Alternatives to MotionBoard

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.

About Qrvey Qrvey pioneered multi-tenant self-service analytics for SaaS companies and now leads the evolution toward AI-driven, autonomous analytics. With over 20 years of experience, we provide industry-leading guidance and support, ensuring our clients achieve their analytics goals. Our deep understanding of multi-tenant SaaS architecture and comprehensive services make us the partner of choice for SaaS leaders. About Qrvey Platform Qrvey is the embedded analytics platform designed specifically for SaaS companies. Qrvey offers insight, agility and growth. Insight for your customers · True self-service with unlimited customization · AI-driven insights · No-code workflow automation Agility for your product team · End-to-end embedded analytics platform · Native multi-tenant security · Flexible multi-cloud deployments Growth for your business · Flat-rate pricing for scale · Unmatched monetization opportunities · Embedded services

Datadog is the cloud-age monitoring, security, and analytics platform for developers, IT operation teams, security engineers, and business users. Our SaaS platform integrates monitoring of infrastructure, application performance monitoring, and log management to provide unified and real-time monitoring of all our customers' technology stacks. Datadog is used by companies of all sizes and in many industries to enable digital transformation, cloud migration, collaboration among development, operations and security teams, accelerate time-to-market for applications, reduce the time it takes to solve problems, secure applications and infrastructure and understand user behavior to track key business metrics.

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.

Leverage Flonomics data analytics to gain deeper insights into your physical retail locations. Our IoT technology for counting people boasts a remarkable 98% accuracy, allowing for the analysis of visitor traffic patterns, occupancy levels, and entry point usage among other critical metrics, empowering you to transform insights into actionable strategies. Utilizing our analytical tools is essential for comprehending the dynamics within your establishment. It’s time to enhance your competitive edge, as we have democratized metrics that were once exclusively available to online retailers for use in brick-and-mortar settings. Our user-friendly dashboard provides instant access to vital information across any device, ensuring you are always in the loop. Completely web-based, our platform is secure and available around the clock. The 98% accuracy of our shopper counting system instills confidence in retailers, enabling them to convert data into decisive actions. With reliable and easily installed sensors, you can effortlessly collect the essential data you require to evaluate the performance of each of your stores effectively. As a result, your business can respond more dynamically to customer behaviors and optimize operations accordingly.

Business Intelligence, AI & NLP are available to anyone who wants to make data-driven business decisions. Knowi instantly transforms data into insights and data-driven actions. No ETL. No ODBC drivers. Simply connect your datasources to start building queries. It's that simple. In a matter of minutes, you can create blended datasets by joining data sources from NoSQL and SQL, REST API, and even file-based sources. Click. Done. We have combined the power and natural language queries of AI to create a new self-service experience in BI that makes it easier to find and reveal new insights. The data we have today is large and scattered. A business intelligence solution is required to instantly connect to modern data. Knowi is the only full-stack analytics platform that integrates natively to all popular NoSQL data sources, as well as relational or Cloud APIs.

Regardless of whether you're overseeing 3,000 devices or 3,000,000, each interaction with a device produces valuable data. Can you effectively monitor these devices in real-time? Are you caught off guard by unexpected bills due to excessive usage? Are your deployed devices compliant with established policies? Enter Simetric, an innovative insights and management platform designed for your IoT ecosystem, all accessible through a single interface. It is flexible, dynamic, and scalable, allowing for swift configuration to meet your specific business requirements. You can get started in just a few clicks and be operational within minutes. Enhance your responsiveness and insights for clients of all sizes with ease. The future lies in recurring managed services, and with Simetric, that future is promising. Say farewell to monthly audits and welcome real-time cost control and oversight of every connection. Simetric streamlines the intricate data flows from extensive networks of connected devices into one comprehensive view. This platform provides you with immediate clarity on challenges and opportunities throughout your operational landscape, ensuring that you are always informed and ready to act. The capabilities of Simetric empower organizations to optimize their device management strategies effectively.

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.

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.

