Alternatives to SensorCloud

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.

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.

Gain secure access to cutting-edge data visualization and analytics at your convenience, no matter the time or place. Utilize sophisticated device management features, diagnostics, and analytics to oversee distributed sensor networks effectively. Develop tailored image-based visualizations that incorporate embedded sensor information and their respective alert statuses. Construct data tables that feature both raw and calculated metrics for easy viewing, comparison, and exportation. Document and track changes to system and sensor properties throughout the entire project lifecycle to ensure comprehensive oversight. Specify conditions for calculating user-defined thresholds and enable adaptable notification distribution based on those criteria. Bring in essential documents, images, inspection logs, and event data to serve as a detailed record of project advancements and performance metrics. Leverage powerful tools for creating and disseminating reports while seamlessly linking those reports to real-time visualizations such as charts, graphs, maps, and dashboards. This integrated approach not only enhances project management but also improves decision-making and accountability throughout the project’s duration.

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.

XL is the OEE software that is most simple and easy to use from the company behind oee.com. XL has been installed on over 25,000+ manufacturing processes in 45 countries. It can be installed on any manufacturing process with 2 sensors and a barcode reader. XL provides real-time dashboards, historical reporting, instant email and SMS alerts, as well as instant email and SMS notifications. Get a free 90-day trial to improve your manufacturing OEE.

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.

ClearBlade is at the forefront of enterprise digital transformation by utilizing Intelligent Assets. Their innovative "no-code" IoT Application, built on the ClearBlade IoT & Edge Platform, combines AI, edge-native computing, and remarkable adaptability, enabling operational teams to accomplish tasks efficiently. In the aviation sector, mechanics face the challenge of maintaining aircraft according to a rigorous schedule that requires precise tools and equipment. Unfortunately, equipment on airfields is frequently misplaced, lost, or stolen, leading to costly replacements, operational delays, and unnecessary redundancies. To combat this, ClearBlade Edges are strategically deployed to gather data from cameras, sensors, and various infrastructures, all of which streams to the ClearBlade Platform to standardize and process the information into a unified data system. This integrated data feeds into Business Intelligence dashboards, providing valuable operational insights. Additionally, the rapid market introduction ensures compliance with distancing, occupancy, and safety mandates, thereby enhancing overall operational efficiency. By leveraging these advanced technologies, organizations can significantly improve their resource management and decision-making processes.

Zoho IoT is a unified IoT application development platform that enables enterprises and system integrators to connect devices, process real-time data, and automate operational workflows at scale. It supports diverse use cases including smart infrastructure, industrial automation, energy optimization, fleet tracking, and remote asset monitoring. The platform offers native support for industrial and IoT protocols, real-time stream processing, configurable digital twins, and rule-based automation for alarms, actions, and integrations. Zoho IoT also supports edge computing scenarios, allowing critical data processing closer to devices for reduced latency and improved reliability. Designed for scalability and flexibility, Zoho IoT allows teams to build custom dashboards, analytics, and workflows using low-code tools while maintaining full control over security, data retention, and access policies. Its integration with the broader Zoho ecosystem enables seamless connection between operational data and business systems, driving smarter, data-driven decisions.

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.

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.

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.

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.

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.

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.

Revolutionize your operations using Cisco's cloud-oriented dashboard, which allows you to deploy, monitor, troubleshoot, and gather insights on your networking devices and associated equipment efficiently. Experience top-tier cybersecurity, robust application management, Secure Equipment Access, and seamless integration with Cisco Meraki video solutions. Accelerate your scalability through plug-and-play, zero-touch deployment alongside secure, pre-configured templates. Enhance the uptime of both your devices and connected equipment by leveraging the monitoring and alerting features of the dashboard. Optimize operations at the edge by utilizing comprehensive data insights that empower decision-making. This cloud-based dashboard provides enhanced visibility and control over Cisco industrial gateways, sensors, and data, ensuring you stay ahead in your network management. By integrating these capabilities, your organization can achieve unprecedented operational efficiency and responsiveness.

It facilitates device connectivity through widely accepted IoT protocols such as MQTT, CoAP, and HTTP, accommodating both cloud and local installations. ThingsBoard is engineered for scalability, reliability, and high performance, ensuring that your data remains secure and intact. You can provision, monitor, and manage your IoT devices securely by utilizing comprehensive server-side APIs. Establish connections among your devices, assets, customers, or other entities with ease. Efficiently gather and archive telemetry data in a scalable and resilient manner. You can visualize your data using either built-in or personalized widgets and adaptable dashboards, which can also be shared with clients. The platform allows you to create data processing rule chains, enabling you to transform and standardize your device data. It can trigger alerts based on incoming telemetry events, updates to attributes, periods of device inactivity, and user interactions. Build a ThingsBoard cluster to achieve maximum scalability and fault tolerance through a microservices architecture. Furthermore, ThingsBoard accommodates both cloud and on-premises setups, making it a versatile choice for various deployment needs. This flexibility ensures that users can tailor their IoT solutions according to specific requirements and preferences.

