Alternatives to Concentio

Compare Concentio alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Concentio in 2026. Compare features, ratings, user reviews, pricing, and more from Concentio competitors and alternatives in order to make an informed decision for your business.

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    TRACTIAN

    TRACTIAN

    Tractian

    Tractian is the Industrial Copilot for maintenance and reliability, providing a cutting-edge platform designed to prevent unplanned downtime, boost operational efficiency, and enhance maintenance capacity. Trusted by global brands such as Bosch, Kraft Heinz, Carrier, Hyundai, Johnson Controls, and P&G, Tractian combines condition monitoring, energy efficiency, and a CMMS into a comprehensive, mobile-first solution. With Tractian, you can: Monitor real-time vibration, temperature, runtime, and RPM across critical assets Get real-time alerts and detailed diagnostics to address potential issues before they lead to failures Digitize workflows for streamlined work order management, planning & scheduling, and materials management Optimize energy consumption for improved sustainability and cost savings
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  • 2
    AWS IoT Analytics

    AWS IoT Analytics

    Amazon Web Services

    IoT data is highly unstructured which makes it difficult to analyze with traditional analytics and business intelligence tools that are designed to process structured data. IoT data comes from devices that often record fairly noisy processes (such as temperature, motion, or sound). The data from these devices can frequently have significant gaps, corrupted messages, and false readings that must be cleaned up before analysis can occur. Also, IoT data is often only meaningful in the context of additional, third party data inputs. For example, to help farmers determine when to water their crops, vineyard irrigation systems often enrich moisture sensor data with rainfall data from the vineyard, allowing for more efficient water usage while maximizing harvest yield. AWS IoT Analytics automates each of the difficult steps that are required to analyze data from IoT devices. AWS IoT Analytics is a fully managed and pay-as-you-go service that scales automatically.
    Starting Price: $3.43 per month
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    Brightly Asset Essentials

    Brightly Asset Essentials

    Brightly (formerly Dude Solutions)

    Brightly Asset Essentials is a cloud-based maintenance solution developed for daily and advanced maintenance operations management. With our software, users can initiate, assign and track the progress of maintenance work orders; manage assets and equipment; develop advanced workflows with preventive maintenance (PM) scheduling; utilize Internet of Things (IoT) technology for predictive maintenance (PdM); and manage inventory. In addition, Asset Essentials has functionality for document management, reporting and mobile capabilities.
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    Zolnoi

    Zolnoi

    Zolnoi

    Accessible Industry 4.0 solution for your manufacturing company. We enable manufacturers to improve efficiency and reliability of production assets using IoT for data acquisition, proprietary AI for predictive analytics, and end-to-end platform for actionable insights. Integrate data from multiple sources. Optimize maintenance with predictive AI. Improve machine life and efficiency. Our data-driven approach leads to continuous improvement through. Condition monitoring IoT sensors and gateways, cloud-based data integration platform, AI-powered predictive analytics algorithms, and prescriptive analytics and actionable insights. Achieve tangible benefits through our software, estimated based on customer interactions and technology R&D.
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    IBM Maximo Application Suite
    IBM Maximo® Application Suite is a set of applications for asset monitoring, management, predictive maintenance and reliability planning. Get the most value from your enterprise assets with Maximo Application Suite. It’s a single, integrated cloud-based platform that uses AI, IoT and analytics to optimize performance, extend asset lifecycles and reduce operational downtime and costs. With market-leading technology from IBM Maximo, you’ll have access to configurable CMMS, EAM, APM and RCM applications, along with streamlined installation and administration, plus a better user experience with shared data and workflows. Manage and maintain high-value assets with AI and analytics to optimize performance, extend asset lifecycles and reduce downtime and costs. Streamline inspection processes with seamless, automated asset inspections driven by real-time data and artificial intelligence.
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    RemoteAware GenAI Analytics Platform

    RemoteAware GenAI Analytics Platform

    New Boundary Technologies

    RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation.
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    Syncron Uptime
    Empower your engineers with the digital capabilities they need to predict and prevent asset downtime. Increase machine availability and asset reliability. Enable proactive maintenance and PaaS offerings. Reduce break-fix and repair expenditures. Optimize resource allocation. Improve the quality of service and customer experience. Machine availability is paramount to your customer’s success and traditional break-fix service models cannot keep pace as asset downtime can induce millions of dollars of lost output. To meet these new service demands and migrate toward a more proactive service model, it’s critical to invest in advanced technology that not only collects IoT sensor data but also runs analytics on that data to detect anomalies and prognosticate failures. Utilizing such a solution will allow you to promote high equipment availability and deliver service excellence through intelligent repair.
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    SAM4

