Alternatives to Concentio

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

The SBS QMS Suite consists of 5 software modules that work together for efficient Quality compliance: 1) SBS Quality Database - CAPA / 8D corrective and preventive actions (CAR) with root cause analysis - Nonconformance management - Risk analysis including FMEA, SWOT, interested party risk register - Internal, customer, and third-party audit management - Environmental Health and Safety (EHS / HSE) management 2) SBS Ground Control - Employee training management (LMS) - Self-Paced training - Change control - Document control 3) SBS Asset Tracking Database - Calibrated equipment control - Preventive maintenance - Asset inventory management 4) SBS Inspection Database - Record incoming material, in process, and final product inspection data - Generate real time SPC charts - Inspection plans and Control Plans - Archive data for further statistical analysis 5) SBS Vendor Management - Maintain an approved vendor list or AVL - Develop vendor / supplier qualification plans - Maintain vendor / supplier qualification history Modules may be purchased separately or in any combination. On-premise and cloud-based options are available. Free demos are available for download or contact us for a cloud-based demo.

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.

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.

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.

The IBM Maximo® Application Suite comprises a collection of applications designed for effectively monitoring and managing assets, as well as for predictive maintenance and reliability planning. Maximo Application Suite enables organizations to maximize the value derived from their enterprise assets through a unified, cloud-based platform that harnesses the power of AI, IoT, and analytics to enhance performance, prolong asset lifespans, and minimize both operational downtime and expenses. Equipped with IBM Maximo's leading-edge technology, users benefit from adaptable applications for CMMS, EAM, APM, and RCM, all while enjoying simplified installation and management processes, alongside an improved user experience through the integration of shared data and workflows. Utilizing AI and analytics allows for effective management and maintenance of high-value assets, which not only optimizes their performance but also extends their operational lifecycles and decreases costs and downtime. By incorporating automated asset inspections that are powered by real-time data and artificial intelligence, organizations can significantly enhance their inspection procedures. This comprehensive suite ensures that users are well-prepared to meet the challenges of asset management in today’s fast-paced business environment.

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

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

The Cherrywork® Predictive Asset Maintenance Application is designed to lower, streamline, and enhance the costs associated with asset lifecycles at every stage, from initial investment planning and network configuration to procurement, installation, operational management, and eventual disposal or replacement. This innovative tool plays a crucial role in identifying unforeseen equipment failures that could jeopardize customer satisfaction and overall reliability. Clients have an expectation for advance notice regarding planned outages, allowing them to manage their consumption effectively. By leveraging this application, users can proactively maintain their assets, thereby avoiding potential penalties. It harnesses historical data from a variety of sources to create precise and verifiable predictive models, enabling the generation of forecasts and risk assessments. Additionally, the application combines data from online monitoring systems, weather forecasts, and various non-operational information such as operational guidelines, equipment specifications, and industry standards, providing a comprehensive approach to asset maintenance. Ultimately, this integration of diverse data sources enhances decision-making and operational efficiency.

Equip your engineers with the essential digital tools required to forecast and avert asset downtime effectively. By enhancing machine availability and ensuring asset reliability, you can facilitate proactive maintenance along with PaaS solutions. This strategic approach will also help to lower break-fix and repair costs while optimizing how resources are allocated. Furthermore, it will elevate the quality of service and enhance the customer experience. The availability of machines is crucial for your customers' achievements, and relying solely on traditional break-fix service models is no longer adequate, as downtime can lead to substantial financial losses. To adapt to these evolving service demands and transition towards a proactive service approach, it is vital to invest in cutting-edge technology that not only gathers IoT sensor data but also analyzes this information to identify irregularities and predict potential failures. Embracing such a solution will not only foster high equipment availability but also ensure exceptional service delivery through intelligent repair methods. Ultimately, this proactive stance will position your organization as a leader in reliability and responsiveness in the marketplace.

