Alternatives to Amazon Monitron
Compare Amazon Monitron alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Amazon Monitron in 2026. Compare features, ratings, user reviews, pricing, and more from Amazon Monitron competitors and alternatives in order to make an informed decision for your business.
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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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The Asset Guardian EAM (TAG)
Verosoft Design Inc
Meet The Asset Guardian (TAG) Mobi – Now with mobiMentor AI to Maximize Wrench Time TAG Mobi is an AI-powered EAM solution for Microsoft Dynamics 365 Business Central, now enhanced with mobiMentor AI — an agentic AI ecosystem that gives maintenance experts more wrench time by automating admin tasks. Reduce downtime and operational risk with integrated, intelligent maintenance tools. • Asset Lifecycle Management – Maximize asset performance and extend lifespan • Preventive & Predictive Maintenance – Cut failures and unplanned downtime • Work Order Management – Dispatch, track, and complete tasks with ease • Advanced Reporting – Real-time KPIs via intuitive dashboards • IoT Monitoring – Get alerts before issues disrupt operations With AI-driven workflows, voice commands, and no-code automation, TAG Mobi keeps teams focused on maintenance—not paperwork. -
3
Amazon SageMaker
Amazon
Amazon SageMaker is an advanced machine learning service that provides an integrated environment for building, training, and deploying machine learning (ML) models. It combines tools for model development, data processing, and AI capabilities in a unified studio, enabling users to collaborate and work faster. SageMaker supports various data sources, such as Amazon S3 data lakes and Amazon Redshift data warehouses, while ensuring enterprise security and governance through its built-in features. The service also offers tools for generative AI applications, making it easier for users to customize and scale AI use cases. SageMaker’s architecture simplifies the AI lifecycle, from data discovery to model deployment, providing a seamless experience for developers. -
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Mingo
Mingo Smart Factory
Trusted by leading manufacturers, Mingo Smart Factory is an easy-to-use, fast to deploy OEE software that can be set up in less than 1 day. Collect data automatically and get insight into important manufacturing KPIs like OEE, cycle time, downtime, utilization, throughput, and many others with visuals like scoreboards, dashboards, and mobile app. Start small and as you grow, expand to a full manufacturing productivity platform. With Mingo, improve OEE and get insight into what's happening in the plant. Mingo Smart Factory is manufacturing productivity and analytics software that provides real-time visibility on the factory floor that helps reduce downtime, improve on-time delivery, and increase profitability of manufacturing companies. Mingo empowers manufacturers to start simple, think big, move fast, and easily grow from a single machine at one plant to thousands of machines across the globe with manufacturing productivity and analytics software. -
5
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. -
6
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. -
7
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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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. -
9
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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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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AssetWatch
AssetWatch
We serve hundreds of customers, preventing downtime daily and driving significant savings to the bottom line. Discover strategies to eliminate downtime in your industry, reducing financial losses and operational inefficiencies. We provide continuous monitoring across the important assets that lead to lost production and costly repair if they fail. Organizations lose production capacity each year due to unplanned downtime and its effects. Over 100 machine issues can be proactively monitored and fixed in their infancy. Machine issues can be identified weeks if not months ahead of failure. Our platform provides monitoring across a broad range of conditions and components, delivering a wholistic view of an asset’s health. Early detection enables proactive efforts to address issues in the least expensive way, eliminating unplanned downtime and reducing annual machine repair costs. We bring the best of humans and technology to help our customers know what steps need to be taken.Starting Price: $199 per month -
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Senseye PdM
Senseye
Senseye PdM uses proprietary machine learning algorithms to spot, in advance, assets that are likely to fail. Senseye automatically analyzes your machine performance and predicts when maintenance is needed. Maintenance teams are able to focus on those assets that need the most attention. Lower maintenance costs and improve downtime forecasting accuracy with an easy to implement solution. Senseye PdM is designed to scale and supports any number of connected machines, big or small. Automated condition monitoring insights only highlight the relevant information. Understand how long your machinery is likely to perform and when maintenance is needed. Seamlessly analyze the condition of tens of thousands of assets. Get a clear and continuous indication of assets that require your attention. Senseye guarantees machine downtime reductions for industrial companies. -
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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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CORVINA
CORVINA
