Tech Isn’t Enough: Building a Culture of Reliability
The most successful predictive maintenance (PdM) programs aren’t built on just impressive technology. They’re built on responsive teams who can respond quickly and consistently when alerts surface. See how high-performing teams build a culture where alerts drive action, ownership is clear, and predictive insight translates into measurable results.
Get Up And Running Fast
Ongoing CAT III & IV CME Verification and Support
A dedicated vibration analyst will validate your data and alert your team to urgent maintenance needs.
Remote Condition Monitoring in Real Time
We’ll install Vero® smart sensors and use predictive analytics to detect and flag equipment issues early.
Predict & Prevent Unplanned Downtime
Transform your plant with lower costs, less stress, steady output, and healthier, more reliable equipment.
We Are AssetWatch
We're on a mission to help manufacturers successfully transition from reactive to predictive maintenance so they can avoid the costs, burdens, and stress associated with unplanned downtime.
Our friendly, dedicated experts are here to make things easy, providing the leading-edge technology, insights, and ongoing support you need to ensure equipment reliability and maintain peak performance and output.
Welcome to the AssetWatch Family!
Minimal Effort, Maximum Savings.
© Copyright AssetWatch 2026. All Rights Reserved.
Safeguard Your Assets and Your Production Line
AssetWatch Is Now on AWS Marketplace
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Schedule your demo
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Start your 30-day trial for $199
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Eliminate unplanned downtime
Discover how condition monitoring can enhance equipment health, performance, and lifespan.
Join us to learn how leading teams:
- Define ownership so alerts don’t stall after detection
- Create structured response paths that scale beyond the pilot
- Integrate predictive insights into daily maintenance workflows
- Build internal champions who drive adoption across the plant
- Turn predictive insights into measurable uptime and cost avoidance
Whether you lead reliability, plant, or maintenance teams, or support operations at the corporate level, you’ll walk away with a practical blueprint for a PdM program that delivers sustained reliability performance.
Join The Live Webinar
Live on April 8th, 2026 at 2 PM ET / 11 AM PT
Leveraging Artificial Intelligence and Machine Learning to Enhance Reliability and Maintenance Programs
Predict Equipment Failures to Reduce Unplanned Downtime
Explore our asset saves showing how minimal efforts can achieve maximum rewards.
How to Uncover Hidden Failure Risks on Your Production Line
Speakers
2PM ET / 11AM PT
SPEAKING TIME
DATE
April 8th, 2026
Online
LOCATION
Josh Pinnau brings over five years of experience partnering directly with maintenance teams in SaaS-focused roles, along with more than eight years in customer-facing technology and software sales. He combines operational expertise with advanced analytics to improve reliability performance and translate condition monitoring insights into actionable maintenance strategies. Known for his direct, trust-based communication style, Josh fosters cross-functional collaboration that turns predictive technology into measurable business impact.
Josh Pinnau
Customer Success Manager Team Lead | AssetWatch
Benjamin Keel brings more than 20 years of experience in industrial maintenance and reliability. Over his career, he advanced from Master Maintenance Technician to Predictive Maintenance Technician to Reliability Specialist, building deep hands-on expertise across asset health and performance. An ISO Category III Vibration Analyst and Level II Infrared Thermographer, Benjamin also holds certifications in magnetic particle testing, airborne ultrasound, and motion amplification. At AssetWatch, Benjamin applies that technical depth to lead predictive maintenance initiatives using vibration, thermography, ultrasound, oil analysis, and motor current testing, with a focus on structured reliability processes and measurable performance improvement.
Benjamin Keel
Condition Monitoring Application Engineer | AssetWatch
Cindy Barnett has a diverse background in design engineering, energy generation and renewables, foundry maintenance, and maintenance planning. She holds an AS in Mechanical Engineering and a BS in Human Resource Development (Industrial Training) from the University of Tennessee (Go Vols).
With roots in a family-run foundry business, Cindy is passionate about combining traditional maintenance practices with modern technology to improve reliability and performance. She is dedicated to continuous learning and building strong, high-performing teams. Outside of work, she enjoys time with her two grandsons, being outdoors, shopping, and caring for her two Italian Mastiffs.
Cindy Barnett
Preventative Maintenance Reliability Supervisor | Tyler Union