Reduce unexpected downtime in AC motors and rotating equipment. By utilizing electrical waveform analysis, we are able to forecast more than 90% of potential failures up to five months ahead of time. This approach facilitates predictive maintenance tailored for maintenance professionals, allowing them to allocate their limited resources to the assets that genuinely require attention. With SAM4, maintenance teams are empowered to carry out interventions only when a budding fault is identified, leading to quicker responses through real-time fault diagnostics. Upon detection of an issue, SAM4 can pinpoint the exact fault, enabling the maintenance team to address the root cause directly without needing to conduct a comprehensive examination of the entire asset. Achieve success where earlier predictive maintenance initiatives may have fallen short, as SAM4 boasts an accuracy rate that is 20% higher than conventional vibration-based systems and is also quicker and more economical to install and maintain. Furthermore, SAM4 can detect over 90% of failures, proving to be up to 50% more precise than the vibration-based solutions you may have previously utilized, significantly enhancing your maintenance strategy.

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.

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.

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.

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.

Utilize a single platform to ensure that your asset, operational, and business data can seamlessly interact. We enable organizations across diverse sectors to simplify processes, eliminate obstacles, and enhance the speed of value realization through integrated solutions that effectively merge Physical (IoT/IIoT/OT) and Application (IT) data. With our platform, you can securely handle the ingestion of OT, IoT, IIoT, and business application data from a variety of disconnected systems, protocols, networks, and formats. Moreover, you can enrich contextual information, manage metadata, conduct transformations, and employ data mapping to work with standardized data models and schemas. This integration allows for the flow of data to various endpoints, supporting application and process logic, storage, data analysis, and both physical and digital automation efforts. Reekoh Accelerate™ stands out as a hybrid integration platform that treats data from both physical and digital assets with utmost importance. It equips users with a robust and flexible toolset for managing devices and data, as well as streamlining business workflows and automation processes to drive efficiency. By leveraging these capabilities, organizations can unlock the full potential of their data assets.

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.

Eugenie's robust decision-making framework empowers industrial companies to extract maximum value from their assets and processes. At Eugenie, we seamlessly integrate AI as a powerful yet invisible force that enhances operational efficiency and dependability in industrial settings. Our platform is designed to foster a harmonious blend of technology, efficiency, and trust. With a distinctive framework centered on Explainable AI, Eugenie provides decision-makers with actionable, data-driven insights. Equipped with thorough root-cause analysis and predictive capabilities, the digital ecosystem of Eugenie facilitates informed decision-making processes. The collaborative environment within Eugenie harmonizes human abilities with machine intelligence. By adopting an AI-first strategy, Eugenie prioritizes user-centric design to enhance the reliability of both machines and processes. We view technology as a vital partner in boosting human productivity. Additionally, Eugenie's agile digital infrastructure is tailored to rapidly generate insights for industrial applications, ensuring that organizations can adapt swiftly to changing conditions. This commitment to innovation positions Eugenie as a leader in transforming industrial operations for the better.

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.

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

Novity’s TruPrognostics™ engine provides insights into the time remaining before maintenance is required, allowing you to visualize your plant's future and make informed choices in the present. Many organizations struggle with a lack of high-quality historical data, which hinders effective predictive analytics, but Novity addresses this issue using a unique blend of machine learning and physics-based models related to common machine faults. By integrating the appropriate IoT sensors, Novity ensures optimal performance regardless of the existing data quality. The application clearly indicates when equipment is likely to fail, minimizing the need for complex chart analysis and allowing you to focus on the efficient operation of your plant. This innovative approach leverages the principles of physics to deliver accurate predictions of failure timelines based on the specific progression of various faults. As a result, users can proactively manage maintenance schedules and enhance overall operational efficiency.

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.

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.

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.

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.

