Alternatives to Novity
Compare Novity alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Novity in 2026. Compare features, ratings, user reviews, pricing, and more from Novity competitors and alternatives in order to make an informed decision for your business.
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1
Snapfix
Snapfix
Submitting issues is as easy as taking a photo or video of the fault with the Snapfix mobile app. Keep jobs organized by assigning work orders to the relevant person, tags and priority and share updates through instant messaging and notifications. Schedule required periodic tasks with checklists guaranteeing that inspections are carried out in a consistent and compliant manner. Or use the calendar for planned preventive maintenance ensuring uptime of valuable assets. Gain insights from the real-time dashboard on all tasks and check-in on progress and manage them to completion at the press of a button. All your data can be exported into Excel or PDF reporting when you need to show your audit trail during inspections. For planned tasks, Snapfix has a simple to use scheduler, with a calendar view, which allows you to plan and organize recurring tasks.Starting Price: $129 per location per month -
2
DC-E DigitalClone for Engineering
Sentient Science Corporation
DigitalClone® for Engineering is the world's only gearbox reliability prediction solution integrating multiple scales of analysis in a single software package. In addition to modeling and analysis capabilities at the gearbox and gear/bearing levels, DC-E is the only solution available that models fatigue life based on detailed, physics-based models of the material microstructure (US Patent 10474772B2). DC-E enables construction of a gearbox digital twin with high value across all stages of the lifecycle of the physical asset - from design and manufacturing optimization to component supplier selection to failure root cause analysis to condition-based maintenance and to prognostics. This computational environment drives down the time and cost to bring new designs to the market and to sustain them over time.Starting Price: Upon request -
3
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. -
4
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. -
5
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. -
6
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. -
7
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. -
8
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! -
9
Concentio
Scry AI
Predictive and prescriptive analysis of data received from various IoT data sources, including sensor, device, equipment or network enabling the users to take actions in real time on probable anomalies detected. Concentio® IoT Doctor can ingest data from numerous IoT data sources and alert the user of bad incoming data so that the inherent problem is fixed the data is not further used for descriptive, predictive or prescriptive analytics. Concentio® Production Line Fault Prediction performs the AI-based predictive analysis of the production line components using the IoT Data, videos, images, etc. Concentio® Optimal Asset Management analyzes the data coming in from the network of assets that provide utility services enabling the user to ensure timely maintenance of the network. Reduced capital expenditures by driving asset replacement decisions. -
10
SmartHelio
SmartHelio
SmartHelio’s Autopilot is a plug-in platform that predicts faults, boosts uptime, and drives decisions with AI-powered insight for solar plants. It acts as a single source of truth for solar stakeholders by seamlessly collecting, processing, and generating information to enhance operational and financial efficiency. Autopilot integrates with existing SCADA or CMS monitoring systems, extracts data such as equipment specifications and reports, creates a digital twin in minutes, and delivers results from day one without additional hardware. Its AI-driven algorithms analyze real-time solar plant data to detect anomalies, identify fault root causes, locate issues across the plant, and predict underperformance before it becomes costly. The Fault Dashboard predicts faults in real time, localizes component failures, quantifies losses, and recommends what to fix first. -
11
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. -
12
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. -
13
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. -
14
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. -
15
Fizix
Fizix
Fizix's Mate is a cloud-based smart machine health monitoring platform that enables users to oversee machinery through a secure, web-based interface accessible from any internet-connected device. It offers real-time anomaly detection and fault prediction by analyzing machine attributes, operational conditions, and sensor data, utilizing machine learning algorithms to enhance predictive accuracy over time. The platform's digital twin-based architecture allows for easy design and monitoring of machine systems, while providing alarm notifications and integration with external systems like ERP and CMMS for comprehensive maintenance planning. -
16
Nanoprecise
Nanoprecise
Nanoprecise has an AI+IoT solution that combines patent-pending physics and data analytics to diagnose issues with industrial machines to predict "Remaining time to failure" affordably ($100/machine) and has all the certifications. This end-to-end solution can be deployed cost-effectively and can be utilized on any machine in the world in any industry. Nanoprecise solutions strive to create 360 degree integrated systems that can predict the remaining useful life of any asset & empower users with right data across several industries. We implement cutting-edge technology to bring to our clients accurate prognostic and diagnostic solutions that can predict the remaining useful life of any asset with up to 99% accuracy. Spend your time actually doing maintenance while still increasing your visibility of potential issues that may cause unplanned downtime. -
