DataRobot’s Acquisition of Algorithmia

Perkins Coie advised Algorithmia on the deal while Cooley represented DataRobot.

DataRobot, a leader in Augmented Intelligence, announced the acquisition of machine learning operations (MLOps) platform, Algorithmia, further cementing DataRobot’s place as the preeminent provider of comprehensive solutions in the MLOps space, focused on bringing machine learning models into production.

The Algorithmia MLOps platform aims to bring models into production and deliver business value with enterprise-grade security and governance, continuous integration, and accelerated deployment. The platform is designed for the needs of IT operations specialists, enabling enterprises to address complex, high-volume model production effectively and securely. Over 130,000 IT operations, data scientists, and engineers have used the Algorithmia platform to date — including Fortune 500 companies such as Merck, Ernst & Young, and Deloitte.

Algorithmia’s unique approach brings together best practices from AI/MLOps and DevOps, establishing streamlined, productive, and repeatable procedures for organizing customers’ machine learning work from IT, data scientists, and the organizations that depend on them. This approach enables customers to manage the complexity of moving models to production, and IT organizations to easily integrate MLOps into their existing IT operations management (ITOM) practices.

DataRobot is a leader in Augmented Intelligence, delivering trusted AI technology and enablement services to global enterprises competing in today’s Intelligence Revolution. DataRobot’s enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models.

For machine learning leaders that need to put ML models into production faster, more securely and cost-effectively within their existing operational processes, Algorithmia is MLOps software that manages all stages of the ML lifecycle within existing operational processes.

The Perkins Coie deal team was led by corporate partner David McShea (Picture), Seattle partners Lee Schindler and Nick Davis and included counsel Arian Galavis and associate Chris Wittels. Advice was also provided by employee benefits partner Tom Cristy and associate Tomer Vandsburger; executive compensation partner Lisa McGimpsey; technology transactions partner Sam Hong; tax partner Bryan Smith and associate Eric Ashcroft.

The Cooley team was led by Harley Brown and Heather Harrington. Additional assistance was provided by Mor Agam, Patrick Argenio, James Christopher, Tom Connors, Bill Corcoran, Philip Cosmos, Danielle Crinnion, Erin Estevez, Akiyah Francis, Joshua Friedman, Christopher Kimball, Pat Mitchell, Gerard O’Shea, Ryan Sonberg, Connor Tweardy, Jessica Winn and Steven Zuckerman.

Involved fees earner: Mor Agam – Cooley LLP; Patrick Argenio – Cooley LLP; Harley Brown – Cooley LLP; James Christopher – Cooley LLP; Thomas Connors – Cooley LLP; William Corcoran – Cooley LLP; Phillip Cosmos – Cooley LLP; Danielle Crinnion – Cooley LLP; Erin Estevez – Cooley LLP; Akiyah Francis – Cooley LLP; Joshua Friedman – Cooley LLP; Heather Harrington – Cooley LLP; Christopher Kimball – Cooley LLP; Pat Mitchell – Cooley LLP; Gerard O’Shea – Cooley LLP; Ryan Sonberg – Cooley LLP; Connor Tweardy – Cooley LLP; Jessica Winn – Cooley LLP; Steven Zuckerman – Cooley LLP; Eric Ashcroft – Perkins Coie; Thomas Cristy – Perkins Coie; Nicholas Davis – Perkins Coie; Arian Galavis – Perkins Coie; Sam Hong – Perkins Coie; Lisa McGimpsey – Perkins Coie; David McShea – Perkins Coie; Lee Schindler – Perkins Coie; Bryan Smith – Perkins Coie; Tomer Vandsburger – Perkins Coie; Christopher Wittels – Perkins Coie;

Law Firms: Cooley LLP; Perkins Coie;

Clients: Algorithmia; DataRobot;

Author: Martina Bellini