Sherlock is an AI-agent that stops AI-assisted cheating during remote interviews. Sherlock ensures interview integrity by detecting AI-assisted cheating through vision, hearing, and reasoning— letting you focus on quality conversations.
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@skabhi Big congratulations to the team behind Sherlock! In an era where AI tools are everywhere, it's amazing to see an AI that actually protects integrity rather than compromising it. This is a huge step forward for fair hiring practices—well done!
@smrati_tiwari4 Thank you so much. That’s exactly what we set out to do - use AI to protect what actually matters. We’re just getting started!
This looks like a promising solution for maintaining interview integrity. However, I recently came across a LinkedIn post by Manikandan where he shared video evidence showing that Sherlock was unable to detect his AI-assisted tool during an interview simulation. Could you clarify if this has been addressed or if there are updates in the pipeline to handle such bypass techniques?
@joseph_michel Many people are now using open-source code from AI-based cheating apps to customize and build their own versions. These often take the form of AI teleprompter overlays that sit on top of interview screens, making them extremely hard to detect.
At Sherlock, we’ve built a feature specifically to counter this. Even if a candidate is using a custom-built app, Sherlock can detect what applications are currently running on their system during the interview. This gives interviewers the power to explicitly allow or disallow specific apps in real-time.
This way, Sherlock effectively neutralizes these AI cheating tools—even the customized ones—by giving full visibility and control back to the interviewer.
@skabhi Appreciate the response, Abhishek — but if Sherlock can only detect certain applications then what's the point for paying you ?, isn’t that a fundamental limitation?
If sophisticated cheating tools can still slip through by avoiding detection , then what’s the real advantage of using Sherlock over standard proctoring solutions?
@skabhi How does Sherlock distinguish between benign behaviors (e.g., a candidate glancing at notes) and malicious AI cheating—especially as tools like AR glasses or background apps blur the line? For instance, if a candidate uses a secondary device off-camera to query ChatGPT, how does the system infer this without invasive screen monitoring? Are detection models trained on real-world cheating tactics, and is there a feedback loop for interviewers to flag false alarms?
This is a much-needed tool for ensuring integrity during remote interviews! How does Sherlock handle scenarios where candidates may use multiple devices or switch between different applications during the interview?
@sofiia_kunakh Sherlock takes control of the device and it doesn't allow multiple device connections. Check this logic diagram that helps understand how Sherlock stops cheating.
We’ve been building Sherlock to catch cheaters in remote interviews for over a year now.
And we didn’t build it in a vacuum — we’ve reviewed thousands of interview videos, partnered with recruiters, and trained Sherlock on real-world cheating patterns to build something truly reliable.
We built Sherlock because remote hiring has a trust problem.
Candidates use ChatGPT on the side. They read answers off hidden AI teleprompters. They share screens over Zoom and whisper with someone in the background. Most platforms don’t catch this — Zoom can’t. Sherlock can.
Sherlock detects:
• AI teleprompters and overlays that Zoom and Google Meet can’t see
• Murmurs, whispers, and backseat coaching
• Tab switches and copy-paste behavior
• Multiple people or faces on camera
• When the candidate leaves the frame
• And much more — all flagged automatically, with zero human proctoring.
Our fight isn’t against using AI in interviews.
It's against faking skills.
If candidates and interviewers mutually agree to use AI, that’s great. Let the conversation flow. Sherlock understands that.
But most interviewers aren’t looking to be the police. They want real, meaningful conversations.
Sherlock doesn’t just detect cheating — it discourages it. Candidates know they’re being watched by a smart system, not a passive Zoom call.
As of today, anyone can use Sherlock. No sales call. No waitlist. Just sign up, upload your interview recordings or run them live, and let Sherlock do the rest.
It’s already helped fast-growing startups and enterprises hire with confidence. Now it’s your turn.
I hope Sherlock solves a trust problem for you. It solved one for us. And please — I’d love to hear what you think.
https://withsherlock.ai
@tushar_sharma37 Thank you so much! Really appreciate the kind words!
Our approach is a bit different, Sherlock runs directly within our platform, so there’s no need for APIs, SDKs, or third-party integrations. It’s all built-in, making setup and usage super simple for teams.
Very thoughtful name and logo — great product! I'm not currently hiring, but I’ve heard from many people that cheating is a real concern in online interviews. Especially as a startup, you don’t want to risk hiring the wrong team. I’ll definitely share this with my friends.
@harshrawat Thank you, that truly means a lot.
You're spot on - we've heard similar concerns from early-stage teams, and that's been a big motivation behind building Sherlock. It's all about helping companies make confident, high-trust hires, even remotely.
Really appreciate you thinking of sharing it with your friends!