Alternatives to sensemetrics

Tractian is the Industrial Copilot for maintenance and reliability, combining hardware and software solutions to monitor asset performance, manage industrial operations, and implement predictive maintenance strategies. Its AI-driven platform empowers businesses to prevent unplanned equipment downtime and boost production output. The company is headquartered in Atlanta, GA, and extends its presence globally with offices in Mexico City and Sao Paulo. Learn more at tractian.com.

There are countless devices operating in various environments such as residences, industrial sites, oil extraction facilities, medical centers, vehicles, and numerous other locations. As the number of these devices continues to rise, there is a growing demand for effective solutions that can connect them, as well as gather, store, and analyze the data they generate. AWS provides a comprehensive suite of IoT services that span from edge computing to cloud-based solutions. Unique among cloud providers, AWS IoT integrates data management with advanced analytics capabilities tailored to handle the complexities of IoT data seamlessly. The platform includes robust security features at every level, offering preventive measures like encryption and access control to safeguard device data, along with ongoing monitoring and auditing of configurations. By merging AI with IoT, AWS enhances the intelligence of devices, allowing users to build models in the cloud and deploy them to devices where they operate twice as efficiently as comparable solutions. Additionally, you can streamline operations by easily creating digital twins that mirror real-world systems and conduct analytics on large volumes of IoT data without the need to construct a dedicated analytics infrastructure. This means businesses can focus more on leveraging insights rather than getting bogged down in technical complexities.

SkyFoundry's software solutions allow clients to get the most out of smart system investments. SkySpark's analytics platform automatically analyzes data from control systems, sensors, and metering systems to identify patterns, deviations, and opportunities for operational improvement and cost reduction. SkySpark assists building owners and operators to "find what matters" from the large amount of data generated by today's smart devices.

Implement sensors tailored for IoT applications and enhance the data collected by integrating it with environmental and control system information. This integration should occur in real-time with enterprise data, facilitating the deployment of predictive algorithms to uncover fresh insights and leverage your data for impactful purposes. Utilize advanced analytics to foresee maintenance issues, gain insights into asset usage, minimize defects, and fine-tune processes. Capitalize on the capabilities of connected devices to provide remote monitoring and diagnostic solutions. Furthermore, use IoT analytics to anticipate safety risks and ensure compliance with regulations, thereby decreasing workplace accidents. Lumada Data Integration allows for the swift creation and expansion of data pipelines, merging information from various sources, including data lakes, warehouses, and devices, while effectively managing data flows across diverse environments. By fostering ecosystems with clients and business associates in multiple sectors, we can hasten digital transformation, ultimately generating new value for society in the process. This collaborative approach not only enhances innovation but also leads to sustainable growth in an increasingly interconnected world.

The data generated by IoT devices is predominantly unstructured, posing challenges for analysis using conventional analytics and business intelligence tools that cater to structured data formats. This type of data is often derived from devices that capture inherently noisy processes like temperature, motion, or sound, leading to frequent occurrences of significant gaps, corrupted messages, and erroneous readings that necessitate cleansing prior to any analytical work. Moreover, the significance of IoT data frequently relies on supplementary inputs from third-party data sources. For instance, vineyard irrigation systems enhance moisture sensor readings with rainfall data, assisting farmers in making informed decisions on when to irrigate their crops, thereby optimizing water usage and boosting harvest yields. AWS IoT Analytics simplifies and automates the complex steps involved in analyzing data from IoT devices, making it easier for users to gain insights. This service is fully managed and operates on a pay-as-you-go model, ensuring automatic scaling to accommodate varying data volumes. Consequently, organizations can leverage AWS IoT Analytics to advance their operational efficiencies and make data-driven decisions with greater ease.

TagoIO is a comprehensive cloud software platform that empowers users to convert IoT sensor information into intelligent solutions while avoiding the intricacies of cloud management. It enables the connection and oversight of devices across over 500 communication protocols, such as LoRaWAN, NB-IoT, Wi-Fi, satellite, BLE, MQTT, and HTTP, by utilizing pre-configured connectors that standardize device data. The platform delivers scalable device management, secure data storage, real-time visualization, tailored analytics, automation features, alerts, and multi-tenant access control, allowing users to create dashboards, workflows, and logic all within a unified environment. TagoIO streamlines the process of developing and launching IoT applications through the use of templates, intuitive drag-and-drop interfaces, and robust APIs, while efficiently managing backend infrastructure to facilitate swift development and deployment. Additionally, it provides sophisticated analytics to convert raw data into meaningful insights and accommodates edge computing, mobile accessibility, white-labeling options, and the ability to integrate with external systems, further enhancing its versatility. Overall, TagoIO stands out as a powerful tool for businesses seeking to harness the potential of IoT technology effectively.

