Latest / The Paul Barron Crypto Show / Will $OVR Win War Against Google & Niantic?🔥INTERVIEW Diego Di Tommaso

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Will $OVR Win War Against Google & Niantic?🔥INTERVIEW Diego Di Tommaso · The Paul Barron Crypto Show

0:06
Speaker 1: Spacial mapping will continue to be one of the hot
0:08
Speaker 1: items around blockchain, and of course some of the big
0:10
Speaker 1: companies that are starting to move in this space. We
0:13
Speaker 1: want to define for you and maybe give you an
0:15
Speaker 1: outlook going forward. I think you guys will like this one.
0:17
Speaker 1: My name is Paul Barren. Welcome back in the tech path.
0:20
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Speaker 1: below for an additional discount. All right, so let's get
0:45
Speaker 1: into it today. We will have a special guest joining
0:47
Speaker 1: us today and really talking about where blockchain is going.
0:52
Speaker 1: And there's a handful of projects that because of what
0:55
Speaker 1: we've seen with advancement in technology, primarily from some of
0:59
Speaker 1: the giants, some of these projects are starting to get
1:02
Speaker 1: challenged and I think this is a good a good
1:05
Speaker 1: outline to get to remember that we did a tweet
1:09
Speaker 1: not too long ago and it was talking about the
1:12
Speaker 1: spatial mapping explosion. Now some of the ones that you
1:14
Speaker 1: see in here is Hive Mapper, a Finn etc. And
1:19
Speaker 1: then of course over which is who's going to be
1:21
Speaker 1: on the show today talking about this? And the reason
1:24
Speaker 1: we want to break this down is because there's a
1:25
Speaker 1: lot happening in this area and spatial mapping is getting
1:29
Speaker 1: ready to see an explosion of use case possibly by
1:33
Speaker 1: some of the biggest companies out there. And I want
1:35
Speaker 1: to go to a recap of what happened at AWE
1:39
Speaker 1: just to kind of give you guys a framework of
1:41
Speaker 1: this and why it matters to blockchain. Take a look.
1:44
Speaker 2: Photoallistic stunning detail and you can now scan process on device,
1:49
Speaker 2: so it's a game changer.
1:51
Speaker 3: And yesterday we launched Niantics Studio. Nietiks Studio is a
1:55
Speaker 3: visual editor and a major evolution over the eighth Woll
1:58
Speaker 3: code editor.
1:59
Speaker 2: Hella Dot a mixed reality experience based off of Para
2:02
Speaker 2: dot or you have the kind of magic of interacting
2:05
Speaker 2: with the magical creature in your very own space.
2:08
Speaker 3: We created this demo based on land the lightship, multiple
2:11
Speaker 3: people seeing the same thing at the same time.
2:14
Speaker 4: Cross platform. You got to build for the future. We're
2:17
Speaker 4: only getting started, all right.
2:20
Speaker 1: So, in case you're not aware, Niantic one of the
2:22
Speaker 1: behemoths backed by Google, Hivemapper was the other one, one
2:27
Speaker 1: of the other projects that we thought, well, okay, this
2:29
Speaker 1: could be another opportunity. And remember hive mapper is mapping
2:32
Speaker 1: roads and thorough ways, et cetera. But they did have
2:36
Speaker 1: a little bit of a setback here recently. So they're
2:38
Speaker 1: trying to get in some major fleet platforms, which is
2:41
Speaker 1: going to slow down their B dash camp capability, and
2:44
Speaker 1: that is a big deal with the product really scheduled
2:47
Speaker 1: to be adjusted slightly, which simply means I think is
2:50
Speaker 1: code for probably not this year now. Granted I'd love
2:54
Speaker 1: to hear from Ariel if that is not the case,
2:56
Speaker 1: but the B dash cam is a pretty big device
2:58
Speaker 1: because it could open it up up to a lot
3:01
Speaker 1: of people, and I think that's a big hit for
3:04
Speaker 1: what we'll see with hive Mapper, one of the companies
3:07
Speaker 1: that we have been following for a while that we
3:09
Speaker 1: really liked. Kind of changed my position on them over
3:14
Speaker 1: this interview right here, I want to show you a
3:16
Speaker 1: clip from it. Let's take a look.
