DataMind AI - Malfunction Prediction as a Service

DataMind AI is a Software as a Service (SaaS) product. It finds meaning and patterns in data that are translated into actions that solve the unsolvable, maximizing productivity and reducing costs. It brings companies considerably closer to the goal of predictive maintenance strategies. Malfunctions are accurately predicted up to one month in advance and asset health is continuously monitored to save up to 20% of unplanned downtime annually.

DataMind AI’s patent-pending innovative algorithms consume existing data to predict and monitor asset health and reduce fault-finding time with malfunction root cause analysis and faulty switch and sensor notifications, allowing you to extend the life of assets and increase production throughput.

Razor Labs’ team of industry experts’ partner with you through all stages of your journey to predictive maintenance, facilitating the large return on investment from deploying DataMind AI.

Current DataMind AI deployments predict failures for manufacturing, utilities and mining equipment, including electrical malfunctions, mechanical malfunctions such as: belt undertension, gearbox overheating and over-torque, hydraulic malfunctions such as flow and pressure faults, sensor drift and mis-calibrations such as of encoders, and more.