About AssetWatch
AssetWatch, founded in 2015, is a pioneering company specialized in condition monitoring and predictive maintenance solutions aimed at eliminating unplanned downtime and optimizing manufacturing operations. Their cloud-based platform provides continuous remote monitoring across a broad range of conditions and components, delivering a holistic view of an asset’s health. This enables early detection of machine issues weeks or months ahead of failure, shifting maintenance from reactive to proactive strategies.
The company focuses on resolving detected issues in the most cost-effective way, reducing machine repair costs and eliminating unplanned downtime. AssetWatch combines human expertise with advanced technology to guide customers through the steps from detection to resolution, fostering a culture of proactive maintenance. Their platform includes tools, dashboards, and integrations designed to amplify the impact of maintenance improvements across an organization, including supply chain planning and shareholder reporting.
AssetWatch’s solution is designed to be hassle-free with no capital expenditures, IT integration, or engineering required, supporting seamless professional installation of sensors and 24/7 monitoring. Their customers typically enjoy an average 8x return on investment, backed by dedicated customer maintenance engineers.
The company culture emphasizes collaboration, diversity, accountability, and continuous learning to adapt and improve in an ever-changing industrial landscape. AssetWatch’s leadership and team are committed to providing outstanding customer experiences and pioneering innovation in predictive maintenance.
Financially, AssetWatch has secured significant funding, including a $38 million Series B round in 2024 and a $75 million Series C round in 2025, led by prominent investment firms. This funding supports the company’s innovation, scaling efforts, and expansion globally.
Overall, AssetWatch delivers a comprehensive, AI-powered end-to-end solution for predictive and prescriptive asset condition monitoring, transforming maintenance processes to maximize uptime and manufacturing efficiency.