Are you overseeing the operation or development of robotic fleets? Robot Cloud offers an ideal platform for gaining insights into device conditions while ensuring quick resolutions to potential issues. Whether you are conducting field trials for autonomous vehicles or managing a fleet of commercial transport options, MODE enables you to gather real-time sensor data from your vehicles and trips, allowing for immediate application to enhance operational efficiency. Leveraging cloud-based technology, MODE seamlessly integrates with any required sensors, ranging from Smart Home management to tracking utility expenses in manufacturing settings. With capabilities for large-scale real-world data system analysis, it provides continuous monitoring and firmware management for over 10,000 installations. Designed to reliably transmit data even in challenging network conditions, our Gateway ensures consistent data collection and analysis, available around the clock for extended periods. Furthermore, you can initiate your journey with as little as one unit for testing purposes, making it a much quicker and more cost-effective alternative compared to traditional in-house solutions, enabling businesses to innovate without significant upfront investments.

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.

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.

An entirely managed cloud-based solution that facilitates device registration, connectivity, control, quick visualization, and data storage. By integrating chip, app, and cloud technologies, users can fully leverage Watson's cognitive APIs, feature-rich dashboards, extensive developer tools, and top-tier security measures to enhance insights in enterprise IoT. This service provides predictive, real-time, and edge analysis of user, machine, and environmental data, utilizing machine learning and cognitive APIs. It enables governance over applications and devices within an IoT framework, monitoring usage and performance trends, detecting anomalies, and validating data and transactions. The platform connects IoT devices, networks, and gateways through an expanding ecosystem that employs open standards-based communications such as MQTT and HTTPS. Furthermore, it allows for the identification, aggregation, and transformation of data from various IoT sources into structured asset-based data. Users can harness their IoT data to gain insights into current conditions and trends, analyze unstructured data from videos and images, and extract valuable information from unstructured textual data. Ultimately, this service empowers organizations to make informed decisions based on comprehensive data analysis and visualization.

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.

Cloud IoT Core is a comprehensive managed service designed to facilitate the secure connection, management, and data ingestion from a vast array of devices spread across the globe. By integrating with other services on the Cloud IoT platform, it offers a holistic approach to the collection, processing, analysis, and visualization of IoT data in real-time, ultimately enhancing operational efficiency. Leveraging Cloud Pub/Sub, Cloud IoT Core can unify data from various devices into a cohesive global system that works seamlessly with Google Cloud's data analytics services. This capability allows users to harness their IoT data streams for sophisticated analytics, visualizations, and machine learning applications, thereby improving operational workflows, preempting issues, and developing robust models that refine business processes. Additionally, it enables secure connections for any number of devices—whether just a few or millions—through protocol endpoints that utilize automatic load balancing and horizontal scaling, ensuring efficient data ingestion regardless of the situation. As a result, businesses can gain invaluable insights and drive more informed decision-making processes through the power of their IoT data.

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.

A hardware agnostic, Industrial Data Platform that allows manufacturing companies to do more with their data. Litmus Edge creates a data layer that makes IIoT more accessible on the factory floor and across the enterprise so you can focus on what matters most for your business. With Litmus Edge Manager, you also get a centralized management and orchestration layer for device, data, application and ML model management at any scale across plants and geographies. Now try our product for free. 15 days of free trial to check all the features, free access to our documentation, how to guides, along with access to our experts. Wanted a fully loaded hosted instance for a starter node? Just let us know.

An IoT gateway serves as a bridge between edge devices, controllers, and sensors, and the cloud, facilitating the collection and transmission of data. If you are looking to harness intelligent data and unlock the potential of IoT, the Nebulus™ IoT Gateway is the perfect starting point. The Internet of Things is reshaping various industries, yet the challenge of seamlessly connecting and managing your devices persists. Codit is dedicated to assisting organizations with integration, APIs, cloud development, and IoT solutions. The Nebulus™ IoT Gateway is specifically designed to simplify the connection and management of your devices, allowing you to concentrate on reaping the business advantages that IoT offers. By leveraging this gateway, you can enhance operational efficiency and drive innovation within your organization.

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.

