Alternatives to Concentio
Compare Concentio alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Concentio in 2024. 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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SBS Quality Management Software Suite
Sunday Business Systems
The SBS Quality Management Software Suite (QMS Suite) is a group of 5 software modules that work together for efficient Quality compliance. The QMS Suite can be deployed on your local server or accessed from our cloud server. Each module is designed for ease-of-use to reduce training overhead and improve overall compliance. Password controlled access and privileges ensure you may control access to critical features for each user. The SBS QMS Suite of modules: SBS Quality Database - CAPA / 8D with root cause analysis - Nonconformance management - Risk analysis (FMEA, SWOT, risk register) - Audit management SBS Ground Control - Employee training management (LMS) - Document control SBS Asset Tracking Database - Calibrated equipment - Preventive maintenance SBS Inspection Database - Data collection / SPC - Control Plans SBS Vendor Management - Approved vendor list / AVL - Supplier qualification plans Great product for efficient and affordable QMS Compliance.Starting Price: $4,268 -
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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 (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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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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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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Zolnoi
Zolnoi
Accessible Industry 4.0 solution for yout 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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Syncron Uptime
Syncron
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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Davra IoT Platform
Davra
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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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
Incture Technologies
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 -
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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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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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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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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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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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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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C3 AI Sensor Health
C3 AI
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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Infor IoT
Infor
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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Uptake
Uptake
Manage risk. Reduce downtime. Build capacity. Put the world's largest knowledge collection of asset performance information to work in your day-to-day operations. Turn messy work order data into a clean and reliable single source of truth. Optimize your maintenance program using work order data that is automatically cleaned and correctly stored. Know how much your maintenance is really costing you. Conduct real-time cost analysis. Enable asset survival analysis and recommend parts replacements. Compass enables a deeper view into your true maintenance costs, component reliability and component lifespan. Know what each maintenance dollar is spent on. Surface all relevant data in one business intelligence dashboard. Quick and easy filtering allows you to sort by equipment type, plant location, and more. -
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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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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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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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Foghub
Foghub
Simplified IT/OT Integration, Data Engineering & Real-Time Edge Intelligence. Easy to use, cross-platform, open architecture, edge computing for industrial time-series data. Foghub offers the Critical-Path to IT/OT convergence, connecting Operations (Sensors, Devices, and Systems) with Business (People, Processes, and Applications), enabling automated data acquisition, data engineering, transformations, advanced analytics and ML. Handle large variety, volume, and velocity of industrial data with out-of-the-box support for all data types, most popular industrial network protocols, OT/lab systems, and databases. Easily automate the collection of data about your production runs, batches, parts, cycle-times, process parameters, asset condition, performance, health, utilities, consumables as well as operators and their performance. Designed for scale, Foghub offers a comprehensive set of capabilities to handle large volumes and velocity of data. -
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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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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
Ansys
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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Lumada IIoT
Hitachi
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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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!Starting Price: $12 -
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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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Amazon Monitron
Amazon
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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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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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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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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SensorCloud
LORD Corporation
SensorCloud is a unique sensor data storage, visualization and remote management platform that leverages powerful Cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis. SensorCloud's core features include FastGraph, MathEngine®, LiveConnect, and the OpenData API. SensorCloud allows you to easily create dashboards to visualize all of your data. Dashboards can be as simple as a single Timeseries Graph widget, or advanced with Radial Gauges, Text Charts, Linear Gauges, FFTs, Statistics, etc. Since SensorCloud allows you to upload as much data as you want, and LORD's sensors can sample at very high rates, it was important to be able to quickly visualize massive amounts of data. We struggled to find any application that could handle even a few gigabytes of data, so we started from the ground up with our own unique algorithm.Starting Price: $35 per month -
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FTMaintenance Select
FasTrak SoftWorks, Inc.
FTMaintenance Select is a robust and easy to use computerized maintenance management system (CMMS) built by FasTrak SoftWorks. Available as a cloud-based and on-premises solution, FTMaintenance Select enables organizations of all sizes to efficiently implement preventive and predictive maintenance programs and streamline maintenance operations. Key features of FTMaintenance Select include work order management, asset management, MRO inventory management, preventive maintenance, and more. FasTrak also provides complimentary startup services to new FTMaintenance Select customers. You will work hand-in-hand with a team of implementation specialists that will guide you through every stage of implementation. After initial product setup, FasTrak provides free, webinar-based user training to help you effectively use the system right from the start. Our highly responsive, knowledgeable, and friendly technical support team provides assistance throughout your entire implementation process.Starting Price: $40.00/month -
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Hitachi Visualization Suite
Hitachi Vantara
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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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. -