Oracle’s IoT Intelligent Applications Cloud offers enhanced visibility, insights, and operational efficiencies by harnessing sensor data from interconnected devices, focusing on smart manufacturing, connected assets, logistics, workplace safety, and the customer experience. By leveraging IoT applications, businesses can boost revenue through improved efficiency, heightened supply chain transparency, and the introduction of innovative business models. Additionally, real-time sensor data facilitates the prevention of downtime by enabling proactive maintenance of machinery, vehicles, and various assets. Cost reduction is achievable by monitoring vehicle routes and tracking products during transit, ensuring optimal resource management. Furthermore, this platform helps maintain regulatory compliance and swiftly identifies causes of incidents through real-time insights into workplace conditions, ultimately fostering a safer work environment. Adopting these advanced IoT solutions can significantly transform operational strategies and drive sustainable growth.

Davra IoT empowers businesses, fleet operators, original equipment manufacturers (OEMs), municipalities, and various organizations to conceptualize, develop, and swiftly launch industrial-grade IoT applications on a dependable, secure, and scalable platform. Bring your IoT initiative to market in under 50 days, and enjoy a system that prioritizes integrations. Significantly cut your project costs by as much as 80%, while accessing comprehensive analytics that include descriptive, diagnostic, predictive, and prescriptive insights. Utilize our cloud-based streaming analytics alongside machine learning, natural language processing, and artificial intelligence capabilities directly at the network's edge. Benefit from HTML5 dashboard visualizations, sophisticated geo-mapping, and an intuitive layout manager, among other features. Gain access to a thorough developer suite that includes source control, versioning, and a full code editor. Achieve an "asset-centric view" of your IoT devices by incorporating both static and dynamic attributes into your applications. Additionally, take advantage of a fully microservice-oriented design that supports infrastructure libraries and runtime engines for enhanced efficiency and performance. This comprehensive approach ensures that your IoT solutions are not only functional but also adaptable to future technological advancements.

Discover a user-friendly Industry 4.0 solution tailored for your manufacturing business. We empower manufacturers to boost the efficiency and dependability of their production assets by utilizing IoT for gathering data, alongside our exclusive AI for predictive analytics, and a comprehensive platform offering actionable insights. By seamlessly integrating data from various sources, we enhance maintenance processes through predictive AI, thereby extending the lifespan and efficiency of machines. Our data-driven strategy fosters ongoing improvement by incorporating condition monitoring IoT sensors and gateways, a cloud-based data integration platform, and AI-enhanced predictive analytics algorithms, culminating in prescriptive analytics that deliver actionable insights. Experience real benefits from our software, which is grounded in customer feedback and technology research and development, and witness how these innovations can transform your manufacturing operations for the better. By adopting our solutions, you can pave the way for a smarter future in manufacturing.

SensorCloud stands out as an innovative platform for storing, visualizing, and remotely managing sensor data, utilizing robust cloud computing technologies to ensure exceptional scalability, quick data visualization, and customizable analytical capabilities. Among its key features are FastGraph, MathEngine®, LiveConnect, and the OpenData API, all designed to enhance user experience. The platform enables users to effortlessly construct dashboards for data visualization, ranging from straightforward Timeseries Graph widgets to more complex configurations featuring Radial Gauges, Text Charts, Linear Gauges, FFTs, and Statistics. Given that SensorCloud accommodates unlimited data uploads and LORD's sensors operate at very high sampling rates, the ability to swiftly visualize extensive datasets is crucial. Our search for an existing application that could manage substantial data volumes was unfruitful; thus, we developed a proprietary algorithm tailored to meet our unique needs and challenges in handling large-scale sensor data. Ultimately, this dedication to innovation ensures that SensorCloud remains a leader in the realm of sensor data management.

Discover the ease of your SaaS solution for Industrial IoT (Internet of Things), which requires no prior cloud knowledge to utilize effectively. Gaonic Industrial IoT Central serves as a fully managed global IoT SaaS solution tailored for businesses, enabling straightforward connection, visualization, analysis, and management of IoT assets on a large scale. Accelerate the launch of your connected products while keeping your focus firmly on customer needs with this SaaS offering. We specialize in providing a cloud-based sensor analytics platform designed specifically for the Internet of Things (IoT). This emerging trend is rapidly transforming industries by fostering product innovation and enhancing revenue possibilities through the interconnectivity of smart devices. Leveraging cloud technologies, Gaonic ensures a seamless networking experience, even for remote systems, thus simplifying the integration of various devices into your operations. By embracing this innovative approach, your organization can stay ahead in the competitive landscape of IoT solutions.