    SAM4

    Semiotic Labs

    Eliminate unplanned downtime in AC motors & rotating assets. We predict over 9 out of 10 of failures up to 5 months in advance using electrical waveform analysis. Predictive maintenance for maintenance professionals. Deploy your scarce maintenance resources to assets that actually need help. SAM4 enables maintenance teams to perform maintenance only when a developing fault is detected. Act faster using real-time fault diagnosis. Once a fault is detected, SAM4 can also identify the specific fault at play. This means the maintenance team can get right to the source of the problem without having to thoroughly inspect the entire asset. Succeed where previous pilots with predictive maintenance failed. SAM4 is up to 20% more accurate than traditional vibration-based systems, and is also faster and cheaper to install and maintain. Detect over 9 out of 10 failures SAM4 is up to 50% more accurate than the vibration-based systems you’ve tried before.
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    Cherrywork Predictive Asset Maintenance
    Cherrywork® Predictive Asset Maintenance Application helps reduce, minimize, and optimize asset lifecycle costs across all phases, from asset investment planning, network design, procurement, installation and commissioning, operation, and maintenance through decommissioning and disposal/replacement. This application helps detect unexpected equipment failures that impact customer satisfaction and reliability. Customers expect planned outages to be communicated in advance to plan their consumption. This application helps maintain their assets proactively to avoid penalties. This application utilizes historical data from multiple sources to build accurate, testable predictive models, which allows users to generate predictions and risk scores. By integrating data from multiple sources - online monitoring systems, and weather channels, along with non-operational data (operational rules, equipment data sheets, industry standards, etc.).
    Starting Price: $30,000 one-time payment
  • 10
    Davra IoT Platform
    Davra IoT helps companies, fleet owners, OEMs, municipalities and others to define, build and rapidly bring industrial-grade IoT applications on a reliable, secure and scalable IoT platform. Get your IoT project to the market in less than 50 days. Experience an open system with integrations at its core. Reduce your IoT project cost by up to 80%. Get descriptive, diagnostic, predictive and prescriptive analytics data. Run our cloud-based streaming analytics, ML, NLP and AI algorithm at the edge of the network. Experience HTML5 dashboard visualization, advanced Geo-mapping, layout manager and much more. Get a complete developer suite with source control, versioning, full code editor and more. Provide an "asset-centric view" of IoT devices by attaching both static and dynamic attributes. Leverage a complete microservice-based design for infrastructure libraries and runtime engines.
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    Nova SensAI
    Instantly detect and automatically predict subscriber-impacting outages and impairments, most of which currently go unnoticed. Reveals event impact, origin, and root cause to prioritize and accelerate fault resolution and proactively optimize user experience. Dynamically predicts and detects outages and impairments in mobile and fixed, physical and virtual networks. Classifies, correlates and groups abnormal events affecting network performance and user experience. Isolates fault location and diagnoses root cause to drive efficient, coordinated, prescriptive action. Ingests and interprets data from multiple source systems to collapse siloes and extract integrated insight. Optimize latency, network utilization and service delivery with end-to-end, multi-layer anomaly detection and correlated analytics. Detect and troubleshoot transient degradations and periodic issues affecting performance to offer a differentiated experience.
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    IBM Watson IoT Platform
    A fully managed, cloud-hosted service with capabilities for device registration, connectivity, control, rapid visualization and data storage. From chip to app to cloud, take full advantage of cognitive Watson APIs, visual dashboards, rich developer resources and industry-leading security to accelerate enterprise IoT insight. Predictive real-time and edge analysis of user, machine and environmental data that leverages machine learning and cognitive APIs. Govern applications and devices within an IoT ecosystem: usage and performance patterns, anomaly detection, data and transaction validation. Connect IoT devices, networks and gateways through a growing ecosystem that uses open standards-based communications like MQTT and HTTPS. Identify, aggregate and transform data from your IoT sources into asset-based data structures. Use your IoT data to understand current conditions and trends, comprehend unstructured data from videos and images, and extract unstructured textual data for insights.
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    ANNEA

    ANNEA

    ANNEA

    While it is easy to say whether a machine is running or not, it takes a lot more to predict if it will be failing in a couple of days, weeks, or even months. Imagine one of your industrial assets telling you that it will have a problem in 12 months, where exactly this problem will happen, and what will be its root-cause. Having this information you can plan any repair or replacement way ahead and significantly reduce your costs with the ANNEA automated predictive maintenance platform. ANNEA is the leading next generation of condition-based predictive and prescriptive maintenance platform for your machines. Our unique end-to-end solutions enable us to create digital twins of each component of your machines through cutting edge artificial intelligence, physical modelling and normal behaviour modelling.
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    Nextbitt

