OspreyData was founded within the Frost Venture Partner incubator. OspreyData harnesses the mass of sensor data generated by modern, high-value mechanical assets to predict and prevent failures, reduce downtime, and enhance operating efficiency. OspreyData analyses sensor data in real time using machine learning to continuously improve the insights and predictions it generates. By supplementing these capabilities with a full decision modeling platform OspreyData can produce accurate operational decisions to deliver optimal value from your high-value mechanical assets while preventing outages and accidents. OspreyData provides a missing layer in the architecture of modern mechanical systems. Existing control systems are unable to tap into the predictive insights hidden within the mass of sensor data generated by complex machines from jet turbines to oil platforms. OspreyData is a physical systems intelligence platform that operates alongside traditional monitoring, process control, and Supervisory Control and Data Acquisition (SCADA) to deliver deep, predictive insights into the behavior of complex mechanical systems. These insights drive the operation, servicing and management of these critical assets.