The Predix Platform serves as the backbone for industrial operations. It is an asset-focused and scalable data foundation that functions as a secure application platform capable of running, scaling, and enhancing digital industrial solutions. This platform provides essential shared capabilities necessary for industrial applications, including asset connectivity, edge technology, analytics, machine learning, big data processing, and the creation of asset-centric digital twins. As a distributed application platform, the Predix Platform is finely tuned for managing and analyzing high volumes of data with low latency, ensuring effective integration. Additionally, Predix Essentials offers a comprehensive solution tailored for industrial monitoring and event management. This tool harnesses the power of the Predix Platform, incorporating asset connectivity and edge-to-cloud data processing along with a robust user console, all pre-configured for swift implementation—eliminating the need for any development effort. With Predix Essentials, organizations can quickly achieve operational efficiency and enhanced insights.

Receive notifications before maintenance issues escalate into equipment failures with our system. You will be alerted via text and email whenever temperatures deviate from acceptable levels. By ensuring optimal moisture levels, you can achieve maximum productivity. Our Monitoring and Control Systems will notify you immediately if any aspect of your operation is not functioning properly. Keep track of cavvines, drugs, samples, and more to ensure quality and regulatory compliance. Prioritize safety and compliance in your operations. You can remotely monitor machinery and performance to ensure everything runs smoothly. Safeguard people, places, and assets with our comprehensive sensors. Utilize remote monitoring for proactive maintenance to reduce downtime effectively. Rest easy knowing your cold storage is secure, and continuously monitor food holding temperatures. Track the health of your machines to address issues before they lead to failures and maintain a comfortable and safe environment. Sense IoT offers customers efficient wireless remote monitoring systems aimed at enhancing building maintenance and management. Our mission is to boost efficiency, minimize downtime during scheduled maintenance, enhance workplace safety, and provide facility managers with improved control over their environments. With our innovative solutions, you can transform the way you manage your facilities for better outcomes.

Introducing an advanced digital manufacturing platform driven by the Internet of Things, Datonis offers ready-to-use applications that facilitate monitoring, measuring, analyzing, and forecasting outcomes harnessing the capabilities of artificial intelligence. This platform adopts a holistic approach to integrate IT and operational technology systems, enabling the monetization of expertise through the development of new applications and services. The system includes interplant process benchmarking and predictive models for quality assurance, alongside real-time compliance checks for quality audits. It features alerts for process compliance, trends in Cpk, and monitoring of quality rejections and scrap, all while establishing correlations between processes and defects. The platform also provides alerts for checklist schedule violations, conducts trend analyses on checklist data, and offers a flexible framework for creating diverse types of checklists. Users can receive checklist notifications, log observations on mobile devices, and consult images and videos before making decisions regarding checklist items. Additionally, there is an interactive application for operators, enabling them to engage with the platform and track progress in real-time, while the operator workbench allows them to provide feedback, raise alarms, request assistance, and access engineering documentation as needed. This comprehensive integration not only enhances operational efficiency but also fosters a culture of continuous improvement within manufacturing processes.

C3 AI® Sensor Health guarantees the efficient operation of IoT devices and their network infrastructure throughout both the installation and operational phases of these devices. It allows users to visualize the status of sensors, track deployment progress, and pinpoint geographic areas that may require attention, while also providing a prioritized list of sensors that have been flagged for health concerns. Users can uncover issues related to sensor deployment, determine the origins of malfunctions, streamline field service operations, and anticipate future deployment advancements. It is crucial to maintain accuracy, consistency, and up-to-date installation information across both source and cloud data systems. Additionally, the platform facilitates the monitoring and analysis of the physical integrity, functionality, and communication capabilities of sensor devices, which aids in improving field service and resolving issues effectively. Users can visualize planned sensor installations alongside actual deployment and provisioning advancements, along with tracking operational problems and trends related to devices, and prioritize service tasks accordingly. The system also generates comprehensive analyses and consolidates findings through both preformatted and customized reports, which cover aspects such as failure analysis and health assessments, thus providing valuable insights for decision-making. Overall, this robust solution enhances the management and performance of IoT ecosystems.

Acquire specialized industry components, tailored applications for various interfaces, external applications, extensive cloud solutions, and additional resources for your enterprise. Benefit from comprehensive solutions and services on your Cumulocity IoT platform to enhance your organization's visibility, implement effective strategies, and cultivate the adaptability necessary for future challenges. Harness the capabilities of our Computer Vision products to exceed the limitations of human perception, enabling you to decipher intricate visual data, gather precise information, and drive business expansion. Additionally, obtain customized turnkey software, advanced big-data analytics, develop cutting-edge operational frameworks and digital strategies, and implement scalable, interoperable solutions to meet your evolving needs. With these resources, your business can thrive in an increasingly competitive market.

