Metaview, an AI assistant that helps teams eradicate admin and toil from their hiring process, has raised €6.4 million in a funding round led by Plural. Coelius Capital and existing investors Vertex Ventures US, Seedcamp, Village Global, as well as notable angels including Kyle Parrish (Figma VP of Sales), and Barney Hussey-Yeo (Cleo co-founder) also participated.
The funding will be used to accelerate product development and grow the team, including tripling the engineering team over the next 18 months, to build more impactful features to serve Metaview’s growing customer base.
Metaview was founded in 2018 by former Palantir and Uber product and engineering managers, CEO Siadhal Magos and CTO Shahriar Tajbakhsh, to transform hiring. The AI platform helps companies make business-critical hiring decisions better and faster by focusing on improving the most opaque part of the process: the interviews.
Siadhal Magos, CEO at Metaview said: “Hiring is driven by human-to-human conversations, yet before now it’s been impossible to capture and operationalize the data from these crucial interactions. With Metaview, thousands of companies are turning to our AI-native platform to harness this data, save time on busy work, and apply the insights we create to help their teams hire the right candidates. We’re delighted to be partnering with Plural to drive our next phase of growth and help more companies radically enhance their hiring workflows and decisions.”
Hiring decisions are among the most important a company has to make yet the process hasn’t evolved for decades. Taking interview notes and writing up feedback wastes valuable time and detracts from the quality of conversation, whilst decisions lack objectivity, and bad hires are all too common despite the fact they can cost companies three times the salary for the role. Metaview is applying AI to transform this and drive efficiency at scale.
The platform leverages AI to capture conversations throughout the recruitment process to create a single source of truth for hiring teams. By recording and analyzing to generating objective summaries, indexed by key topics, Metaview is reducing the administrative burden of interviewing through automation and already saving teams at least 20 hours per hire. This allows recruiters and hiring managers to focus on quality interactions with candidates and make informed, objective decisions based on data, not just memory.
Metaview’s approach is possible now due to the vast improvement in the capabilities of Large Language Models (LLMs), which Metaview has fine-tuned to gather insights from within the hiring conversations themselves. This data is then integrated into existing workflows, streamlining hiring processes, and helping teams make better decisions. It’s this focus on quality and efficiency that has seen Metaview support leading brands such as Brex, Quora, Pleo, and Improbable with their global hiring practices. Over the past year, Metaview’s customer base has grown 2000% within an AI HR tools market expected to grow to $6.18bn in 2024.
Shahriar Tajbakhsh, CTO at Metaview, commented: “I’m ecstatic to team up with Plural as we continue to reimagine the recruiting ontology from first principles. By placing conversations at the nucleus of our platform, we’re leveraging state-of-the-art AI to operationalize the latent context within these interactions. This enables us to build AI agents that augment and automate hiring workflows in ways previously unimaginable.”
Khaled Helioui, Partner at Plural, added: “Hiring decisions are critical to the success of any business, but for decades this crucial step has been ignored by technology. Siadhal and Shahriar, having honed their skills at Uber and Palantir, notorious for setting new standards of excellence in terms of recruiting, are uniquely positioned to change this dynamic. Metaview is making recruitment decisions better, faster, and more objective. In doing so, it’s creating improved outcomes and contributing to more equitable workplaces by removing some of the pervasive biases that clog most hiring processes.”
