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After acquiring MLOps specialist Algorithmia, the company aims to be the ‘go-to vendor’ for enterprise MLOps architecture by assuming responsibility for every machine learning model that an organization has created. DataRobot has fresh VC fuel in its tank to execute on this strategy.

Human intelligence is good at intuition and experience, generating unique and tailored offerings, as well as recognizing patterns and connections. At the same time, machine intelligence shines when it comes to executing rules-based approaches and processing power, as well as handling large-scale tasks and massive data volumes. DataRobot combines the best of both worlds in our Augmented Intelligence strategy.

Machine learning operations (MLOps) is a major turning point for organizations trying to realize the transformative value of artificial intelligence (AI) but struggling to put that value into practice across the enterprise. MLOps allows organizations to change data science into a pragmatic science of software engineering where machine learning (ML) development projects can run as fully integrated parts of the business, enabling the creation of repeatable, scalable, and trustworthy AI results.