Lumada IIoT vs. Verizon Condition Based Maintenance Comparison


Lumada IIoT Hitachi	Verizon Condition Based Maintenance Verizon	+	+
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		Related Products 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 135 Ratings Visit Website The Asset Guardian EAM (TAG) 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. 22 Ratings Visit Website Epicor Connected Process Control Epicor Connected Process Control (CPC), formerly eFlex Systems, provides manufacturers a flexible, no-code/low-code MES solution. No programming or special skills required. Digital work instructions, with multi-media capabilities, along with the ability to integrate virtually any device with communication capabilities, provides 100% historical record of the product and the process. Providing data insight, from production reports, to part history, quality summary and more — address issues quickly, minimize waste and disruptions. Whether you start small in subassembly areas, an entire line, or apply enterprise wide - we work with manufacturers of all sizes and needs. Hosted on prem or in the cloud, you decide what's best for your operations. 4 Ratings Visit Website Shoplogix Smart Factory Platform Shoplogix is a smart, scalable platform trusted by manufacturers worldwide for over 20 years. It transforms real-time machine and production data into actionable insights, helping teams uncover hidden losses and drive rapid ROI. Features include intuitive visual dashboards, integrated analytics, and real-time alerts for fast, informed decisions. Shoplogix connects to any machine type, tracking downtime, scrap, throughput, and setup stages. Operators and managers can quickly spot issues, launch action plans, and improve efficiency on the fly. With built-in continuous improvement tools and seamless scaling from one line to multi-plant operations, Shoplogix empowers your team to eliminate bottlenecks, boost OEE, and achieve lasting operational excellence. 19 Ratings Visit Website Evocon Trusted by manufacturers worldwide, Evocon is a simple and easy-to-use OEE software that helps manufacturing companies improve their production efficiency and reduce waste. The system enables automated data collection, real-time data visualization, downtime tracking, bottleneck identification, and performance monitoring. With Evocon, you get all the tools you need to improve OEE and understand what is actually going on in your production processes. 93 Ratings Visit Website MaintainX MaintainX is the world-leading mobile-first workflow management platform for industrial and frontline workers. We are a modern IoT-enabled cloud-based tool for maintenance, safety, and operations on equipment and facilities. MaintainX helps businesses track reactive and preventive maintenance, and control daily operations, such as safety inspections, quality inspections, and operating checklists—all with a digital audit trail. Here's what we digitize and take away from the clipboard: - Safety Procedures - Environmental Checklists - Tooling & Gauge Reporting - Maintenance Procedures - Auditing/Inspection Workflows - Training Checklists We allow plant managers to become more efficient operators by delivering real-time business insights from the field. MaintainX is designed to work with organizations of all sizes - whether you're running a small team of 2 or coordinating a massive team of thousands of folks around multiple locations. 2,381 Ratings Visit Website HiveMQ HiveMQ is the Industrial AI Platform helping enterprises move from connected devices to intelligent operations. Built on the MQTT standard and a distributed edge-to-cloud architecture, HiveMQ connects and governs industrial data in real time, enabling organizations to act with intelligence. With proven reliability, scalability, and interoperability, HiveMQ provides the foundation industrial companies need to operationalize AI, powering the next generation of intelligent industry. Global leaders including Audi, BMW, Eli Lilly, Liberty Global, Mercedes-Benz, and Siemens trust HiveMQ to run their most mission-critical operations. 66 Ratings Visit Website dbt dbt helps data teams transform raw data into trusted, analysis-ready datasets faster. With dbt, data analysts and data engineers can collaborate on version-controlled SQL models, enforce testing and documentation standards, lean on detailed metadata to troubleshoot and optimize pipelines, and deploy transformations reliably at scale. Built on modern software engineering best practices, dbt brings transparency and governance to every step of the data transformation workflow. Thousands of companies, from startups to Fortune 500 enterprises, rely on dbt to improve data quality and trust as well as drive efficiencies and reduce costs as they deliver AI-ready data across their organization. Whether you’re scaling data operations or just getting started, dbt empowers your team to move from raw data to actionable analytics with confidence. 