AI-Powered Predictive Maintenance Software
Predictive maintenance software that turns IoT signals into action
TAG Mobi predictive maintenance software helps maintenance, operations, and reliability teams move from reactive repairs to earlier, data-driven maintenance action. By connecting asset signals from IoT sensors, SCADA systems, and industrial controls to maintenance workflows, TAG Mobi helps teams identify risk earlier, reduce alert noise, and turn the right signals into automated actions. The result is a closed-loop process from condition monitoring to executed maintenance, with clearer visibility into asset performance, response time, and cost.
More than 99% of sensor data can go unused
before it reaches operational decision-makers.
Source: McKinsey
Signals to work orders
Turn critical asset signals into accountable maintenance action.
Create work orders or requests from asset signals
Apply the right template based on the asset or issue type
Route work to the right owner or team
Trigger notifications when action is required
Reduce missed issues and delayed response
Fast onboarding & device-to-asset mapping
Connect devices and map signals to your asset hierarchy.
Connect IoT sensors, SCADA data, and equipment signals
Map devices and signals to the right assets
Structure incoming data so it can support maintenance decisions
Shorten the path from pilot to proof
Reduce setup friction across IT, OT, and maintenance teams
Alert flood control
Reduce alarm fatigue and focus teams on the right issues.
Suppress duplicate or low-value alerts
Escalate critical conditions to the right people
Reduce unnecessary work orders from noisy signals
Help teams focus on issues that affect uptime
Improve confidence in IoT and predictive maintenance alerts
Configurable predictive & anomaly detection
Detect abnormal asset behavior before it becomes downtime.
Configure rules, thresholds, and anomaly detection logic
Identify changes in asset behavior earlier
Flag emerging failure risks before they escalate
Support planned maintenance instead of emergency repairs
Reduce manual monitoring across connected assets
Multi-site governance and dashboards
Scale predictive maintenance across sites with shared visibility.
Standardize rules and workflows across sites
Compare asset signals, alerts, and actions by location
Track predictive maintenance activity across facilities
Give leaders visibility into what is being acted on
Scale successful pilots into repeatable programs
Connect IoT signals to predictive maintenance workflows with TAG Mobi
TAG Mobi helps you turn sensor, SCADA, and equipment data into earlier maintenance action.
Monitor asset conditions using IoT, SCADA, and industrial control data
Detect abnormal behavior before it becomes downtime
Trigger work orders when asset signals require action
Reduce alert noise with escalation and suppression rules
Connect predictive maintenance activity to asset history, labor, parts, and cost
As featured in
Unlock AI built for maintenance
Reduce admin, increase wrench time
Let AI handle data entry, forms, and reports so your team spends more time fixing and less time typing.
Scale expertise at a lower cost
Capture and share expert knowledge with AI-guided insights and contextual recommendations.
Streamline complex workflows
Automate scheduling, preventive maintenance planning, and auditing with reliable, purpose-driven AI agents.
With The Asset Guardian (TAG), our downtime has dropped more than 38% compared with prior to implementing CMMS, which adds to the return on investment or the revenue that we're making.
–Balan Vasant Kumar, Maintenance Lead at Amin Renewables
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![TAG mobiMentor AI on a laptop with button and loading screen creating 4 work orders.]()
Unlock AI Built for Maintenance
mobiMentor AI is an agentic ecosystem purpose-built for maintenance and asset management, helping experts maximize wrench time and streamline workflows.
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Tackle Downtime with TAG Mobi
TAG Mobi EAM is the AI-powered, mobile asset management solution (EAM) designed to prevent downtime, maximize asset performance, and accelerate onboarding.
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Unify your ERP-EAM data
The Asset Guardian (TAG) is embedded in Microsoft Dynamics 365 Business Central, providing a robust maintenance add-on for your enterprise.
Cut the Backlog: Automate Notifications And Work Order Routing
Cut through growing maintenance backlogs with smarter automation. In this training session, you’ll see how TAG Mobi and mobiMentor AI I streamline alerts, approvals, and work order routing so notifications don’t get lost, approvals move faster, and teams can repond more quickly from issue to resolution.
Built for your company’s specific needs
Manufacturing industry
Minimize downtime, optimize inventory, and streamline maintenance to reduce costs and maximize productivity, all while ensuring consistent product quality.
Facility management
Easily control multi-site operations with IoT technology and multi-language features, enabling real-time monitoring and strict safety protocols across global locations.
Renewable energy
Optimize renewable energy assets with real-time insights for solar, wind, and storage. Use IoT-driven analytics for root-cause analysis to boost efficiency and extend asset lifespan.
Creating an Effective Preventive Maintenance Plan: What You Need to Know
Learn how to build a preventive maintenance plan and reduce equipment failure using EAM software.
What is Asset Performance Management (APM)?
Learn how Asset Performance Management (APM) boosts equipment performance, cuts downtime, and supports smarter maintenance decisions.
Find a Trusted Partner near you
From affiliates to implementors, our partners help businesses optimize operations, cut downtime, and boost performance. Explore our network to leverage their expertise and drive growth.
Ready to turn IoT signals into automated actions?
Please describe your project and the product you are interested in.
Frequently Asked Questions
What is predictive maintenance software?
Predictive maintenance software helps maintenance teams use asset data, sensor readings, and equipment conditions to detect issues earlier and plan maintenance before failures occur. Instead of waiting for breakdowns or relying only on fixed schedules, teams can use data to decide when an asset needs attention.
How does IoT support predictive maintenance?
IoT supports predictive maintenance by collecting condition data from connected equipment, sensors, SCADA systems, and industrial controls. This data can help identify abnormal behavior, trigger alerts, and support earlier maintenance action before downtime occurs.
Can TAG Mobi turn sensor data into work orders?
Yes. TAG Mobi IoT can help turn asset signals into work orders, requests, notifications, and maintenance workflows when predefined rules, thresholds, or anomalies indicate that action is needed.
How does alert flood control help maintenance teams?
Alert flood control helps reduce alarm fatigue by suppressing duplicate or low-value alerts and escalating critical conditions to the right people. This helps teams focus on the asset signals that require action instead of getting buried in unnecessary notifications.
Is TAG Mobi predictive maintenance software only for one site?
No. TAG Mobi IoT supports multi-site governance and dashboards, helping teams standardize predictive maintenance workflows, compare activity across locations, and scale successful pilots into repeatable programs.
What is the difference between condition monitoring and predictive maintenance?
Condition monitoring tracks asset health indicators such as temperature, pressure, vibration, or operating patterns. Predictive maintenance uses that condition data to identify potential issues earlier and support maintenance decisions before equipment failure happens.
More asset management insights
The Asset Guardian (TAG) EAM is trusted by companies worldwide