3:18
Speaker 2: So Niantik, it's the company behind Pokemon Go. Very luckily
3:21
Speaker 2: we actually had had a check with them. I wanted to,
3:25
Speaker 2: you know, have a check with them, see if there's
3:26
Speaker 2: a chance for collaboration. One thing I really learned about
3:31
Speaker 2: right was we completely, uh and utterly underestimated how much
3:39
Speaker 2: resources and how long it would take to actually develop
3:43
Speaker 2: next US work. Whoa, Okay, this was way way of
3:46
Speaker 2: our what we expected. It was quite scary that right,
3:49
Speaker 2: Oh shit, what what can we do? Right?
3:52
Speaker 4: For me?
3:52
Speaker 2: A reality check that right, because the fact is we
3:55
Speaker 2: may not have enough money to build next US on
3:58
Speaker 2: until the end state. Now, even if we get next
4:01
Speaker 2: US somehow we get next US well to the very
4:03
Speaker 2: end state line, right, we don't have the money like
4:07
Speaker 2: them to be able to inject capital to do mockting
4:11
Speaker 2: and drive use US into the to the game.
4:13
Speaker 1: So this is bad news for a finn and it's
4:15
Speaker 1: also I think bad news in general for blockchain because
4:18
Speaker 1: what it's showing is that the bigger guys out there
4:22
Speaker 1: have all these resources and they're waking up to what's
4:26
Speaker 1: happening in the industry now. One of the last hopes
4:30
Speaker 1: that we've considered is a project called Over and you've
4:34
Speaker 1: heard us talk about Over the Reality for quite some time.
4:36
Speaker 1: In fact, they were around all the way back into
4:38
Speaker 1: the last bull run and they were, you know, very active. Then.
4:42
Speaker 1: A lot of things have happened since then. So we
4:43
Speaker 1: invited their COEO to come on the show and I
4:46
Speaker 1: want to welcoming in Diego d Tomas.
4:48
Speaker 4: How are you, hi, everybody. I'm happy to be here, amazing,
4:52
Speaker 4: Thank you very much.
4:53
Speaker 1: First of all, thanks for coming in today. As you
4:54
Speaker 1: can see, a lot of the market is in a
4:57
Speaker 1: bit of an uproar with what's happening just in the trend,
5:00
Speaker 1: but also the pickup in overall performance. I think of
5:04
Speaker 1: companies like Neantic. If you look at you guys, your
5:07
Speaker 1: map to earn completed scans continuing to move up, so
5:11
Speaker 1: your stats so far still growing. I was looking at
5:14
Speaker 1: some more data right here. This is just the experiences side.
5:17
Speaker 1: If some of you guys have not ever checked out over,
5:20
Speaker 1: go over to check it out. It's just marketplace dot
5:22
Speaker 1: over dot ai and you can start to kind of
5:25
Speaker 1: get a little bit more of an insight but I
5:27
Speaker 1: want to kind of get the current status diego of over.
5:30
Speaker 1: Where are you guys right now? What's the current status
5:32
Speaker 1: of what you guys are doing?
5:33
Speaker 4: Yeah, no, thanks for that, and also thanks for the
5:36
Speaker 4: analygy that you did. That was quite amazing enough to
5:38
Speaker 4: say so coming to OVER. So we are still pushing
5:42
Speaker 4: very hard like always, and I would say that the
5:45
Speaker 4: main focus in the last months have been the mapping side. So,
5:49
Speaker 4: as you mentioned, we reach more than fifty thousand maps
5:52
Speaker 4: and we are growing constantly, so we are around thirty
5:55
Speaker 4: percent per month in terms of mac we generate, so
5:57
Speaker 4: now we are around seven thousand maps permat. Actually when
6:01
Speaker 4: we started with the programm in November, we were generated
6:04
Speaker 4: seven hundred maps format. So it's an impressive road and
6:08
Speaker 4: is still growing, and we had to buy more machines
6:11
Speaker 4: for that. I mean, it's kind of tough to scale,
6:13
Speaker 4: but I mean the most difficult thing it's not really
6:15
Speaker 4: the machine. It's actually to create the right incentive to
6:18
Speaker 4: bring the people to map and to make the important locations.
