There are may be other general-purpose tools out there that overlap in some ways, but our focus is on vertically specializing in the mainframe ecosystem and building AI-native tooling specifically for the problems in this space.
Here's a talk about it:
https://www.youtube.com/watch?v=W8TSPED0alY
If you load the code referenced here, https://book.gtoolkit.com/analyzing-cobol--the-aws-carddemo-... , you can explore the demo used in the talk.
I'm sure you'll manage to figure out the LLM-integrations.
Edit: The Feenk folks also have a structured theory for why and how to do these things that they've spent a lot of time and experience on refining, visualising and developing tooling around.
I think it is a good idea for anyone working with large legacy systems to have such a theoretical foundation for how to communicate, approach problems and evaluate progress. Without it one is highly likely to make expensive decisions based on gut feeling and vague assumptions.