Using Machine Learning Operations (MLOps), we provide a process to design, build, train and manage reproducible and testable Machine Learning software.
Developing a machine learning model for a business case is a hard task. Deploying an ML-model in production in a reliable and efficient way that has the desired effect turns out to be even harder. Most organizations do not have operational pipelines that supports the data scientists from idea to model deployment.
At ReBatch we build reproducible, stable and efficient machine learning software that solves business cases.
