AssetWatch is a leader in proactive and predictive maintenance solutions, providing a rapidly deployable, end-to-end remote condition monitoring service. We help eliminate unplanned downtime for global manufacturers and simplify the predictive maintenance process by providing a network of wireless sensors and communication hubs, cutting-edgesoftware, and condition monitoring engineers who condense and decipher the noise of data – making it more qualitative than just quantitative with expert prescriptive recommendations. By combining predictive analytics via machine learning in the software with the prescriptive insights of a certified expert, AssetWatch gives you way more than just the standard "pass/fail". We truly are a partner in the journey, helping change the culture of maintenance and reliability teams from reactive to proactive.

AI/ML

Analytics

Automation

Data

AssetWatch

Brian Graham

Victoria Englund

Shawn Nichols

Patrick Carmitchel

John Schoger

Riley Gilson

Stephanie Schaffer

Jaidev Krishnan

Matt Longhouse

Brian Ratliff

Bill Ruff

The Engineering team at AssetWatch drives the development and enhancement of advanced monitoring solutions through innovative software and hardware integration. This multidisciplinary team, comprising software and mechanical engineers, machine learning experts, and DevOps specialists, collaborates to design cutting-edge systems that harness predictive analytics and real-time data processing. By ensuring seamless functionality and reliability of wireless sensors and communication hubs, the Engineering team plays a crucial role in transforming maintenance practices from reactive to proactive, ultimately enhancing operational efficiency for global manufacturers.

Engineering

Leadership Team

Sales and Business Development

Engineering

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Leadership Team

Sales and Business Development