CORVINA is an industrial IoT cloud platform engineered for smart manufacturing and machine-builder applications, combining edge management, data analytics, and remote connectivity in a unified system. It enables companies to monitor plants and machines in real time, deploy predictive-maintenance schedules, manage fleets of equipment, analyze machine performance, and reduce downtime, from remote access and VPN tunneling to soft-PLC embedded control, edge visualization, and multi-protocol support. The platform supports the full device-to-cloud workflow; onboarding devices and gateways, secure data transmission, edge computing, and cloud-based dashboards. It integrates easily with existing enterprise systems (ERP, MES, CRM), offers role-based access control and centralized device-management tools, and is backed by a parent company with decades of experience in industrial automation. -
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Amazon CodeGuru
Amazon
Amazon CodeGuru is a developer tool powered by machine learning that provides intelligent recommendations for improving code quality and identifying an application’s most expensive lines of code. Integrate Amazon CodeGuru into your existing software development workflow where you will experience built-in code reviews to detect and optimize the expensive lines of code to reduce costs. Amazon CodeGuru Profiler helps developers find an application’s most expensive lines of code along with specific visualizations and recommendations on how to improve code to save money. Amazon CodeGuru Reviewer uses machine learning to identify critical issues and hard-to-find bugs during application development to improve code quality. -
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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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hIOTron
hIOTron
hIOTron's machine monitoring product is a comprehensive solution that enables you to monitor and analyze your industrial machines in real-time. With this product, you can track machine performance, detect anomalies, predict failures, and schedule maintenance activities to improve uptime and reduce downtime. The machine monitoring product consists of a range of sensors and devices that collect data from your machines, such as temperature, pressure, vibration, and other operational parameters. This data is then transmitted to a central hub where it is analyzed using advanced analytics and machine learning algorithms to identify patterns and trends. hIOTron platform provides a user-friendly dashboard that displays real-time machine data, key performance indicators, and alerts. It also provides reports and analytics to help you understand your machine performance and identify areas for improvement. -
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SAP EAM
SAP
Maintain and service the performance of physical assets with real-time insights, the IoT, machine learning, mobility and advanced and predictive analytics. Plan, schedule, and execute maintenance operations better by integrating intelligent technologies that deliver new value and optimize your processes. Share best practices for optimal deployment, management, and maintenance of equipment. Manage assets and customer service processes more effectively with a single repository for asset and equipment information. Reduce equipment downtime and maximize asset productivity with an automated approach to tracking equipment usage information. -
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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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Amazon Augmented AI (A2I)
Amazon
Amazon Augmented AI (Amazon A2I) makes it easy to build the workflows required for human review of ML predictions. Amazon A2I brings human review to all developers, removing the undifferentiated heavy lifting associated with building human review systems or managing large numbers of human reviewers. Many machine learning applications require humans to review low confidence predictions to ensure the results are correct. For example, extracting information from scanned mortgage application forms can require human review in some cases due to low-quality scans or poor handwriting. But building human review systems can be time consuming and expensive because it involves implementing complex processes or “workflows”, writing custom software to manage review tasks and results, and in many cases, managing large groups of reviewers. -
21
Folio3
Folio3 Software
Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy. -
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FactoryTalk Analytics
Rockwell Automation
FactoryTalk® Analytics™ provides industrial manufacturing practitioners with a complete spectrum of descriptive to prescriptive analytics solutions for achieving business outcomes such as overall equipment effectiveness (OEE) improvement, downtime reduction, and quality or process improvement. Customers benefit from a full-service customer journey—from setting up a solid industrial data management foundation to single-pane-of-glass views of operations; collaborative data mashups to building and deploying self-service machine learning or analytical models at the controller, edge or in the cloud. With visual tools, the ability to put data science in the hands of domain experts, and innovative analytical templates to drive proven results, the entire machine learning workflow is supported from data to value for addressing predictive maintenance, anomaly detection, and model process control use cases. -
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aspenONE Asset Performance Management (APM)
Aspen Technology
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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Amazon DevOps Guru
Amazon
