VC surveys show there are hundreds of companies active today that define themselves as being part of the MLOps category. 

MLOps systems provide the infrastructure that allows ML practitioners to manage the lifecycle of their work from development to production in a robust and reproducible manner. MLOps tools may cover E2E needs or focus on a specific phase (e.g., Research/Development) or artifact (e.g., Features) in the process.