Metaview is a UK HRtech platform that records and analyses hiring conversations to close the loop between what hiring managers look for and what candidates actually say. Its AI tools capture, structure and surface interview context in real time so recruiters and hiring managers operate from the same information. The product suite includes AI Notetaker, AI Reports, AI Answers and AI Job Posts to standardise notes, generate reports, answer process questions and create job descriptions. Teams using Metaview can compare what candidates actually said with role scorecards to add objectivity, consistency and insight to hiring decisions. The company has recorded more than three million interviews to date, which it uses as the basis for its analytics and agents. Financially, Metaview has just completed a $35M Series B round led by GV. Metaview provides an AI note-taker built specifically for the hiring process, capturing, analyzing and summarizing interview conversations so recruiters and hiring managers can be more present. The platform integrates with phone systems, videoconferencing platforms and scheduling tools like Calendly and GoodTime, and enriches conversation data with applicant tracking systems. Metaview stores conversation data for two years by default and its founders say the models are trained on diverse data to perform on recruitment workflows. The company reports 500 client companies, including Brex, Quora, Pleo and Improbable, and says it has grown 2,000% year-over-year. Founders Siadhal Magos and Shahriar Tajbakhsh previously worked at Uber and Palantir and launched the product to reduce interviewing toil and surface relevant moments from conversations. The startup plans to use new funding to expand product and engineering, triple those teams, fine-tune its conversation synthesis engine and build systems to detect inconsistencies and candidate disengagement. Metaview is a London-based interview-intelligence startup founded in 2018 that offers transcripts, analytics, and automated training tools to make interviewing more objective and consistent. The product targets interviewers and hiring teams, aiming to reduce bias and improve hiring quality. Early adopters include Robinhood, Anduril, AngelList, and Hudl. The company says standardised, data-driven interview processes lead to better hires and fewer lost candidates. Metaview will use new capital to further develop the product, triple its team in 2022, and support expansion across Europe and the US. Since founding, Metaview has raised $7.6 million in total.

Total raised

$48M

Funding rounds

3

Latest round

Series B

Latest activity

Jun 2025