Amazon DevOps Guru is a machine learning (ML)-powered service designed to make it easy to improve the operational performance and availability of an application. DevOps Guru helps detect behaviors that deviate from normal operating patterns, so you can identify operational errors long before they affect your customers. DevOps Guru uses ML models with information collected over years by Amazon.com and AWS Operational Excellence to identify anomalous application behavior (for example, increased latency, error rates, resource limitations, etc.) and helps detect critical errors that could potentially cause service interruptions. When the DevOps Guru identifies a critical issue, it automatically sends an alert and provides a summary of related anomalies, the likely root cause, and context on when and where the issue occurred.Starting Price: $0.0028 per resource per hour -
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Amazon Fraud Detector
Amazon
Build, deploy, and manage fraud detection models without previous machine learning (ML) experience. Gain insights from your historical data, plus 20+ years of Amazon experience, to construct an accurate, customized fraud detection model. Start detecting fraud immediately, easily enhance models with customized business rules, and deploy results to generate critical predictions. Build, deploy, and manage fraud detection models without previous machine learning (ML) experience. Gain insights from your historical data, plus 20+ years of Amazon experience, to construct an accurate, customized fraud detection model. Start detecting fraud immediately, easily enhance models with customized business rules, and deploy results to generate critical predictions. Amazon Fraud Detector is a fully managed service enabling customers to identify potentially fraudulent activities and catch more online fraud faster. -
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Amazon SageMaker Canvas
Amazon
Amazon SageMaker Canvas expands access to machine learning (ML) by providing business analysts with a visual interface that allows them to generate accurate ML predictions on their own, without requiring any ML experience or having to write a single line of code. Visual point-and-click interface to connect, prepare, analyze, and explore data for building ML models and generating accurate predictions. Automatically build ML models to run what-if analysis and generate single or bulk predictions with a few clicks. Boost collaboration between business analysts and data scientists by sharing, reviewing, and updating ML models across tools. Import ML models from anywhere and generate predictions directly in Amazon SageMaker Canvas. With Amazon SageMaker Canvas, you can import data from disparate sources, select values you want to predict, automatically prepare and explore data, and quickly and more easily build ML models. You can then analyze models and generate accurate predictions. -
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UpLogs
UpLogs
Whether you are a general contractor, a technician, a chief engineer, a facility manager, or a manufacturing director, using the UpLogs mobile application with your crew will streamline your projects and secure your inventory. Assess the entire operation from top to bottom, looking for areas of improvement, and prioritize critical areas of focus. Reduce failure and downtime risk. Eliminate the non-value-added preventive and predictive maintenance tasks. Identify areas of inexperience and provide training. Increase in team member connectivity, and drive your workforce engagement. Make information accessible, strengthen connections, and encourage information sharing. Closely monitor outdated equipment to prevent machinery malfunctions, and schedule equipment services to mitigate their impact. Always have the parts in stock when needed. Have a clear look of the parts and equipment inventory to prevent loss and write-offs, and review the team's workload so you can adjust accordingly. -
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Jungle.ai Canopy
Jungle.ai
Increase your production and prevent unplanned downtime with our AI product Canopy. Canopy’s AI uses historical data to learn how your machines function under all operating conditions. We are deployed in various industries, helping to detect failures ahead of time, reduce machine downtime and increase performance. Continuously monitor the health of your machines. Track components with abnormal behavior and act before it’s too late. Track performance in real-time. Receive notifications of underperformance and investigate what you should do about it. Collaborate and resolve issues together, and work in one place while looking at the same data from all possible angles. Our technology doesn't require any hardware installation and is remotely deployed. Canopy allows you to explore developing issues at the sensor level. Advanced visualizations and tools show the machine state in different ways, empowering you to find out exactly what is abnormal in your machines. -
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EquipmentShare
EquipmentShare
Whether you need to rent the right tool for the job, buy the latest machine or equipment part, or streamline your operations with smart technology, get it all here. If your machine isn’t moving, then it’s not making you money. By using billions of machine diagnostic data points gathered by our T3 technology, we predict service events and their causes to help you prevent breakdowns and costly downtime. When it is time for service, our factory-trained technicians are ready to help and can often diagnose issues remotely to get your machine back up and running quickly. You can buy new and used equipment from any name-brand dealer in town, but only EquipmentShare outfits its retail machines with award-winning fleet management technology to help you maximize your utilization, plan maintenance as well as keep a digital history of your equipment to retain its value. Reserve a rental online and instantly off-rent when you’re through by using our rental mobile app.Starting Price: Free -
