- Interview analytics startup Metaview has raised $ 6 million in funding.
- The London-based company wants to make interviews more consistent and fair.
- We got an exclusive look at the pitch deck used by the company to raise the new funds.
A startup that developed an AI platform that helps remove bias from the hiring process raised $ 6 million in a funding round.
London-based Metaview enables hiring managers to take a data-driven approach to filling positions instead of relying on intuition, resumes and memory.
Managers can record and transcribe all interviews and tap into analysis that reveals areas where interviewers need to improve. Areas for improvement could be the number of questions that were asked, the way the questions were worded, the time allotted for candidates to speak, the parties’ ability to relate, and the overall structure of the interview.
Individual investigators also receive weekly feedback reports that help identify unconscious biases and suggest improvements. Comments are compared to anonymous and aggregated data from the entire company.
Metaview co-founder Siadhal Magos, who was formerly product manager at Uber, said it was difficult for an organization “no matter how forward-thinking it is, how technologically advanced it is” to improve. systematically interviews due to a lack of data.
Magos has been involved in the hiring process at Uber and said the company has made hiring a “process of central importance” in which operators, builders and engineers are all involved.
âBut the tooling we had meant that in fact we still thought these processes were quite unreliable,â he said.
“You often had hires that didn’t work or people who weren’t the right fit for the team, or we were really excited about a candidate and maybe they didn’t. not accepted the offer. “
In 2016, he teamed up with Shahriar Tajbakhsh, then responsible for engineering at Palantir, and the couple set out to make the maintenance process more rigorous, consistent and fair.
âThere were all of these sub-optimal results from the hiring process that were really different from what we experienced when we were developing a product,â added Magos.
âWe thought we had very good control and oversight of the production process. This is really the big thing that motivated Metaview; this idea of ââ”how do we start to feed the decisions of these people with the same truth that we have when we are building our products?” “
According to the startup’s own data, women have 12% less talk time than men, while a quarter of recruiters ask less than five questions per candidate.
It can only identify potential gender and ethnicity biases if the client provides data on applicants and does not predict the demographics of an interviewee.
The perfect place for Metaview is in high growth companies whose executives cannot be present for interviews and have a workforce of around 200 to 5,000 people – “where you are beyond the everyone scenario. to know each other”.
Its current client base includes top-tier trading platform Robinhood, drone company Anduril, start-up job site AngelList, and sports analytics company Hudl. Its main competitors are in-house maintenance solutions, Magos said, although they “tend to be pretty analog processes.”
The new money brings Metaview’s total raised to $ 7.6 million, following a pre-seed round.
It will be used to increase the workforce from 10 to 30 through 2022 with roles in products and sales, and cement its presence in Europe and the United States.
The cycle was led by early stage investors Vertex Ventures US, alongside automation specialists Fly Ventures, Seedcamp, Village Global and PrimeSet. Moving Capital and Palumni, the respective funds of alumni Uber and Palantir also participated in the round.
Check out the Metaview pitch deck used to attract investors below.