u/Key-Associate-2359

Hey everyone, my co-founder and I need a reality check. While building an AI customer support tool, standard vision APIs kept failing when users sent bad photos asking questions about product on the photo.

To fix this, we spent 6 months researching and building our own visual identification engine that handles 100,000+ SKUs requiring only 1 clean reference photos per item, yet hits 99+% precision on messy user uploads.

I can’t find anything off the shelf pulling this off under these constraints, so did I miss anything or do we have something really useful/rare?

Hey everyone, my co-founder and I need a reality check. While building an AI customer support tool, standard vision APIs kept failing when users sent bad photos asking questions about product on the photo.

To fix this, we spent 6 months researching and building our own visual identification engine that handles 100,000+ SKUs requiring only 1 clean reference photos per item, yet hits 99+% precision on messy user uploads.

I can’t find anything off the shelf pulling this off under these constraints, so did I miss anything or do we have something really useful/rare?