For hiring teams

The AI hiring stack you can defend

Everyone has an AI interviewer now. Kavron is the one your legal team, your candidates, and your hiring managers all trust — deep anti-cheat, provable consent, and the full hire-to-pay loop in a single platform.

4
independent anti-cheat layers
On-device
face & eye analysis — frames never leave the browser
30-day
auto-purge of transcripts & proctoring data
10
languages, native-fluency graded
The trust layer

Built for the questions a buyer's legal team asks first

The AI-interview category's biggest liability is how it handles consent, biometrics, and candidate data. We turned that liability into the product's strongest moat.

Consent

Opt-in by design, not buried in a EULA

Four un-bundled consents (recording, biometric proctoring, data processing) gate every interview — and using interview data to train models is a separate toggle that's OFF by default. Every grant is an append-only, version-stamped audit record.

Most AI interviewers bundle consent — or train on candidate interviews — with no clear, separable opt-in. That's the exact ground competitors are getting sued on.

Retention

Biometrics never leave the device — and the rest deletes itself

Face and eye analysis runs entirely in the candidate's browser: facial landmarks and video frames are never transmitted or stored. Only behavioral flags and a derived integrity verdict are kept — and a daily job purges those plus the transcript after 30 days (the configured window), leaving only the numeric decision record. Paired with GDPR export and password-reauthenticated erasure.

Indefinite retention of voice and biometric data is the norm — and a growing BIPA / GDPR liability your legal team inherits.

Privacy

Scores can't leak to candidates

Candidates never see scores, recommendations, or per-question grades — enforced at the database query, the API response shape, and the UI. Three independent layers, so a future refactor can't open a hole.

Accidental score exposure through an over-broad API include is a classic, recurring leak in screening tools.

Sharper signal

A score that actually means something

More vetting modalities, more domains, and a verdict a hiring manager can trust — and contest.

Anti-cheat

Catches the camera-bypass cheat

Vision proctoring, a linguistic AI-assist detector (delay, zero disfluencies, essay cadence, uniform answers), 2× spot-error integrity traps, and a CV-vs-interview gap detector — four orthogonal signals fused into one verdict.

Single-modality webcam proctoring is defeated outright by “ChatGPT open behind the camera, read aloud.” Our linguistic detector targets exactly that blind spot.

Coverage

Every domain — and native-language hiring

Question depth is calibrated to each candidate's real background (no fixed tier), with domain-universal traps for medicine, finance, law, software and more. Language-specific roles run entirely in-language with a native-fluency + RLHF-viability score.

Most AI screeners are tuned for software engineers. Native-fluency grading for RLHF / data-labeling hiring is a market incumbents don't serve.

Fairness

Scoring you can show your work on

Borderline answers can get a small, capped benefit-of-the-doubt for nerves/transcription — never on integrity traps — and the exact points and reason are surfaced to recruiters. The model can't hide an adjustment.

AI scores are usually a black box, which fuels the “automated hiring is unaccountable” complaint. Ours is auditable and contestable.

Built to operate

A real product, not a demo

The whole hire-to-pay loop, and the reliability and economics to run it at scale.

Marketplace

Interview, hire, and pay in one place

Stripe Connect escrow contracts with milestone funding and release (idempotent, with refund/dispute/clawback handling) — plus a compounding 20%-per-milestone referral reward that grows your candidate supply.

Most marketplaces stop at matching and hand payment to external tools, with at best a flat one-time referral bonus.

Reliability

No single-vendor AI dependency

Reasoning routes to Claude, bulk extraction to a cheaper model, with retries and a fully local heuristic fallback — so interviews and grading keep working through a provider outage, and a per-model cost ledger shows real margin.

Single-vendor LLM lock-in means an outage or price hike takes the product down with it.

One candidate journey, end to end

01

Apply once

LLM-parsed résumé + GitHub/LinkedIn enrichment build one profile, reused across every role.

02

AI interview

A ~25-min role-calibrated voice interview — proctored, integrity-trapped, graded for substance and fluency.

03

Skills test

Optional written / MCQ / coding / DSA stage, graded automatically — no scheduling, no panel.

04

Hire & pay

Recruiter reviews one scorecard; employer funds escrow milestones and releases payment on delivery.

See a real interview, scored live

Spin up a role, run the AI interview, and watch the scorecard, proctoring verdict, and integrity check land in the recruiter panel.