    Nextbitt

    Nextbitt

    Nextbitt is a comprehensive asset and sustainability management platform designed to help organizations optimize, monitor, and extend the lifecycle of their physical assets. Built for regulated industries, it combines IoT, AI, and automation to provide real-time visibility into maintenance, energy use, and operational performance. The platform’s modular ecosystem includes asset management, sustainability tracking, and analytics, enabling data-driven decisions that enhance efficiency and compliance. Companies can integrate Nextbitt with existing systems through powerful APIs for seamless interoperability across departments. Its built-in sustainability tools also calculate carbon footprints, manage ESG performance, and ensure compliance with environmental regulations. Trusted globally, Nextbitt empowers organizations to transform infrastructure management into a strategic driver of innovation, sustainability, and growth.
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    Lumada IIoT
    Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments. By building ecosystems with customers and business partners in various business areas, we can accelerate digital innovation to create new value for a new society.
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    Prequip

    Prequip

    Prequip

    Prequip is an AI-powered predictive maintenance and facilities intelligence platform designed to monitor building systems in real time, detect anomalies, and prevent equipment failures before they occur. It connects directly to existing building infrastructure, such as HVAC systems, lighting networks, and energy meters, without requiring new hardware installations, allowing organizations to unify operational data from multiple systems into a single centralized interface. Using machine learning and advanced analytics, Prequip continuously analyzes sensor data and historical performance patterns to identify early warning signs of system degradation or abnormal behavior. These predictive insights allow facilities teams to transition from reactive maintenance, where issues are addressed only after failures occur, to proactive maintenance strategies that anticipate problems and schedule repairs in advance.
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    Novity

    Novity

    Novity

    Novity’s TruPrognostics™ engine will tell you how much time you have until you need to take maintenance action. See the future state of your plant clearly and make the right decisions today. Most organizations don’t have sufficient high-quality historical data to enable real predictive analytics. Novity uses a proprietary combination of machine learning and physics models of common machine faults, combined with the right set of IoT sensors for the right job, to enable great results no matter what data you already have. Novity’s application shows you approximately when your equipment will fail straightforwardly and unambiguously so you can spend less time interpreting charts and more time running your plant. A proprietary combination of Machine Learning and first-principles physics models of common machine faults enables true failure timeline predictions based on the physics of each specific fault progression.
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    SparkPredict

    SparkPredict

    SparkCognition

    SparkPredict, SparkCognition’s analytics solution, is revolutionizing maintenance by minimizing downtime and delivering millions of dollars in operating cost savings. SparkPredict is a turnkey solution that analyzes sensor data and uses machine learning to return actionable insights, flagging suboptimal operations and identifying impending failures before they occur. Equip your operations with predictive AI analytics that protect assets and keep them online. Drive labor efficiencies during downtime with insights that inform repairs. Retain the knowledge of your workforce with machine learning that codifies human expertise. Predict more machine problems with less work and expand asset failure horizons. Take quick, informed repair actions with explainable failure indicators. Maintain predictive accuracy with automatic model retraining that improves models over time.
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    Ansys Twin Builder
    An analytics-driven, simulation-based digital twin is a connected, virtual replica of an in-service physical asset — in the form of an integrated multidomain system simulation —that mirrors the life and experience of the asset. Hybrid digital twins enable system design and optimization and predictive maintenance, and they optimize industrial asset management. By implementing Ansys Twin Builder, you can improve top-line revenue, manage bottom-line costs and both gain and retain a competitive advantage. Ansys Twin Builder enables you to quickly create a digital twin–a connected replica of an in-service asset. This allows for enhanced lifecycle management and true predictive maintenance, saving costs to help maintain a competitive advantage.
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    Plutoshift

    Plutoshift

    Plutoshift

    Plutoshift's Operational Data Platform (ODP) delivers automated performance monitoring and predictive analysis for physical infrastructure to drive efficiency, reduce cost and waste, and help build more resilient sustainable businesses. Extracting and processing raw data for analysis is often the biggest challenge to delivering value. Plutoshift ingests, processes, and curates all your infrastructure, business, and even third-party data, creating a foundation for generating insights. We automate and maintain the entire data pipeline without the need for additional IT resources. Plutoshift provides organizations with an always-on view of their operations at the workflow, site, and enterprise level. Operators have an immediate view of trends and KPIs for every process and asset. With configurable alerts, response tracking, and contextual reports, teams can quickly identify problems, prevent downtime, and uncover the root cause of issues.
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    Fogwing IIoT Platform