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sensemetrics
sensemetrics
Secure access to state-of-the-art data visualization and analytics, when and where you need it. Advanced device management controls, diagnostics, and analytics for distributed sensor networks. Create customized image-based visualizations with embedded sensor data and associated alert status. Build data tables consisting of raw and calculated metrics for simple viewing, comparison, and export. Record and journal modifications to system and sensor properties across the project lifecycle. Define conditions for calculation of user-defined threshold exceedance, and flexible notification distribution. Import critical documents, photos, inspection records, and event data as a record of project progress and performance. Powerful tools for report creation and distribution, and linking reports to real-time charts, graphs, maps, and dashboards. -
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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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TRACTIAN
TRACTIAN
Avoid failures in your machines and leave unplanned equipment downtime behind with the end-to-end solution for industries. Smart Trac collects vibration, temperature, and hour meter data and transmits it to TRACTIAN platform. Users can access information about a machine's health conditions in real-time via smartphone, tablet, or desktop. Smart Trac uses machine history data from your assets and our complete database, making it possible to identify high assertiveness failures such as misalignment, cavitation, and unbalance. TracOS™ allows you to manage your production lines efficiently. With a single tool, you can automate work orders, concentrate team communication, calculate essential maintenance KPIs, manage your inventory and cost center, and more.Starting Price: Free -
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ThingSpeak
ThingSpeak
ThingSpeak™ is an IoT analytics platform service that allows you to aggregate, visualize and analyze live data streams in the cloud. ThingSpeak provides instant visualizations of data posted by your devices to ThingSpeak. With the ability to execute MATLAB® code in ThingSpeak you can perform online analysis and processing of the data as it comes in. ThingSpeak is often used for prototyping and proof of concept IoT systems that require analytics. Internet of Things (IoT) describes an emerging trend where a large number of embedded devices (things) are connected to the Internet. These connected devices communicate with people and other things and often provide sensor data to cloud storage and cloud computing resources where the data is processed and analyzed to gain important insights. Cheap cloud computing power and increased device connectivity is enabling this trend. -
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XMPro
XMPro
Improve operational excellence, reduce risk and increase asset utilization with XMPro's IoT Application Suite. XMPro integrates IoT solutions into existing business workflows to enable smarter business decision-making. The platform comes with integration capabilities to connect disparate systems securely, event stream processing for processing large volumes of data from various data sources in real-time, analytics, IoT device management, and more. -
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MP2
MP2
As industries become increasingly technically advanced, it is more important than ever to ensure plant profitability with an organized, accountable maintenance program. MP2 is a completely integrated asset management system enabling your company to organize and track inventory, manage equipment costs, track equipment history, schedule preventive maintenance tasks, maintain confidential labor records, allocate resources, generate work orders, requisition and purchase parts, and project equipment failures. MP2 accommodates any size facility. You can install MP2 on a standalone or client/server system. Furthermore, MP2 has seamless upgrade capability. For example, you can enter data into a standalone version, and then upgrade it to a client/server system with no additional data entry. This level of user control has contributed to making MP2 the choice of more maintenance professionals than any other maintenance management system in the world. -
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ICONICS IoT
ICONICS
Make your HMI/SCADA platform more accessible and efficient with the power of IoT. The Internet of Things (IoT) sees the world in a smart, interconnected way. Its vision is to connect assets, or “things”, to a larger IoT software system, or network of systems that make up a smart grid. These “things” retain the capability of actuation, control, automation and autonomous operation. The unification of devices results in vast amounts of data being collected, which empowers users with more opportunities than ever. ICONICS’ SCADA with IoT collects this data and provides the operator with a new layer of actionable intelligence. ICONICS IoT connects your buildings, facilities, and equipment through secure TLS encryption and Microsoft Azure. Your data in the cloud can be accessed from anywhere through pub/sub architecture for real-time visualization of KPI data at the edge. We deliver an efficient, secure connection to the cloud through bi-directional AMQP for Microsoft Azure. -
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Leverage IoT-enriched business insights to embed in and extend business processes for transformative outcomes. The SAP Internet of Things solution offers capabilities to address industrial IoT use cases. As the IoT layer of SAP’s Business Technology Platform, it enables users to reimagine business processes and models with embedded IoT services and data. The SAP Internet of Things (SAP IoT) solution has a reference architecture that offers business services and specific capabilities to address critical industrial IoT use cases across manufacturing, supply chain, logistics, assets, products, service management, and more. Cloud service for building IoT applications and integration to business applications. Big Data that's built-in and managed. IoT data enriched with business context, rules, and event-driven integration framework. Analytical services with live integration to SAP Analytics Cloud.
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Skysens IoT Platform
Skysens
Skysens IoT platform is an application layer with middleware specialized for IoT applications. The platform can work with multiple IoT sources either IP-based or non-IP based such as LPWAN with multiple features such as user management, alarming, reporting, rule management, and many more. With Skysens middleware, the platform can work with existing legacy data sources such as SCADA will full functionality. It has different application modules for smart industry, smart cities, and smart businesses for easy use. Different pre-configured applications such as condition monitoring, indoor and outdoor location tracking, maintenance monitoring, and many more. Device ID-based cross rule function in order to create smart actions depending on the rules with help of bi-directional connectivity of LPWAN networks. API server for connectivity agnostic LPWAN-based application integration with REST APIs. Skysens Mobile app is ready for use on Android and iOS.Starting Price: Free -
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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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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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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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Amazon Lookout for Equipment
Amazon
Use data from existing sensors to create machine learning (ML) models specific to your equipment. Respond with speed and precision with automatic equipment monitoring that pinpoints anomalous sensors. Accelerate issue resolution with immediate notifications and automatic actions when anomalies are detected. Improve model performance and accuracy of alerts by incorporating anomaly trends and feedback. Amazon Lookout for Equipment is an ML industrial equipment monitoring service that detects abnormal equipment behavior so you can act and avoid unplanned downtime. Avoid unplanned downtime by automatically detecting abnormal equipment behavior. Lookout for Equipment automatically analyzes sensor data for your industrial equipment to detect abnormal machine behavior. This allows you to detect equipment anomalies with speed and precision, quickly diagnose issues, and act to avoid unplanned downtime, with no ML experience required.
