AI in hiring should show its receipts.
Hiring is one of the highest-stakes things software can touch. These commitments are structural — built into how the product works, not promises bolted on after.
Designed around the rules, not despite them.
New York regulates automated employment decision tools, with bias-audit and candidate-notice requirements when tools substantially assist decisions. Whether a given use falls inside that is a question for your counsel, and a human making the final call is not on its own the answer. What we give you is the evidence to answer it: an append-only trail of who scored what, on what evidence, and who decided. We do not keep a record of the notices you give candidates — that one stays with you.
European law treats recruitment AI as high-risk, and the obligations that follow are broad — risk management, data governance, technical documentation, logging, accuracy, human oversight. We have built for the oversight and logging parts and we are not yet a conformity-assessed provider. If you are hiring into the EU, treat that as work still to do, on both sides.
Generated, not library.
Question banks leak onto forums within weeks. Our content doesn’t exist until you paste the JD — scenarios, sims and mandates are generated for your role the moment you paste the JD, and several exercises are generated fresh per interview. There’s nothing to memorise and nothing to trade, and if a scenario feels rehearsed you can regenerate it before the interview starts.
We are not SOC 2 certified, and we have no psychometric validation study — we can show you evidence behind every score, but not yet a correlation between those scores and who succeeded in the role. The Data Processing Agreement is published, in force on every plan including Free, and needs no signature — it is not something Enterprise buys. Bias-audit support and a security review are Enterprise commitments, scheduled against real conversations rather than shipped in advance.
We’d rather you read that here than discover it in procurement.