Numbers over narrative
We earn trust the way we ask our customers to: with measured, reproducible results across models and domains.
About
Building the trust layer for production AI.
We build the layer that tells you which AI outputs to trust — so teams can ship models into real products without shipping their mistakes too.
Mission
Judgment, as infrastructure.
Language models are fluent whether or not they are right. As they move from demos into production — answering customers, writing code, driving agents — the missing piece is not more capability. It is a way to know which answers to trust.
QSI is an independent governance layer for LLM inference. It reviews every answer, flags the ones likely to be wrong, and stays out of the way of the ones that are right. It is model-agnostic and fail-open by design, so adopting it never means adding a new way for your product to break.
We believe the companies that win with AI will be the ones that can put it in front of real users with confidence. Our job is to make that confidence earned.
Fail-open, always
A governance layer that can take down production is not governance. QSI never sits in the critical path.
Independent by design
The reviewer is separate from the model under review — judgment you can trust precisely because it is not the same system.
Team
A small team building serious infrastructure.
We are researchers and engineers working at the intersection of model evaluation and production reliability. Full team page coming soon.
Want QSI run against your models?
Reach out and we will set up a demo on your data.