Machbase is a leading time-series database designed for real-time storage and analysis of vast amounts of sensor data from various facilities. It stands out as the only database management system (DBMS) capable of processing and analyzing large datasets at remarkable speeds, showcasing its impressive capabilities. Experience the extraordinary processing speeds that Machbase offers! This innovative product allows for immediate handling, storage, and analysis of sensor information. It achieves rapid storage and querying of sensor data by integrating the DBMS directly into Edge devices. Additionally, it provides exceptional performance in data storage and extraction when operating on a single server. With the ability to configure multi-node clusters, Machbase offers enhanced availability and scalability. Furthermore, it serves as a comprehensive management solution for Edge computing, addressing device management, connectivity, and data handling needs effectively. In a fast-paced data-driven world, Machbase proves to be an essential tool for industries relying on real-time sensor data analysis.

Thingplus oversees a range of IoT devices that encompass various infrastructures and systems, including solar energy facilities and motor systems utilized in manufacturing, alongside straightforward environmental sensors. These devices maintain connectivity to the Internet via diverse communication methods, allowing for real-time management and oversight. An authentic end-to-end IoT platform serves as a comprehensive software framework that facilitates device connectivity, data collection, analysis, visualization, real-time alerts, and remote control through a rules engine, while also enabling integration with external cloud services. This platform transforms critical business data from physical formats to digital insights, thereby fostering digital transformation and enhancing data integration services. By harnessing meaningful data from your operations, effective management of your business becomes achievable. Moreover, it enables the consolidated oversight of vital facilities and equipment, ensuring that data monitoring and real-time control are seamlessly integrated into the management services. Ultimately, this holistic approach enhances operational efficiency and decision-making processes.

Utilizing a microservices architecture for IoT backed by Kubernetes allows for limitless scalability and the ability to adjust resources as needed, all while maintaining high performance and resilience against failures. Streamline the data flow from your IoT devices to any analytics platform through a seamlessly integrated Kafka channel, enabling you to modify device behavior based on the insights gained from processing results. The creators of this platform bring over 25 years of expertise in IoT, telecommunications, and big data, leveraging their extensive knowledge to develop an exceptional IoT solution suitable for both large enterprises and emerging startups. Your data remains secure with encryption both during transmission and while stored. Additionally, the platform offers built-in user authentication and authorization features via an open OAuth2 / UMA interface. Easily connect and manage IoT devices through a cloud-based graphical user interface or a RESTful API. Gather and visualize telemetry data using the integrated dashboard or utilize third-party tools such as Grafana for enhanced analysis and presentation of data insights. This comprehensive IoT platform ensures that you have the tools necessary to effectively handle your data and device management needs.

Foghub streamlines the integration of IT and OT, enhancing data engineering and real-time intelligence at the edge. Its user-friendly, cross-platform design employs an open architecture to efficiently manage industrial time-series data. By facilitating the critical link between operational components like sensors, devices, and systems, and business elements such as personnel, processes, and applications, Foghub enables seamless automated data collection and engineering processes, including transformations, advanced analytics, and machine learning. The platform adeptly manages a diverse range of industrial data types, accommodating significant variety, volume, and velocity, while supporting a wide array of industrial network protocols, OT systems, and databases. Users can effortlessly automate data gathering related to production runs, batches, parts, cycle times, process parameters, asset health, utilities, consumables, and operator performance. Built with scalability in mind, Foghub provides an extensive suite of features to efficiently process and analyze large amounts of data, ensuring that businesses can maintain optimal performance and decision-making capabilities. As industries evolve and data demands increase, Foghub remains a pivotal solution for achieving effective IT/OT convergence.

Fluke Connect™ software enables the collection, storage, and visualization of machine data from over 80 Fluke tools and sensors. This data is now securely stored in the cloud, allowing teams to access it effortlessly via their smart devices or computers. Whether it’s data from condition monitoring sensors or portable test instruments, maintenance and reliability teams are empowered with comprehensive information to make crucial decisions and perform essential tasks. By implementing remote sensors that automatically upload data to the cloud, time-consuming manual rounds can be significantly reduced. This innovation eliminates the need for clipboards, discrepancies, and data silos, ensuring that asset information is readily available on smart devices. Additionally, Fluke Connect Condition Monitoring™ software provides teams with the ability to analyze asset trends through graphical representations sourced from connected monitoring devices. By facilitating thorough data analysis, personnel can gain valuable insights that help in predicting asset conditions and minimizing the risk of unexpected downtime. Ultimately, this enhances overall operational efficiency and reliability.

