Interview Cheating Is on the Rise--Here’s How We’re Stopping It

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Hi HN, We’re a small team of engineers from Shivon AI building Lyra, an AI-powered hiring tool that helps companies identify truly qualified candidates while detecting interview cheating. The hiring process today is frustrating—companies spend hours screening candidates, only to realize later that some weren’t the right fit. This problem has become worse with AI tools making it easier for candidates to cheat in interviews, leaving hiring teams unsure if they’re getting the right person. We saw how much time companies waste on screening and how AI-assisted cheating is distorting the hiring landscape. We wanted to build something that ensures companies focus on the right candidates—without relying on outdated screening methods. Lyra monitors candidates’ audio, video, and screen activities during the screening round to detect any suspicious behavior or AI-assisted cheating. It then flags inconsistencies in responses, giving recruiters valuable insights to make more informed decisions. Our goal is to bring transparency to the hiring process while saving companies time. We’re still in beta and would love feedback from the community. If you’re interested, we’re offering limited beta seats for free—just let us know! You can check out more details < https://shivonai.com/ > or review the demo < https://youtu.be/ZpvlJYDiRLk >. Would love to hear your thoughts, suggestions, or any experiences you’ve had with this problem!

Visit product View on Hacker NewsJan 31, 2025

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nativeThis product was originally launched on this platform.

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