Utilize a comprehensive, AI-integrated solution to access, organize, select, and transform data from the Internet of Things. SAS Analytics for IoT encompasses the entire analytics life cycle related to IoT, featuring a streamlined and extensible ETL process, a data model focused on sensors, and an advanced analytics framework supported by a premier streaming execution engine that facilitates complex multi-phase analytics. Powered by SAS® Viya®, this solution operates efficiently within a fast, in-memory distributed setting. Discover how to create SAS Event Stream Processing applications capable of handling high-volume and high-velocity data streams, delivering real-time responses while retaining only the essential data elements. This course introduces fundamental principles of event stream processing, detailing the various component objects that can be utilized to construct effective event stream processing applications. Our commitment to curiosity drives innovation, as SAS analytics solutions convert raw data into actionable insights, empowering customers globally to embark on bold new ventures that foster advancement. Embrace the future of data analytics and unlock limitless possibilities with SAS.

IoTWorX™ integrates ICONICS' advanced IoT software technology with its established HMI/SCADA systems, analytics, and mobile applications operating in the cloud. This platform provides manufacturers and facility managers with essential IoT capabilities, such as asset connectivity, secure cloud communications, and integrated real-time visualization features. By utilizing edge analytics, latency is greatly reduced, and FDD technology is employed to enhance cost savings and boost operational effectiveness. Furthermore, users have the flexibility to connect with nearly any automation equipment by utilizing a variety of supported industry protocols, including OPC UA, BACnet, SNMP, Modbus, web services, and traditional OPC tunneling. This comprehensive approach ensures that businesses can maintain a competitive edge in their operations.

Infor's Internet of Things (IoT) platform facilitates the secure collection of sensor data from any location, handling it effectively at scale. By integrating this sensor data with the information from Infor CloudSuite™ EAM, users gain enhanced insights into asset health monitoring. This enriched context significantly improves the ability to detect exceptions, streamline workflows, enhance reporting, and utilize data analytics alongside machine learning techniques. The sensor data collected through Infor IoT is stored within the Infor Data Lake, opening up extensive opportunities for more comprehensive IoT data utilization. Additionally, device data can be supplemented with various attributes and metadata, which enhances search capabilities and device management functionalities. Users can monitor telemetry in almost real-time through a sophisticated rule engine, while device templates simplify the setup and onboarding processes. The architecture of the portal is designed with scalability in mind, and it includes a versatile rule editor for conditions and actions, enabling tailored automation and responsiveness. Overall, Infor IoT presents a robust solution for managing and analyzing Internet of Things data efficiently.

Thinaer's innovative solution combines data generated by machines, insights from employee feedback, and AI-driven analytics to deliver unparalleled operational intelligence and actionable insights. Utilizing Bluetooth Low Energy (BLE) technology alongside an API-focused user interface, Thinaer's Industrial Internet of Things platform effectively captures vital operational metrics. This platform monitors various factors such as location, vibration, temperature, humidity, current draw, proximity, and beyond. Furthermore, Thinaer's unique feedback application integrates real-time input into everyday business workflows, allowing for valuable contributions from employees, clients, and other key stakeholders. By merging this employee feedback with IIoT data, our analytics help clients discern the current situation, understand the underlying reasons, and determine the appropriate actions to take. The in-platform analytics dashboard offers immediate visibility into operational performance, while our advanced analytics harness machine learning and artificial intelligence to boost efficiency and reduce costs. As a result, businesses can make informed decisions that lead to better outcomes and a more streamlined operational process.

ThingSpeak™ is a cloud-based analytics platform designed for the Internet of Things (IoT) that enables users to collect, visualize, and analyze real-time data streams. It offers immediate graphical representations of the information submitted by connected devices, making it easier to interpret data. Additionally, the platform allows users to run MATLAB® code, facilitating real-time analysis and processing of incoming data. Often utilized for developing prototypes and proof of concept IoT applications that necessitate analytical capabilities, ThingSpeak exemplifies the growing trend of interconnected devices. This trend, known as the Internet of Things (IoT), involves a multitude of embedded devices that connect to the Internet, enabling communication between devices and humans alike. These devices frequently send sensor data to cloud storage and computing systems, where it is analyzed to extract valuable insights, thanks to the affordability of cloud computing and the surge in device connectivity. As these technologies advance, the potential applications for IoT continue to expand, paving the way for innovative solutions across various industries.

Kallipr Kloud serves as an advanced industrial IoT software solution that oversees extensive monitoring networks related to water, wastewater, stormwater, environmental, and industrial operations. It efficiently manages the entire lifecycle of devices, facilitating rapid deployment through configuration templates, secure registration, remote updates, and real-time diagnostic capabilities. By offering operators a comprehensive perspective of their network, the platform enables them to access live insights, perform trend analyses, and manage alarms effectively for issues such as blockages, leaks, and pressure fluctuations. Kallipr Kloud seamlessly integrates with Azure and allows data transfer into existing SCADA, GIS, or analytics systems without the need for middleware. Built with scalability in mind, it ensures secure communications, prolonged device longevity, and optimal uptime. When paired with Kallipr’s data loggers, radar sensors, and multi-sensor gateways, it delivers an all-encompassing hardware and software solution utilized by more than 300 organizations in Australia, New Zealand, and the United States. This comprehensive approach positions Kallipr Kloud as a leader in the industrial IoT space, meeting the diverse needs of its users effectively.

