Siadhal Magos and Shahriar Tajbakhsh had been working at Uber and Palantir, respectively, once they each got here to the conclusion that hiring — significantly the method of interviewing — was changing into unwieldy for a lot of company HR departments.

“It was clear to us that an important a part of the hiring course of is the interviews, but in addition probably the most opaque and unreliable half,” Magos informed For Millionaires. “On high of this, there’s a bunch of toil related to taking notes and writing up suggestions that many interviewers and hiring managers do all the pieces they’ll to keep away from.”

Magos and Tajbakhsh thought that the hiring course of was ripe for disruption, however they wished to keep away from abstracting away an excessive amount of of the human factor. So that they launched Metaview, an AI-powered note-taking app for recruiters and hiring managers that information, analyzes and summarizes job interviews.

“Metaview is an AI note-taker constructed particularly for the hiring course of,” Magos mentioned. “It helps recruiters and hiring managers focus extra on attending to know candidates and fewer on extracting knowledge from the conversations. As a consequence, recruiters and hiring managers save a ton of time writing up notes and are extra current throughout interviews as a result of they’re not having to multitask.”

Metaview integrates with apps, telephone programs, videoconferencing platforms and instruments like Calendly and GoodTime to routinely seize the content material of interviews. Magos says the platform “accounts for the nuances of recruiting conversations” and “enriches itself with knowledge from different sources,” reminiscent of applicant monitoring programs, to focus on probably the most related moments.

“Zoom, Microsoft Groups and Google Meet all have transcription in-built, which is a doable different to Metaview,” Magos mentioned. “However the info that Metaview’s AI pulls out from interviews is way extra related to the recruiting use case than generic options, and we additionally help customers with the following steps of their recruiting workflows in and round these conversations.”

Picture Credit: Metaview

Actually, there’s lots improper with conventional job interviewing, and a note-taking and conversation-analyzing app like Metaview might assist, at the least in concept. As a bit in Psychology Right this moment notes, the human brain is rife with biases that hinder our judgement and choice making, for instance an inclination to rely too closely on the primary piece of data provided and to interpret info in a manner that confirms our preexisting beliefs.

The query is, does Metaview work — and, extra importantly, work equally effectively for all customers?

Even the most effective AI-powered speech dictation programs undergo from their very own biases. A Stanford research confirmed that error charges for Black audio system on speech-to-text providers from Amazon, Apple, Google, IBM and Microsoft are nearly double those for white speakers. One other, more moderen research revealed within the journal Pc Speech and Language discovered statistically vital differences in the way two leading speech recognition models treated speakers of various genders, ages and accents.

There’s additionally hallucination to contemplate. AI makes mistakes summarizing, together with in meeting summaries. In a latest story, The Wall Avenue Journal cited an occasion the place, for one early adopter utilizing Microsoft’s AI Copilot device for summarizing conferences, Copilot invented attendees and implied calls were about subjects that were never discussed.

When requested what steps Metaview has taken, if any, to mitigate bias and different algorithmic points, Magos claimed that Metaview’s coaching knowledge is various sufficient to yield fashions that “surpass human efficiency” on recruitment workflows and carry out effectively on fashionable benchmarks for bias.

I’m skeptical and a bit cautious, too, of Metaview’s strategy to the way it handles speech knowledge. Magos says that Metaview shops dialog knowledge for 2 years by default except customers request that the information be deleted. That looks like an exceptionally very long time.

However none of this seems to have affected Metaview’s means to get funding or clients.

Metaview this month raised $7 million from traders together with Plural, Coelius Capital and Vertex Ventures, bringing the London-based startup’s whole raised to $14 million. Metaview’s consumer depend stands at 500 firms, Magos says, together with Brex, Quora, Pleo and Unbelievable — and it’s grown 2,000% year-over-year.

“The cash can be used to develop the product and engineering staff primarily, and provides extra gas to our gross sales and advertising and marketing efforts,” Magos mentioned. “We’ll triple the product and engineering staff, additional fine-tune our dialog synthesis engine so our AI is routinely extracting precisely the correct info our clients want and develop programs to proactively detect points like inconsistencies within the interview course of and candidates that look like dropping curiosity.”