Latest / Best of Business / Harry Mellsop: Kiwi entrepreneur on his new AI-based startup Antioch
Transcript
- 0:09Speaker 1: You're listening to a podcast from News Talk zed B.
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- 0:16Speaker 2: Right this week, expat Kiwi entrepreneur Harry Melsop has raised
- 0:20Speaker 2: four point three million US dollars for his AI startup, Antioch.
- 0:24Speaker 2: The former Tesla engineer and Stanford University graduate, is part
- 0:28Speaker 2: of a team bringing AI into the physical world. So
- 0:31Speaker 2: Antioch has built a software program that lets companies building
- 0:34Speaker 2: robots test them in real world scenarios. So Harry has
- 0:38Speaker 2: just right back in New Zealand. He joins us to
- 0:40Speaker 2: talk through what he is hoping to achieve. Harry, good morning,
- 0:44Speaker 2: Good morning, How are you good? Thank you hey, talk
- 0:46Speaker 2: me through what you've created here in Layman's terms.
- 0:50Speaker 3: Sure thing, Yeah, So, I mean, you know, at Antioch,
- 0:53Speaker 3: our mission ultimately is to help companies who are building
- 0:58Speaker 3: autonomous systems, whether that's a self driving car or a
- 1:02Speaker 3: robot in a factory or a drone, to sort of
- 1:06Speaker 3: shift all of their validation flows from hardware into pure software.
- 1:11Speaker 3: And so you know, as you can imagine, if you're
- 1:13Speaker 3: building a self driving car, super important to test that
- 1:17Speaker 3: system thoroughly. And so what that means is, you know,
- 1:20Speaker 3: hundreds of thousands or millions of kilometers driven on real roads,
- 1:24Speaker 3: super expensive, you know, the car's breakdown. And so we're
- 1:28Speaker 3: really helping all of those companies move their workflows into
- 1:33Speaker 3: what's basically you can think of it as a really
- 1:36Speaker 3: high fidelity video game engine that really closely models the
- 1:40Speaker 3: real world.
- 1:40Speaker 2: Okay, so what other kind of industries would be using
- 1:44Speaker 2: this technology?
- 1:46Speaker 3: Yeah, so we work with Yeah, so you know, beyond
- 1:48Speaker 3: the autonomous driving space, beyond the drone space, we're seeing
- 1:52Speaker 3: a lot of interest from manufacturing, from logistics. I think
- 1:58Speaker 3: something that's also personally surprised me is a lot of
- 2:02Speaker 3: interest from smart security companies, so you know, smart home sensors,
- 2:07Speaker 3: smart those sorts of applications as well, because you know,
- 2:12Speaker 3: you can imagine for them at testing that that those
- 2:14Speaker 3: devices are properly detecting as they should be is a
- 2:18Speaker 3: high priority too. So there's really quite a wide gamut
- 2:21Speaker 3: of applications there.
- 2:23Speaker 2: I'm assuming that there's a gap in the AI market here,
- 2:26Speaker 2: is anyone else doing this?
- 2:29Speaker 3: Yeah, So what we typically see is that companies who
- 2:33Speaker 3: are trying to make this move into software simulation him
- 2:38Speaker 3: to try and build that capability internally, and so you know,
- 2:42Speaker 3: for example, when when I finished my master's degree, my
- 2:46Speaker 3: first job out of that was at Tesla's autopilot team.
- 2:50Speaker 3: We had a fantastic simulation team there internally, but that
- 2:54Speaker 3: costs tends to hundreds of millions of dollars to kind
- 2:57Speaker 3: of build out within the company, and you know, we
- 3:00Speaker 3: don't think that that's the way it should be, right.
- 3:03Speaker 3: We want to make sure that we're kind of equalizing
- 3:05Speaker 3: the playing field so that newer and smaller startup can
- 3:08Speaker 3: also kind of participate here.
- 3:11Speaker 2: So that's yeah, so quite different industries using this technology,
- 3:17Speaker 2: do you need to then design it? Are you constantly
- 3:20Speaker 2: designing for different specific companies and industries.
- 3:26Speaker 3: Yeah, no, that's a great question. And so I think
- 3:29Speaker 3: there's kind of two parts to how we structure the business.
- 3:33Speaker 3: So the first is that we build the simulation technology
- 3:37Speaker 3: in a very bottoms up fashion, so we add support
- 3:41Speaker 3: for you know, maybe it's motives, or maybe it's cameras
- 3:44Speaker 3: or radars or so on and so forth, and then
- 3:47Speaker 3: that kind of allows us to you know, service a
- 3:51Speaker 3: more diverse stet of customers ultimately, because you can start
- 3:54Speaker 3: to think of all of these different categories, whether it's
- 3:57Speaker 3: a drone, or an autonomous vehicle as a sort of
- 4:01Speaker 3: you know, bringing together of those different foundational technology.