The BellaDati IoT Framework revolutionizes the speed at which businesses can create IoT applications and incorporate advanced analytics. With an integrated suite that offers 80% of its features right from the start, it mitigates the risks, time, and expenses typically involved in developing new solutions. It effectively operates applications while connecting to data sources and analytical models. Users benefit from a visual interface that enhances interaction with data and analytical outputs. Additionally, it provides a development environment for integrating data and analytics into situational intelligence applications, as well as tools for mathematical modeling and forecasting. Through its API, BellaDati allows seamless integration with custom client applications. The framework also supports the creation of reports, dashboards, and datasets while facilitating resource imports. By enabling the combination of data from various sources, BellaDati serves as a crucial technological enabler for the IoT landscape. Moreover, it ensures load balancing of data throughout transformations and across multiple cluster nodes, enhancing efficiency and performance. This comprehensive approach positions BellaDati as a leader in the realm of IoT application development.

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.

IoT Service Monitoring Turn device data into action to optimize your service delivery Protect your revenue Customers will continue to pay you if your service is high quality. Save money Armed with a powerful tool, your employees will be more productive and provide better service using the same human resource. Your time should be spent in areas that will yield the highest return. Unlock growth You can press the "SCALE" button to deploy without worrying about whether you will fail. All the information you need to support your business decisions is at your fingertips.

Keep your workforce informed and engaged through a centralized platform designed for all your informational needs. Unlock the maximum potential of your team by implementing Cognitive Empowerment and Engagement strategies. Our AI-enhanced solutions transcend conventional communication approaches, seamlessly adjusting to the unique preferences and learning styles of each individual. Encourage ongoing learning with tailored content that enhances engagement and morale, creating an environment where cognitive empowerment fuels both innovation and growth. Optimize your document management with our Intelligent Document Nexus for All, eliminating information silos and introducing a cohesive, AI-driven system that organizes and categorizes documents with ease. From effortless retrieval to collaborative editing, AIX Hub guarantees that crucial information is always accessible. By enhancing efficiency and minimizing redundancy, you can revolutionize the way your teams engage with important documents and each other, leading to a more productive workplace overall.

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.

Create advanced applications that streamline workflows, provide ongoing operational monitoring, and manage processes in real-time. Your solutions are designed to operate continuously on cloud servers as well as edge devices. Utilizing a familiar spreadsheet interface, you don't need to be a programmer; instead, you can simply drag and drop data, enter formulas into cells, and create charts in an intuitive manner. All the essential protocols required for connecting to sensors and machinery, such as MQTT, REST, and OPC UA, are readily available. Streamsheets specializes in processing streaming data, including formats like MQTT and Kafka. You can select a topic stream, modify it as needed, and send it back into the vast world of streaming data. With REST, you gain access to a multitude of web services, while Streamsheets enables seamless connections both ways. Not only do Streamsheets operate in the cloud and on your servers, but they can also be deployed on edge devices, including Raspberry Pi, expanding their versatility to various environments. This flexibility allows businesses to adapt their systems according to their specific operational needs.

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.

C2M® provides significant value by enhancing the automation of intricate business operations through the integration of Digital Transformation and the Internet of Things (IoT), all while ensuring flexibility and adaptability to change. Its three-tiered platform facilitates real-time connectivity to various data sources, offers in-depth analysis of big data via intuitive dashboards, and enables true process automation through event management and bespoke workflows. The Workflow layer of C2M® delivers a holistic solution that transforms outdated processes into agile, web-based, and efficient systems. Additionally, C2M® Workflow automation features a user-friendly drag-and-drop interface that responds to evolving business needs, allowing for essential process automation without the high costs associated with overhauling existing IT infrastructure. Users can easily model complex operations and integrate workflows effortlessly into both new and pre-existing applications, significantly enhancing operational efficiency and productivity. This innovative approach positions organizations to thrive in a rapidly changing business landscape.

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.

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.