6:21
Speaker 4: The reason why we've been focusing so much on the
6:25
Speaker 4: mapping side is because we believe that this is really
6:27
Speaker 4: the big differentiator and really what will make a difference
6:31
Speaker 4: between a successful and a not successful X our company,
6:35
Speaker 4: because our thesis is that at the end of the day,
6:38
Speaker 4: the tooling to actually create the threally assets the publishers
6:41
Speaker 4: and so on. Yes, it's something that is difficult to build,
6:44
Speaker 4: but not impossible to build. The really precious thing something
6:49
Speaker 4: that is very hard to create is this database of
6:52
Speaker 4: maps of important locations in the world. And these maps
6:56
Speaker 4: just go a little bit true. That is what actually
6:59
Speaker 4: enables very compelling AR experiences, so precise AR both indoor
7:04
Speaker 4: and outdoor. But not only that, what this maps brings
7:08
Speaker 4: is actually also a kind of merge between the AR
7:12
Speaker 4: and VR experience, maybe what some people call XR or
7:15
Speaker 4: spartial computing. So you know, AR is very cool because
7:19
Speaker 4: you can invent physical locations when you're in the location,
7:22
Speaker 4: but as a problem, the problem is that you cannot
7:25
Speaker 4: access those locations if you're not there. Actually, with this mapping,
7:28
Speaker 4: you actually create a digital twen of the location and
7:31
Speaker 4: you can explore it remotely. So you bring the all
7:34
Speaker 4: locality of AR of VR to AR and this is
7:38
Speaker 4: a very very powerful thing, and I think it's a
7:41
Speaker 4: paradigm shift in really what we define in AR XR
7:45
Speaker 4: and spartial computing. So that's why this has been the
7:49
Speaker 4: greatest focus in the last month.
7:51
Speaker 1: How do you guys see being able to compete with
7:54
Speaker 1: someone like a Nientic who's been able to launch Pokemon
7:57
Speaker 1: Go collect a lot of data out there pretty much
8:00
Speaker 1: free from users and somewhat rabbit in terms of just
8:06
Speaker 1: the amount of people that got into that game from
8:09
Speaker 1: a viral standpoint. Do you feel like you guys would
8:12
Speaker 1: need a strategy similar to that, possible game partnerships, etc.
8:16
Speaker 4: We believe that generating this data for the maps through
8:21
Speaker 4: a game is not really the best scenario. In fact,
8:25
Speaker 4: if you go and check the maps from Niantic other
8:29
Speaker 4: than San Francisco and other places, those are not so consistent.
8:33
Speaker 4: And there is a reason why for that because in
8:35
Speaker 4: our case, when we ask people to map, we ask
8:38
Speaker 4: them to do something with an intention to actually map,
8:41
Speaker 4: and we have a user interface that is actually focused
8:44
Speaker 4: to achieve that kind of goal. Well, if you just
8:48
Speaker 4: take data from casual gamers that are not there to map,
8:52
Speaker 4: the quality of the maps will be inconsistent. So while
8:55
Speaker 4: it's good in terms of numbers, you're going to be
8:58
Speaker 4: able to say, yes, we generate one undred thousand mets
9:00
Speaker 4: from people around the world, the actual quality and the
9:04
Speaker 4: usability of that map will be not so good. So unfortunately,
9:09
Speaker 4: I mean, this activity of mappy locations is kind of
9:14
Speaker 4: I would say, not super exectively. It takes three to
9:17
Speaker 4: five minutes, it's not that much to map but three
9:19
Speaker 4: hundred permeter's location. But you really need to add the
9:22
Speaker 4: attention to that, so you need to take pictures from
9:25
Speaker 4: the many different angles and so on. So either you
9:28
Speaker 4: are forced to do that from the user interface, either
9:32
Speaker 4: the quality of the things you generate will be some
9:34
Speaker 4: pictures that are useful but not really so much. In
9:38
Speaker 4: that case, probably is better to just take pictures from
9:40
Speaker 4: a car, like I don't know Google is doing, or
9:43
Speaker 4: emappers or others.
