Arrikto’s mission is to enable data scientists to build and deploy their machine learning models faster. The company, which raised a $10 million Series A round in late 2020, is building its platform on top of Kubeflow, a cloud-native open-source project for building machine learning operations that was originally developed by Google but which is now mostly managed by the community. Until now, Arrikto’s main product was a self-managed enterprise distribution of Kubeflow for enterprises (aptly named ‘Enterprise Kubeflow’) that wanted to run it in their data centers or virtual private clouds. Today, the company is also launching a fully managed version of Kubeflow.
“Pushing ML models from experimentation all the way to production is incredibly complex,” Arrikto CEO and co-founder Constantinos Venetsanopoulo …