    Fogwing IIoT Platform

    Factana Computing

    Fogwing is the next generation Industrial IoT platform engineered with features to build IoT Solutions for various industrial use cases; from industrial equipment monitoring, asset tracking, equipment condition monitoring to predictive maintenance. Users can build and deploy IoT based automation solutions without deep information technology expertise. The extended data analytics provides data driven analytical processes to predict operational risks and actions at lower TCO!
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    SmartMaintenance

    SmartMaintenance

    Ctrl2GO Global

    Solution for monitoring and predictive analysis of equipment condition, optimization of maintenance and repair processes. Predictive analysis of production process quality. Potential exceeding the maximum permissible load on equipment through unit operation analysis. Avoiding emergency shutdowns through predictive analysis of unit condition. Quality repair work assessment by comparing of equipment before/after operation. Automatic control of manual repair and maintenance operations. For maintenance and repair through predictive analysis of equipment condition. For purchase of new equipment through intelligent load balancing of existing assets. For spare parts and consumables according to intelligent failure prediction. Quality repair work assessment by comparing of equipment before/after operation. Automatic control of manual repair and maintenance operations.
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    Trackonomy

    Trackonomy

    Trackonomy

    Trackonomy provides an always-on smart platform that delivers end-to-end, item-level visibility across supply chains by embedding intelligence directly into physical objects. Its technology combines intelligent micro-electronics, multi-radio connectivity, and the Sentient AI platform to turn any asset into a “smart object,” enabling real-time monitoring, alerts, and predictive insights without major infrastructure changes. It is designed to remove manual processes along the chain of custody and provide actionable data that allows organizations to measure conditions and intervene immediately when issues arise. Trackonomy’s solutions support use cases such as predictive maintenance, workflow optimization, environmental monitoring, safety, security, and asset protection across logistics and industrial environments. Its disposable smart label technologies, including SmartTape, provide parcel-level GPS, cellular, and sensor tracking indoors and outdoors.
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    Guidewheel

    Guidewheel

    Guidewheel

    Get more from existing assets, lower costs, and set your team up to win with Guidewheel's AI-powered platform. The fastest way to improve factory operations. Accurately track downtime and root causes to improve utilization and efficiency. Forecast throughput and accurately track planned vs. actual production. Monitor OEE in real time and see how you’re trending over time. Accurately track cycles, cycle time, and performance against targets. Monitor energy usage and find opportunities to reduce consumption and cost. Learn of maintenance needs before they develop into issues. Monitor conditions like temperature, flow, humidity, and pressure. Reveal and address losses like preventable downtime, long changeovers, and late starts to unlock hidden capacity. Get AI-driven alerts the moment performance deviates from plan, so your team can take corrective action to stay on track. Build customer trust by delivering on time every time.
    Starting Price: $59 per month
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    PreCognize

    PreCognize

    PreCognize

    In the process industry where everything is connected to everything, and there are very few historical events, you never know where the next failure will show up. We monitor everything. Our software detects quality issues, failures in rotating and static equipment, deviations in operation modes, and process behavior. Don’t waste time on hundreds of false alarms. Instead of hundreds of anomalies a day, we produce up to five actionable alerts a day. Get notified of a failure a week to 24 hours in advance. No more surprises in the middle of the night. Planned, proactive maintenance saves money. Industrial assets require a different approach. We automatically combine your experts’ knowledge with machine learning to achieve a unique predictive monitoring solution. Your sensors and data already exist. It takes only two weeks for your process engineer to specify the plant’s structure and behavior, and the software is up and running!
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    Sprout.ai

    Sprout.ai

    Sprout.ai

    Our AI-powered technology helps you deliver fast and accurate claims decisions, enabling you to better serve your customers. However, by adapting certain features and data sources, we have developed a solution that’s configurable for every insurance line, from health and life insurance to motor and property. Sprout.ai provides fast and accurate claims decisions whatever the sector. From handwritten doctor’s notes, to call transcripts and prescriptions, our technology extracts all the relevant information from any type of claim document. The claim is validated with external data points such as treatment codes, provider network policies, or medication information, and then checked against policy documents. Deep learning AI algorithms predict the best next step for a claim and pair it with a clear justification.
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    Nikola Labs Vero