9:45
Speaker 1: All right, So I mean that gives me a little
9:47
Speaker 1: bit of I think hope, you know, when you look
9:50
Speaker 1: at some of the projects that are out there, if
9:52
Speaker 1: this can get much more detailed. And one of the
9:55
Speaker 1: ways that they've been able to scale is maybe attaching
9:59
Speaker 1: to the viral games. I was just looking at this
10:02
Speaker 1: is Power World. Some of you guys may have seen this,
10:04
Speaker 1: and this is one of the games that made it
10:06
Speaker 1: over to Microsoft and was able to kind of get
10:09
Speaker 1: break out. Why not say, all right, let's go in
10:13
Speaker 1: and assist some of these game companies that have not
10:16
Speaker 1: maybe gone fully into spatial mapping and assist them with this.
10:21
Speaker 1: With a partnership with Over, would that work absolutely?
10:24
Speaker 4: So, I mean the real vision about over is really
10:28
Speaker 4: to be a low level interface, so that's sorry low
10:33
Speaker 4: level platform. So the idea is to enable to actually
10:37
Speaker 4: connect thre the assets to space very precisely. Over that
10:42
Speaker 4: kind of layer you can build games. So that's why
10:45
Speaker 4: we have the Unity SNK builder and the web builder
10:48
Speaker 4: that are going to release a new version very soon.
10:50
Speaker 4: So basically to us, I mean, it's just a perfect fit.
10:56
Speaker 4: So to provide the actually components to actually create art
11:00
Speaker 4: content just like Niantic is doing at the end of
11:02
Speaker 4: the day, and then alled other people to build on. Actually,
11:05
Speaker 4: Niantre incidentally started with a game that was a youth
11:09
Speaker 4: success that was Pokemon Goal, very difficult to recreate. After that,
11:12
Speaker 4: we saw that the move that they did later is
11:16
Speaker 4: to become a platform to enable air content. So basically
11:21
Speaker 4: we started from that goal. That was the goal that
11:24
Speaker 4: Niantic take later.
11:25
Speaker 1: So I mean, well, okay, so that is still you know,
11:28
Speaker 1: going head to head with some of the biggest ones
11:30
Speaker 1: out there. I mean, even looking at Minecraft, they kind
11:33
Speaker 1: of gave up early on the space. This was back
11:35
Speaker 1: and I think in twenty twenty one, but Mike Haft
11:38
Speaker 1: Earth came to an end just before Metaquest and all
11:43
Speaker 1: of the movement I think we saw from Meta in
11:45
Speaker 1: general about ARVR, which I think reignited the potential there
11:49
Speaker 1: and now what we're seeing with the potential of spatial computing,
11:53
Speaker 1: which I think is a big deal. I was also
11:55
Speaker 1: looking at a post that you guys did, and of
11:57
Speaker 1: course that's you there were Sebastian hang it out. So
12:02
Speaker 1: what is the alignment with you guys and Sandbox.
12:05
Speaker 4: Well, so, I mean Sebastian is a friend and I
12:08
Speaker 4: always met around the world a conference, so I always
12:11
Speaker 4: let a lot to catch up with him and tell
12:13
Speaker 4: what we're doing and what we're up to. It's one
12:15
Speaker 4: of us. I mean, the friendship with Sabansa really started
12:18
Speaker 4: when we start collaborating with bringing their assets to the
12:23
Speaker 4: ar to the air meta as what we called before.
