Comcast’s MachineQ Launches Asset Utilization Solution for Enterprises

Comcast’s MachineQ announced the launch of an asset utilization solution, extending further value to customers and complementing its existing solution portfolio, which includes indoor asset tracking and facility wellness.

The new solution should allow life sciences companies to interface with their lab assets and gauge how often they are being used based on a unique pairing of IoT devices and data analysis. The value derived from this solution means that functional leaders can make data-backed decisions for better control over capital costs, help lab managers identify ways to support sustainability initiatives like powering down energy-intensive assets when not in use, enable operations leaders to enhance calibration and maintenance schedules for optimal performance, and inform facilities teams with space planning details leveraging over or underutilized equipment data to help drive efficient layout and design of labs and campuses.

“Unlocking the full potential of assets in a research-intensive landscape like labs and facilities helps accelerate R&D for our customers,” said Steve Corbesero, Jr., Director of Product and Solutions, MachineQ. “The growing imperative to gather additional intel about assets for better management and efficient use is clear. We’ve developed this solution to provide further context and help layer on information to real-time location data being delivered already. While we’re beginning with an offering of analysis-rich data derived from our occupancy and vibration sensors to help determine asset usage, we are actively incorporating additional sensors to broaden the range of supported asset types. And like we do with all our solutions, look to leverage the same IoT network infrastructure for an economical offering to our customers.”

The solution allows lab managers, operations teams, facility planners, and functional leaders to infer asset utilization based on a mix of asset location, time of flight, and presence detection data using sensors and devices placed on assets.