    Nikola Labs Vero

    Nikola Labs

    Improve machine uptime and increase corporate profitability without expensive CapEx programs or complicated engineering. Nikola Labs makes it easy to quickly scale Vero®, the affordable, end-to-end condition monitoring solution, across your enterprise so you can receive the facility and enterprise-level insights needed to make critical reliability decisions. With unprecedented labor shortages and a retiring skilled workforce, manufacturers are scrambling to maintain uptime and meet production deadlines. Nikola Labs gives you a competitive advantage by providing your workforce with the predictive insights needed to keep your factories optimized while driving the transformation from a reactive mindset to a proactive culture. And since our end-to-end solution includes everything from professional installation to expert analysis and prescriptive maintenance recommendations, your teams are free to plan and perform scheduled maintenance, not put out fires.
    Starting Price: $199 one-time payment
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    aspenONE Asset Performance Management (APM)
    Get accurate failure alerts weeks or months in advance with real-time data and predictive analytics. Leverage the combination of prescriptive maintenance, root cause analysis, RAM analysis and more to address issues at the equipment, process and system levels. Quickly deploy automated Asset Performance Management solutions through low-touch machine learning to predict asset failures and reduce downtime — plant-wide, system-wide or across multiple locations.
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    Infor IoT
    Infor Internet of Things (IoT) delivers secure sensor data ingestion—at scale from anywhere. With Infor IoT, sensor data is synchronized with Infor CloudSuite™ EAM information, bringing deeper context into asset health monitoring. This contextual information drives better exception detection, workflows, reporting, data analytics, and machine learning. Infor IoT’s sensor readings are stored in the Infor Data Lake, allowing myriad possibilities for richer IoT data consumption. Device data can also be augmented with attributes and metadata that enable advanced search and device management capabilities. Monitor telemetry in near real-time with the rule engine, use device templates to simplify device configuration and onboarding, experience a portal architecture designed for scale and leverage a flexible condition and action rule editor.
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    Reekoh

    Reekoh

    Reekoh

    Make your asset, operational and business data interoperable using one platform. We empower enterprises across all industry segments with capabilities to reduce complexity, remove barriers and accelerate time-to-value in their integrated solutions, uniquely bringing together Physical (IoT/IIoT/OT) and Application (IT) data. Securely manage OT, IoT, IIoT and business app data ingestion from across disparate and fragmented systems, protocols, networks and data formats. Enrich contextual data, manage metadata, perform transformation and utilsie data mapping to work with common data models and schemas. Integrate data to various endpoints for application and process logic, storage and data analysis, as well as physical and digital automation. Reekoh Accelerate™ is a hybrid integration platform that powerfully treats data from physical and digital assets as first class citizens. It provides a secure and agile toolset for device and data management, business workflow and automation.
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    Emonitor

    Emonitor

    Rockwell Automation

    Our Bulletin 9309 Emonitor® condition monitoring software works with our monitors and portable data collectors to help establish and execute a condition-based predictive maintenance program. Emonitor software provides you with a comprehensive suite of tools for long-term trending, plotting, and alarming capabilities to detect the earliest possible indicators of developing machine faults. Provides the ability to schedule automated data collection from any number of 1444 series or 1440 series monitors or machines. Supports Dynamix 2500 and Enpac 2500 Data Collectors. Allows the ability to import/export data from any OPC server. Support tools for alarming and fault frequency identification. Offers completely customizable, pre-configured plot views. Provides easy report generation. Navigate the Emonitor interface and deep dive into all of the capabilities this software can put at your fingertips.
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    Falkonry

    Falkonry

    Falkonry

    Falkonry makes the physical world’s information accessible and usable through AI-powered smart visibility and insights. Continuously monitor all assets and processes in your plant to focus human attention on important signals. Get real-time insight into known or unknown reliability and quality issues through multi-modal discovery and explanation of events. Spin through vast data volumes to address incidents and systemic issues without requiring massive training or setup time. Predictive Maintenance to increase uptime and yield in vertical casting and hot rolling operations. Continuous Process Monitoring to enhance production efficiency and product quality for lyophilizers and isolators. Condition-based Maintenance Plus to enable mission success with early detection of adverse conditions & anomalies. Patented ML core that provides real-time, actionable insights with explanation for informed decisions.
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    Eugenie

