Artificial intelligence is playing an increasingly large role in enterprise software, and Boston’s DataRobot has been helping companies build, manage and deploy machine learning models for some time now. Today, the company announced a $206 million Series E investment led by Sapphire Ventures.
Other participants in this round included new investors Tiger Global Management, World Innovation Lab, Alliance Bernstein PCI and EDBI, along with existing investors DFJ Growth, Geodesic Capital, Intel Capital, Sands Capital, NEA and Meritech.
Today’s investment brings the total raised to $431 million, according to the company. It has a pre-money valuation of $1 billion, according to PitchBook. DataRobot would not confirm this number.
The company has been catching the attention of these investors by offering a machine learning platform aimed at analysts, developers and data scientists to help build predictive models much more quickly than it typically takes using traditional methodologies. Once built, the company provides a way to deliver the model in the form of an API, simplifying deployment.
The late-stage startup plans to use the money to continue building out its product line, while looking for acquisition opportunities where it makes sense. The company also announced the availability of a new product today, DataRobot MLOps, a tool to manage, monitor and deploy machine learning models across a large organization.
The company, which was founded in 2012, claims it has had triple-digit recurring revenue growth dating back to 2015, as well as one billion models built on the platform to date. Customers contributing to that number include a broad range of companies, such as Humana, United Airlines, Harvard Business School and Deloitte.