12:25
Speaker 4: So the powerful thing there is that again for the
12:29
Speaker 4: way that the platform is conceived, the platform is built
12:32
Speaker 4: to actually welcome content that is built from other creators
12:37
Speaker 4: and I mean Sandbox it's an amazing game in creation.
12:40
Speaker 4: So the opportunity to bring outside assets from Chamber was
12:44
Speaker 4: the first use case, but we can imagine more. I
12:47
Speaker 4: mean it's not just I mean we just started at
12:50
Speaker 4: the beginning with important characters that you can control in
12:53
Speaker 4: ars or bring it out from the game and just
12:55
Speaker 4: blending those with reality. And also there was there is
12:59
Speaker 4: the comp n FT ownership, so if you own an FT,
13:02
Speaker 4: you can use it or not only on Sandbox, but
13:04
Speaker 4: also on Over. But we can go beyond that. We
13:07
Speaker 4: can actually recreate the world games. Actually their games is
13:10
Speaker 4: built on Unity, so it's not so difficult to export
13:13
Speaker 4: it directly in our platform. There is also built on Unity,
13:16
Speaker 4: and so yeah, I mean we're always open to that.
13:20
Speaker 4: We always had this idea of this when we call
13:24
Speaker 4: it a metaverse like two years ago or something like that.
13:27
Speaker 4: The idea is that the component that wet Tree was breaking,
13:30
Speaker 4: there was the opportunity to actually merge content, to actually
13:34
Speaker 4: unlock content from a single platform. Like example, you're showcasing
13:39
Speaker 4: now us bringing these assets on over assets from Sandbox.
13:43
Speaker 4: If I wanted to do it with a web to
13:46
Speaker 4: gain first of all, I didn't know, I would not
13:49
Speaker 4: know where to take the asset. And second, if I
13:52
Speaker 4: was able to get the asset, probably they would sue me.
13:54
Speaker 4: So that's the powerful thing I think about the content
13:58
Speaker 4: and what we can build in wet trees. The fact
13:59
Speaker 4: that since the ownership of the assets is not really
14:03
Speaker 4: linked to the platform only, but to the users that's
14:05
Speaker 4: actually owned these assets, this assets can actually leave and
14:08
Speaker 4: by the fall basically can leave in different beta verses.
14:11
Speaker 4: And this is powerful because basically you can combine all
14:15
Speaker 4: the creative capabilities of many many different people and many
14:18
Speaker 4: many different ways of building games and basically cross pollinate
14:22
Speaker 4: between different platforms.
14:25
Speaker 1: Well, and I think that's an advantage for you guys.
14:27
Speaker 1: I think you're exactly right. That's one of the key
14:29
Speaker 1: things leaping forward. I want to show you a clip
14:32
Speaker 1: because this shows a little bit to your point that
14:35
Speaker 1: you were talking about earlier, where your mapping strategy is
14:39
Speaker 1: quite a bit different than if you get into these
14:42
Speaker 1: super isolated areas like San Francisco or the Bay Area
14:46
Speaker 1: from a game company that's been able to isolate in
14:48
Speaker 1: on that. This is a clip of Niantic and their
14:53
Speaker 1: idea around creating megamaps take a look.
14:56
Speaker 3: As we increase the maximum localization just sents from five
14:59
Speaker 3: to fifty meters, which actually means you can start to
15:02
Speaker 3: build experiences that are very large in size. So this
15:05
Speaker 3: like shows like the ferry schedule, and then as you're walking,
15:09
Speaker 3: we sort of show and illuminate a path as we
15:11
Speaker 3: walk all the way up to the door, and as
15:13
Speaker 3: a person's walking around, we're just sort of overlaying this
15:16
Speaker 3: larger world model that we created. This is like near future.
15:19
Speaker 3: This is not like twenty twenty seven. This is like
15:21
Speaker 3: later this year. So this is actually a combination of
15:24
Speaker 3: a whole bunch of different data types that we'll be
15:26
Speaker 3: able to all fuse together and georeference in London, and
15:30
Speaker 3: you can see we can even zoom all the way
15:31
Speaker 3: down and like go around this building and into the
15:33
Speaker 3: building and like have one continuous experience. So you can
15:36
Speaker 3: imagine how if you wanted to build a game where
15:39
Speaker 3: you're like bird simulator or something like this could be
15:42
Speaker 3: like a really cool experience in a headset. This is
15:44
Speaker 3: coming not twenty twenty seven. This is coming like very soon.
