other systems. By applying out-of-the-box solutions and advanced analytics, organizations can turn this data into measurable outcomes. The software enables customers to continuously implement improvement measures, enhancing operational performance, increasing asset availability, and optimizing quality and energy usage.
Oracle IoT Cloud is a software platform designed to facilitate the integration, management, and analysis of data from connected devices. The software enables businesses to connect devices securely, collect real-time data, and process information to support operational and business decisions. It offers features such as device management, data visualization, event processing, and integration with enterprise applications. Oracle IoT Cloud addresses challenges related to monitoring assets, automating workflows, and optimizing resource utilization through data-driven insights. The software supports scalability for various IoT deployments and provides tools to help organizations streamline the development and deployment of applications that rely on device connectivity and data analysis.
Braincube is a software designed to support industrial operations by providing advanced data analysis and process optimization tools. The software integrates with existing manufacturing systems to collect, analyze, and visualize production data from various sources. It offers features such as real-time monitoring, predictive analytics, and digital modeling to identify inefficiencies and suggest process improvements. Braincube enables users to trace products, manage downtime, and perform root cause analysis, addressing challenges related to productivity, quality control, and equipment reliability. The software helps organizations leverage data to make informed decisions focused on improving operational performance and reducing production costs.
IBM Watson IoT (Legacy) is a software designed to connect Internet of Things devices with cloud computing capabilities, enabling organizations to collect, manage, and analyze data from sensors, equipment, and devices. The software supports functions such as real-time data visualization, device lifecycle management, alerting, rule-based event processing, and integration with enterprise systems. By providing these features, IBM Watson IoT (Legacy) addresses business challenges related to monitoring, optimizing, and automating operations across various industries, supporting use cases like predictive maintenance, asset management, and remote monitoring. The software facilitates secure device connectivity and data flow between physical assets and digital applications, contributing to data-driven decision-making and operational efficiency.
UnifyTwin is a software designed to assist industrial enterprises in digital transformation by creating a unified digital representation of physical assets, processes, and operations. The software offers features such as real-time data collection, analytics, and predictive insights to help optimize asset performance and operational efficiency. UnifyTwin integrates information from various sources, including sensors and legacy systems, to provide a comprehensive view of industrial environments. It aims to improve decision-making by enabling condition monitoring, remote diagnostics, and workflow automation. The software addresses business challenges related to operational visibility, equipment downtime, and process optimization by facilitating proactive maintenance and data-driven management.
Lumada Industrial DataOps activates data to improve reaction time, reduce uncertainty, improve quality, and reduce operating costs for more reliable industrial operations. It brings together data management and Industrial IoT capabilities to integrate edge (OT) and operations/business (IT) data, organize data routes and storage. It validates, cleans, and transforms data, and makes it more searchable and sharable. It enables AI/ML and Digital Twins, providing management of container-based analytic applications and edge devices across on-prem and cloud deployments.
Reduce operations cost by ~30% with the Predictive and Prescriptive Analytics to give expert guidance
Speed delivery of AI by reducing data assembly time by ~40% using proven packaged analytic modules and a compete IoT framework for developing and maintaining solutions.
Reduce risk in data integration, quality, governance, security, and storage costs with one platform that manages all IT and OT data at scale.
Litmus Edge is software designed to collect, process, and analyze data from industrial devices and systems at the edge of the network. The software supports connectivity with a range of industrial assets, enabling real-time data acquisition and integration with enterprise and cloud applications. Litmus Edge provides features such as device management, data normalization, protocol translation, and rapid application deployment to facilitate industrial automation and IoT initiatives. The software addresses challenges related to interoperability and scalability by enabling organizations to manage diverse sources of operational data and streamline the flow of information from the edge to centralized systems, supporting analytics, monitoring, and decision-making processes in manufacturing and industrial environments.
SAP Leonardo IoT is a software that integrates Internet of Things capabilities with core business processes, enabling organizations to connect devices, people, and business operations. The software facilitates data collection from physical assets and devices, supports real-time analytics, and automates responses to operational events. It helps organizations enhance asset management, optimize production processes, and improve supply chain visibility by linking sensor data with enterprise systems. The software offers features such as device connectivity, predictive maintenance, and integration with machine learning models to support decision-making. SAP Leonardo IoT addresses business problems related to operational efficiency, asset utilization, and data-driven process optimization by embedding IoT insights into enterprise workflows.
