WatchHire watches for the signs of remote-interview cheating — AI copilots hidden from screen share, remote-access tools like AnyDesk or UltraViewer, virtual audio feeding in answers, and candidates quietly switching to another tab — then hands your HR team a clear report the moment the call ends.
Independent research and newsroom investigations now put hard numbers on what used to be a hunch. CNBC has reported hiring teams unknowingly interviewing deepfaked and proxy candidates — and analysts expect it to keep compounding as the tools get cheaper.
Figures are drawn from third-party research and reporting (Gartner; Fabric, via The Interview Guys; CNBC). They describe the industry-wide problem — not WatchHire's own results.
AI copilots built to stay invisible during a video call are common and cheap. So is quietly letting someone else drive through remote-access software, or feeding in answers through a virtual audio device. Most companies have no way to know any of it happened.
Some AI assistants hide themselves from screen-share capture entirely — visible to the candidate, invisible to you.
Tools like AnyDesk or UltraViewer let someone else quietly take control, or a second person answer live from off-screen.
Enterprise proctoring exists, but usually needs 150+ candidates and enterprise pricing — out of reach for most growing companies.
Named checks, not a surveillance feed — each maps to a specific way a remote interview gets faked.
Windows set to dodge screen-share capture, or near-invisible overlays quietly feeding answers.
AnyDesk, UltraViewer, RDP and similar — a second person quietly driving the session.
Software cameras and virtual audio piping in a prepared or manipulated feed.
Real-time face-swap or avatar software running on the candidate's machine during the call.
Sustained switches away from the interview to another tab or application.
A quick check that the person on camera matches their submitted ID — one comparison, nothing stored.
Purpose-built interview-cheating tools now run as invisible overlays with over a million combined users, and new ones appear every week. WatchHire watches for the behaviour rather than a fixed blocklist — so it catches tools it has never seen by name.
Built for HR to run without any technical setup — and completely invisible to interviewers, who never install anything at all.
One click generates a unique link for the candidate and a live watch view for the interviewer. Takes seconds, no scheduling tool required.
The candidate downloads a small companion app before the call. It asks for consent, runs only for the interview's duration, and deletes itself the moment it ends.
Session-scoped by design — nothing persists afterEvery flag is summarized in plain English automatically, so your team can review a finished report — not a raw log — in under a minute.
No dashboards to learn, no logs to interpret — a clear, written summary alongside the full evidence timeline, ready to print or share.
The monitoring system recorded two low-confidence flags during this interview, both consistent with normal browser and window behavior. No high-confidence indicators of AI-assisted cheating were detected. Overall, this session shows no significant concerns worth flagging to the hiring team.
Watching for AI copilots, remote-access handoffs, and virtual devices doesn't require watching everything. WatchHire was designed around one rule: collect only what's needed to answer one question, and nothing else.
No screen recording, no keystroke logging, no audio capture. Only specific, named signals are checked — never a general surveillance feed.
The candidate sees a clear consent screen before anything runs, and can decline.
The desktop app removes itself automatically once the interview ends — nothing left behind on the candidate's machine.
What reaches your team is a short list of named signals with timestamps — never a video, never a transcript.
Yes — a small companion app they run just before the call. It asks for consent, runs only for the interview's duration, and deletes itself the moment it ends.
No. Interviewers work from a browser sidebar during the call — there's nothing for them to set up or install on their side.
Never. No screen recording, no keystroke logging, no audio capture — only specific, named signals with timestamps. What reaches your team is a short list of flags, not footage.
They can decline consent and nothing runs. The report simply notes that monitoring couldn't be confirmed for that session — it never assumes wrongdoing.
Seconds for HR to create a session, and under a minute for the candidate to download and run the companion before joining.
WatchHire Interview reads a job description, designs a real first-round interview in under two minutes, then conducts it live by voice — adaptive follow-ups, conversational, role-play, or live coding formats, and a scored report the moment it ends.
A 30-minute human screening call per candidate is real time from someone's calendar. Most "AI interview" alternatives ask the same fixed question list regardless of the answer — no real follow-up, no adaptive depth, and no consistent bar across candidates.
A human screening call per candidate doesn't scale past a handful of open roles running at once.
Most "AI interview" tools ask a fixed list of questions regardless of the answer — no real follow-up, no adaptive depth.
Different interviewers — or the same one on a different day — unconsciously apply a different bar. Candidates aren't compared like-for-like.
Adaptive follow-ups, scenario/role-play, live coding, and a JD-to-agent flow in under two minutes — the same bar the best answer-analysis tools hold themselves to.
Paste a job description; WatchHire designs the format, competencies, and question plan automatically.
Conversational screening, role-play for sales/support roles, or live coding for engineering — matched to the role automatically.
Vague answers get probed for a concrete example; strong answers get pushed deeper; weak ones aren't dwelled on.
Real-time speech in both directions, with a natural on-screen interviewer persona rather than a text-only bot.
Attach a resume before the interview for a fit score, matched/missing skills, and red flags to probe live.
The rubric explicitly excludes accent, appearance, and speaking style — the same fairness stance serious competitors take.
Every interview is generated fresh for the role in front of you — not picked from a fixed bank of generic questions.
WatchHire's AI reads it and designs a first-round interview: format, competencies, question plan, and rubric — ready in under two minutes.
Generated per role, not a template pickerThey open a link, and the AI interviewer greets them by voice, asks its first question, and adapts its follow-ups from there.
Per-competency scores, a written recommendation, and — if you're also using WatchHire's integrity monitor — one fused verdict covering both.
Every score is grounded in the transcript — not a black-box number your team has to take on faith.
Priya showed strong command of distributed-systems fundamentals and gave a concrete, specific example when probed on a past scaling incident. Communication was clear and structured throughout, and she adapted well to follow-up pressure on system design trade-offs. Recommended to advance to a technical round.
Speed only matters if the assessment underneath it is honest. WatchHire Interview is built around one rule: score what was said, never who's saying it.
The rubric explicitly instructs the AI never to factor in accent, appearance, or speaking style — only what's actually said.
Every score traces back to a specific answer in the transcript — never a black-box number.
Voice is processed in real time to run the interview; long-term recording storage isn't part of the current setup.
Pair with WatchHire's OS-level monitor for one report covering both performance and honesty — something answer-only tools can't structurally offer.
Most teams use it as a first-round screen — it decides who advances to a human technical or culture round, rather than making the final call itself.
The candidate can click "I'm done answering" if automatic turn-detection doesn't catch a pause correctly — nothing gets lost.
Yes — a coding format is available for engineering roles. The AI evaluates the candidate's reasoning and approach live and probes their decisions as they work.
Not yet — today it's a standalone link-based flow. ATS integration is on the roadmap.
No — the AI interviewer needs nothing installed on the candidate's machine. The integrity monitor is a separate, optional layer for when you want both signals fused into one report.
No seat licenses, no annual contract to get started. Pay per candidate, and combine both products for a meaningfully lower per-candidate rate than running them separately.
Pricing shown is current list pricing and may be adjusted as we onboard early customers — ask us for a volume or subscription quote for your hiring pipeline.
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