Vx Observe: Energy Management & IoT Remote Monitoring

Keeping facilities and assets operating at full capacity is critical to meeting your company’s performance objectives. Improve equipment performance and streamline maintenance with Vx Observe.

Get Predictive Insights from Equipment Data with Vx Observe

Monitor your mission-critical equipment, all in one consolidated system.

Eliminate equipment downtime - Main

Eliminate equipment downtime

Stamp out unplanned downtime. With vx Observe IoT-enabled monitoring, you pinpoint the moment an asset begins to fail – so you can catch and fix failures before they happen.

Eliminate equipment downtime - Main

Gain deep visibility into energy usage

What locations use the most energy? Which equipment consumes significant energy? Vx Observe helps identify and correct high energy use – before the bill arrives.

Gain deep visibility into energy usage - Main

Streamline equipment maintenance

Vx Observe IoT remote monitoring software lets you filter out nuisance alarms, monitor performance patterns, detect anomalies, and predict critical failures before they occur.

Streamline equipment maintenance - Main

Reduce maintenance budgets

Replace equipment only when needed rather than at arbitrary, predetermined times. By avoiding unnecessary service, you decrease your repair and maintenance spend.

Reduce maintenance budgets - Main

Lower greenhouse gas emissions

Accruent vx Observe offers the ability to provide set point changes at an enterprise level, delivering energy savings and helping organizations reduce their greenhouse gases emissions.

Lower greenhouse gas emissions - Main

Vx Observe Energy Management for Extended Equipment Life

Prolong asset and equipment life with IoT remote monitoring, alarm filtering and predictive maintenance.

Actively track energy spend - Main

Actively track energy spend

Vx Observe IoT remote monitoring software gathers energy-related information into a single platform to help you make informed, data-backed decisions. Analyze utility bill and meter data to uncover hidden discrepancies and determine whether bills should be paid or escalated.

Understand data in context - Main

Understand data in context

Eliminate noise and irrelevant benchmarks. With Vx Observe, you can utilize site attributes to read your data in context and make direct comparisons between like sites. Create and optimize baselines using historic meter data to better identify anomalies and overuse.

Get real-time insights - Main

Get real-time insights

Take corrective action faster with up-to-date data. Instead of waiting for your utility at the end of the month, identify anomalies in close to real time. Collect all sources of data from utility bills to meter, asset and weather data for one clear view of energy usage patterns.

What makes vx Observe stand out?

Vx Observe has been at the forefront of groundbreaking innovation in the field of remote monitoring.

CMMS integrations

Our platform seamlessly integrates with your CMMS to improve problem reporting, generate automated notifications and automatically open work orders.

Mobile-optimized dashboards

All insights are provided on a single dashboard based on all utility use. Generate dashboard alerts, allowing immediate action on consumption issues.

Comprehensive automations

Vx Observe’s automations integrate bills, energy meters and high energy consuming assets, utilizing sources such as maintenance history and weather data.

Alarm filtering

Requiring managers to guess which alarms are critical is risky. Vx Observe analyzes alarms in context and initiates action on only those that require maintenance.

Predictive maintenance tools

You can initiate actions when failure risk meets a specified threshold, enabling asset owners to update and improve rule parameters without expensive consultants.

Customized workflows

Vx observe can integrate with nearly all work order management systems. Generate automated notifications to site managers or automatically open CMMS work tickets.

IoT-Enabled Energy Management Software Resources

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