Product Listings
AWS Greengrass is a software that extends cloud capabilities to local devices, enabling the creation and deployment of applications and machine learning models at the edge. The software supports secure connectivity, local data processing, and execution of AWS Lambda functions without the need for constant cloud connectivity. It facilitates seamless integration with various AWS services, provides device management, and supports OTA updates for devices. The software is designed to address business requirements for processing and analyzing data locally in order to reduce latency, optimize bandwidth usage, and maintain operations even during periods of intermittent cloud connectivity.
Crosser Platform is a software designed for real-time processing and integration of streaming data from industrial and IoT sources. The software enables organizations to collect, analyze, and act on data at the edge or in the cloud. It features a modular architecture that supports connectivity with a wide range of systems, including industrial equipment, cloud platforms, and enterprise applications. Crosser Platform provides tools for building and deploying data flows, transforming and combining sensor, machine, and enterprise data, and facilitating automation and monitoring processes. The software addresses business challenges related to data silos, latency, and complexity by streamlining data integration, reducing operational costs, and enhancing decision-making with actionable insights.
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.
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.
Particle is a software platform that offers tools for developing, connecting, and managing Internet of Things devices. The software enables users to build solutions involving embedded hardware, cloud connectivity, and device management, providing integrations with various connectivity protocols such as Wi-Fi, cellular, and mesh networking. Particle software includes features for firmware deployment, real-time monitoring, over-the-air updates, and remote diagnostics, aimed at facilitating the secure and reliable operation of IoT devices in distributed environments. The software addresses challenges related to device connectivity, scalability, data collection, and remote management across various industries.
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.
Hitachi Lumada IoT Platform is a software designed to facilitate the integration, management, and analysis of data from connected devices and systems across industrial and enterprise environments. The software offers features such as data ingestion, real-time analytics, edge computing, and machine learning support to help organizations harness IoT data for operational improvement. It enables users to collect, store, and analyze data from various sources, making it possible to monitor assets, predict maintenance needs, and optimize business processes. The software addresses the business problem of managing and extracting value from large and diverse sets of IoT data while supporting interoperability between devices and systems.
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.
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.
Oracle Internet of Things Cloud Service is a software platform designed to enable businesses to collect, analyze, and integrate data from a wide range of IoT devices into enterprise applications and processes. The software provides capabilities for secure device connectivity, real-time data streaming, and advanced analytics, allowing organizations to monitor assets, automate responses, and optimize operations. It supports integration with other Oracle and third-party applications to deliver insights and support decision-making. The software addresses business challenges related to managing large volumes of device-generated data and leveraging this information to improve operational efficiency and productivity.
Cogent DataHub (edge) is a software designed for real-time data integration and connectivity in industrial automation environments. The software facilitates secure transfer, aggregation, and distribution of live process data across disparate systems and networks, supporting protocols such as OPC, MQTT, and Modbus. It enables organizations to bridge legacy equipment with modern applications, enhance data accessibility, and streamline interoperability between field devices and enterprise systems. Cogent DataHub (edge) addresses operational challenges related to data silos and connectivity by offering features like aggregation, protocol translation, and buffering, which are intended to improve reliability and flexibility in industrial data communication.
HiveMQ is a software designed to facilitate secure, scalable, and reliable data movement between connected devices and enterprise systems using the MQTT protocol. The software is utilized for managing the real-time transmission of data between IoT devices, applications, and cloud platforms. HiveMQ offers features such as support for large-scale deployments, high availability, integration options, and enterprise-grade security controls. It addresses business requirements related to the efficient handling of communication between distributed IoT environments, enabling organizations to process and analyze data from a diverse range of sources for improved operational awareness and decision making.
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.
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.
TIA Platform is a software developed by Teknopar that offers integrated solutions for industrial automation and digitalization. The software enables real-time monitoring, control, and optimization of industrial processes by leveraging data analytics, connectivity, and IoT technologies. It provides functionalities such as device and equipment management, process visualization, predictive maintenance, production analytics, and alarm management. TIA Platform aims to address business challenges related to operational efficiency, equipment reliability, and data-driven decision making in manufacturing and industrial environments. Through its modular design and interoperability with various industry protocols, the software supports seamless integration into existing infrastructure, contributing to streamlined workflows and enhanced productivity.
Afero IoT Platform is a software designed to simplify and secure the development and deployment of connected devices. The software offers device connectivity management, data collection, and remote monitoring capabilities. It provides core features such as over-the-air updates, device onboarding, and access controls to support IoT infrastructure. The software enables integration with cloud services, supports multiple networking protocols, and includes features for data encryption and authentication. Afero IoT Platform addresses business challenges related to scaling IoT solutions, managing device fleets, ensuring data privacy, and streamlining the development process for connected products.
Axperience is a software developed by Axiros designed to facilitate device management and service automation for network operators and service providers. The software enables remote provisioning, monitoring, and management of devices using protocols such as TR-069. It supports firmware upgrades, diagnostic functions, and device inventory management, helping organizations oversee large device deployments efficiently. Axperience addresses business challenges associated with manual device configuration, troubleshooting, and maintenance, allowing more consistent and automated administration of customer premises equipment in telecommunications environments. It is applied to streamline operational workflows and improve service reliability through centralized device lifecycle management.
Ayla IoT Platform is a software designed to enable businesses to connect, manage, and optimize IoT devices and data. The software provides device connectivity and management features, including seamless integration with cloud infrastructure and data storage. It supports device onboarding, security management, firmware updates, and real-time analytics, facilitating the monitoring and control of connected devices. The platform addresses business needs by streamlining IoT application development, providing device lifecycle management, and supporting integration with third-party applications and services. It helps organizations enhance operational efficiency, gain actionable insights from device data, and ensure secure, scalable device ecosystems across various industries.
Bosch IoT Suite is a software platform designed for the development, deployment, and scaling of Internet of Things solutions. The software provides device management, data collection, remote monitoring, and integration capabilities for connected devices. It enables secure connectivity, management of large fleets of devices, and processing of device data for operational insights. The software supports interoperability with various protocols and third-party systems, facilitating integration within existing IT and operational technology environments. It addresses business challenges related to device lifecycle management, reliable data exchange, and scalable cloud-based operations in IoT ecosystems.
eQube-MI is a Low/No-code integration platform for building an integrated application ecosystem. It supports orderly legacy system retirement using Bulk Load plus Delta or bi-directional sync methods without disruptions. Simultaneously, migrated data can populate new system training instances, reducing consolidation risks. The BPMN-compliant Process Designer in eQube-MI facilitates enterprise integration patterns. It visually designs interfaces with process workflows and processing pipelines, capturing business logic and orchestration. eQube’s data virtualization layer offers an integrated view by consolidating data from multiple sources. eQube-MI federates real-time data from PLM, ERP, and other applications for a unified view, adhering to security and access control rules. eQube-MI streamlines data integration, application development, and ensures data security and accessibility.