A Metaview alternative that conducts the interview, not just notes it

A notetaker rides along with an interview a human is already running. It listens, transcribes, pulls out the parts that map to your scorecard, and saves the interviewer the twenty minutes of writing up afterward. Metaview does this well, and interviewers who use it genuinely do stay more present in the conversation.

An AI interviewer removes the interview from your calendar instead. The agent asks the questions, hears the answer, decides where to probe, scores each response against anchored criteria and hands back a ranked shortlist. The saving is different in kind: a notetaker gives an interviewer their write-up time back, while an interview agent gives them the whole hour back. For a first-round screen repeated forty times a week, that difference compounds fast.

Metaview publishes pricing for its sourcing agent: a free tier covering the first 100 profiles sourced, Pro at 100 dollars per user a month, and Max at 300 dollars per user a month, with enterprise volume quoted separately. The full agentic recruiting platform, which bundles sourcing, application review, notes and reports, is custom priced. Figures verified against metaview.ai in July 2026.

The structural difference is per-seat versus per-volume. Per-user pricing scales with how many recruiters and hiring managers you have, which suits a copilot every interviewer uses. InterviewAgent.ai prices by interview volume instead, from 149 dollars a month, because the agent is doing the interviews rather than assisting people who do. If your problem is too many candidates and not enough interviewer hours, volume pricing is usually the cheaper shape.

Yes. Every interview the agent conducts produces a full transcript, highlighted moments, and a rubric score with the supporting answer attached to each criterion. The output looks a lot like what a good notetaker produces, with one difference that matters for evidence: the questions were identical for every candidate on the req, so the notes are actually comparable rather than a record of forty different conversations.

That comparability is what a bias audit and a discrimination claim both ask for. Our candidate interview scoring page explains how the rubric levels are anchored, and AI hiring compliance covers the records US rules expect you to hold.

Plenty of teams should. They cover different rounds. Let the interview agent run the structured first-round screen so nobody spends an hour on a candidate who was never going to fit, and keep a notes copilot on the later human rounds, where a hiring manager and a panel really are the right people in the room and note-taking is the friction.

The one thing worth avoiding is buying a notetaker to solve a screening capacity problem. Better notes on interviews you did not have time to run does not clear the queue. If the constraint is calendar hours in round one, the fix is at that round, which is the case our first-round interview screening page makes in full.