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FaultFixers
FaultFixers
FaultFixers is maintenance software made easy. The system tracks and automates all maintenance operations with simple-to-use features including a powerful planned preventative maintenance tool, in-app notifications and messaging, custom checklists and digital forms, dynamic scheduling and team management. FaultFixers is a one-stop platform to achieve clear and simple maintenance management for your business.Starting Price: £50/month/user -
18
SymphonyAI Industrial
SymphonyAI
AI-powered smart manufacturing platform. Connect your people, assets, and processes to make your operations smarter with predictive and generative AI. Seamlessly connect people, assets, and systems in one ecosystem for reliable execution, high-speed automation, and anticipation of events. Next-generation predictive and generative intelligence are built into SymphonyAI solutions to reduce machine faults, cut downtime, decrease maintenance budgets, improve energy efficiency, and optimize plant performance. SymphonyAI’s Smart Manufacturing platform translates data into actionable insights, giving you comprehensive, real-time visibility into business and plant operations with predictive intelligence spanning from individual components to entire enterprises -
19
LexX
LexX Technologies
LexX is an intelligent assistant for maintenance technicians. This platform leverages a unique combination of the latest technologies, including Artificial Intelligence, Natural Language Processing and Machine Learning to deliver technical knowledge and advanced troubleshooting capabilities together to the fingertips of the technician. Provides a natural language interface to systems of record. Utilizes any device (phones, tablets, etc.) to provide solutions at the right time and place. Is an intelligent system that learns from asset behavior, technician behavior, organizational data, guides and instructs the technician, enabling rapid fault isolation. Providing a natural language interface to Systems of Record (ERP, Maintenance and Document Management). Intelligently learns from asset behavior and technician behavior. Utilizing any device (phones, tablets, etc.) to provide solutions at the right time and place. Guiding and instructing the technician, enabling rapid fault resolution. -
20
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 -
21
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. -
22
PlantOS
Infinite Uptime
PlantOS Prescriptive AI is an industrial intelligence platform developed by Infinite Uptime that helps manufacturing plants improve equipment reliability, operational efficiency, and energy performance through AI-driven maintenance and optimization insights. It combines advanced sensing technology, industry-specific artificial intelligence models, and human expertise to continuously monitor industrial machinery and production processes in real time. Specialized MEMS and piezoelectric sensors collect detailed operational data from critical equipment such as motors, mills, compressors, and other rotating machinery, even in harsh industrial environments with high temperatures or extremely slow rotations. This data is analyzed by prescriptive AI models trained on industry-specific failure patterns, enabling the platform to detect subtle performance signatures that precede mechanical faults or inefficiencies. -
23
AttributeStudio
geomodeling
AttributeStudio is a multi-attribute seismic interpretation and reservoir property prediction software package. A true integrated software system for seismic and well data interpretation and integration. Easy to use. The system is designed by geoscientists for geoscientists. All industrial standard data formats are supported in data I/O. Comprehensive: including both basic interpretation workflows and advanced modules to predict reservoir properties via the latest machine learning algorithms. Latest innovations. Frequent updates including the latest innovation in seismic interpretation, visualization, and machine learning. Robust. AttributeStudio is built on a solid software architecture that has been fine-tuned for 20 years. Affordable. You only need to license the modules that are required in your work. Corporate team licenses are available at a discount rate. Fault surface tracking is constrained by multiple attributes. Interactive attribute classification on 2D and 3D cross plots. -
24
Innovative Binaries
Innovative Binaries
Our aircraft structural health diagnostics and prognostics comprise the acquisition of large data sets from aircraft sensors (including several sub-systems-avionics, landing gear, engine, etc.). Data adapters will transform these data sets to a neutral format data lake. This transformation will enable almost real-time anomaly fault detection, isolation, and potential degradation alerts. Suggested actions will reduce operating costs and increase safety and reliability of the fleet. The platform captures isolated sources of data to reveal important information about the health of the engine. Our approach helps to detect anomalies by producing an early-warning detection system. The alerts increase fleet reliability. Line and hangar maintenance shops can be assured of higher parts availability, higher throughput, reduced no-fault-found (NFF) incidences, parts inventory, and maintenance costs.Starting Price: $300.00/month -
25
Geminus
Geminus
