There is a big difference between dumping a dataset in the latest hot ML model and building something that offer some actual explainability, deal with intrinsic biases, have some stability over time and recalibration and that will go trough an unprecedented crisis for which you don't have any data to learn from. That mean the model usually has to go trough a lot of internal commities and different external agencies. I highly suspect that an external proprietary solution won't go very far in the credit rating field.

This is definitely a super interesting company/approach - thanks for the link! I'm definitely curious as to whether they're actually using things like neural nets (or any other more-sophisticated technical techniques). The traditional problem is that those models aren't explainable, and potentially have hidden biases in them, so I'd be really curious what their approach is.

Do you work for them? What is your background in academia/business?