Plutoshift’s Operational Data Platform (ODP) offers automated performance tracking and predictive analysis aimed at optimizing physical infrastructure, enhancing efficiency, minimizing costs and waste, and fostering the development of more sustainable and resilient businesses. The most significant hurdle in extracting value often lies in the initial stages of data extraction and processing. To address this, Plutoshift effectively ingests, processes, and organizes all data from infrastructure, business operations, and even external sources, thereby establishing a solid foundation for actionable insights. The platform fully automates and manages the entire data pipeline, eliminating the need for extra IT personnel. With Plutoshift, organizations gain a continuous and comprehensive view of their operations at various levels, including workflow, site, and enterprise. Operators can instantly access trends and key performance indicators (KPIs) for all processes and assets, enabling swift decision-making. Additionally, the system features customizable alerts, response tracking, and detailed contextual reports, empowering teams to quickly spot issues, avert potential downtimes, and identify the underlying causes of problems. This proactive approach not only enhances operational efficiency but also supports strategic decision-making for long-term success.

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.

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.

Monitoring and visualization of real-time operations, including KPIs and dashboards. Also includes trends, analytics, hierarchy, alerts, and analytics. All data sources (industrial and IoT, business, and external) are gathered. It displays data in real-time on any device, without the need to move it.

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.

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.

Visplore makes the analysis of large, dirty time series data intuitive and extremely efficient. For process experts, R&D engineers, quality managers, industry consultants, and everyone who has spent a lot of time on the tedious preparation of complex measurement data. Knowing your data is the fundament of unlocking its value. Visplore offers ready-to-use tools to understand correlations, patterns, trends and much more, faster than ever. Cleansing and annotating make the difference between valuable and useless data. In Visplore, you deal with dirty data like outliers, anomalies and process changes as easily as using a drawing program. Integrations with Python, R, Matlab and many other sources makes workflow integration straightforward. And all of that at a performance that is still fun even with millions of data records, and allows for unexpectedly creative analyses.

The Waylay platform is a modular IoT solution that offers top-tier OEM technology for backend development and operational processes, facilitating the rapid delivery of IoT solutions on a large scale. It features sophisticated rule logic modeling, execution capabilities, and comprehensive lifecycle management. This platform allows for the automation of various data workflows, regardless of their complexity. Designed to seamlessly handle the diverse data patterns found in IoT, OT, and IT, Waylay integrates both streaming and time series analytics into a single, collaborative intelligence environment. By providing non-developer teams with user-friendly, self-service apps focused on key performance indicators, it significantly shortens the time to market for IoT products. Users can identify the most effective automation tools for their specific IoT applications and evaluate them against established benchmarks. Additionally, developing IoT applications diverges significantly from traditional IT development, as it entails connecting the physical realm of Operations Technology, which involves sensors and actuators, with the digital landscape of Information Technology, encompassing databases and software systems. This bridging of worlds highlights the unique challenges and opportunities presented by IoT application development.

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.

Our analytics are tailored specifically for applications related to connected vehicles and lifestyles. Agnik's innovative analytics platform, which combines both onboard and cloud-based intelligence, is complemented by a leading ecosystem of vertical-specific products and integrated monetization strategies. Vyncs™ serves as Agnik's service platform aimed at drivers, offering an extensive array of services that encompass thorough vehicle health monitoring, benefits from usage-based insurance programs, and various location-based offerings. The technology behind Vyncs™ is protected by patents, allowing it to transform vehicle data into actionable insights. VyncsLite™, on the other hand, is a B2B smartphone-based solution that facilitates real-time and offline analytics without the need for extra devices. By leveraging the sensor data from smartphones, it generates analytics applicable across numerous sectors, including insurance and location-based services, thus broadening its usability and appeal in the connected vehicle market. This dual-platform approach enhances the overall functionality and versatility of Agnik's offerings.

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.