In an interconnected process industry where historical data is scarce, the unpredictability of failures is a constant challenge. Our comprehensive monitoring solution identifies quality concerns, equipment malfunctions, deviations in operational modes, and irregular process behaviors. Rather than sifting through countless false alarms, we streamline this to deliver a maximum of five meaningful alerts daily. This allows for advance notifications of potential failures, ranging from a week to just 24 hours before they occur, eliminating unexpected disruptions during off-hours. Emphasizing proactive and planned maintenance not only enhances operational efficiency but also reduces costs. The unique demands of industrial assets necessitate an innovative approach; we seamlessly integrate your team's expertise with advanced machine learning technologies to create a tailored predictive monitoring system. With your existing sensors and data, implementation is swift; it only takes two weeks for a process engineer to outline the plant's structure and behavior, after which the software will be fully operational, paving the way for improved reliability and performance. This rapid deployment ensures that your operations will benefit quickly from enhanced monitoring capabilities.

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.

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.

Streamline your maintenance operations across all properties using Prism Preventive Maintenance by Building Engines, allowing you to view, schedule, and assign tasks for every piece of equipment in each building. Digitally gather maintenance information for every device, including manuals and historical data, to ensure comprehensive oversight. Keep ahead of your equipment's condition and status with immediate issue tracking capabilities. Enable engineers to manage and modify tasks while on the move through the Prism Mobile app, ensuring they are always equipped to handle maintenance needs effectively. With just one click, you can establish uniform maintenance schedules for various assets, simplifying the process significantly. Field teams can easily generate work orders the moment they identify a problem, enhancing responsiveness. Additionally, upload instructional guides and videos to assist less experienced personnel, fostering a knowledgeable workforce. By improving preventive maintenance operations, you can lower capital costs and enhance the value of your assets. Finally, be informed about when equipment is nearing the end of its life, leading to more strategic capital planning and investment decisions. This proactive approach ultimately contributes to a more efficient and effective maintenance strategy across all properties.

Falkonry transforms data from the physical world into actionable information through advanced AI-driven visibility and insights. By enabling continuous monitoring of all assets and processes within your facility, it ensures that human focus is directed toward significant signals. Users gain immediate insights into both established and emerging reliability and quality concerns through a comprehensive exploration and explanation of various events. The platform efficiently navigates extensive data sets to resolve incidents and systemic challenges without the need for extensive training or setup time. With its Predictive Maintenance features, Falkonry enhances uptime and productivity in vertical casting and hot rolling operations. Additionally, its Continuous Process Monitoring capabilities improve production efficiency and product quality in processes involving lyophilizers and isolators. Through Condition-based Maintenance Plus, users can achieve success by detecting adverse conditions and anomalies early on. The patented machine learning core delivers real-time, actionable insights accompanied by explanations, empowering informed decision-making. Ultimately, Falkonry not only streamlines operational processes but also supports organizations in optimizing their overall performance and reliability.

Enhance your operational effectiveness, minimize risks, and optimize asset usage with the XMPro IoT Application Suite. This innovative platform seamlessly incorporates IoT solutions into current business processes, empowering more informed decision-making. Featuring robust integration options, it allows for secure connections between diverse systems, real-time event stream processing to handle substantial data volumes from multiple sources, comprehensive analytics, management of IoT devices, and additional functionalities. By leveraging these capabilities, businesses can achieve greater efficiency and adaptability in a rapidly changing environment.

Anticipate machine malfunctions before they arise by utilizing machine learning (ML) and taking proactive measures. Within minutes, you can initiate equipment monitoring through a straightforward installation, coupled with automated and secure analysis via the comprehensive Amazon Monitron system. The accuracy of this system improves over time, as it incorporates technician insights provided through mobile and web applications. Serving as a complete solution, Amazon Monitron leverages machine learning to identify irregularities in industrial machinery, facilitating predictive maintenance. By implementing this easy-to-install hardware and harnessing the capabilities of ML, you can significantly lower expensive repair costs and minimize equipment downtime in your factory. With the help of predictive maintenance powered by machine learning, you can effectively reduce unexpected equipment failures. Amazon Monitron analyzes temperature and vibration data to forecast potential equipment failures before they occur. Assess the initial investment needed to launch this system against the potential savings it can generate in the long run. In addition, investing in such a system can lead to enhanced operational efficiency and greater peace of mind regarding equipment reliability.

