Kaskada Bags $8M Round to Accelerate
February 10, 2020
a machine learning company that provides a unified platform for feature
engineering, has completed a Series A funding round totaling $8 million.
The investors include, among others, Voyager Capital, NextGen Venture
Partners, Founders' Co-op, and Walnut Street Capital Fund. The total
amount raised to date by Kaskada is $9.8 million.
Kaskada helps organizations make better predictions and increase the
speed of innovation by integrating data science and data engineering
workflows. 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.
Features are the independent variables that go into machine learning
algorithms and are among the most important factors in a machine
learning project’s success. Most companies manage feature engineering
and feature serving as a non-collaborative, inefficient process. Data
scientists design features and data engineers must rewrite the features
before they are deployed. This process slows innovation and increases
the potential for error. Kaskada provides a unified platform for data
scientists and data engineers to share features and eliminate
inefficiencies, allowing teams to operate as high-functioning data
“Deploying machine learning features is a pain for data scientists,”
said Davor Bonaci, Kaskada CEO. “Data scientists hand off 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.”
will use the Series A funding to accelerate the company’s growth, expand
its team of software engineers, and fulfill more customer demand. The
company is delivering its product in the first half of 2020 and is in a
growth mode with its team, customers, and partners.
“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
The Kaskada platform for feature engineering and feature serving will be
available for beta evaluation by invitation only.