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Metaview is an AI notetaking and interview intelligence platform built specifically for recruiting teams, automatically joining and recording interview calls to produce structured notes and summaries, freeing interviewers from having to divide their attention between actually engaging with a candidate and typing notes throughout the conversation. After an interview, Metaview generates a structured summary organized around the specific competencies or questions a company's interview process is designed to assess, which gives hiring teams a much more consistent and comparable record across candidates than the inconsistent, interviewer-dependent notes most companies rely on to make hiring decisions. Its analytics surface patterns across a company's interview process, such as which interviewers ask which questions, how interview length correlates with candidate outcomes, and where a hiring process might be introducing bias or inconsistency, giving talent acquisition leaders visibility into interview quality that's usually invisible without this kind of aggregated data. Metaview integrates with common applicant tracking systems, so interview notes and summaries flow directly into a candidate's existing record rather than living in a separate disconnected tool that recruiters have to check independently. It's aimed at recruiting and talent teams at growing companies who want to run a more consistent, data-informed interview process without adding manual note-taking and summarization work on top of an already demanding recruiting workload.