Geminus unleashes the power of predictive intelligence by intersecting AI and physics with multi-fidelity modeling. Our novel, first-principles AI translates the constraints of the physical world inside resilient predictive models. The Geminus platform leverages sparse data to quickly analyze the behavior of complex industrial systems, and precisely predict the impact of decisions that drive your business forward. The Geminus multi-fidelity approach fuses models with data, which enables you to create highly accurate surrogates over 1,000x faster than simulation. Only Geminus accurately quantifies model uncertainty, so you can be confident in your predictions and the decisions they inspire. Geminus compresses model creation time from months to hours requiring far fewer data and computes resources than traditional AI, or simulation methods. Models built on Geminus are infused with an understanding of the known behavior of real-world systems. -
26
SimulationX
ESI Group
Technical systems, like machines and manufacturing plants, are often very complex. They consist of a multitude of components and subsystems, usually based on diverse technical domains and increasingly fitted with sensors and controls. Their dynamic interactions have a significant impact on safety, performance, and comfort. With SimulationX, you have a single platform for modeling, simulating, and analyzing technical systems, including mechanics, hydraulics, pneumatics, electronics, and controls, as well as thermal, magnetic, and other physical behavior. Comprehensive component libraries with application-oriented model elements ensure you have the right tools available for your task. -
27
Trackonomy
Trackonomy
Trackonomy provides an always-on smart platform that delivers end-to-end, item-level visibility across supply chains by embedding intelligence directly into physical objects. Its technology combines intelligent micro-electronics, multi-radio connectivity, and the Sentient AI platform to turn any asset into a “smart object,” enabling real-time monitoring, alerts, and predictive insights without major infrastructure changes. It is designed to remove manual processes along the chain of custody and provide actionable data that allows organizations to measure conditions and intervene immediately when issues arise. Trackonomy’s solutions support use cases such as predictive maintenance, workflow optimization, environmental monitoring, safety, security, and asset protection across logistics and industrial environments. Its disposable smart label technologies, including SmartTape, provide parcel-level GPS, cellular, and sensor tracking indoors and outdoors. -
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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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Paradise
Geophysical Insights
Paradise uses robust, unsupervised machine learning and supervised deep learning technologies to accelerate interpretation and generate greater insights from the data. Generate attributes to extract meaningful geological information and as input into machine learning analysis. Identify attributes having the highest variance and contribution among a set of attributes in a geologic setting, Display the neural classes (topology) and their associated colors resulting from Stratigraphic Analysis that indicate the distribution of facies. Detect faults automatically with deep learning and machine learning processes. Compare machine learning classification results and other seismic attributes to traditional good logs. Generate geometric and spectral decomposition attributes on a cluster of compute nodes in a fraction of the time on a single machine. -
30
Nova SensAI
EXFO
Instantly detect and automatically predict subscriber-impacting outages and impairments, most of which currently go unnoticed. Reveals event impact, origin, and root cause to prioritize and accelerate fault resolution and proactively optimize user experience. Dynamically predicts and detects outages and impairments in mobile and fixed, physical and virtual networks. Classifies, correlates and groups abnormal events affecting network performance and user experience. Isolates fault location and diagnoses root cause to drive efficient, coordinated, prescriptive action. Ingests and interprets data from multiple source systems to collapse siloes and extract integrated insight. Optimize latency, network utilization and service delivery with end-to-end, multi-layer anomaly detection and correlated analytics. Detect and troubleshoot transient degradations and periodic issues affecting performance to offer a differentiated experience. -
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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. -
32
Alchemite
Intellegens
Alchemite provides AI-augmented physical modeling and solutions that help organizations extract actionable insights from experimental and simulation data by combining machine learning with physics-informed models to improve prediction accuracy, reduce experimental costs, and optimize product and process development. Its solutions span materials discovery and design, predictive modelling of performance and reliability, multiscale modelling that connects atomistic to macroscopic behaviour, and automation of workflow tasks such as data integration, surrogate modelling, and model validation. It supports physics-aware neural networks and hybrid modelling approaches that respect underlying scientific laws while learning from data to enable faster and more accurate simulations, reduced reliance on expensive physical testing, and improved decision-making. Intellegens’ tools are applied in areas such as battery performance prediction, chemical process optimization, etc. -
33
AnyMaint
Zorg Tech