- 4:04Speaker 2: So you've kind of got it sitting there and it
- 4:05Speaker 2: depends on what the client's going to need. You kind
- 4:07Speaker 2: of take that and take that and take that and
- 4:09Speaker 2: put it all together.
- 4:10Speaker 3: Yeah, that's exactly right.
- 4:12Speaker 2: Sure, it's not quite out works at all.
- 4:14Speaker 3: Eric, No, No, that's actually that's pretty accurate.
- 4:18Speaker 2: How big do you think the physical AI industry is
- 4:20Speaker 2: going to be?
- 4:22Speaker 3: Yeah, that's a great question, and it's something that we
- 4:25Speaker 3: have spent a lot of time thinking about before we
- 4:27Speaker 3: started this company. I believe that it's going to be
- 4:32Speaker 3: the largest industry in the world over the next ten
- 4:34Speaker 3: to fifteen years. I think that we you know, we've
- 4:38Speaker 3: seen with the rise of large language models and companies
- 4:42Speaker 3: like open ai, that the world of desk work has
- 4:47Speaker 3: fundamentally changed forever. And I think we're going to see
- 4:51Speaker 3: those same trends playing out in the physical world as well.
- 4:54Speaker 3: And ultimately those industries are really what matters, right, you know,
- 4:58Speaker 3: we need to we need to eat food, you know,
- 5:01Speaker 3: we consume things in the physical world, and so the
- 5:04Speaker 3: scope for impact there is enormous.
- 5:06Speaker 2: So, Harry, what is this funding going to do for you.
- 5:10Speaker 3: Yeah, so we're using it to expand the team out.
- 5:13Speaker 3: We've been building the team primarily in New York City
- 5:17Speaker 3: and so you know, bringing in new engineering staff that
- 5:20Speaker 3: allows us to take on new customers. Currently, we are
- 5:24Speaker 3: an unfortunate position where we're pretty saturated in terms of,
- 5:28Speaker 3: you know, the number of customers that we can kind
- 5:30Speaker 3: of help, so we we pretty urgently need to expand
- 5:33Speaker 3: a little bit there. And then also, you know, the
- 5:35Speaker 3: other surprising piece for us has been the need to
- 5:39Speaker 3: kind of produce content in these simulations. So you know,
- 5:43Speaker 3: if some of our customers have the need for particular
- 5:46Speaker 3: warehouses to be modeled or you know, home environments or whatever,
- 5:50Speaker 3: that looks like we actually need quite a large treaty
- 5:54Speaker 3: artistry capability as well, so bringing some of those folks
- 5:59Speaker 3: into the team.
- 6:00Speaker 2: This isn't your first company. You also founded a company
- 6:03Speaker 2: called Trendspose, which you sold after setting up is anti
- 6:07Speaker 2: arc project that you're really keen to kind of get
- 6:10Speaker 2: up and running and see where it will go and
- 6:12Speaker 2: stick around whether or are you sort of planning on
- 6:15Speaker 2: getting it up and running and selling that as well.
- 6:18Speaker 3: Yeah, it's a good question. Now, I think for us,
- 6:22Speaker 3: we kind of see the opportunity here as being enormous.
- 6:26Speaker 3: You know, I think we're all very aligned on this
- 6:29Speaker 3: idea that this physical AI industry is going to be
- 6:33Speaker 3: world defining over the next ten to fifteen years, and
- 6:35Speaker 3: we think that we're building a product which is, you know,
- 6:38Speaker 3: really very necessary. Everyone who's participating in that space is
- 6:42Speaker 3: going to need a solution like Antioch. So for us,
- 6:45Speaker 3: this is a business that we're going to want to
- 6:49Speaker 3: hold on to and we hope to grow.
- 6:51Speaker 2: Harry, You're most welcome not to answer this question, but
- 6:53Speaker 2: can I ask how old you are?
- 6:56Speaker 3: I'm twenty seven, cry.
- 6:58Speaker 2: Key, Okay, this is your second business, yes, yes, yes, okay.
- 7:04Speaker 2: Oh look Harry, really impressive stuff. Really keen to keep
- 7:07Speaker 2: it on it how it goes. Thank you so much
- 7:09Speaker 2: for your time, Have a lovely Christmas and enjoy your
- 7:12Speaker 2: time back in New Zealand.
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