15:48
Speaker 3: In this particular example, it's pulling in data that actually
15:50
Speaker 3: requires a lot of work on the server to make
15:52
Speaker 3: this possible. But the payath you get for that is
15:55
Speaker 3: like enormous. And importantly, any developer anywhere can add any location.
16:00
Speaker 3: We will activate it for you for free right now, at.
16:02
Speaker 1: Least all right, a couple of keynotes there. I love
16:06
Speaker 1: that for free right now. But can you keep up
16:10
Speaker 1: with this at the pace in which they're talking about
16:12
Speaker 1: releasing even if they if it were a paid product
16:14
Speaker 1: coming out of you know, Nianti, Google, et cetera.
16:17
Speaker 4: Well, yes, you know, of course. Is that the question
16:21
Speaker 4: is how will they generate this data? Because you know,
16:25
Speaker 4: one thing is to basically, for example, doing what Google
16:29
Speaker 4: is doing or live mapper is doing, just putting cameras
16:33
Speaker 4: into cars and going around the world. So you you
16:36
Speaker 4: in that case you can get maps of streets, but
16:40
Speaker 4: what about going inside locations. So for example, in that
16:43
Speaker 4: villa that we're seeing there, you need somebody physically going there.
16:47
Speaker 4: There is no machine that is going to do that.
16:49
Speaker 4: You need a human being that working there and taking
16:52
Speaker 4: the pictures. So the question is how do you incentivize
16:55
Speaker 4: those guys? So I mean that the powerful thing. I
16:59
Speaker 4: mean that the powerful paradigm that is really emerging this
17:02
Speaker 4: year is this deep in movement, So we can actually
17:05
Speaker 4: have an army of people that just with a smartphone
17:08
Speaker 4: that everybody already has in his pocket, they can actually
17:11
Speaker 4: get a world and we can give it directly with
17:14
Speaker 4: cryptocurrencies all around the world. We don't need to ask
17:17
Speaker 4: for me to visa or to anybody to make a
17:19
Speaker 4: bigger transaction. And in this way we can have an
17:23
Speaker 4: army basically everywhere around the world. So, I mean, we
17:26
Speaker 4: can use that because we have this paradigm we were
17:30
Speaker 4: born in whet Tree. I'm wondering how they're going to
17:33
Speaker 4: do that. So what I think that they are gonna
17:37
Speaker 4: really is is something that is based on photo streets
17:41
Speaker 4: and on some very famous locations few ones around the
17:45
Speaker 4: world that basically has already been met with drones and
17:48
Speaker 4: so on. That I think that it will be like
17:52
Speaker 4: complementary kinds of data, because the kind of data that
17:56
Speaker 4: we can generate by having people going around the world
17:59
Speaker 4: and the kind of data that they can have with
18:01
Speaker 4: a more centralized fashion I think will be kind of
18:05
Speaker 4: different and probably I mean congruent data. So probably there
18:10
Speaker 4: will be ways also to collaborate in that direction. Even
18:13
Speaker 4: of course, if we can see them as a competitor.
18:16
Speaker 1: Right, I think you've hit on a couple of really
18:18
Speaker 1: good points and you've got the right catalysts. One of
18:22
Speaker 1: a smartphone which everybody has, and two the catalysts of
18:26
Speaker 1: being involved in crypto, which creates that you know, that
18:28
Speaker 1: potential for interest and of course I think in people
18:32
Speaker 1: jumping into this, so I would agree with you, I
18:34
Speaker 1: think that might be a possibility. So how long would
18:37
Speaker 1: diego when you look at the potential roadmap? Here are
18:42
Speaker 1: you thinking that we will see real critical movement in
18:45
Speaker 1: spatial mapping? And what twelve months? Twenty four months? What's
18:50
Speaker 1: your thought right now?