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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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KMR (Keep the Machine Running)
Quartz Matrix
KMR is a IoT system for maintenance management. The main role is to effectively organize the entire maintenance activity and provide control over the equipment, materials, activities and costs. KMR integrates IoT technologies (Internet of Things) focusing on automatically gathering information about equipment / machinery and other useful data for maintenance management: Operating time, Vibrations, Temperature, Level, Flow, Concentration. Planning and management of maintenance / interventions for each machine / equipment: type of maintenance / revision, assigned technician / supplier, date, alert, status, diagnosis, tasks, used materials, associated documents, costs. -
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Digital Twin Studio
CreateASoft
Data Driven Digital Twin toolset to help you Visualize, Monitor, and Optimize your operation in Real-Time using machine learning and AI. Control your Cost of SKU, Resources, Automation, Equipment and more. Real-Time Visibility and Traceability - Digital Twin Shadow Technology. Digital Twin Studio® Open Architecture enables it to interact with a multitude of RTLS and data systems – RFID, BarCode, GPS, PLC, WMS, EMR, ERP, MRP, or RTLS systems Digital Twin with AI and Machine Learning - Predictive Analytics and Dynamic Scheduling Real-time predictive analytics deliver insights via notifications when issues are identified before they occur with state of the art Digital Twin Technology Digital Twin Replay - View Past Events and Setup Active Alerts. Digital Twin Studio can replay and animate all past events through 2D, 3D and VR. Digital Twin Live Real-Time Metrics - Dynamic Dashboards - Simple drag and drop dashboard builder with unlimited layout capabilities. -
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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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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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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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Monaire
Monaire
Monaire's AI tech and world-class service specialists help save energy costs, avoid downtime, and costly repairs. Monaire serves as a personalized, tech-enabled HVAC and refrigeration maintenance concierge for restaurants, ensuring optimal system performance, saving you money, and effort, and minimizing food waste. Monaire makes HVAC and refrigeration systems management for convenience store owners a breeze, reduced energy costs, no follow-ups with repair contractors, and no unplanned outages. Monaire’s HVAC and refrigeration management for facilities optimizes occupant comfort, helps meet sustainability goals, and reduces the workload for your facility staff. Save energy, cut waste, prevent refrigerant leaks and significantly lower your carbon footprint for even bigger savings. Maximize savings with AI-powered, predictive HVAC and refrigeration management. Monaire uses state-of-the-art diagnostics to pinpoint heating, ventilation, air conditioning, and refrigeration issues. -
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Amazon EC2 Capacity Blocks for ML enable you to reserve accelerated compute instances in Amazon EC2 UltraClusters for your machine learning workloads. This service supports Amazon EC2 P5en, P5e, P5, and P4d instances, powered by NVIDIA H200, H100, and A100 Tensor Core GPUs, respectively, as well as Trn2 and Trn1 instances powered by AWS Trainium. You can reserve these instances for up to six months in cluster sizes ranging from one to 64 instances (512 GPUs or 1,024 Trainium chips), providing flexibility for various ML workloads. Reservations can be made up to eight weeks in advance. By colocating in Amazon EC2 UltraClusters, Capacity Blocks offer low-latency, high-throughput network connectivity, facilitating efficient distributed training. This setup ensures predictable access to high-performance computing resources, allowing you to plan ML development confidently, run experiments, build prototypes, and accommodate future surges in demand for ML applications.
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m19
m19
Grow your profit with Machine Learning. Performance, Control and Time-Saving on Amazon Sponsored Campaigns. Sales Growth: +25% (same ACOS). Simplicity of use: 15 hours/week saved. Insights: Per search term, ASIN, country. Trusted 3rd party: Share sensitive data with M19. Our technology is designed for Sellers, Vendors and Agencies. Sellers. Self-service platform to help your e-retail business grow. Vendors. All-in-one platform to control your brand and perf on Amazon. Agencies. Technology and support team ready to team-up with you to help your brand partners to perform on Amazon. M19 AI is language free and present on any Amazon marketplaces in the world. Through Artificial Intelligence, M19 empowers brands and sellers to stand out on Amazon. Our team of Machine learning & AdTech veterans continuously update M19 machine learning algorithms. We are constantly improving all M19 predictions models to bring more value and accuracy to our clients.Starting Price: $0/month -
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Zapium
Zapium
