Kaskada is an innovative, Seattle-based, machine learning company that is leveling up the data science and machine learning industries. We are the company that first solved temporal streaming join, helping users create and operate predictive models with event-based data. Now, users can build models that weren't previously possible, that will actually work once put in production – without leakage. With Kaskada, you can choose to calculate all feature values at any point in time. Or, you can calculate the feature values for each entity at the time an event occurred. For instance, calculate all features at the exact time a user made a large purchase, when a customer churned out 30 days after their planned subscription date, or at the time of a fraudulent transaction. Use these point-in-time and event-driven feature values to train models without risk of leakage. When you're ready, you can compute the same feature values with a time of "now" to make new predictions using a live model in production. Quickly try ideas on historical data by computing the prediction and label times for each training example directly from event times and fields. Iteration enables exploration and discovery. Check out Kaskada in action on industry-specific solutions and try it yourself!