Quixas Technology

Quixas helps teams understand how well their AI actually performs once it reaches production.

Many companies can tell you that an AI feature, agent, or workflow is live. Far fewer can clearly answer:

• How often does it complete the task correctly?• Where does it fail?• Which failures matter most to the business?• Did the latest change make the system better or worse?

Quixas works with product and engineering teams to answer those questions.

We evaluate live AI systems against real production behavior, establish a measurable task-success baseline, identify the highest-impact failure modes, and create a regression baseline teams can use to improve the system without flying blind.

Our work is focused on production AI reliability: evaluation, failure analysis, task-level performance, regression testing, and the controls needed to improve AI systems with confidence.

The goal is simple: turn “the AI seems to work” into a clear view of what works, what does not, and what should be fixed next.