FasTrak SoftWorks has developed FTMaintenance, a robust and simple-to-use computerized maintenance management software (CMMS). FTMaintenance is available as both a cloud-based and on premises solution. It allows organizations of all sizes to implement preventive and predictive maintenance programs efficiently and streamline their maintenance operations. FTMaintenance's key features include asset management, work order management and inventory management.

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

Determining whether a machine is operational is relatively straightforward, but forecasting its potential failures over the coming days, weeks, or even months is considerably more complex. Envision a scenario where one of your industrial assets could inform you about an impending issue twelve months in advance, specifying not only the exact nature of the problem but also its underlying causes. With such foresight, you can strategically plan repairs or replacements well ahead of time, thereby significantly cutting costs by utilizing the ANNEA automated predictive maintenance platform. ANNEA stands out as the premier next-generation platform for condition-based predictive and prescriptive maintenance tailored for your machinery. Our innovative end-to-end solutions allow us to develop digital twins for each component of your machines, leveraging advanced artificial intelligence, physical modeling, and normal behavior modeling to enhance performance and reliability. This approach not only improves operational efficiency but also empowers you to make data-driven decisions for long-term asset management.

Mitigate risk effectively. Minimize operational downtime. Enhance your operational capacity. Leverage the globe's most extensive knowledge repository of asset performance data in your daily workflows. Transform chaotic work order information into a streamlined and trustworthy source of truth. Improve your maintenance strategy by utilizing work order data that is systematically organized and accurately stored. Gain insights into the actual costs associated with your maintenance efforts. Perform instantaneous cost assessments. Facilitate asset longevity evaluations and suggest necessary parts replacements. Compass provides an in-depth understanding of your genuine maintenance expenditures, the reliability of components, and their lifespans. Understand the allocation of every maintenance dollar spent. Aggregate all pertinent information in a singular business intelligence dashboard, ensuring that quick and efficient filtering options let you categorize data by equipment type, plant location, and other criteria. This integrated approach not only enhances decision-making but also promotes better resource allocation across your operations.

A digital twin that is driven by analytics and based on simulations serves as a virtual counterpart to a physical asset currently in use, functioning as a comprehensive multidomain system simulation that reflects the asset's lifecycle and performance. These hybrid digital twins facilitate the design and optimization of systems, as well as predictive maintenance strategies, which in turn enhance the management of industrial assets. By utilizing Ansys Twin Builder, organizations can boost their revenue, control expenses, and gain a significant edge over competitors. This tool allows for the rapid development of a digital twin, which acts as an interconnected representation of an operational asset, leading to improved management throughout its lifecycle and enabling effective predictive maintenance. Such capabilities not only help reduce costs but also play a crucial role in sustaining a lasting competitive advantage in the marketplace.

SparkPredict, the innovative analytics software from SparkCognition, is transforming maintenance practices by significantly reducing downtime and generating substantial savings in operational costs. This comprehensive solution processes sensor data and leverages machine learning to provide actionable insights, allowing for the identification of inefficient operations and the prediction of potential failures before they manifest. By integrating predictive AI analytics into your operations, you can safeguard your assets and ensure they remain operational. Moreover, it enhances labor productivity during downtimes by offering insights that guide necessary repairs. The use of machine learning also helps preserve the invaluable knowledge of your workforce by encapsulating their expertise. Not only can you anticipate machine issues with less effort, but you can also broaden the scope of asset failure predictions. Additionally, the system enables prompt and informed repair decisions through clear indicators of potential failures. To ensure ongoing predictive accuracy, it incorporates automatic model retraining, consistently refining its models to adapt and improve over time. Overall, SparkPredict offers a comprehensive approach to maintenance that balances efficiency and reliability.