Guidewheel's AI platform will help you get more out of existing assets, reduce costs, and make your team win. The fastest way to improve factory operation. Track downtime accurately and identify root causes for improved efficiency and utilization. Forecast throughput accurately and track planned production vs. actual. Monitor OEE in real-time and see your trend over time. Track cycles, cycle times, and performance against goals. Monitor energy consumption and look for ways to reduce costs and consumption. Find out about maintenance issues before they become a problem. Monitor conditions such as temperature, flow, humidty, and pressure. Unlock hidden capacity by revealing and addressing losses such as preventable downtimes, long changeovers and late starts. AI-driven alerts will notify you when performance is deviating from the plan. This allows your team to take corrective actions and stay on track. Delivering on time is the best way to build customer trust.

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.

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.

Our advanced live tracking and fleet management system ensures that all vital parameters are continuously monitored in real-time, from locations and sensors to schedules, so you maintain complete control at all times. Recognizing that each business has unique requirements, our adaptable solutions are designed to meet the specific needs of your fleet effectively. You will gain valuable insights that empower you to make informed, data-driven decisions. Acknowledging the critical nature of safety, our solutions enhance the protection of drivers, cargo, and vehicles by closely monitoring driver behavior, vehicle health, and preventing theft. You can easily define routes and assign vehicles and drivers accordingly. With real-time visibility into the status of trips, you can significantly reduce delays. By proactively managing maintenance activities with reminders based on dates, kilometers, or working hours, you can minimize vehicle downtime. Furthermore, you can keep a vigilant eye on maintenance costs, ensuring that there are no unexpected expenses. This comprehensive approach not only streamlines operations but also enhances overall efficiency and productivity.

The world of IoT connected devices generates an enormous volume of data every second. To harness the potential of this data, it is essential to utilize live data visualization and tracking tools that enable timely actions. An IoT Dashboard serves as a dynamic companion for all your IoT devices, effectively extracting the necessary data for analysis. This tool allows for real-time tracking, reporting, and interactive data visualizations. Such a captivating and immediate method of presenting data ensures that even individuals without technical expertise can comprehend the information easily and respond accordingly, making it suitable for a wide array of IoT applications. Additionally, a specialized MQTT dashboard simplifies the monitoring and management of real-time data, providing a vibrant overview of the latest events occurring within the Bevywise MQTT Broker. The IoT Platform also functions as a robust device management system designed to oversee IoT devices while collecting and storing valuable data from them. Bevywise IoT Platform supports both single and multi-tenancy architectures, enabling you to onboard all your customers seamlessly, thereby enhancing the overall management experience. This flexible approach allows businesses to scale effectively while ensuring that every user's needs are met.

VIA offers enhanced visibility throughout data and various organizational barriers, fostering operational efficiency across multiple sectors. With this tool, your team can swiftly identify issues, automate responses when feasible, and mitigate the risks that could adversely affect service and customer satisfaction. Through its proactive analytic value chain and focus on customer needs, VIA not only uncovers necessary actions but also ranks them according to their potential impact on customers, allowing you to make informed decisions that enhance business outcomes. Additionally, VIA Solution Templates streamline the implementation and customization of the Platform to align with your specific business needs, facilitating a smoother transition and greater adaptability. Ultimately, leveraging VIA can lead to more responsive and effective operational strategies.

TrendMiner is an advanced industrial analytics platform that is fast, powerful, and intuitive. It was designed to monitor and troubleshoot industrial processes in real-time. It allows for robust data collection, analysis and visualization, allowing everyone in industrial operations to make smarter data-driven decision efficiently. TrendMiner is a Proemion Company founded in 2008. Our global headquarters are located in Belgium and we have offices in the U.S.A., Germany, Spain, and the Netherlands. TrendMiner has strategic alliances with major players like Amazon, Microsoft and SAP. It also offers standard integrations for a variety of historians, including Honeywell PHD and GE Proficy Historian.

