Manufacturing facilities face common challenges including stressed equipment, unplanned downtime, and strained personnel.

AssetWatch solves these challenges with an end-to-end condition monitoring solution that provides a comprehensive view of asset health. We bundle wireless sensors, communication network, cutting-edge software, and dedicated CAT III+ experts, all for one low monthly subscription.

The AssetWatch team makes onboarding a breeze with a 1-2 day installation of the hardware and communication network. No capex investment, no IT involvement, no need to use your wifi.

AssetWatch combines vibration, temperature, and oil analysis in one platform for a holistic asset health view, detecting issues that a single technique might miss. Advanced AI and certified condition monitoring engineers prioritize asset risks and offer prescriptive insights so your maintenance team can prioritize the most critical problems first. 

The results for you: less downtime, lower maintenance costs, and a safer, more sustainable operation.

Assetwatch

**How to Address Data Overload by Pairing Human Expertise with AI**

From vibration trends to oil analysis results and temperature readings, industrial maintenance teams are drowning in data. These pieces of information are critical for keeping industrial equipment running, but without the right tools and expertise to interpret that data, vital insights get buried.

A collaborative approach to predictive maintenance can help. By combining AI-driven analysis with human expertise, you can prioritize maintenance activities more effectively, reduce the risk of equipment failure, and extend asset lifecycles.

Join us on July 22nd at 1 PM ET / 10 AM PT to learn how to cut through the noise and unleash the power of your asset data.

**In the session, we’ll explore how you can:**

*   Rapidly surface failure patterns and early warnings with AI
*   Validate and prioritize what matters by applying human insight
*   Extend equipment life and boost reliability with confidence
*   Stay at the forefront of industry advancements

An AI-driven approach isn’t about replacing your team–it’s about empowering them.


Chaos-Free Condition Monitoring

What if your maintenance KPIs could do more than track performance—they could drive it? In this webinar, *Maintenance KPIs that Matter*, we’ll go beyond the usual suspects like OEE, MTBF, and uptime. You’ll learn how to identify and act on the metrics that truly move the needle—from first-time fix rate to mean time to resolution—and how predictive maintenance can transform them from rearview indicators into forward-looking insights.

Join AssetWatch Condition Monitoring Engineer Manager Dustin Moore to explore how maintenance teams can directly influence cost reduction, production capacity, and strategic decision-making. You’ll see real-world examples, learn how AI and predictive technologies close the gap between maintenance and business goals, and walk away ready to elevate your maintenance strategy from reactive to results-driven.


Maintenance KPIs that Matter: Aligning Predictive Maintenance with Business Goals

**Meet the Minds Behind the Monitoring: A Conversation with Our Condition Monitoring Engineers** 

Behind every vibration reading and temperature spike alert is a team of real people working to keep equipment running. At AssetWatch, our Condition Monitoring Engineers (CMEs) are the experts interpreting machine health data and helping manufacturers stay ahead of costly downtime. 

Whether you already work with a dedicated CME or you’re just curious how AssetWatch helps protect critical equipment, this is your chance to meet the team behind the alerts. Join us for a fun, virtual, fireside-chat-style conversation with a few of our CMEs as they share real stories from the field, how they spot potential issues before they cause unplanned downtime, and how human expertise and AI work together to keep operations running smoothly. It’s a candid, behind-the-scenes look at the people helping manufacturers maximize uptime with a live Q\&A.  

Join us on August 14th at 2 PM ET / 11 AM PT for:  

*   A behind-the-scenes look at the AssetWatch Condition Monitoring team 
*   Real-world examples of issues caught and downtime avoided 
*   Insights into how predictive maintenance works at AssetWatch 
*   Live Q\&A — ask our CMEs your burning questions 

Don’t miss this opportunity to hear directly from the experts keeping plants like yours running at their best. 
