Everything we get asked over and over. Email hello@jedah.ai if your question isn't here — we'll answer and add it.
Two ways: start a 14-day free trial on any paid tier (no credit card required), or talk to sales for Enterprise. Trial workspaces are pre-seeded so you can see scoring + analysis running on day one.
Trial workspaces ship pre-seeded with four real interview transcripts, AI scoring already run, career charts populated, three sample JDs, the calibration view, and the training corpus ready to learn from your hires. You can start running real interviews on day one.
Self-signup takes 60 seconds. Connecting Slack + Google Calendar takes another 2 minutes. Greenhouse / Lever / BambooHR integrations are paste-an-API-key. Total from $0 to first scored interview: about 10 minutes.
ATSes track candidates through your pipeline. Jedah evaluates them. We integrate with Greenhouse, Lever, and BambooHR, not replace them. Think: ATS is the system of record; Jedah is the intelligence layer.
Yes — the pipeline, candidate analysis, scheduling, and reference check flows work standalone. Live interview AI requires Zoom (or Google Meet + Microsoft Teams once those integrations ship). For in-person interviews, the interviewer can paste notes after and get the same scoring.
By default, Lou Adler's 10-Factor model + Dennis Wood's Human Potential Framework. You can customize per role — generate a rubric from a JD with one click, or build one from scratch. Every dimension's weight is adjustable.
Honest answer: it depends on how much of your team's interview data we've seen. Out of the box, AI scoring matches what an experienced interviewer would say in 70-80% of cases. After 6 months of feedback (you mark hires good_hire_6mo / bad_hire_6mo), it matches your most-experienced interviewer in 90%+ of cases. The training corpus is what makes it sharp.
Yes — the probe-response score flags when an answer is suspiciously polished or templated, especially when follow-up questions can't get past the talking points.
Per-seat punishes you for involving your team. Hiring is a team sport. Flat means inviting your CEO + your engineering lead + your recruiter doesn't cost more.
$4,999/mo or $49,990/yr. Includes unlimited interviewers, unlimited candidates, unlimited LinkedIn imports, custom rubric training, SSO + audit logs, dedicated CSM, 99.9% SLA. See /pricing for the full list.
Yes — the first ten customers get 50% off any tier for their first year in exchange for case studies + product feedback. Email sales@jedah.ai.
US-East by default (Fly.io infrastructure). EU + Canada regions on the 2026 roadmap. See /security.
No public model is trained on your data. We pass interview transcripts to Anthropic Claude (zero-retention API endpoint) for scoring, then store the score + your data in your workspace. Your workspace's own training corpus stays in your workspace.
We don't scrape — we use Bright Data, a licensed-data partner with court-tested legal posture (Bright Data v. Meta, 2024). For Enterprise, we're also pursuing LinkedIn's official Recruiter System Connect (RSC) partner program for direct LinkedIn API access.
SOC 2 Type I audit in progress (Q2 2026 target). GDPR / CCPA / BIPA / NYC LL144 compliance for jurisdictions where we currently operate (US + Canada). Full breakdown at /security.
On the roadmap, behind BambooHR which shipped first. If you need one of these to commit, tell sales — it accelerates the build order.
Yes — REST API at app.jedah.ai/api with full CRUD on candidates, interviews, employees, JDs, rubrics. Docs at /docs.
Yes — outgoing webhooks on candidate.created / interview.completed / outcome.set / employee.created, so you can plug into Asana, Linear, Notion, or anything custom.