CloudRail offers a comprehensive, fully managed platform for gathering data from industrial settings, enabling local preprocessing and seamless transmission to various cloud services with a Plug&Play approach. Suitable for both new installations and legacy systems, CloudRail leverages industry standards like OPC-UA to interface with contemporary equipment while retrofitting older machines with additional sensors. With a repository of over 12,000 sensor definitions and automated processes for data normalization and device provisioning, CloudRail dramatically cuts the time required to connect a machine to the cloud from weeks to mere hours. In addition to expediting the return on investment for Industrial Internet of Things (IIoT) initiatives, CloudRail features a cloud-based device management system that empowers enterprise clients to efficiently deploy, oversee, and update thousands of edge devices spread across the globe. This solution not only ensures a smooth transition from initial proof of concept to expansive IIoT environments but also enhances operational efficiency by simplifying device management throughout the entire lifecycle.

The RemoteAware™ GenAI Analytics Platform for IoT revolutionizes the interpretation of intricate sensor and device data streams by delivering clear and actionable insights through cutting-edge generative AI techniques. This platform is capable of ingesting and normalizing massive volumes of diverse IoT data sourced from edge gateways, cloud APIs, or remote assets, utilizing scalable AI pipelines to identify anomalies, predict equipment malfunctions, and produce prescriptive recommendations articulated in straightforward narratives. With a cohesive, web-based dashboard, users benefit from immediate access to crucial performance metrics, customizable alerts, and notifications based on set thresholds, along with the ability to dynamically drill down for time-series analysis. Additionally, the platform's generative summary reports distill extensive datasets into succinct operational briefs, while its capabilities in root-cause analysis and what-if simulations support proactive maintenance and optimal resource distribution. Ultimately, this platform empowers organizations to make data-driven decisions efficiently and effectively.

Fogwing is the next-generation Industrial IoT platform. It has features that allow you to create IoT Solutions for a variety of industrial use cases, including asset tracking, predictive maintenance, and asset monitoring. Without needing to be an expert in information technology, users can create and deploy IoT-based automation solutions. Extended data analytics allows for data-driven analytical processes that predict operational risks and take action at lower TCO.

Our centralized, hardware-agnostic platform for edge management will help you to drive efficiency and scale. Platform designed to give industrial edge teams and enterprise teams better visibility and access over their edge devices, data and applications. Visualize data across all sites and centrally distribute applications to maximize exponential opportunities. Drive operational efficiency by using deployment templates, and send secure updates over the air to scale IIoT quickly. Create templates for rapid deployment of IIoT devices to tens or even hundreds of sites. Easily deploy large-scale IIoT deployments to all your sites. Remote management, troubleshooting, and over-the air updates streamline maintenance. Use Litmus Edge Manager to manage the entire edge lifecycle.

Enhance the accessibility and efficiency of your HMI/SCADA platform by leveraging the capabilities of the Internet of Things (IoT). The IoT perceives the world as a smart and interconnected ecosystem, aiming to link various assets, or "things," within a comprehensive software network that constitutes a smart grid. These "things" possess features for actuation, control, automation, and autonomous operation. The integration of these devices leads to the accumulation of extensive data, providing users with unprecedented opportunities and insights. With ICONICS’ SCADA integrated with IoT, this data is harnessed to offer operators a new dimension of actionable intelligence. The ICONICS IoT solution interconnects your buildings, facilities, and equipment through secure TLS encryption and Microsoft Azure, ensuring your cloud data is readily accessible from anywhere. Utilizing a pub/sub architecture, it facilitates real-time visualization of key performance indicator (KPI) data right at the edge. Additionally, we provide a reliable and secure connection to the cloud using bi-directional AMQP specifically designed for Microsoft Azure, ensuring seamless data flow and operational efficiency. This integration not only enhances system performance but also empowers users to make informed decisions based on real-time data analysis.

Orquestra IIoT Data Manager serves as the comprehensive platform for data collection, effectively overseeing field data and transmitting insights regarding all company applications. This solution enables seamless communication with various machines and devices in the field, regardless of differing technologies, while standardizing the generated information to provide a unified interface that gathers data on machine operations and production workflows. Users can customize how processes are monitored, enhancing the accessibility of information and streamlining the management of production lines. It delivers real-time Overall Equipment Effectiveness (OEE) metrics, evaluates performance levels from production facilities, and ensures the precision of the data collected. The platform also automates the data gathering process, tracking progress and production seamlessly. Additionally, it offers instant reporting of events and critical situations, allowing for prompt corrective measures to be taken. With these features, Orquestra IIoT Data Manager significantly enhances operational efficiency and responsiveness in manufacturing environments.

