- Kaskada, a machine learning company that provides a unified platform for feature engineering, announced it raised $8 million in funding
Kaskada — a machine learning company that provides a unified platform for feature engineering — announced it has raised $8 million in funding. The investors in this round include Voyager Capital, NextGen Venture Partners, Founders’ Co-op, and Walnut Street Capital Fund. Including this round of funding, Kaskada has raised a total of $9.8 million.
What does Kaskada do? Kaskada helps organizations make better predictions and increase the speed of innovation by integrating data science and data engineering workflows. And Kaskada delivers an end-to-end platform for feature engineering and feature serving, including a collaborative interface for data scientists and data infrastructure for computing, storing, and serving features in production.
Feature engineering is known as the independent variable that goes into machine learning algorithms, which is crucial to the success of projects. And most companies manage feature engineering and feature serving as a non-collaborative and inefficient process. And data scientists build features and data engineers must rewrite the features before they are deployed.
This slows down innovation and increases the potential for error. But 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 science factories.
“Deploying machine learning features is a pain for data scientists,” said Kaskada CEO Davor Bonaci. “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.”
With this round of funding, Kaskada will accelerate the company’s growth, expand its team of software engineers, and fulfill more customer demand. And the company is delivering its product in the first half of 2020.
“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,” added Voyager Capital Managing Director James Newell. “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.”