    Eugenie

    Eugenie

    Eugenie’s powerful decision framework enables industrial organizations to get the maximum value out of their assets and processes. At Eugenie, we have made AI an invisible, yet a robust force to ensure industrial operational efficiency and reliability. We have built Eugenie as an inclusive system of technology, efficiency, and trust. Eugenie’s unique framework of Explainable AI empowers decision-makers with data-driven conclusions. Armed with root-cause analysis and predictive insights, Eugenie’s digital ecosystem enables informed decision-making. The corporative ecosystem of Eugenie comprises of congruence between human and machine capabilities. Eugenie’s AI-first approach encompasses user-centric designs to improve machine and process reliability. We consider technology as an ally to augment human efficiency. Eugenie’s highly agile digital infrastructure makes it an ideal solution for quick industrial insight generation.
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    C3 AI Sensor Health
    C3 AI® Sensor Health ensures the operational effectiveness of IoT devices and network infrastructure during both the deployment and the operational life cycle of IoT devices. Visualize sensor status, deployment progress, and geographic regions of concern, and access a prioritized view of sensors with identified health issues. Identify sensor deployment issues, diagnose the source of sensor malfunctions, optimize field service, and forecast future deployment progress.Ensure device installation information is correct, consistent, and current across source and cloud data systems. Monitor and analyze physical integrity, functionality, and communication of sensor devices to optimize field service and issue resolution. Visualize planned sensor deployment, actual deployment and provisioning progress, device operational issues and trends, and service work priorities. Present analyses and summarize results using preformatted and custom reports, including failure analysis, health analysis, etc.
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    BellaDati

    BellaDati

    BellaDati

    BellaDati IoT Framework reinvents the way how quickly enterprises can build their IoT applications or Embed advanced analytics. The pre-integrated suite provides 80% of features out-of-the-box and eliminates risk, time and cost associated with the process to build new solutions. Runs applications and interfaces to data sources and analytics models. A visual framework for users to interact with data and analytical results. A development environment for assembling data, analytics into situational intelligence applications. Development environment offers for the mathematical modeling and predictions. Through API, users can integrate BellaDati with their own custom client application. Reports, dashboards, data sets, import resources. BellaDati enables to combination data from different data sources. BellaDati Framework as key technology enabler of IoT. Load balancing of data within transformations and over multiple cluster nodes.
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    DC-OM DigitalClone for Wind O&M

    DC-OM DigitalClone for Wind O&M

    Sentient Science Corporation

    Sentient Science provides DigitalClone for Wind Operations and Maintenance (DC-OM) as a field-validated SaaS solution to wind turbine operators, service providers and OEMs for a holistic view of the health and remaining useful life (RUL) of an asset’s critical systems and components. This solution helps optimize predictive maintenance programs towards reducing O&M costs and extending asset life. Our customers use DC-OM as either a stand-alone monitoring product or a complementary unifying solution with existing CMS/diagnostic solutions - in both these use cases, DC-OM is optimized to 1) autonomously detect actionable damage in assumed-healthy assets and, 2) provide tracking of damage progression with robust uncertainty quantification. The DC-OM insights are powered by a proprietary fusion framework of physics informed machine learning fueled by a unique cross-source data unification architecture.
    Starting Price: Upon request
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    Amazon Monitron
    Detect machine issues before they occur with machine learning (ML), and take action. Start monitoring equipment in minutes with easy installation and automatic, secure analysis through the Amazon Monitron end-to-end system. Improve system accuracy continuously as Amazon Monitron learns from technician feedback entered in the mobile and web apps. Amazon Monitron is an end-to-end system that uses machine learning to detect abnormal conditions in industrial equipment and enable predictive maintenance. Save on costly repairs and prevent factory equipment downtime with easy-to-install hardware and the power of ML. Reduce unplanned equipment downtime with predictive maintenance and machine learning. Amazon Monitron uses machine learning on temperature and vibration data. Amazon Monitron can help you predict equipment downtime before it happens. Compare what it costs to get started with how much you could save.
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    Aspen Mtell

    Aspen Mtell

    Aspen Technology

    Recognize patterns in operating data that predict degradation and impending failure – well before it happens. Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions. Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks, not months. Aspen Mtell and Aspen Cloud Connect™ integration enables access to OPC UA-supported devices. Recognize patterns in operating data that predict degradation and impending failure – providing the first layer of protection against asset degradation. Using AI-assisted agent creation, complement existing maintenance strategies to quickly deploy autonomous agents site- or enterprise-wide. Using precise failure pattern recognition, avoid the high rate of false positives common with model-based solutions. Using low-touch machine learning, rapidly identify normal and abnormal behaviors to start protecting equipment within weeks.
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    PM Manager