18:51
Speaker 4: Yeah? So it's the question, if I can translate in
18:55
Speaker 4: my terms, is I mean, what will be the threshold
18:57
Speaker 4: of number of maps when basically we will have a
19:01
Speaker 4: lot of utility from this database generating, So I would
19:05
Speaker 4: there is no perfect answer to that, but I try
19:07
Speaker 4: my best. So in terms of locations that we sold
19:11
Speaker 4: around the world, you know that, I mean over Maybe
19:14
Speaker 4: you didn't mention, but I know you know that. I
19:16
Speaker 4: mean it was like we're selling lengths, So that is
19:18
Speaker 4: partial domains like in the web, you have a web
19:20
Speaker 4: domain like digg dot com. You're published in that place
19:24
Speaker 4: in over you have a spetial domain, so you buy
19:25
Speaker 4: a parcel of three hundred karmeters, you can decide what
19:28
Speaker 4: will be the ar content anchor to that location. So
19:31
Speaker 4: we sold eight hundred and seventy thousand on those occasions.
19:34
Speaker 4: And right now, if you go in an important location
19:38
Speaker 4: in the world, probably that will be both at least
19:40
Speaker 4: the center of that in not all of it, but
19:43
Speaker 4: the center of that. So we can say that eight
19:45
Speaker 4: hundred thousand maps on death occasions will probably get you
19:50
Speaker 4: to have mappings that are useful for basically anybody. But
19:54
Speaker 4: probably what we believe is that we can go far
19:57
Speaker 4: below that, and we believe that the number of maps
20:00
Speaker 4: that are I mean enough to actually have a very
20:03
Speaker 4: useful product is around one hundred and fifty thousand. The
20:06
Speaker 4: reason why for that is what also Niantic was mentioning
20:09
Speaker 4: in the video that we were showing, so one net
20:12
Speaker 4: actually if it's in a big location like for example,
20:16
Speaker 4: we did an event in Pasadwoma, Milano, so we was
20:20
Speaker 4: projecting content in the world Patado. But for death we
20:24
Speaker 4: just use one map. So one mat for an open
20:27
Speaker 4: location is enough to actually activate very precise air experiences
20:32
Speaker 4: in all the occasions. And so if I mean we
20:36
Speaker 4: we are right with the way we incentivize and we
20:39
Speaker 4: keep collecting maps of important locations the world. We think
20:43
Speaker 4: that when we are around one undred fifty thousand, it
20:45
Speaker 4: would be very likely that if you want to publish
20:47
Speaker 4: something in an important location, we will have already the
20:50
Speaker 4: data for that. And so that is that is the goal. Really,
20:53
Speaker 4: that is what we are. We are looking to achieve
20:56
Speaker 4: as fast as we can, and we believe that we
20:59
Speaker 4: are going to be able to go beyond one hundred
21:01
Speaker 4: thousand maps by the end of the year and by
21:04
Speaker 4: the middle of the next year for sure, being beyond
21:07
Speaker 4: one hundred fifty thousand locations that's going to get that would.
21:11
Speaker 1: Be significant, That would be significant. I think a lot
21:14
Speaker 1: of companies, even the size of Meta and Google would
21:17
Speaker 1: probably take notice or something like that. I'm looking at
21:20
Speaker 1: Meta right now. Connect is getting ready to happen here
21:22
Speaker 1: September twenty fifth and six. Most likely it is talked
21:26
Speaker 1: about that they might release that's a very blurred image,
21:29
Speaker 1: but they might release spatial computing, you know, on the device,
21:33
Speaker 1: because Meta has this available with RayBan right now. But
21:36
Speaker 1: it's a single camera primarily just for recording actions. But
21:39
Speaker 1: if they do get a dual camera, you know, the
21:40
Speaker 1: potential here could be big. And of course let's not
21:43
Speaker 1: forget here's Meta talking about Niantic Labs using Meta Lama.
