Unfortunately that's not a matter of spending money, the changes we made to the data system in Alchemist for the release are too deep to allow us to convert between them, we've tried but couldn't get satisfying conversion results.
People would be happy with something that takes in their old materials, creates new materials in the release version with the layers and filters they previously used, and sets the same values for the exposed parameters. For some people we're taking about hundreds of hours of rework this could prevent.
I've lead software development teams doing data extraction, transformation, and analysis in the financial and healthcare space for years, so I really do get it. I can't stop analyzing patient data from 15 years ago, despite the fact that healthcare data architectures are reinvented every couple of years. I can't discard account information if a client is moving from relational to object databases.
Migrating to a new schema or model can be complex, but it is RARELY impossible. We can see the v1 and v2 data models (or rather, infer) through the material JSON. This is not one of the cases where transformation is impossible.
If you need the data, regardless of what model it was previously in, you build a transformation. If you don't, it's either a matter of time or money.