Evozn.ai is the orchestration layer we built to make a frontier real-time voice model run a real, structured interview — the same set of questions, every time, with no drift, no repeats, no skipped candidate — currently powering Tara, the interviewer inside RiseYou.
Ask a real-time voice model to run a 20-question interview unsupervised, and it will drift — asking the same question twice, skipping one it already covered, or racing through a closing script in one breath instead of waiting for a real answer. It isn't broken. It's doing exactly what generative models do: producing a plausible continuation, not a verified one.
The model never decides on its own what to ask next, when the interview is done, or how to close it — that judgment stays with a reliability layer purpose-built to hold it precisely. The model is free to sound natural and responsive. It's not free to lose count.
Voice interview AI is usually shown off on software engineers. We ran it deliberately on candidates it wasn't built around, to find where a resume-anchored, industry-general system breaks.
Catching a question asked twice in different words, not just verbatim.
The industries above already validate the interview engine works generally — extending the same rigor to matching and screening ahead of the interview.
The same reliability discipline — natural, capable conversation held to a precise standard — generalizes past hiring to any high-stakes structured conversation.