    PM Manager

    Building Engines

    Standardize maintenance activities at scale for all your properties with Prism Preventive Maintenance, from Building Engines. View, schedule & assign maintenance tasks for every piece of equipment in every building. Digitally consolidate maintenance data for each device (manuals, historical records, etc.). Stay on top of your equipment’s health & status with real-time issue tracking. Empower engineers to manage & update tasks on-the-go with the Prism Mobile app. Create consistent maintenance schedules across multiple assets with the push of a button. Make it simple for teams to create work orders in the field as soon as issues are found. Upload ‘how-to’ equipment guides and videos for less experienced staff. Improve preventive operations to reduce capital expenditures & maximize asset value. Know when equipment is reaching end of life for more effective capital planning.
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    Thingsboard

    Thingsboard

    Thingsboard

    It enables device connectivity via industry standard IoT protocols - MQTT, CoAP and HTTP and supports both cloud and on-premises deployments. ThingsBoard combines scalability, fault-tolerance and performance so you will never lose your data. Provision, monitor and control your IoT entities in secure way using rich server-side APIs. Define relations between your devices, assets, customers or any other entities. Collect and store telemetry data in scalable and fault-tolerant way. Visualize your data with built-in or custom widgets and flexible dashboards. Share dashboards with your customers. Define data processing rule chains. Transform and normalize your device data. Raise alarms on incoming telemetry events, attribute updates, device inactivity and user actions. Construct your ThingsBoard cluster and get maximum scalability and fault-tolerance with microservices architecture. ThingsBoard also supports both cloud and on-premises deployments.
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    HyperConnect

    HyperConnect

    HyperConnect

    HyperConnect is an enterprise-grade, open source Internet-of-Things framework that utilizes the Elastos Peer-to-Peer Carrier Network to route network traffic between IoT devices. The modular architecture provides a solid base for any industry vertical in the Internet-of-Things. Communication, data transfer and storage are vital elements of the Internet of Things. Obtain relevant metrics, recognize patterns and understand data by placing it in a visual context. Create, manage and validate python scripts on a low-level for sensors with the built-in compiler. Collect data in real-time from multiple inputs and produce meaningful information automatically. Manage and monitor multiple devices and sensors locally or remotely in a simple and secure manner. The Graphical User Interface (GUI) allows maximum flexibility with no, or minimal, coding. Secure peer-to-peer communication for the entire Internet-of-Things network, so you can own your data.
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    KloudGin

    KloudGin

    KloudGin

    KloudGin is the only combined, one cloud field service and asset management solution on a single easy-to-use platform. Connecting customers, employees and assets with AI powered access to information on any device. All work in one – KloudGin is the only industry-focused system that eliminates silos and unifies Field Service Management (FSM) and Enterprise Asset Management (EAM) in a single cloud platform. KloudGin’s Artificial Intelligence constantly learns from your daily operations and user interactions to predict future needs and improve your productivity. You work smarter, enhance your processes and increase revenue. Win-Win-Win!
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    AssetFuture

    AssetFuture

    AssetFuture

    Work smarter with better data using AssetFuture’s technology to generate insights and forecast your asset lifecycle. We partner with you to create clarity with data. Get transparency with intelligent classification, virtualization, and predictive modeling of the asset lifecycle. Get up-to-date data, lifecycle modeling, and dashboards to control maintenance costs, plan capital spending, and develop future asset strategies. AssetFuture is a technology platform that enables organizations to effectively predict cost, risk, and performance of the lifecycle of the built environment. Our customers have a deep insight into the performance and cost metrics of their Asset Portfolios and make better decisions, faster and with confidence. Real-time visualization of predicted Capital Expenditure across your whole portfolio, or by individual assets. AssetFuture gives you the flexibility to prioritize spending, develop asset renewal programs and execute them effectively.
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    Hitachi Visualization Suite
    Unite video, IoT data and analytics for alerts, insights, and tools that help you take smarter actions to improve safety and operations. Unify video, IoT and social media data, and analytics on a single pane of glass. Visualize and analyze unlimited layers of data from unlimited sources. Expand across departments or multiple organizations with user-specific layers. Build on your investment by adding new layers over time and extending your capabilities. Gain geospatial intelligence, statistical insights and predictive analytics for proactive action. Automate workflows to enhance responses and collaborate with mobile apps from anywhere. Gain visibility into smart spaces and the IoT data that empowers the decisions that make them possible, all in one place. Visualize and overlay data on maps, from facility to citywide, wherever your data describes. Combine multiple systems to gain alerts from a single source, shifting from reactive to proactive.
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     XY Sense