LidarView, an open-source platform created by Kitware, facilitates real-time visualization, recording, and processing of 3D LiDAR data. This platform, which is built on the foundation of ParaView, excels in rendering extensive point clouds and provides functionalities like 3D visualization of time-stamped LiDAR returns, a spreadsheet inspector for attributes such as timestamp and azimuth, and the capability to showcase multiple data frames at once. Users have the flexibility to input data from live sensor streams or from recorded .pcap files, allowing them to apply 3D transformations to point clouds and manage various subsets of laser data effectively. LidarView is compatible with a diverse range of sensors, including those from Velodyne, Hesai, Robosense, Livox, and Leishen, making it possible to visualize live streams as well as replay previously recorded data. The platform is also equipped with sophisticated algorithms for Simultaneous Localization and Mapping (SLAM), which aids in precise environmental reconstruction and sensor localization. Additionally, it features AI and machine learning capabilities that enhance scene classification, offering users a comprehensive tool for advanced data analysis and visualization. This makes LidarView a versatile option for researchers and professionals seeking to leverage LiDAR technology in their work.

VeloView is a versatile open-source platform tailored for the real-time visualization and analysis of 3D LiDAR data obtained from various Velodyne HDL sensor models, such as the HDL-64E, HDL-32E, VLP-32, VLP-16, Puck, Puck LITE, Puck Hi-Res, Ultra Alpha, Alpha Prime, Velarray, Velabit, and Veladome. This application allows users to either visualize live data streams or review previously recorded data archived in .pcap files, while also offering the functionality to record live streams for future examination. With tools designed for displaying, selecting, and measuring data from captured points, VeloView supports custom color maps influenced by factors such as intensity-of-return, time, distance, azimuth, dual return type, and laser ID. Users have the option to export data in CSV format as XYZ coordinates or capture screenshots of the point cloud visualization. Recent enhancements have added features like compatibility with Velarray sensors, the ability to operate multiple sensors concurrently, and independent transformation of live data for each sensor, thereby expanding its usability and versatility. Overall, VeloView stands out as a powerful tool for professionals working with 3D LiDAR technology.

sclera, a robust Network Monitoring software, caters to Property Owners, Property Managers, Vendors, System Integrators, etc., by providing cost-effective solutions to remotely monitor an unlimited number of devices. sclera adapts its system and develops a network map based on the property's infrastructure. Users are provided an activity dashboard that enables them to monitor their devices across several networks. This helps users locate and identify network issues by receiving instant notifications for device failures, sensor alarms, advanced reports and statistics, and many more. A graphically descriptive network topology aids in the easy identification of faulty devices in real-time, allowing for quick resolution of issues. sclera helps devices connected to it run smoothly by integrating multiple sensors from myDevices, Disruptive Technologies, Datahoist, and others. The remote access option in sclera allows vendors to securely diagnose devices while troubleshooting networks using a variety of network tools from anywhere in the world. Various network protocols such as SNMP, BACnet, LoRaWAN are supported by sclera.

Friendly's One IoT Device Management allows for the remote oversight of various IoT devices, including those with intricate data models and limited capability, utilizing standard protocols like LwM2M, OMA-DM, MQTT, CoAP, TR-369 USP TR-069, among others. This solution facilitates automated initialization and remote administration of IoT devices, featuring an Admin Portal, a Technician Portal, a Quality of Experience (QoE) Dashboard, Business Intelligence (BI), and Big Data Analytics, along with a comprehensive API for tailoring vertical applications. Additionally, Friendly offers an App generator module that simplifies the creation and updating of custom applications without the need for programming skills. Moreover, Friendly's One-IoT™ Device Management can be deployed through private cloud, public cloud, or directly on the customer's site, providing flexibility to suit various operational needs. This adaptability ensures that users can effectively manage their IoT ecosystem in a way that aligns best with their infrastructure requirements.

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.

ZeroHack TRACE is an advanced cyber threat intelligence framework that utilizes decoy technology along with a variety of sensors to create and evaluate threat data effectively. It provides dynamic, customizable intelligent shifting sensors that can be easily reconfigured and possess self-healing capabilities. Equipped with a specialized deep packet inspection (DPI) engine, TRACE captures real-time data for in-depth user analysis. The processed data from honeynets significantly improves visualization and correlation, thereby empowering analysts to strengthen network security comprehensively. The Dynamic Intelligent Shifting Sensors (DISS) within ZeroHack TRACE enhance security further by periodically altering sensor locations to evade detection by malicious actors. Additionally, ZeroHack TRACE incorporates honeynets tailored to specific IT environments, ensuring optimal functionality. The sensors are designed to self-repair from attacks and automatically update, which drastically reduces the maintenance burden on customers. Each sensor is equipped with a deep packet inspection engine that facilitates real-time data capture, allowing for meticulous network monitoring and rapid threat identification. This innovative framework not only bolsters security measures but also adapts to the ever-evolving landscape of cyber threats.