You deserve comprehensive knowledge about your business operations beyond what is typically shared, including insights into your supply chain, distribution paths, and customer demographics. It is your entitlement to receive valuable, real-time data that can be acted upon effectively. Trustworthy information and transparent supply chains are essential rights you hold. Furthermore, you should have access to consumers who you can monitor, engage with, and cultivate relationships alongside. Additionally, you are entitled to insights that empower you to manage your business in innovative ways, fostering supply chains that are more sustainable, transparent, and secure. EVRYTHNG consolidates data throughout the entire lifecycle of products, providing you with end-to-end visibility and authenticity via real-time intelligence and analytics at the item level. By utilizing our platform, you can foster stronger connections with your end customers through interactive packaging that transforms products into a dynamic digital media channel, allowing for direct engagement with consumers who are always connected. This capability not only enhances customer relationships but also drives your business towards a more responsive and innovative future.

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 analysis of data from diverse IoT sources, such as sensors and devices, facilitates predictive and prescriptive insights that empower users to address potential anomalies in real time. Concentio® IoT Doctor effectively processes data from various IoT endpoints, notifying users of any faulty incoming data to ensure that issues are resolved before the data is utilized for further analytical purposes. Additionally, the Concentio® Production Line Fault Prediction tool leverages AI to conduct predictive assessments of production line components by analyzing IoT data, videos, and images. Meanwhile, Concentio® Optimal Asset Management scrutinizes incoming information from a network of utility service assets, allowing users to schedule timely maintenance and ultimately reduce capital expenditures by informing strategic asset replacement decisions. This comprehensive approach not only enhances operational efficiency but also significantly contributes to improved asset longevity and performance.

With the rapid pace of urbanization, it has become increasingly challenging for planners and city administrators to create intelligent, secure, and sustainable environments for their residents and workers. The pressing task they face involves developing more adaptable and contemporary urban living and working conditions despite the constraints of limited resources. To tackle this challenge, city officials must utilize data from various Smart City 1.0 platforms to enhance services that encourage sustainable lifestyles and foster economic growth. The TCS Intelligent Urban Exchange™ (IUX) IoT Analytics for Smart Cities and Businesses is designed to facilitate the cost-effective rollout of smart IoT projects, offering a modular and insight-driven platform that delivers innovative software solutions to address the complexities of modern urban areas. This cloud-based platform synthesizes data from a wide array of domains, systems, and IoT devices, employing advanced analytics to enable real-time decision-making. By integrating these capabilities, city leaders can better respond to the dynamic needs of their communities and improve overall quality of life.

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.

Airlinq is driving the advancement and implementation of large-scale connected applications focused on smart mobility and ecosystem monetization for automakers, mobile network operators, and consumers worldwide. This innovative platform supports the next generation of enterprise-grade cloud and edge solutions, adept at managing complex AI and IoT scenarios for an emerging array of connected assets such as vehicles, autonomous pods, and drones. Designed to be highly scalable and globally accessible, the platform is equipped to cater to millions of connected devices and vehicles while ensuring critical latency, security, and reliability. By integrating third-party service providers, you can unlock the potential of your connected infrastructure, whether it be a vehicle or a wearable device. This integration allows for the delivery of hundreds of personalized and contextual digital services directly to consumers, enhancing their experience. Furthermore, it fosters seamless service provisioning, consent management, payment processing, and billing, ultimately creating a remarkable and efficient user journey. The future of connected mobility is here, and it's transforming the way consumers interact with technology.

Integrate video, IoT information, and analytics to generate alerts and insights that enable you to make more informed decisions for enhancing safety and operational effectiveness. Bring together video feeds, IoT data, and social media insights into a cohesive dashboard. You can visualize and assess countless layers of information from various sources without limit. Collaborate across departments or organizations by incorporating user-specific data layers. Enhance your existing investments by progressively adding new layers and broadening your capabilities. Acquire geospatial intelligence, statistical analyses, and predictive analytics to facilitate proactive measures. Streamline workflows for improved responses while utilizing mobile applications for collaboration from any location. Achieve comprehensive visibility into smart environments and the IoT data that drives the decision-making processes, all centralized in one platform. You can visualize and overlay data on maps, ranging from individual facilities to entire cities, depending on what your data reveals. By merging various systems, you can receive alerts from a unified source, effectively transitioning from a reactive stance to a proactive approach. Ultimately, this integration empowers you to make smarter, data-driven decisions that enhance both safety and operational efficiency.