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I implemented a similar system a while ago, including differential privacy. The data at my firm was so messy the models failed miserably. You really need an analysis phase that can tell a customer whether their data will work or not. I.e. weird distributions, crazy foreign keys, difficult data types.

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Yes - you're absolutely right in that data is a messy business.

Even in the early days we've seen crazy data types and constraints that makes our job of completely automating the process hard. However, every instance of this makes the product better and this transfers to the next customer.

> You really need an analysis phase that can tell a customer whether their data will work or not

This is part of the roadmap, it's a non-trivial piece of engineering. In the meantime you can try it for free and see if it works for you :)

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