227 Ratings Visit Website DataBuck DataBuck is an AI-powered data validation platform that automates risk detection across dynamic, high-volume, and evolving data environments. DataBuck empowers your teams to: ✅ Enhance trust in analytics and reports, ensuring they are built on accurate and reliable data. ✅ Reduce maintenance costs by minimizing manual intervention. ✅ Scale operations 10x faster compared to traditional tools, enabling seamless adaptability in ever-changing data ecosystems. By proactively addressing system risks and improving data accuracy, DataBuck ensures your decision-making is driven by dependable insights. Proudly recognized in Gartner’s 2024 Market Guide for #DataObservability, DataBuck goes beyond traditional observability practices with its AI/ML innovations to deliver autonomous Data Trustability—empowering you to lead with confidence in today’s data-driven world. 6 Ratings Visit Website OfficeSpace Software OfficeSpace is the #1 AI Operating System for the Built World, helping organizations manage and optimize physical workplaces. The platform unifies space planning, desk and room booking, wayfinding, visitor management, asset tracking, maintenance workflows, and workplace analytics in one system. AI-enabled workflows and real-time insights give teams visibility into how spaces are used across locations. Facilities, IT, HR, and Real Estate teams rely on the platform to support hybrid work, improve space utilization, streamline operations, and enhance workplace experiences. Recognized by Gartner as a key provider in the Workplace Experience Applications market, OfficeSpace is trusted by global enterprises to support flexible and in-office work and make informed decisions about the built environment. 173 Ratings Visit Website
About Embed sensors for IoT use cases and enrich sensor data with control system and environment data. Integrate this in real time with enterprise data and deploy predictive algorithms to discover new insights and harvest your data for meaningful use. Use analytics to predict maintenance problems, understand asset utilization, reduce defects and optimize processes. Harness the power of connected devices to deliver remote monitoring and diagnostics services. Employ IoT Analytics to predict safety hazards and comply with regulations to reduce worksite accidents. Lumada Data Integration: Rapidly build and deploy data pipelines at scale. Integrate data from lakes, warehouses and devices, and orchestrate data flows across all environments. By building ecosystems with customers and business partners in various business areas, we can accelerate digital innovation to create new value for a new society.	About Remotely monitor your equipment with an edge gateway device to help reduce the risk of downtime or failure. Keep machinery moving with proactive maintenance. It just got a lot easier for original equipment manufacturers (OEMs) to act proactively, rather than reactively, when it comes to equipment repairs. Condition Based Maintenance with Edge Management and Monitoring delivers critical visibility into any equipment with an edge gateway device. That means you can now proactively monitor any edge gateway device—including consumer products, healthcare equipment, security cameras, digital signage, robotics, manufacturing tools and more—with a reliable, secure, remote management solution. You’ll save time and money, while extending the life of your equipment and building customer loyalty with this edge monitoring solution. Condition Based Maintenance is an IoT platform-as-a-service that uses streaming data from sensors to help you monitor assets in near real-time.
Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook	Platforms Supported Windows Mac Linux Cloud On-Premises iPhone iPad Android Chromebook
Audience Companies interested in a powerful IoT analytics and data integration platform	Audience Equipment manufacturers in need of a condition based maintenance solution to remotely monitor their equipment and reduce the risk of downtime or failure
Support Phone Support 24/7 Live Support Online	Support Phone Support 24/7 Live Support Online
API Offers API	API Offers API
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Free Trial	Pricing No information available. Free Version Free Trial
Reviews/Ratings Overall 4.0 / 5 ease 5.0 / 5 features 4.0 / 5 design 4.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
Training Documentation Webinars Live Online In Person	Training Documentation Webinars Live Online In Person
Company Information Hitachi Japan www.hitachi.com/products/it/lumada/global/en/about/index.html	Company Information Verizon Founded: 1983 United States www.verizon.com/business/products/internet-of-things/connected-assets/condition-based-maintenance/
Alternatives Litmus Edge Litmus	Alternatives SeeMyMachines QBurst
MindSphere Siemens	CORVINA
TRACTIAN Tractian	Sense IoT
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Categories Asset Performance Management Data Pipeline EAM Field Service Management Industrial IoT Integration IoT IoT Analytics Manufacturing Analytics Manufacturing Intelligence Tradesman Job Management	Categories Industrial IoT
Show More Features IoT Features Application Development Big Data Analytics Configuration Management Connectivity Management Data Collection Data Management Device Management Performance Management Prototyping Visualization
Integrations Hitachi Visualization Suite View All 1 Integration	Integrations Hitachi Visualization Suite
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