Kaskada, a machine learning company that enables collaboration among data scientists and data engineers, completed a Series A funding round of $8 million.
Investors include Voyager Capital, NextGen Venture Partners, Founders’ Co-op, and Walnut Street Capital Fund.
“Deploying machine learning features is a pain for data scientists,” said Davor Bonaci, Kaskada CEO. “Data scientists handoff features to data engineers who must reinvent the wheel to put them into production. Our platform enables feature stores, which let science and engineering teams share features across the organization.”
Kaskada develops a machine learning studio for feature engineering using event-based data. The Kaskada platform allows data scientists to unify the feature engineering process across their organizations with a single platform for feature creation and feature serving.
“Kaskada is addressing a huge market need because nearly every company today is pouring significant resources into their data science efforts and very few are seeing results that meet their expectations,” said James Newell, Voyager Capital Managing Director. “The Kaskada team’s prior work at Google Cloud and AWS gave them the chance to see the need for a unified platform for feature engineering as well as the expertise to help companies accelerate and improve the delivery of machine learning capabilities.”
The Series A round brings the company’s total funding to date to $9.8 million.