AssetWatch provides a deployable, remote condition monitoring solution that utilizes vibration, temperature, and oil analysis to detect machine issues before they lead to failure. By enabling proactive maintenance, the platform helps organizations reduce unplanned downtime and save significantly on repair costs.
Funding
$38M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+1Founders
Product
Problem
Industrial organizations face significant losses in production capacity and revenue due to unplanned downtime caused by machine failures. Traditional maintenance approaches often rely on reactive repairs, leading to costly disruptions and extended periods of inactivity. Detecting machine issues early, before they escalate into major failures, remains a challenge for many businesses.
Solution
AssetWatch offers an end-to-end condition monitoring solution that leverages vibration, temperature, and oil analysis to proactively detect machine issues. The platform combines AI-driven predictive maintenance with certified expert prescriptive insights to enable proactive maintenance strategies. By continuously monitoring critical assets, AssetWatch helps organizations identify and resolve problems in their infancy, minimizing downtime and reducing repair costs. The solution provides a centralized view of asset health, combining vibration, temperature, and oil analysis data within a holistic platform, along with dynamic ROI tracking and prescriptive insights from dedicated condition monitoring engineers.
Target Audience
AssetWatch primarily serves industrial organizations across various sectors, including manufacturing, energy, and processing, that seek to minimize unplanned downtime and optimize maintenance operations. Key users include maintenance engineers, reliability engineers, and facility managers responsible for asset health and uptime.
Features
- Continuous vibration and temperature monitoring via Vero® sensors
- AI-driven predictive maintenance algorithms for early detection of machine anomalies
- Holistic platform combining vibration, temperature, and oil analysis data
- Dynamic ROI tracking to demonstrate the value of proactive maintenance
- Prescriptive insights from dedicated condition monitoring engineers (CMEs)
- Cloud-based software with unlimited licenses
- Easy installation with no CapEx, engineering, or IT integration required