Machine-powered analysis startup DataScience, Inc. has raised $22 million Series B in a round led by Whitehard Ventures.

Founded in 2014, DataScience aims to help companies spend less time analyzing data and more time implementing decisions based on their data through actionable insights.

The company gathers data from customers in real-time or as flat files, with actionable insights extracted from the data through the use of proprietary technologies, a network of custom models, and an in-house team of data scientists.

DataScience’s technology considers predictive factors such as lifetime value, churn, and likelihood of sale, in addition to particular needs expressed by the customer, with the resulting insights published on the DataScience web application, which includes a number interactive tools covering categorization, advanced search, and other collaborative functions.

“The demand for data science capabilities is booming across industries, and we’ve designed a product that leverages an ideal mix of human intellect and machine-powered analysis to serve that need,” DataScience Chief Executive Officer and Co-Founder Ian Swanson said in a statement sent to SiliconANGLE. “Whether our customers have in-house data scientists or not, we’re able to onboard in a matter of days, and quickly scale to deliver value across all of their business units, from marketing to customer support. Within months of service, many of our customers are seeing multi-million dollar revenue opportunities, and/or double digit improvements in their key metrics.”

Name and product

It would be remiss to not mention that DataScience’s name and URL are brilliant and a coup in and of itself, but the company is more than its name and DataScience is already building a decent spread of companies using its products including social applications like Tinder, through to consumer electronics companies like Sonos and Belkin.

The data science space is already crowded but as more and more companies see the value in being able to mine their data to gain insights to assist in product development going forward there are ample opportunities for new and newish players to grow a business, and this is the space DataScience is aiming for.

Including the new round DataScience has raised $28 million to-date. Previous investors include Greycroft Partners and Crosscut Ventures.

The company said it would use the new funding to grow their team of “leading data scientists and engineers who combine intellect, proprietary in-house tools, and data to drive significant business results.”

Image credit: DataScience/screenshot.