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.

The Kontakt.io IoT Device Management cloud accelerates market readiness by equipping businesses with a robust set of tools for overseeing and managing IoT networks. It streamlines the process, reducing the time, complexity, and expenses associated with overseeing numerous IoT devices. The platform ensures the security of IoT edge devices, effectively safeguarding the local area network against potential threats. Users can monitor issues in real-time, receiving alerts related to sensors, tags, gateways, and wayfinding infrastructure. It simplifies the management of location hierarchies within an organization by consolidating multiple device feeds into a single cloud platform. Device onboarding is made efficient through the ability to bulk-register devices and gateways with just one click. Additionally, it allows for the manual entry of data to onboard and register third-party devices and gateways to the Kontakt.io Cloud. With centralized policies, organizations can enforce a secure profile for device connectivity, ensuring robust security measures for IoT edge devices. This comprehensive approach ultimately enhances operational efficiency while bolstering security across the entire IoT ecosystem.

Our Cloud platform offers businesses a comprehensive overview of their entire infrastructure, supplying essential data points and metrics to the relevant departments within the organization. This foundation is crucial for fostering future advancements in technology, particularly in sectors like Machine Learning and Artificial Intelligence, all accessible through the Kaleidoscope Cloud platform. Additionally, our core Cloud features integrated Big Data and Analytics to facilitate instant, real-time business intelligence. Keep track of your infrastructure using our intuitive dashboards, and ensure timely notifications to your team through our automated on-call system, which operates on data-driven insights. Furthermore, your entire IoT ecosystem is safeguarded, as Kaleidoscope prioritizes secure communication for all data exchanged with the cloud, guaranteeing the integrity and confidentiality of your information. With these capabilities, organizations can seamlessly adapt to evolving technological demands while ensuring robust security measures are in place.

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.

Enhance your customer experience by adopting a comprehensive perspective on your entire business operations. Monitor the journey of a product from the distribution center all the way to the store shelf, and ultimately into the shopper's bags. Take advantage of adaptive and coordinated retail intelligence that is available precisely when and where it is needed. Focus on addressing the critical moments that have the greatest significance for customers, employees, and suppliers alike. Everseen's Visual AI™ Platform serves as a quick Application Builder that consolidates existing systems, applications, and sensors, utilizing AI to uncover issues that were previously invisible or difficult to measure. This innovative platform functions throughout the entire supply chain, helping to minimize shrinkage and boost the accuracy of perpetual inventory. With the ability to seamlessly integrate with any camera, device, system, or sensor across any cloud or edge environment, it allows for the construction of extensive data, video, and sensor pipelines. Visual AI™ and Data drive human-centric AI systems designed by experts, enabling enterprise-wide problem identification and interconnection. Additionally, this approach fosters a more cohesive understanding of operational dynamics, paving the way for improved decision-making and strategic planning.

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.

NVIDIA's DeepStream SDK serves as a robust toolkit for streaming analytics, leveraging GStreamer to facilitate AI-driven processing across various sensors, including video, audio, and image data. It empowers developers to craft intricate stream-processing pipelines that seamlessly integrate neural networks alongside advanced functionalities like tracking, video encoding and decoding, as well as rendering, thereby enabling real-time analysis of diverse data formats. DeepStream plays a crucial role within NVIDIA Metropolis, a comprehensive platform aimed at converting pixel and sensor information into practical insights. This SDK presents a versatile and dynamic environment catered to multiple sectors, offering support for an array of programming languages such as C/C++, Python, and an easy-to-use UI through Graph Composer. By enabling real-time comprehension of complex, multi-modal sensor information at the edge, it enhances operational efficiency while also providing managed AI services that can be deployed in cloud-native containers managed by Kubernetes. As industries increasingly rely on AI for decision-making, DeepStream's capabilities become even more vital in unlocking the value embedded within sensor data.

Sensor.live is compatible with various open-source boards, allowing users to follow straightforward steps to manage their devices seamlessly in the cloud. You can create personalized IoT rules and control your devices using the mobile app from anywhere at any time! As your collection of smart devices expands, having an efficient manager like Sensor.live becomes essential. This platform can analyze data, enable remote device control, and facilitate over-the-air updates, while also providing visibility into each execution step's progress. Let Sensor.live take charge of monitoring all your devices effortlessly. By sending a single email, you can assign roles to team members, promoting focused responsibilities and fostering creativity. Additionally, you can encourage your colleagues to meet deadlines for their tasks, making it easier to juggle multiple projects without chaos. With its organized approach, Sensor.live transforms device management into a streamlined experience.