Catch quality problems before users do
Gatelyr continuously checks AI output against what you actually expect — so a model update, a prompt change, or a quiet regression gets caught before it reaches your users, not after.
The problem
Once an AI feature ships, most teams have no ongoing way to check whether its answers are still accurate — until a customer notices first, and by then it's already a support ticket or worse.
How it helps
What this means day to day
Catch answers that don't hold up
Flag responses that don't match your own documented facts or expectations.
Notice when a model update makes things worse
Get alerted if quality quietly drops after something changes upstream.
Compare models before switching
Test two models against the same real questions before committing to one.
Roll back with confidence
Return to a previous version of a prompt if a change doesn't work out.
Catch a bad prompt change before it ships
Test a prompt edit against real past examples before it goes anywhere near production.
Build a record of what "good" looks like
Turn tribal knowledge about correct answers into a standing set of checks anyone can run.
Want to see this on your own use case?
Contact Us to see catch quality problems before users do on real traffic.