TurboML is an ML platform reinvented for real-time. Imagine having all the capabilities of an ML platform – from creating data sources, features, models, deployments and metrics to continuously maintaining and improving them – while simultaneously being able to use the freshest real-time data. How quickly would your team be able to iterate if they could directly test their hypotheses on the live production data? How effective and relevant would your models be if they could learn from real-time data?