Early access

Interviews you can
actually defend.

Rubric runs candidates through an adaptive AI interview and turns it into evidence-linked, calibrated, auditable scores โ€” with a human making the final call. Not a black box that decides who gets hired.

Get early access See how it works

Scoring you can stand behind

A coding widget is a commodity. The hard, valuable part is an evaluation that's fair, defensible, and holds up to scrutiny. That's what Rubric is built around.

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Rubric-anchored

Every answer is scored against explicit criteria with worked anchors โ€” not a vibe. Two candidates are actually comparable.

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Evidence-linked

No score without proof. Each rating cites the exact moments in the transcript it's based on, so any decision is inspectable and contestable.

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Bias-tested

The judge is continuously checked for bias โ€” the same answer, varied only by an irrelevant signal, must score the same. Fails the check, it doesn't get used.

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Adaptive

Questions adjust to the candidate โ€” deepen where they're strong, ease where they're not โ€” to find real signal fast, without repeating.

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Human in the loop

The AI produces evidence; a person makes the call. Clear cases fast-track; the close ones route to a human, who can override with a logged reason.

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Auditable

Every session is an append-only record tied to a rubric version. Replay it, contest it, or hand it to an auditor. Built for regulated hiring.

The AI's output is evidence for a decision โ€” not the decision. A person always makes the call, and every score can be traced back to what the candidate actually said.

Two sides, one engine

The same evaluation core serves candidates sharpening up and companies screening in.

For candidates

Practice that actually teaches

  • Adaptive mock interviews that meet you at your level
  • Feedback tied to specific things you said โ€” and how to level up
  • Voice or text, on your schedule
  • See the rubric you're being measured against
For companies

Signal you can hire on

  • Configure your own rubrics, rounds, and thresholds
  • Consistent, calibrated scores across every candidate
  • Replay any interview with the evidence behind each score
  • Human ratification + bias audits built in, not bolted on

How it works

Configure once; every candidate runs the same fair, adaptive gauntlet.

Configure the interview

Define the rounds, the rubric dimensions and weights, and where the pass/review/reject lines sit. Scores are versioned to this config.

Calibrate the judge

Before it's trusted, the evaluator is checked against ground truth and tested for bias. A judge that doesn't pass doesn't score real candidates.

Candidate interviews โ€” adaptively

An AI interviewer asks, follows up, and adjusts difficulty to the candidate. Voice or text. Every turn is captured on one timeline.

Evidence-linked scoring

Each rubric dimension is scored with quoted evidence and a confidence โ€” and it abstains rather than guess when the signal isn't there.

A human decides

Clear results fast-track; the ambiguous middle routes to a person, who confirms or overrides with a recorded reason. Fully auditable.

Get early access

We're onboarding a first set of teams and candidates. Tell us who you are and we'll be in touch.

No spam. We'll only email you about early access.  ยท  Or just email us