AI TOOL PROFILE

AssetWatch: Industrial Condition Monitoring and Predictive Maintenance

AssetWatch helps industrial businesses monitor the health of rotating equipment to help avoid unplanned downtime. The platform combines AI anomaly detection with analysis from certified experts.
  • Operations
  • Asset Management
  • Manufacturing companies
  • Industrial facilities
  • Maintenance and reliability managers
  • Corporate operations leaders

Pricing

A 30-day risk-free trial is available for $199, which includes professional installation of up to 200 sensors and unlimited software licenses.

At a glance

Best for
Manufacturing companies, Industrial facilities, Maintenance and reliability managers, Corporate operations leaders
Key use cases
Monitoring Critical Rotating Equipment, Managing Secondary Assets, Predictive Fluid Health Tracking, Reporting Maintenance ROI
Integrations
MaintainX, Limble
Visit AssetWatchAssetWatch software interface screenshot

How AI is used

AssetWatch is a cloud-based condition monitoring platform designed for maintenance and reliability professionals. It combines continuous vibration monitoring, route-based data collection, and oil analysis to track the health of industrial assets such as motors, gearboxes, and pumps.

The software uses machine learning to detect anomalies in equipment behavior, which are reviewed by certified Condition Monitoring Engineers (CMEs). These engineers provide prescriptive insights and specific corrective actions through the platform.

Deployment includes professional sensor installation and is designed to work without on-premise IT integration or upfront CapEx. The platform also includes a multi-facility dashboard for corporate leaders to monitor asset performance across different sites.

Buyers should confirm if their specific asset mix is compatible with the available sensor kits and whether the subscription-based model aligns with their maintenance budget.

Key Features

  • Continuous Vibration Analysis

    Monitoring of rotating assets using Vero wireless sensors to detect machine issues in real time.

  • Oil Analysis

    Fluid analysis tests for particle contamination, wear metals, and viscosity, integrated into the cloud platform.

  • AI Anomaly Detection

    Machine learning algorithms designed to identify anomalies and prioritize asset risks.

  • Prescriptive Engineering Insights

    Two-way communication with certified Condition Monitoring Engineers who provide detailed corrective actions.

  • Route-Based Monitoring

    A mobile app for capturing vibration data from less critical assets via a sensor test kit.

  • Multi-Facility Dashboard

    A high-level view for management to track asset health and ROI across multiple plants.

Use Cases

  • Monitoring Critical Rotating Equipment

    Using continuous sensors on motors, pumps, and compressors to identify potential failures before they cause downtime.

  • Managing Secondary Assets

    Using route-based vibration collection for Tier 2 and Tier 3 assets that do not require constant monitoring.

  • Predictive Fluid Health Tracking

    Performing regular oil sampling and analysis to detect internal wear and contamination in industrial gearboxes.

  • Reporting Maintenance ROI

    Using dynamic ROI tracking within the platform to document the financial impact of proactive repairs.

Integrations

  • MaintainX
  • Limble

FAQ

What does the AssetWatch trial include?

The 30-day risk-free trial costs $199 and includes professional installation of up to 200 sensors, a dedicated Condition Monitoring Engineer, and unlimited software licenses.

Does AssetWatch require an IT integration?

The platform is cloud-based and is designed to work without requiring on-premise IT integration or engineering CapEx.

Who analyzes the data in AssetWatch?

Data is processed by AI for anomaly detection and then reviewed by certified Condition Monitoring Engineers (CMEs) who provide prescriptive insights.

Source category: Operations

Source subcategory: Asset Management

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