Kaskada is a machine learning studio that uses event-based and streaming data to compute machine learning features.
Kaskada empowers data scientists by allowing them to discover, test, and deploy features in a collaborative, version controlled environment.
Kaskada was founded in 2016 by Davor Bonaci and Ben Chambers. The company is headquartered in Seattle, Washington.
Kaskada helps organizations make better predictions and drive more impact from machine learning by increasing speed of innovation and computing features in real time.
Kaskada delivers an end-to-end platform for feature engineering and feature serving, including a collaborative interface for data scientists and robust data infrastructure for computing, storing, and serving features in production.
Kaskada ingests historical data from data warehouses and data lakes and consumes messages from streaming data sources, like Apache Kafka and Amazon Kinesis. It transforms this events-based data into a usable format for aggregations and other feature calculations. And it lets data scientists write feature calculations using data from connected sources.
Kaskada is backed by Voyager Capital, NextGen Venture Partners, Founders’ Co-op, Walnut Street Capital Fund and others. The company raised $8M in a Series A financing on Feb 04, 2020. This new round brings Kaskada's total funding to $9.8M to date.