Zapium, formerly known as FieldCircle, is a comprehensive maintenance management platform designed to reduce downtime, automate workflows, and increase operational efficiency across asset-centric industries. It unifies CMMS, field service, and facility maintenance functions into a single system, enabling organizations to manage work orders, preventive maintenance, asset records, and technician dispatching with ease. The platform leverages AI-powered insights and IoT-based condition monitoring to help businesses anticipate failures before they occur and make data-driven maintenance decisions. Zapium also improves technician productivity through mobile tools, geo-tagged updates, approval workflows, and collaboration features that work even in low-connectivity environments. Companies using Zapium report up to 45% reduced downtime and 18–22% lower maintenance costs due to improved scheduling, automation, and real-time visibility.Starting Price: $10/user/month -
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AWS Trainium
Amazon Web Services
AWS Trainium is the second-generation Machine Learning (ML) accelerator that AWS purpose built for deep learning training of 100B+ parameter models. Each Amazon Elastic Compute Cloud (EC2) Trn1 instance deploys up to 16 AWS Trainium accelerators to deliver a high-performance, low-cost solution for deep learning (DL) training in the cloud. Although the use of deep learning is accelerating, many development teams are limited by fixed budgets, which puts a cap on the scope and frequency of training needed to improve their models and applications. Trainium-based EC2 Trn1 instances solve this challenge by delivering faster time to train while offering up to 50% cost-to-train savings over comparable Amazon EC2 instances. -
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Amazon EC2 G5 Instances
Amazon
Amazon EC2 G5 instances are the latest generation of NVIDIA GPU-based instances that can be used for a wide range of graphics-intensive and machine-learning use cases. They deliver up to 3x better performance for graphics-intensive applications and machine learning inference and up to 3.3x higher performance for machine learning training compared to Amazon EC2 G4dn instances. Customers can use G5 instances for graphics-intensive applications such as remote workstations, video rendering, and gaming to produce high-fidelity graphics in real time. With G5 instances, machine learning customers get high-performance and cost-efficient infrastructure to train and deploy larger and more sophisticated models for natural language processing, computer vision, and recommender engine use cases. G5 instances deliver up to 3x higher graphics performance and up to 40% better price performance than G4dn instances. They have more ray tracing cores than any other GPU-based EC2 instance.Starting Price: $1.006 per hour -
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SmartAC
SmartAC
SmartAC is an end-to-end HVAC monitoring and membership growth platform that connects heating and cooling systems to cloud-based analytics through wireless sensors and mobile software. It enables contractors and homeowners to move from reactive repairs to proactive system management by continuously tracking performance metrics such as temperature, airflow, filter health, and potential water leaks. SmartAC’s sensor network installs quickly without wiring and sends real-time data to the cloud, where machine learning analyzes system behavior and alerts users before failures occur. It includes a white-labeled homeowner app for scheduling, service credits, and system visibility, along with technician tools and a contractor dashboard that surfaces revenue opportunities and maintenance needs. By combining predictive maintenance, automated alerts, and customer engagement features, SmartAC helps HVAC businesses increase membership adoption, improve retention, and more.Starting Price: Free -
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Elara
Elara Digital
Elara is building software for shop floor workers, technicians, and maintenance managers. Elara offers a new approach to improving troubleshooting processes during unplanned machine downtime. Elara's mobile application makes shop floor colleagues' knowledge and experiences accessible. It enables speedy collaboration when time is scarce. Elara helps companies to manage their systems, equipment and other objects in a central software solution and to organize the associated tasks. Your tasks and projects revolve around machines, vehicles, buildings, and other business-critical objects. Elara combines task and object management, giving you a full overview of the shop floor. With Elara, you can clearly record and manage all the objects that are important for your business in one place. Whether machines, vehicles, buildings, equipment, tools or spare parts. All documentation (whether manuals, circuit diagrams, invoices or test reports) can be accessed quickly and easily in one place. -
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GageManager
ALTEGRA
GageManager is a fully-featured calibration management software from Altegra. With GageManager, service and repair facilities can ensure a fast, correct, and audit-compliant tracking and calibration of their equipment. GageManager's functionality covers inventory management, calibration scheduling, and measurement system analysis (MSA). It also comes with a dashboard-based screen design, giving users easy access to calibration status information. Our products include software for gage calibration management, at-machine job execution guidance, real-time predictive statistical process control, statistical quality control, and production decision support. Since 1999 our products have been helping manufacturing, industrial, and technical services companies increase productivity and profitability by avoiding unplanned downtime, reducing defects, and preventing equipment malfunction.Starting Price: $298 one-time payment -
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VizaLogix 360
VizaLogix
