Zero Assist

Real-time AI cheating detection for technical interviews

Hiring

SaaS

Remote Work

Alpha

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Very interesting product. Are you only focused on tech interviews ? even in non tech online interviews there might be some level of 'cheating' but i assume this is much more complex to target. great idea! good luck!

Ohh yeah, the must needed one! Facing this problem in almost 60% of interviews where we can't judge if the candidate is cheating or not. And the result, we waste our days, hours on interview rounds of irrelevant candidates who're actually caught cheating in interviews.
Hopefully it helps now. Congrats on the launch team. Good one.

Great mission and concept! As mentioned the false positives is the big concern. Have you tried testing it with "generic" sounding interviews? ones that might be flagged as AI but aren't?

When your agent flags something, how do you minimize false positives—especially for legitimate tools engineers might have open (Copilot, IDE assistants, accessibility apps)—and what does the “evidence” look like that an interviewer could confidently use in a dispute?

Interesting problem to solve, but I'm curious about the flip side, as AI tools get better at mimicking "natural" behavior, how do you stay ahead without the detection itself becoming a false-positive machine that flags good candidates unfairly?

We are currently witnessing a massive arms race in remote tech hiring. A year ago, cheating meant a candidate looking down at their phone or having a hidden browser tab open.

Today, it is a completely different landscape. There is an entire industry of "Stealth AI" tools (like Parakeet AI, Final Round AI, and Cluely) specifically engineered to defeat traditional video interviews and screen sharing. These tools intercept system audio, transcribe the interviewer's questions in real-time, and project the exact code or answers onto the candidate's screen using invisible GPU overlays that standard screen-sharing software physically cannot see.

The cost of this is staggering. Companies are making $150k+ hiring decisions based on AI-generated performance, leading to massive sunk costs in onboarding and immediate productivity bottlenecks. Even worse, brilliant, honest candidates are losing out on jobs to people using software to fake their skills.

We can't rely on webcam "eye-tracking" or "gut feelings" anymore. I built Zero Assist because the only way to detect stealth AI is with forensic, OS-level monitoring. We have to restore integrity to the hiring process so that the best engineers win on merit, not on who has the most expensive hidden copilot

the silent agent deployment is the part i'd want to understand from a legal and consent standpoint. depending on jurisdiction, installing monitoring software on a candidate's machine during an interview has compliance implications that vary pretty significantly. does Zero Assist require explicit candidate consent before deployment and how are you thinking about the liability if a candidate later claims unauthorized monitoring? that's not a hypothetical question in 2026, it's already happening in employment law