XY Sense offers an innovative platform for workplace occupancy intelligence, utilizing cutting-edge, privacy-focused sensors paired with a comprehensive cloud analytics suite to continuously gather anonymous data on occupancy and utilization in real time across various spaces such as desks, meeting rooms, and floors. This allows organizations to effectively track their space usage and implement data-informed strategies for hybrid work, facility management, and portfolio optimization. The sensor suite incorporates wide-area, entry/exit, and presence detection technologies that accurately identify human presence within a foot every few seconds, ensuring privacy by transmitting only X-Y coordinates instead of personal identifiers. Additionally, their Insights Platform converts the collected data into practical dashboards, live usage monitoring, predictive analytics, and APIs, facilitating seamless integration with existing workplace management systems. By leveraging this advanced technology, companies can enhance their operational efficiency and adapt to the evolving needs of their workforce.

HyperConnect serves as a robust, open-source framework designed for enterprise-level Internet-of-Things applications, leveraging the Elastos Peer-to-Peer Carrier Network to efficiently direct traffic among connected devices. Its modular design ensures a reliable foundation suitable for various industry sectors within the IoT landscape. Critical aspects such as communication, data transmission, and storage are essential components of the Internet of Things ecosystem. By visualizing data, users can extract valuable metrics, identify trends, and gain deeper insights. The integrated compiler enables the creation, management, and validation of Python scripts tailored for sensor management at a granular level. Furthermore, it enables real-time data collection from diverse sources, transforming raw inputs into actionable insights automatically. Users can effortlessly oversee and control numerous devices and sensors, whether on-site or from a distance, maintaining security throughout the process. The intuitive Graphical User Interface (GUI) is designed for maximum adaptability, allowing users to operate with little or no coding required. Additionally, the framework ensures secure peer-to-peer communication across the IoT network, empowering users to retain ownership of their data while enhancing overall system integrity and performance. This comprehensive approach not only simplifies the management of IoT systems but also promotes innovative applications across different sectors.

Turn machine data into actionable insight - fast. FourJaw technology turns live machine data into clear, usable insights, empowering better decisions across every shift, every site and every machine. Not just when a machine stops, but where energy’s being wasted, where jobs are stalling and where time and capacity slip away. FourJaw’s plug-and-play IoT hardware connects to almost any machine. It’s installed in minutes with no disruption and no downtime. Real-time insights into performance, OEE, energy, and output, all in one intuitive platform, with configurable dashboards that show the data manufacturers need, how they need it, making reporting and analysis feel effortless. See what’s underperforming, what needs improving, and where to act next. From one machine to the entire factory, it’s simple to install and built to scale. FourJaw. Factory Intelligence. Made Simple.

Unlock the full potential of your enterprise's time-series data with the dataPARC Historian. This solution elevates data management, facilitating smooth and secure data flow across your organization. Its design ensures easy integration with AI, ML, and cloud technologies, paving the way for innovative adaptability and deeper insights. Rapid access to data, advanced manufacturing intelligence, and scalability make dataPARC Historian the optimal choice for businesses striving for excellence in their operations. It's not just about storing data; it's about transforming data into actionable insights with speed and precision. The dataPARC Historian stands out as more than just a repository for data. It empowers enterprises with the agility to use time-series data more effectively, ensuring decisions are informed and impactful, backed by a platform known for its reliability and ease of use.

Enhanced analytical tools are designed to anticipate and recommend subsequent steps for areas such as performance, production, maintenance, and energy efficiency. These tools include configuration-driven application services that facilitate user management, workflow, notifications, visualization, and comprehensive analytics. They are compatible with various cloud providers, including AWS, Microsoft Azure, and Google, and support diverse deployment models, encompassing public, private, and edge environments. Additionally, they enable complete edge cloud deployment and management, ensuring flexibility and scalability. The solutions allow for seamless integration with any industrial data sources, enterprise IT systems, and sensor data, ensuring comprehensive data utilization. They also prioritize secure access control for both machines and users, along with robust data protection and encryption measures. With ISO 27001 certification, these applications have undergone external validation by recognized agencies, confirming their commitment to security and compliance. Ultimately, this holistic approach not only enhances operational efficiency but also fosters a secure environment for data-driven decision-making.

