An interview co-pilot that listens for the moments your memory can't hold. Every score backed by a verbatim candidate quote. Built for hiring decisions that have to hold up later.
We'll send a tailored quote within one business day. No spam — your details only get used to follow up about Jedah.
Was it the right one? Hiring managers forget specific quotes within hours. Two interviewers rarely score the same candidate the same way. And polished candidates — including those reading from ChatGPT — pass as competent.
of interviewers can't recall their candidate's specific answers 48 hours later.
variance in candidate scores between interviewers using the same rubric.
technical candidates now read responses verbatim from an LLM mid-interview.
Jedah runs alongside your Zoom call. The candidate sees a clear disclosure. The interviewer sees a live side panel. The AI drafts; the human decides.
Every candidate answer is matched to one of 17 rubric rows — Lou Adler's 10-Factor model plus the 7 Human Potential dimensions. Each draft score comes with a verbatim candidate quote you can audit on the spot.
Paste a resume or LinkedIn profile before the call. Jedah maps every role to its company's stage at the time the candidate worked there, builds a career-timeline chart, and predicts whether they thrive in early-stage chaos or enterprise scale.
Transparent heuristic detector flags when a candidate's answer reads like ChatGPT output — no disfluencies, listicle structure, formal connectives, anonymous pronouns. A probe trigger, not a verdict.
Every word, attributed to interviewer or candidate. Exportable for hiring-committee review, compliance audits, or post-mortem on a bad hire. The recording you wish you'd taken — without the work.
Jedah sits in the seat where the hiring decision actually gets made — whoever that is on your team.
Stop relying on hiring-manager memory. Every interview produces a fully attributed transcript and a structured rubric ready for the hiring committee. Calibration across interviewers stops being a hope and becomes a measurable outcome.
Stay present in the conversation. Jedah handles the notes, watches for the kind of answer that's actually from ChatGPT, and surfaces a follow-up question when the candidate skirts the one you asked. Your job is the human read; Jedah handles the record.
Hire your first ten people without a recruiting team. Jedah enforces a consistent rubric across every interview a founder runs, and predicts whether a candidate's career arc matches the stage you're hiring for — before you spend the cycles.
Real audit trails for every interview. Jurisdiction-aware consent disclosures (BIPA, CCPA, NYC LL144, EU GDPR + AI Act) and exportable evidence-linked scores make compliance review actually possible instead of a self-attestation.
Jedah doesn't invent a new theory of hiring. It operationalizes two established frameworks from leaders in the field — and gives every score an evidence trail.
The performance-based interviewing standard adopted by Adler Group clients including LinkedIn, Disney, and General Motors. Energy, Trend of Growth, Comparability of Past Accomplishments (SMART), Experience, Problem Solving, Talent, Management, Leadership, Character, Fit.
Seven dimensions distilled from two decades of executive assessment work. Intelligence, Intention, Persona, Values, Context, Discipline, and Skill. Treats Intention as the most predictive — what someone deeply wants, not what they can do.
An AI interview tool only works ethically when the candidate knows it's running. Jedah is built that way from the foundation — not bolted on for compliance.
An in-meeting disclosure with jurisdiction-aware copy (BIPA, CCPA, NYC LL144, EU GDPR + AI Act). The call doesn't start until they click. The interviewer can't disable the consent gate.
Every AI score is a draft. Interviewers override with one click. The exported rubric keeps both columns. No candidate is auto-rejected by Jedah. Ever.
No facial analysis. No emotion detection. No voice-stress monitoring. Jedah scores answers, not bodies. The literature on those signals is bad, the legal exposure is worse, and the ethics are not defensible.
Every flag and score links to a quoted moment in the transcript. No "the AI says this candidate is a 3" without showing why. If the evidence isn't visible to the candidate's lawyer, it's not evidence.
Tell us how many interviews you run a month, who your hiring team is, and what you're hoping Jedah does for them. We'll come back within one business day with a tailored proposal.
Those are general meeting tools. Jedah is purpose-built for hiring interviews — the rubric, the consent flow, the AI-reading detection, the career-stage analysis. It's the difference between a meeting transcriber and a co-pilot that knows what an interview is for.
Audio passes through Deepgram for transcription. Scoring uses Anthropic Claude. Neither vendor retains data beyond their default API window (Anthropic 30 days, Deepgram 0 days by default). Jedah keeps an audit log for 90 days for hiring-compliance review, then deletes. US-East hosting. No third-party analytics or ad pixels.
Yes — when used as designed. The candidate consents before recording starts; that handles two-party-consent laws (CA, IL, MA, PA, WA, etc.). For NYC Local Law 144 on automated employment decision tools, Jedah is positioned as a decision-support tool, not a decision-making tool — the interviewer still scores. The product surfaces the right disclosure copy based on the candidate's location.
When the call opens, they see a clear disclosure: "This call is being recorded, transcribed, and analyzed by AI to assist the interviewer. The AI assists scoring; it does not make the hiring decision." If they decline, the AI never starts. If they consent, the interview proceeds normally. Most candidates appreciate that interviewers are being held to a more structured standard.
Request a quote. Tell us your interview volume and team size, we'll come back within one business day with a tailored proposal and a setup walkthrough.
Per-seat per month for each interviewer, with volume discounts for larger teams and annual commitments. Exact rate depends on your team size and integration needs — that's what the quote covers.