Real-time maintenance with IoT sensors
Boost reliability and reduce downtime with predictive maintenance solutions powered by IoT connectivity and real-time analytics.
Avoid setbacks with a proactive, preventive maintenance strategy and move fast when emergencies do happen.
Streamline your maintenance program with maintenance scheduling and automation.
Integrate IoT sensors and EAM/ERP systems for a complete view of your data and asset performance.
Modular IoT predictive maintenance
Seamlessly connect IoT devices for real-time insights and unlock advanced analytics with modular, user-friendly dashboards that simplify maintenance management.
Plug-and-play condition monitoring sensor setup
Instant notifications when sensor levels reach trigger thresholds
Automatic logging of monitoring data for each piece of equipment
Real-time actionable insights with predictive analytics
Leverage maintenance analytics to gain visibility into asset condition and lifecycle through automated reporting that predicts equipment failures before they occur.
Access real-time actionable data on asset condition and failure modes
Perform root cause analysis to prevent future failures and downtime
Save time with customizable workflows and automated updates
Harness predictive data for maintenance operations
Elevate your preventive maintenance strategy with machine data that drives continuous improvement and streamlines maintenance processes.
Identify optimal routine maintenance windows using usage and productivity data
Align with lean production principles through data-backed PM schedules
Automate the triggering of maintenance tasks for seamless workflows
Proven results, measurable impact
Ready to learn more about Limble?
FAQs
Limble doesn't sell sensors, and you're not locked into one hardware brand. Limble has a direct partnership with Monnit for condition-monitoring sensors, and also integrates natively with Augury, AssetWatch, VibeCloud, and AVEVA for machine health and industrial data. Beyond named partners, Limble has an open API that can pull in data from most modern IoT devices, so you can use hardware you already own or shop for sensors independently.
Limble lets you set trigger thresholds on incoming sensor data and sends instant notifications the moment a reading crosses that threshold. From there, Limble can automatically trigger a maintenance task or work order tied to the affected asset, so the team is notified, and work gets queued without someone needing to watch a dashboard. Every sensor reading is also logged automatically against the equipment it came from, building a running condition history over time.
No. Limble's predictive maintenance runs on threshold-based alerts, not a model you have to build or train. You just set the vibration, temperature, or pressure levels that matter for an asset, and Limble notifies your team the moment a sensor crosses that line. For deeper predictive analytics, our partners like Augury, VibeCloud, and AssetWatch handle the modeling using their own data science, and their insights flow straight into Limble as work orders. Either way, you can start getting value from day one, on new sensors, without an in-house data science team or years of historical data.
Yes, both run together in Limble by design. Predictive maintenance is built as a layer on top of preventive maintenance, not a replacement for it. Sensor and usage data feed into and refine your preventive maintenance schedules, helping you identify the right maintenance windows and adjust PM frequency based on real equipment condition. In practice, that means a routine, time-based PM handles predictable wear items, while condition-based triggers step in for equipment where failure risk depends more on usage or real-time health than a schedule.
Predictive maintenance is quoted based on your setup. We don't sell sensors, so cost varies by the brand and type you pick. Your Limble plan covers the software side, including sensor integration and automated work order triggers. Visit our pricing page or contact us for a quote tailored to your assets and setup.
Yes. Limble has a technology partnership with AVEVA that connects AVEVA PI and AVEVA Connect data (the kind of real-time operational and SCADA-adjacent data those systems manage) directly into actionable work orders in Limble. On the ERP side, Limble integrates with SAP S/4HANA, Oracle NetSuite, Microsoft Dynamics 365 Business Central, and QuickBooks Online, so maintenance costs and asset data can flow into your financial systems. Together, this means predictive/condition data isn't siloed in Limble, and it can connect back out to both your industrial operations stack and your business systems.