AWS IoT SiteWise is a managed service designed for the efficient collection, storage, organization, and monitoring of industrial equipment data at scale, enabling more informed, data-driven decisions. This service allows for the oversight of operations across multiple facilities, rapid calculation of key industrial performance metrics, and the development of applications that analyze equipment data to mitigate expensive issues and minimize production delays. By facilitating consistent data collection across various devices, it aids in the swift identification of problems through remote monitoring while enhancing multi-site operations with a unified data approach. Currently, extracting performance metrics from industrial equipment poses significant challenges due to data being confined within proprietary on-premises storage systems, often necessitating specialized skills to access and format it for analysis. AWS IoT SiteWise addresses this challenge by deploying software on a gateway located within your facilities, streamlining the data management process and making it more accessible for various stakeholders. As a result, businesses can focus on leveraging this data to optimize their operational efficiencies and drive innovation.

Memfault upgrades Android and MCU-based smartphones to reduce risk, ship products quicker, and resolve issues quickly. Developers and IoT device makers can easily and quickly monitor and manage the entire device's lifecycle, including feature updates and development, by integrating Memfault in smart device infrastructure. Remotely monitor firmware and hardware performance, investigate issues remotely, and roll out targeted updates incrementally to devices without interrupting customers. You can do more than just application monitoring. Get device- and fleet-level metrics like battery health, connectivity, and crash analytics for firmware. Automated detection, alerts and deduplication make it easier to resolve issues faster. Customers will be happy if bugs are fixed quickly and features are shipped more often with staged rollouts (cohorts) and for specific device groups (cohorts).

IoT-edge Solution for Industry4.0, Smart Monitoring and Buildings. Monitor and control energy consumptions, increase energy efficiency, and improve productivity. Enture Edge and Enture IoT allows you to connect existing VFDs, PLCs, energy meters, etc to the Cloud. You can get started quickly with Enture Cloud HMI (mobile/webapp) installation and configuration without complicated engineering or protocol configurations. The Enture Edge is a new technology that encrypts data from all devices, VFDs and energy meters. It then syncs the data with Enture Cloud for multiple users to view via web and mobile apps. Enture can store the data locally and sync it to the cloud in the event of an internet outage. Give your factories an edge by upgrading from Industry3.0 into Industry4.0. Enture IoT Edge has been created to facilitate the I4.0 transition through plug-and-play integration.

In many IoT solutions, the cloud serves merely as a final destination for data. However, with SkkyHub™, the cloud transforms into a dynamic conduit that facilitates real-time data streaming from any location to any desired endpoint. This innovative platform allows for seamless connections between operational technology (OT) and information technology (IT), enables machine-to-machine (M2M) communication, and establishes links among remote sites, all while maintaining minimal network latency measured in microseconds. Whether you need to monitor data from your devices or plants or send commands, updates, and configurations back to your system—SkkyHub™ supports both functionalities effortlessly. The DataHub gateway and endpoints equipped with ETK utilize the DHTP protocol to maintain a data-only connection, ensuring that no VPNs are necessary and keeping your OT and IT networks intact. By utilizing outbound DHTP connections, all inbound firewall ports remain secure and closed, eliminating any potential attack surfaces in your facility, devices, or office. With the ability to stream up to 100,000 data points in real time, you can gain a comprehensive overview of your operations. Additionally, with three distinct service levels—Basic, Standard, and Professional—you can select a service option that best suits your requirements and budget, enhancing the flexibility and scalability of your IoT solutions. This approach empowers organizations to harness the full potential of their data while ensuring robust security and operational efficiency.

Enhance your knowledge, accelerate your decision-making, and observe the results as they happen. Whether referred to as industry 4.0, Industrial IoT, or Device Management, Ardexa facilitates secure connections among these elements. Monitoring the performance of products and operations in real-time is crucial for success. Ardexa's open IoT platform gathers essential data for analyzing performance, anticipating failures, and enabling remote management of widely distributed assets. This pre-packaged solution allows for the secure deployment of devices without requiring expertise in security. By utilizing digital certificates, Ardexa ensures that each agent is identified and authenticated. All cloud communications are encrypted and verified, securing both your devices and data. With our agent, devices can now be connected more swiftly and efficiently than ever before, as it is pre-compiled and free of dependencies, simplifying the integration process. This innovative approach empowers businesses to harness the full potential of their operational data seamlessly.

Cumulocity offers an enterprise-grade AIoT platform that connects & manages assets efficiently, transforms raw device data into AI-ready data, and orchestrates innovation from cloud to edge, combined with a team of experts and a large ecosystem of device, technology, and implementation partners to achieve lasting customer success. Cumulocity is the preferred choice for industrial equipment makers to develop high-value digital services and is trusted by leading companies worldwide as their partner, knowing they have access to the software and services needed to power their smart connected products in manufacturing, fleet management, consumer electronics, and more. Transform your equipment data into AI-powered insights & actions that drive business value. Securely connect your machines and analyze their data to power usage insights, detect anomalies, implement predictive maintenance, drive performance optimization and enhance the customer experience. Connect to innovate: The journey from connected to smart products requires both expertise and the right foundation. The Cumulocity AIoT platform bridges connectivity and data-driven innovation while reducing technical complexity for your teams. Our network of experts and partners empower you to create differentiated digital solutions, whether connecting your first device or scaling across millions.

