It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago

Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago

Clearcover has announced the launch of an innovative embedded insurance solution in which consumers receive final, bindable quotes when they shop via Experian’s auto insurance comparison shopping service. Source: about 1 year ago

Clearcover provides a mobile app-based platform for drivers to manage their auto insurance policies. The platform includes a Coverage Wizard feature to help users find and compare policies, while claims are handled digitally through the Clear Claims feature. Source: about 1 year ago

Https://www.roamly.com/ for our fifth wheel Https://clearcover.com/ for our truck. Source: over 1 year ago