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Metaview raises $35M to turn recorded interviews into structured hiring data

Source: SiliconANGLE · Jun 25, 2025

Metaview, a London-based interview-intelligence startup, has raised a $35 million Series B led by GV, taking its total funding to roughly $50 million and funding a new San Francisco office. The product sits in the interview itself: it records and transcribes conversations between recruiters, hiring managers and candidates, then writes structured notes and summaries back into the applicant-tracking system so the signal from a live interview does not evaporate into someone's memory or a scribbled note.

The traction numbers are the story — the company reports more than 3,000 customers and over 3 million interviews processed. That is a large, growing corpus of real hiring conversations being turned into structured, machine-readable data as a byproduct of ordinary recruiting work.

This is the same underlying insight the whole multimodal-interview space is converging on: the interview is not just a step in a hiring funnel, it is a dense, high-context recording of how real people reason, explain and respond under mild pressure — some of the most valuable conversational data there is. The open question Metaview's rise sharpens is what happens to all of that captured material downstream. Turning it into anything reusable beyond a single hiring decision runs straight into consent and redaction: the raw recordings are full of names, employers and personal detail, and none of it is safe to reuse until the people in it have agreed and their identifying information has been removed. Capture is becoming easy; doing something responsible with what you capture is the hard part.

Key Points

• London-based interview-intelligence platform that records and transcribes interviews and writes structured notes back into the ATS
• Reports 3,000+ customers and more than 3 million interviews processed to date
• $35M Series B led by GV, bringing total raised to roughly $50M; opening a San Francisco office
• Sits directly adjacent to the multimodal-interview-data thesis: the interview itself becomes structured, reusable data