    XY Sense

    XY Sense

    XY Sense is an AI-driven workplace occupancy intelligence platform that combines advanced, privacy-preserving sensors and a cloud analytics suite to capture continuous, anonymous occupancy and utilization data across desks, meeting rooms, floors, and zones in real time so companies can monitor how their spaces are used and make data-driven decisions for hybrid work strategies, portfolio optimization, and facility operations; its suite includes wide-area, entry/exit, and presence sensors that detect human presence with high accuracy (down to about 1 ft every few seconds) while protecting privacy by only transmitting X-Y coordinates rather than identifying individuals, and its Insights Platform transforms this data into actionable dashboards, live utilization views, predictive reports, and APIs for integration with workplace management tools.
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    Powerfleet

    Powerfleet

    Powerfleet

    Powerfleet is an AIoT-powered fleet intelligence platform that unifies real-time data from vehicles, assets, and IoT devices into a single dashboard, giving organizations full visibility into on-road, in-warehouse, and off-road operations. Its “Unity” platform ingests data from any telematics device, camera, sensor, or third-party system and harmonizes it into actionable insights, thus eliminating data silos and “blind spots.” Features include vehicle and asset tracking, driver behavior monitoring (harsh braking, speeding, fatigue, etc.), route optimization, cargo-condition sensing (temperature, humidity, vibration), maintenance and diagnostics monitoring, compliance and regulatory reporting, and AI-powered video telematics for safety and incident prevention. For on-site operations (like warehouses, forklifts, construction, or heavy-equipment use), Powerfleet offers IoT-based safety and performance tools.
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    Augury

    Augury

    Augury

    We are on a mission to make machines more reliable. Keep your facilities, utilities, and production lines running at their best with Augury. Predictive technology provides visibility into the actual condition of your equipment. Avoid surprises, make expert-level reliability decisions, and improve equipment effectiveness using real-time data. Augury’s end-to-end solutions provide industry leaders with early, actionable and comprehensive insights into machine health and performance. Follow machine health trends, receive alerts, and track repairs with an intuitive user platform on the web and through our mobile app.
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    Zoho IoT
    Zoho IoT is a low-code, cloud-based IoT platform designed to help organizations build, deploy, and scale connected solutions across a wide range of use cases, including Industrial IoT (IIoT), smart buildings, energy monitoring, fleet management, asset tracking, and utilities monitoring. The platform supports 40+ IoT and industrial communication protocols such as MQTT, OPC-UA, Modbus, BACnet, SNMP, CoAP, and HTTPS, enabling seamless connectivity with sensors, machines, PLCs, meters, gateways, and vehicles. Zoho IoT provides native capabilities for device onboarding, real-time data ingestion, digital twins, dashboards, alarms, workflow automation, and device lifecycle management. With its low-code application builder, users can rapidly create custom IoT applications, rules, and workflows without extensive coding. Built-in role-based access control, data security, and scalable cloud infrastructure ensure enterprise-grade reliability.
    Starting Price: $49/application/month
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    Crosser

    Crosser

    Crosser Technologies

    Analyze and act on your data in the Edge. Make Big Data small and relevant. Collect sensor data from all your assets. Connect any sensor, PLC, DCS, MES or Historian. Condition monitoring of remote assets. Industry 4.0 data collection & integration. Combine streaming and enterprise data in data flows. Use your favorite Cloud Provider or your own data center for storage of data. Bring, manage and deploy your own ML models with Crosser Edge MLOps functionality. The Crosser Edge Node is open to run any ML framework. Central resource library for your trained models in crosser cloud. Drag-and-drop for all other steps in the data pipeline. One operation to deploy ML models to any number of Edge Nodes. Self-Service Innovation powered by Crosser Flow Studio. Use a rich library of pre-built modules. Enables collaboration across teams and sites. No more dependencies on single team members.
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    Ardexa

    Ardexa

    Ardexa

    Be better informed, make decisions faster and see the impact in real-time. Some call it industry 4.0, some call it Industrial IoT and some call it Device Management. Irrespective of name, Ardexa helps you make these connections securely. There is nothing more important than to monitor how products and operations are performing in real time. Ardexa’s open IoT platform extracts the data that you need to analyze performance, predict failures and remotely control these dispersed assets. The pre-packaged solution enables you to deploy devices securely without needing to be a security specialist. Ardexa uses digital certificates to identify and authenticate each and every agent. All communications with the cloud are encrypted and authenticated, so your devices, along with your data, are protected. Devices can be connected faster than ever before with our agent, pre-compiled and dependency free.