ClearMesh

learMesh is Git for your data. Except instead of tracking code changes, it tracks datasets, ML models, and those massive binary folders that everyone pretends they'll organize "later." You know the ones—the random collection of CSVs across five drives and the "final_final_v2.pth" file sitting in someone's Downloads.

If you've ever tried to collaborate on machine learning projects, you know the pain. Dataset versions get mixed up, training runs aren't reproducible, and somebody always says "wait, which checkpoint was the good one?" ClearMesh solves that whole headache by treating your data assets like first-class citizens in version control. Merge, branch, diff, rollback—the same workflow developers have loved for decades, now for the stuff that actually makes AI work.

This is one of those ideas that's so obvious you wonder why nobody built it sooner. Data versioning has been the ugly stepchild of MLOps forever. Everyone obsesses over model architectures but ignore the fact that half of AI teams can't even reproduce their own experiments. ClearMesh is pointing at the elephant in the room and saying "let's fix this."