Hanyun Platform is a software designed to support industrial internet and digital transformation for manufacturing enterprises. It offers features such as equipment connectivity, data acquisition, real-time monitoring, and analytics to help streamline production processes and enable intelligent management of industrial assets. The software provides tools for integrating operational technologies with information systems, aiming to improve efficiency, enhance visibility into operations, and support decision-making through data-driven insights. Hanyun Platform addresses business challenges related to equipment management, process optimization, and industrial automation by providing a scalable environment for industrial data collection, storage, and analysis.
Everyware IoT Platform is a software designed to facilitate the integration, management, and monitoring of Internet of Things devices and data. The software provides tools for collecting, processing, and analyzing data from various connected sensors and devices, enabling organizations to remotely manage their IoT infrastructure. It offers features such as device lifecycle management, secure data transmission, real-time monitoring, and support for common IoT protocols. Through this software, businesses can centralize control over their distributed assets, streamline data flow from edge devices to enterprise systems, and support decision-making based on real-time analytics. The software aims to address challenges related to scalability, interoperability, and security in IoT deployments.
AVEVA PI System is a software designed for real-time data collection, analysis, and management. It enables organizations to aggregate large volumes of operational data from industrial sources, including sensors and control systems, providing accessible and reliable information for monitoring and optimizing processes. The software offers scalable data infrastructure, secure data storage, data visualization tools, and integration capabilities for third-party applications and enterprise systems. It addresses business needs related to asset performance, operational efficiency, compliance, and informed decision making by transforming raw data into actionable insights. The software supports industries seeking enhanced visibility and control over operational activities through configurable analytics and reporting features.
iROOTECH is an industrial Internet of Things software developed to facilitate digital transformation for manufacturing and industrial enterprises. The software provides a cloud-based platform that enables connectivity between equipment, real-time data collection, and analysis for operational optimization. iROOTECH supports device management, remote monitoring, predictive maintenance, and process integration, allowing users to streamline industrial workflows and enhance equipment utilization. By centralizing data across different systems and machinery, the software addresses challenges related to interoperability and information silos. It offers tools for configuring automated processes, visualizing production metrics, and setting up alerts to minimize downtime, contributing to improved operational efficiency in manufacturing environments.
Altizon Datonis Industrial IoT Platform is a software that enables enterprises to connect, monitor, and analyze data from industrial assets and equipment. The software provides capabilities for device connectivity, data ingestion, real-time visualization, and advanced analytics to improve operational efficiency. Datonis Industrial IoT Platform supports integration with various machines and sensors, allowing businesses to gain insights into machine performance, predict maintenance needs, and optimize production processes. The platform assists organizations in addressing challenges related to asset management, process optimization, and operational transparency within manufacturing and industrial environments.
Cerebra is a software developed by Flutura that focuses on industrial IoT analytics for engineering and manufacturing operations. The software is designed to gather, process, and analyze large volumes of data from equipment, sensors, and devices within industrial environments. Cerebra provides features such as asset performance management, condition monitoring, and predictive maintenance by combining machine learning algorithms with real-time data streams. It supports integration with various types of operational technology and enterprise systems, helping organizations identify inefficiencies, monitor equipment health, and address operational issues. The software aims to enhance operational visibility and reliability by enabling data-driven decision-making for industrial enterprises.
Exosite Industrial IoT Platform is a software designed to enable organizations to connect, monitor, and manage industrial assets and equipment within various operational environments. The software provides capabilities for device connectivity, data aggregation, remote monitoring, and control through dashboards and APIs. It supports integration with legacy systems and third-party applications and offers device and user management features along with secure data transmission and storage. The software aims to facilitate predictive maintenance, operational efficiency, and data-driven decision making by centralizing asset data and analytics. Organizations use this software to address challenges related to equipment monitoring, scalable device management, and improving operational visibility across industrial settings.
Davra IIoT Platform is software designed to enable the deployment, management, and monitoring of Internet of Things solutions across industrial environments. The software facilitates connectivity with a wide range of devices and sensors, allowing for real-time data collection and analysis. It provides tools for visualization, workflow automation, and integration with enterprise systems. The software addresses business challenges related to asset tracking, predictive maintenance, and operational efficiency by aggregating data from distributed sources and converting it into actionable insights. Its features include application enablement, customizable dashboards, a unified data platform, secure data transmission, and scalable architecture that supports various industrial verticals such as manufacturing, energy, and transportation.