Our Bulletin 9309 Emonitor® software for condition monitoring collaborates with both our monitors and portable data collectors to facilitate the initiation and maintenance of a predictive maintenance program based on condition. This software presents a wide range of tools aimed at long-term trending, plotting, and alarming functions, enabling the detection of early signs of potential machine issues. It also allows users to automate data collection from multiple 1444 series or 1440 series monitors and machines efficiently. Furthermore, it is compatible with Dynamix 2500 and Enpac 2500 Data Collectors, enhancing its utility. The software enables seamless data import and export with any OPC server, alongside essential tools for identifying alarming conditions and fault frequencies. With fully customizable and pre-configured plot views, users can tailor their experience to meet specific needs. Additionally, generating reports is straightforward, making it easier for users to analyze their data. Explore the Emonitor interface to discover the extensive functionalities this software has to offer, empowering users with the insights needed for effective maintenance strategies.

Enhancing machine uptime while boosting corporate profitability can be achieved without the need for costly capital expenditure initiatives or intricate engineering solutions. Nikola Labs simplifies the process of scaling Vero®, an accessible and comprehensive condition monitoring system, throughout your organization, enabling you to gain vital insights at both facility and enterprise levels to inform essential reliability choices. In light of significant labor shortages and an aging skilled workforce, manufacturers are under intense pressure to sustain uptime and adhere to production schedules. By equipping your workforce with the predictive insights necessary for maintaining optimal factory operations, Nikola Labs offers a distinct competitive edge, fostering a shift from a reactive approach to a proactive operational culture. Additionally, our all-inclusive solution encompasses everything from professional installation to in-depth analysis and tailored maintenance advice, allowing your teams to focus on planning and executing scheduled maintenance rather than constantly addressing urgent issues, ultimately leading to a more efficient and effective manufacturing process. This holistic approach not only supports operational goals but also contributes to long-term sustainability in the industry.

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.

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

FreePoint Technologies' ShiftWorx provides a ‘holistic’ shopfloor management platform that when applied in whole or in succession affords manufacturers a production optimization solution backed by Toyota Production System (TPS) consulting expertise. ▪ Fully customized modular suite of products. ▪ Toyota Production System (TPS) expertise ▪ Measures and monitors critical production areas. ▪ Managed Services included. ▪ Cloud-connects equipment of any age, type or brand. ShiftWorx is a unique grouping of modules that provide an end-to-end solution for continuous improvement across the production floor. ▪ Production Management - Real-time information on machine performance, jobs, and operator workforce. ▪ Performance Analysis - Metrics at the machine, line or plant for historical, situational and predictive insights. ▪ Quality & Compliance - Benchmarking, standards and procedures to meet audit and compliance regulations. ▪ Team Member Development & Performance - Operators have better tools for creating value added work. Measure, Analyze, and Improve with ShiftWorx! Contact us for a complimentary consultation from our TPS experts! Schedule a software demo specific to your Industry today!

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.

Utilize data gathered from current sensors to develop machine learning models tailored to your machinery. Ensure swift and accurate automatic monitoring of equipment that identifies problematic sensors. Speed up the resolution of issues with instant alerts and automatic responses when anomalies are identified. Enhance the effectiveness and precision of alerts by integrating trends in anomalies and user feedback. Amazon Lookout for Equipment serves as a machine learning monitoring solution for industrial machinery, identifying unusual operational behavior so you can respond proactively and prevent unexpected downtime. By automatically recognizing atypical equipment behavior, you can effectively avert unplanned interruptions. Lookout for Equipment systematically evaluates sensor data from your industrial systems to uncover abnormal machine activity. This capability enables you to swiftly identify equipment irregularities, diagnose concerns promptly, and take action to prevent unexpected downtime—all without needing prior machine learning expertise. Furthermore, consistent monitoring ensures that your models remain relevant and effective over time.