How do you compare to a platform like Arize? https://arize.com/
With UpTrain, one can define custom measures to monitor upon, add custom algorithms for model stability or drift detection as well as fill in any integration gaps in terms of using us in production
1) It provides automated issue resolution and saves data scientists' effort to debug and fix their models. 2) It allows us to reduce false positives in alerting: we send alerts only when we see a dip in model performance, or retraining can lead to improved model accuracy.
Anyway, congrats! Excited to see where you go with this.