Devices like sensors and wearables, along with systems such as CRM and relational databases, contribute to a vast array of data storage options. As your organization gathers and retains information from an increasing number of sources and locations, harnessing the full potential of this data requires a cohesive business intelligence solution that seamlessly integrates everything into one platform. You require a system that empowers you to analyze and visualize your data instantaneously, enabling you to make well-informed decisions in just seconds. Embrace the transition from isolated data storage to a more empowered approach with MotionBoard Business Intelligence, where efficiency and insight meet for optimal decision-making. By utilizing such a comprehensive tool, your organization can enhance its data-driven strategies and significantly elevate overall performance.

Intelligently linking and analyzing data with sterison Industrial Internet of Things (IIoT). Digitalization and automation are the game changers to meet these challenges on the way to Industry 4.0. It is essential to collect, understand and use the massive amount of data created in the Industrial Internet of Things (IIoT). The Digital Enterprise is doing exactly this by combining the real and the digital worlds. As a result, the infinite amount of data allows us to use our finite resources efficiently and with that make the industry more sustainable. We guarantee a smooth transition towards Industry 4.0, by ensuring the step-by-step transformation of every segment of the supply and production chain. There would be no hype nor double-digit growth estimates concerning the concept of Factory 4.0 if it weren’t for the benefits that the introduction of smart manufacturing processes can bring to any business. Creating a dynamic production environment thanks to the application of both automation and intelligence improves reliability, effectiveness and safety while reducing operation and downtime costs.

Kosmos champions open hardware and data protocols, delivering exceptional flexibility without sacrificing user-friendliness. You maintain control over your data and devices, steering clear of proprietary solutions and vendor lock-in. There's no need for any coding or software expertise, as Kosmos automatically generates the necessary applications, fine-tuning device code to reduce power and memory usage effectively. Additionally, it provides proactive alerts about potential issues and sends automatic notifications when unusual sensor events arise. Effortlessly gather environmental data using connected sensors, all without the need for programming skills. This seamless integration allows users of all backgrounds to harness the power of technology with ease.

Meet IXON Cloud: the industrial IoT platform that grows with you. 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. Or work on your service ambitions and increase revenue with data-driven business models with Service Lifecycle Cloud. The IXON Cloud solution is scalable and open to integrate with third party apps, so you can customise it to your own unique situation. With IXON’s Remote Access Cloud troubleshooting becomes simple, secure and fast, wherever you are. Benefit from a Plug & Play setup, clear interface and a reliable connection. With IXON’s Service Lifecycle Cloud you benefit from a no-code data studio and open architecture. Launch your own portal with a short time-to-market and low maintenance.

Analyze and utilize your data at the Edge to transform Big Data into manageable, pertinent insights. Gather sensor information from all your equipment and establish connections with various devices like sensors, PLCs, DCS, MES, or historians. Implement condition monitoring for assets located remotely, aligning with Industry 4.0 standards for effective data collection and integration. Merge real-time streaming data with enterprise data for seamless data flows, and utilize your preferred Cloud Provider or your own data center for data storage solutions. Leverage Crosser Edge's MLOps capabilities to bring, manage, and deploy your custom machine learning models, with the Crosser Edge Node supporting any machine learning framework. Access a centralized library for your trained models hosted in Crosser Cloud, and streamline your data pipeline using a user-friendly drag-and-drop interface. Easily deploy machine learning models to multiple Edge Nodes with a single operation, fostering self-service innovation through Crosser Flow Studio. Take advantage of an extensive library of pre-built modules to facilitate collaboration among teams across different locations, effectively reducing reliance on individual team members and enhancing organizational efficiency. With these capabilities, your workflow will promote collaboration and innovation like never before.

LotusEye offers a cloud-based service for AI-driven anomaly detection that autonomously acquires knowledge of standard behavior from numerical or sensor data provided in CSV format and consistently computes anomaly scores to identify irregularities that could signify faults or unforeseen activities, delivering notifications and visual analytics without necessitating any machine learning expertise from users. The service accommodates both wide-format CSV files, where every row corresponds to sensor readings at specific timestamps, and long-format CSV files that include timestamp, sensor name, and value columns, allowing users to upload their data either through a simple drag-and-drop interface or via an API for automated processing on a scheduled basis. Once an AI model is trained using data from normal operations, users can then input test data to obtain calculated anomaly scores and view these results on dashboards featuring time-series graphs, threshold markers, and filtering options, which assist teams in identifying unusual trends and probing potential concerns swiftly. This streamlined process enhances operational efficiency and empowers teams to act on insights generated by the platform.