00:00:00 · Sebastian Johnson, Siadhal Magos
[00:00:00] S0: Hello, and welcome back to Scaling Europe show. I'm Seth Johnson. Today on the show, we've got Metaview, cofounder and CEO, Siad, with some very exciting news. What's going on? Take it away. [00:00:09] S1: Yeah. I mean, pumped to announce we raised another round of fundings. We raised $60,000,000 led by Insight Partners, joined by other folks like Intrepid, Growth Partners, GV, Google Ventures, Seed Camp, Plural, yeah, a bunch of our favorite people. So, yeah, excited to to get back to building and, yeah, pumped to be on the show as well. Thank you. [00:00:29] S0: It's an amazing, roster of investors and just over a year after your last kind of fundraise. So so tell me, like, what... What's happened? You know, what has happened in between this round and your series b that has enabled this, that has got a bunch of new investors excited?
00:00:44 · Siadhal Magos
[00:00:44] S1: I think there's a bunch of things that have happened, you know, in the world where people are increasingly understanding that, we're moving to a future where AI does most of the work. Right? That doesn't necessarily mean humans do less work, to be clear, but definitely most... More work's gonna get done, and a lot of it's gonna get most of it's gonna get done by AI agents. That's, like, really clear to anyone that's living on the on the frontier. And what that... What... How that specifically sort of manifested for us is about a year ago, we we had a bunch of traction, and then we raised our series b off of that. And the sort of the story was, listen. We've got this point solution that is making our customers very successful around how they essentially manage the data from within their hiring conversations. But that's always for us been the start of the... Almost the baseline for a platform, and we actually think this is the most important context for other agents to be able to help you with recruiting. So for example, if you wanna have the... Of the best sourcing agent on the planet, it's gonna have to have access to the candidates you then speak to to... In order to get better over time and monotonically improve and get smarter. And the same thing for every other part of the recruiting journey is better informed if it has access to the conversational data. So that was what we were saying a year ago. Now we could sort of prove that because we have this... The the rest of the suites of agents on our platform, and they are indeed the most accurate and most trusted agents that you can get in recruiting because they know all the things that you know. And so that's really what's changed for us in the last year is Metaview has come... Become this sort of broader, agentic recruiting platform. Obviously, we've also grown far... Grown quickly and, you know, serving a lot more customers and, you know, on larger contracts and all those those those things that sort of show you're having more impact. But that's really what's changed for us in the last year and what we're sort of committed to pushing through on over the the next few years.
00:02:27 · Sebastian Johnson
[00:02:27] S0: So you've built this almost proprietary dataset. Can you talk about how big that is? Like, how many, I don't know, conversations you've had?
00:02:33 · Siadhal Magos
[00:02:33] S1: Yeah. It's it's it's... There's like a bunch of ways to... Conversations is one of the sort of sets of data, like the proprietary dataset we have for sure. Although, again, would I would make it really clear. The conversational data is our customer's data. We are... What we do is we have the... We process it. We have the the the the the the tools and the harness and the agents that work on top of it in really effective ways, but it is our customer's data at the end of the day. So it's more like it's more like they're making better use of their proprietary data, and they do that for Metaview. We get about five, 6,000,000 conversations, all hiring conversations per year through the platform. We have obviously millions and millions of interactions with our agents either to analyze those conversations or to source candidates based on some of the data from those conversations or to review applicants. So it's really hard to sort of put in... Put a number on, like, how many agent interactions you have. But, essentially, it's this very unique... Put it this way, intelligence is becoming abundant. Right? It's very clear that models are gonna get smarter and smarter over time. They're also getting faster and faster over time. In fact, the iteration cycle on the models, like, I sometimes struggle to keep up with Yeah. You know, the the the time between, like, Soul and Astra was very short. Right? So, obviously, the intelligence is getting better and better all the time, enough beyond us. What's getting... What that does is the thing that's scarce becomes more valuable, and the thing that's scarce for an organization that's trying to win is their own proprietary data. Right? No one else has that, and that's... So it's naturally, by definition, scarce. And so how you make use of that data becomes the the game. And you start to think about as an organization, and we obviously think about this on our customers' behalf, how can we produce more scarce proprietary data? And you wanna do that by taking ownership of how... You know, if I have a 100 or a thousand or 10,000 people in my organization, I wanna understand the interactions they're having with the AI agents in our system, and I wanna use the the learnings from all of those interactions to make everyone in the company better at work. In our case, it's the work of hiring. But...
00:04:27 · Siadhal Magos, Sebastian Johnson
So, really, there's data from, like, every corner of the hiring process. It's not just the conversations. [00:04:33] S0: Yeah. That's interesting. And and so now you've built this much broader platform, I guess, and now that you've you've raised this round, you've done a bit of international expansion. What... What's next? You know? Is it is it more product development? Is it more expansion? What are you gonna use this new kind of chest of cash to do?
00:04:48 · Siadhal Magos
[00:04:48] S1: It's gotta be both. I I... And I... We've always been... Much as we're... You know, we started in Europe. I'm based in London. We've always been... We've been global from the outset. I would say many of our even early customers were based in The US, so it's been international expansion from a boots on ground perspective, but we've always had about 50, 60% of our revenue from The US, and that's... Gets... Continues to be the case. We opened up a San Francisco office last year. We're opening up a New York office now. Basically, we opened up a a couple of weeks ago. So there is, like, definitely boots on ground and meet customers where they are with this, you know, transformational technology. But, yeah, the the the the the real key is I sort of feel in many ways to build a world class AI first company. A lot of it is actually about the always on figuring it out. Because as I mentioned, the models are actually changing all the time, and even user expectations around how they are willing to or want to interact with AI is changing all the time. And you sort of need to be in the game and have your fingers on the dials as as maximally as possible in order to actually figure out what's next. And so those are the two focuses for us. We're scaling what clearly... You know, we have a we have a product or a platform whose time is now, and at the same time, there are new capabilities that are emerging that we need to make sure we figure out before anyone else. And the way we solve for that is by, obviously, building a world class team in order to to figure those things out, and that's the the... That's essentially what we're doing with the cash. I mean, there's also a bunch that we can do to spread the word about Metaview, which is really good fun as well. We're... I think our marketing team is absolutely nailing it at the moment and getting the word out in really sort of evocative and fun ways. So that's a that's a that's a bit of fun use of the cash as well.