Interview everyone.
Hire someone.
From JD to offer in one workspace — six AI agents screen every résumé, run every interview, draft every offer. Every model decision replayable for seven years.
Score the fit. Verify the claims.
Every résumé is scored against the role's requirements, then cross-checked against publications, work history, and GitHub commits — every score cites the source.
Scorecard
- Domain depth25% · 4.2
- Structured reasoning25% · 3.8
- Communication clarity20% · 4.0
- Role-fit signals15% · 3.6
- Edge-case handling15% · 3.4
- IWalk me through the last system you scaled past 10k QPS.
- CThe ingest pipeline; we hit a fan-out problem in the queue layer.
- IHow did you measure the bottleneck before changing topology?
- CPer-shard latency histograms plus a synthetic load harness.
- IAnd the change you actually shipped?
- CCo-located the consumer with the partition leader to drop hops.
- IWhat surprised you in the rollout?
- CTail latency moved before mean did — by about ten minutes.
- IDid you instrument that gap on purpose?
- CNo, the harness exposed it after the fact.
- IWhat would you do differently next time?
- CWire the harness output into the rollout gate from day one.
Trusted by recruiting teams shipping audit-grade hiring
Voice interviews
Probe deeper on every weak answer.
Phone or Zoom — when an answer goes vague or rehearsed, the agent asks the next question, and the next, until the rubric criterion is actually answered. Every follow-up is logged in the transcript with the rubric line it tested.
Transcript · live
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From résumé to hire
Agents do every step. You see every step.
One pipeline, one candidate, one audit trail. The agent parses the résumé, scores it against the JD, cross-checks publications and GitHub commits, conducts the live voice interview, evaluates the transcript into a scorecard, ships a sandboxed coding challenge to qualifying candidates, and routes to the recruiter for sign-off — each step model-versioned, prompt-versioned, and replayable seven years later.
- 01Résumé parsedimap · 12 KB · 0.42st+0:00
- 02Matched against JDSonnet · score 82 · 0.6st+0:01
- 03Delivery verifiedGitHub + web · 5 claims · 1mt+0:03
- 04Live interviewvoice · 38 turns · 45mt+0:48
- 05Scorecard4.2 / 5 · 5 criteriat+0:50
- 06Coding challengesandbox · 60m · GitHub repot+1:50
- 07Hiring decisionrecruiter · pass · readyt+2:00
Audit-grade by default
Hiring you can replay.
Compliance regulators accept.
- 5 frameworks covered
- SOC 2, GDPR, PIPL, Singapore PDPA, and ISO 27001 — out of the box.
- 7-year replay
- Every model decision and human action is stored for the maximum compliance retention window.
- 100% scored
- Every résumé in the queue gets the same scorecard treatment, with citations to the source.
- Zero hidden steps
- Every agent action is logged and reviewable in one trace — no opaque calls between agents.
Regulator coverage
- NYC Local Law 144§20-871Passing2026-04-22
- EU AI ActArt. 50, Annex IIIPassing2026-04-22
- GDPRArt. 22 · Art. 30Passing2026-04-21
- Singapore PDPAPart III · §13Attested2026-04-19
Compliance dashboard
Watch four regulators at once.
Every interview ships through the same matrix: NYC Local Law 144, EU AI Act, GDPR, Singapore PDPA. The dashboard shows the current pass state, the clause it maps to, and the last audit timestamp — for every region you operate in.
100 interviews. 100 offers. My team isn't burned out anymore.