Imagine a world where you no longer have to manage service and PM schedules on multiple OEM systems or spreadsheets. A world where real-time monitoring of your customers’ equipment health proactively delivers labor opportunities to you. 360² consolidates your equipment data on a single solution, allowing you to receive timely alerts to help you maximize parts and service opportunities for your dealership. Visualize the typical scenario: a customer’s machine breaks down, leading to frustrated calls, rushed technician dispatch, a frantic search for the needed part, or the loss of an opportunity due to a lack of technician availability. Contrast this with 360²: you receive a critical alert, proactively order the part, and schedule maintenance before the machine fails. Reduced equipment downtime for your customers, a seamless service experience that builds trust and maximizes revenue for your dealership. -
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Lumiata
Lumiata
We’re ushering in a new era of groundbreaking predictive analytics beginning with healthcare data management, machine learning tools and applications custom-built for the healthcare industry. Designed with the business and delivery of healthcare data in mind, Lumiata’s superior cost and risk predictions consistently outperform legacy methods and are modernizing how risk and care are managed across the broader healthcare space. From underwriting to care management to pharmaceuticals, Lumiata has you covered. Our applications and data science tools enable a flexible and collaborative partnership with payers, providers, and digital healthcare companies. Welcome to the light at the end of your AI tunnel. Equip your data science teams with the ML productivity tools they need. It all starts with our proprietary data preparation and cleansing process in which raw data is autonomously ingested, cleansed, and organized into a consumable format ready for machine learning.Starting Price: $6,000 per month -
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InsightFinder
InsightFinder
InsightFinder Unified Intelligence Engine (UIE) platform provides human-centered AI solutions for identifying incident root causes, and predicting and preventing production incidents. Powered by patented self-tuning unsupervised machine learning, InsightFinder continuously learns from metric time series, logs, traces, and triage threads from SREs and DevOps Engineers to bubble up root causes and predict incidents from the source. Companies of all sizes have embraced the platform and seen that business-impacting incidents can be predicted hours ahead with clearly pinpointed root causes. Survey a comprehensive overview of your IT Ops ecosystem, including patterns, trends, and team activities. Also view calculations that demonstrate overall downtime savings, cost of labor savings, and number of incidents resolved.Starting Price: $2.5 per core per month -
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Amazon SageMaker Clarify
Amazon
Amazon SageMaker Clarify provides machine learning (ML) developers with purpose-built tools to gain greater insights into their ML training data and models. SageMaker Clarify detects and measures potential bias using a variety of metrics so that ML developers can address potential bias and explain model predictions. SageMaker Clarify can detect potential bias during data preparation, after model training, and in your deployed model. For instance, you can check for bias related to age in your dataset or in your trained model and receive a detailed report that quantifies different types of potential bias. SageMaker Clarify also includes feature importance scores that help you explain how your model makes predictions and produces explainability reports in bulk or real time through online explainability. You can use these reports to support customer or internal presentations or to identify potential issues with your model. -
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AWS Neuron
Amazon Web Services
It supports high-performance training on AWS Trainium-based Amazon Elastic Compute Cloud (Amazon EC2) Trn1 instances. For model deployment, it supports high-performance and low-latency inference on AWS Inferentia-based Amazon EC2 Inf1 instances and AWS Inferentia2-based Amazon EC2 Inf2 instances. With Neuron, you can use popular frameworks, such as TensorFlow and PyTorch, and optimally train and deploy machine learning (ML) models on Amazon EC2 Trn1, Inf1, and Inf2 instances with minimal code changes and without tie-in to vendor-specific solutions. AWS Neuron SDK, which supports Inferentia and Trainium accelerators, is natively integrated with PyTorch and TensorFlow. This integration ensures that you can continue using your existing workflows in these popular frameworks and get started with only a few lines of code changes. For distributed model training, the Neuron SDK supports libraries, such as Megatron-LM and PyTorch Fully Sharded Data Parallel (FSDP). -
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Quisitive ShopFloor
Quisitive
Quisitive’s ShopFloor solution allows your team instant access to critical data, offers intuitive dashboards to track projects, equipment, inventory and process flows, and decreases demand on your IT infrastructure, saving time and money and increasing resource efficiency. Increase control of production with real-time visibility on downtime. Perform artificial intelligence-based predictive analytics on their historical and current machine performance data to predict machine failures and intervene preemptively. Integrate your proprietary hardware or third-party instruments into our IoT cloud data collection tool. Predict and execute proactive service to improve customer satisfaction and resource productivity. Minimize human involvement by dispatching maintenance and repair crews only where they’re needed, when they’re needed. Automate production workflows and reduce demand on IT infrastructure.