Maintenance of machines and assets is a key component in the organization's activity that determines the quality of its products. It is customary to divide maintenance methods into three types - fracture maintenance, preventive maintenance and predictive maintenance Fracture maintenance is the repair of faults that are discovered in the factory, when equipment continues to work as long as it is in good condition. The method does not require special preparation in terms of working methods, jumping equipment and capital investments in maintenance. Current costs of this method are the highest due to the constant damage of sudden breakage faults in product quality, production schedule, handling of complex faults and replacement of equipment. Preventive maintenance is a precise definition of preventive care for the equipment and close monitoring of performance. -
34
Stratio
Stratio
Eliminate unplanned downtime and reduce maintenance costs with the only solution using AI to predict faults in key components. Give Traffic Managers tools to respond more quickly and efficiently to optimise operations and keep track of vehicles. Implement the most advanced fuel efficiency system on the market to train your drivers to spend as little fuel as possible on each service. Optimizing your truck operation to get more deliveries and reduce costs to make your business more profitable is no longer just an option. Stratio is your partner in this mission by supporting you in key areas of your business. We understand how important it is for you to optimize your bus operations by ensuring you transport your passengers without disruptions to make your business more profitable. Stratio is your partner in this mission by supporting you in key areas of your business. -
35
iMaintain
iMaintain
iMaintain is an AI-powered maintenance platform built for manufacturing environments that transforms how teams capture, share, and use operational knowledge to improve reliability and reduce downtime. It connects directly to existing systems such as CMMS, manuals, and work orders, turning fragmented data into a single, searchable intelligence layer that engineers can access in real time on the shop floor. It provides guided troubleshooting that surfaces past fixes, documentation, and known solutions, helping teams resolve faults faster and with greater accuracy. It also includes root-cause analysis tools that reduce repeat failures by shifting focus from temporary fixes to long-term solutions, supporting a transition from reactive “firefighting” to proactive maintenance strategies. Through AI-driven insights and predictive capabilities, iMaintain analyzes patterns in asset performance to anticipate issues before they cause disruptions, improving uptime and operational efficiency.Starting Price: $60.67 per month -
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EcoStruxure Foxboro DCS
Schneider Electric
EcoStruxure Foxboro DCS (an evolution of Foxboro Evo) is an innovative family of fault-tolerant, highly available control components, which consolidates critical information and elevates staff capabilities to ensure flawless, continuous plant operation. Customizable, embedded real-time accounting models measure and control the financial value of every point of the process. The Foxboro DCS family of fault-tolerant, highly available components collect, process and disseminate valuable information to every corner of the plant. With flexibility and scalability in mind, the Foxboro DCS offers multiple types of controllers and I/O options to optimize cost, space, and functionality requirements. The Foxboro DCS features state-of-the-art, multi-purpose workstations, and servers which are versatile and robust, with different options catering to different plant environments and operation requirements. -
37
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. -
38
Vepos
Vepos
Supports dealers and service providers with CRM, ERP, eCommerce, cash register, service and project management. ERP software for medium-sized companies. With our branch-neutral ERP software for trade and services, we offer you a solution "Made in Germany". We are at your side with individual and personal support. Automatic ticket creation with fault and maintenance planning, deployment feedback, deployment accounting and system management. Project management with time recording, real-time controlling including post-calculation, resource planning and billing. Process-accompanying DMS with full text search, check-in / check-out, DMS printer and simple drag & drop. Touchscreen-enabled software cash register for retail, optionally with service acceptance for, for example, workshop orders. -
39
AADvance Control System
Rockwell Automation
Whether you need SIL 1-3, fail-safe to fault-tolerant and triple modular redundant (TMR) architectures, we can support your SIS requirements. Our AADvance® fault tolerant control system is a truly distributed, scalable safety instrumented system. Our AADvance solution allows you to apply different levels of module redundancy as required by specific parts of your application. This solution enables you to specify the level of safety integrity and availability you need throughout your plant. Our AADvance courses will provide a comprehensive overview of AADvance hardware, software, and troubleshooting. We offer additional tools to help ensure your AADvance implementation and training needs are addressed when and how you need them. Understand how AADvance operates as a fail-safe controller. Understand the configuration limits of the system. Design and assemble a complete system. Select the appropriate hardware based on I/O. -
40
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. -
41
Trusted Control System
Rockwell Automation
Our Trusted® fault tolerant control system is designed to meet a wide range of safety requirements. This safety instrumented solution features a triple modular redundant (TMR) system that identifies the source of a fault. The system reacts immediately to contain system faults, helping to achieve your safety integrity requirements. The Trusted TMR design uses a majority voting process to identify the source of a fault. Random hardware failures will cause one of the three control ‘slices’ to react differently to the others. The voting system captures and reports the discrepancies. The Trusted TMR system will react immediately to contain system faults, helping to confirm it meets your safety integrity requirements. Integrates into wider control systems. Integrates into our PlantPAx® solution. Supports 24-120V DC or 120V I/O modules. High density I/O (up to 40 channels/module) Meets safety standards with partial stroke testing of critical valves. -
42
ARGUS Smart Vibration Analyzer
Signals & Systems (India) Pvt Ltd
ARGUS Tri-axial wireless vibration analyzer brings a new dimension to the world of predictive maintenance to easily diagnose the health of motors and any connected driven assets like pumps, fans, compressors, etc. It enables easy condition monitoring of rotary machines and detects faults well before equipment failure. ARGUS reduces maintenance costs and increases asset lifespan. The super-compact, IP65-rated vibration sensor provides reliable data for continuous monitoring and remote diagnostics. This portable sensor simultaneously measures vibration in three directions and is used as both a Single-axial sensor & a Tri-axial sensor. The dedicated ARGUS app allows you to view and store the RMS values of Velocity & Acceleration, Time waveform, and Velocity & Acceleration FFT spectrums on the smartphone. ARGUS can be mounted in any environment using a magnet, adhesive & stud. -
43
LotusEye
LotusEye
LotusEye is a cloud-based AI anomaly detection service that automatically learns normal behavior from uploaded numerical or sensor data in CSV format and continuously calculates anomaly scores to flag deviations that may indicate faults or unexpected activity, providing alerts and visual insights without requiring users to have expertise in machine learning. It supports both wide-format CSV files, where each row represents sensor values at a timestamp, and long-format CSV with timestamp, sensor name, and value columns, and lets users upload data via drag-and-drop or through an API for scheduled automated processing. After training an AI model with normal operation data, users can upload test data to see calculated anomaly scores and review them in dashboards with time-series graphs, threshold indicators, and filters, helping teams spot unusual patterns and investigate potential issues quickly.Starting Price: $13 per month -
44
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. -
45
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. -
46
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 -
47
g-Space
Geomage
Geomage g-Space™ is a complete structural, geological and geophysical interpretation software that allows thorough analysis of existing seismic and well data. This software allows: - Horizon and Fault picking - Geological modeling - Map creation with faults - Well-tie and dynamic update - Well correlation - Mis-tie workflow - Velocity model based on checkshots and horizons - Simultaneous time/depth picking - Static modeling - Volumetric calculation - etc, etc, etc and more…Starting Price: $1,200/year/user -
48
Oracle Cloud Maintenance
Oracle
Oracle Fusion Cloud Maintenance is a connected, smart maintenance management solution. Powered by advanced technologies, it enables predictive maintenance and helps you increase reliability and uptime while reducing overall costs. Manage the entire lifecycle of your physical assets to achieve end-to-end visibility into your maintenance operations. Automate the process of creating and updating your asset information so you always have the most up-to-date and accurate information about your assets. With an integrated solution that connects your maintenance, supply chain, and financial applications. View status quickly and take action on the go and manage work orders and exceptions effectively. Transfer the transaction details and status updates to costing for accurate costing of the maintenance work orders. -
49
Azure Quantum
Microsoft
Use state-of-the-art cloud tools and learning resources to help you build and refine quantum algorithms. Gain access to a diverse portfolio of today’s quantum hardware. Access a diverse portfolio of today’s quantum hardware to build toward the emergence of fault-tolerant quantum systems. Navigate complexity and develop new skills with world-class onboarding and education resources including Microsoft Learn, Quantum katas tutorials, industry case studies, and a university curriculum. Use the Azure Quantum resource estimator tool to estimate the number of logical and physical qubits and runtime required to execute quantum applications on future-scaled quantum computers. Determine the number of qubits needed for a quantum solution and evaluate the differences across qubit technologies. Prepare and refine quantum solutions to run on future-scaled quantum machines. -
50
Availability Workbench
Isograph
Powerful simulation software for improving asset performance. Maintenance and spares optimization, availability studies, reliability-centered maintenance, life cycle cost evaluations, and accelerated life testing all in one integrated suite. Connect directly to your SAP or MAXIMO system and analyze your data. Identify critical equipment, and automatically build failure models using Weibull analysis. Optimize your maintenance plans using simulation and reduce costs. Predict system availability and optimize your design. Simulation of multiple-product capacity with target cost penalties. Model system dependencies with RBDs or fault trees. Build in operational rules for accurate performance simulation. Determine the most effective spare holding policy. Predict life cycle costs and analyze your test data for stressed failures in the ALT module. Identify plant performance trends in the process reliability module.