21:48
Speaker 1: So have they maybe selected Parado to you know, as
21:52
Speaker 1: kind of their I don't always say partner, but maybe
21:56
Speaker 1: this is the solution that they're going to be looking
21:58
Speaker 1: at for kind of the future of this. When if
22:02
Speaker 1: that were the case, you feel still you still feel
22:05
Speaker 1: that over is going to provide a different kind of
22:08
Speaker 1: mapping solution for the industry as well of just in
22:12
Speaker 1: general for the you know, kind of for the segment.
22:15
Speaker 4: Well, I mean I think that. I mean, again, the
22:19
Speaker 4: way we incentivize people to actually do the maps will
22:22
Speaker 4: generate different data from theirs, because I mean, we have
22:26
Speaker 4: people that are doing there with that intention. Just to
22:28
Speaker 4: give an idea, three under scare meters of that is
22:33
Speaker 4: the dimension of our location, and also our maps we
22:36
Speaker 4: generate around one thousand pictures is two gigabytes of data
22:39
Speaker 4: for each location, so it's way more that basically they
22:44
Speaker 4: are generating right now. Maybe I mean in the future,
22:47
Speaker 4: I don't know what they will do, but still they
22:49
Speaker 4: have the problem like to incentivize the people. So I
22:51
Speaker 4: think that I mean, and also the strategy in the
22:53
Speaker 4: future is actually not only to enable to use this
22:57
Speaker 4: data inside of over but also to make this data
23:00
Speaker 4: viable as APIs to third parties that maybe want to
23:04
Speaker 4: build something that is a white label. And also of
23:07
Speaker 4: course on that direction, we always respect I mean the
23:10
Speaker 4: ownership idea of web tree and so on, so the
23:13
Speaker 4: revenues would be split between us and actually the owners
23:17
Speaker 4: of these maps. But really I believe that there is
23:21
Speaker 4: I mean mapp in the world. Is a huge effort,
23:24
Speaker 4: and I believe that I mean companies as as soon
23:28
Speaker 4: as we move in these direction, companies actually will need
23:31
Speaker 4: this data and they will use whatever source they have
23:33
Speaker 4: to get it, and so we will be a source
23:36
Speaker 4: through the others we believe will be the most complete
23:38
Speaker 4: or important locations in the world. But let's see, I mean,
23:42
Speaker 4: like for example, Nyanti the clayer that like two months
23:45
Speaker 4: ago that they have one hundred thousand maps. Now the
23:48
Speaker 4: declarer they have one hundred seventy thousand maps. Our estimates
23:51
Speaker 4: they have around one hundred twenty thousand usable. If you
23:53
Speaker 4: go in their website and you see BPS enable location,
23:57
Speaker 4: they are around one hundred twenty thousand, so we are
23:59
Speaker 4: already very close to them, and so I really believe
24:03
Speaker 4: that what we're building it's a very very important piece
24:06
Speaker 4: of data that would be very useful for us, but
24:08
Speaker 4: also for any company that want to build air product
24:11
Speaker 4: products or special computing products. They call it like that.
24:14
Speaker 1: I'm also kind of considering this similar to what Matterport
24:18
Speaker 1: did for commercial real estate, because they that company went
24:21
Speaker 1: public here a couple of years ago. They were trying
24:24
Speaker 1: to do the same thing, but it required, you know,
24:26
Speaker 1: super expensive investment in cameras and companies to professionally go out,
24:31
Speaker 1: much like what you know, Google was trying to do
24:35
Speaker 1: with that type of scenario where they were mapping insides
24:39
Speaker 1: of restaurants, et cetera. But we just didn't see density
24:41
Speaker 1: come out. You know, there just wasn't enough of it.
24:43
Speaker 1: So to your point, Over may have maybe solved this
24:48
Speaker 1: solution going forward. All right, well, listen, Diego, it's been
24:52
Speaker 1: good chatting with you. I'm going to continue to watch
24:55
Speaker 1: this because I think Over might be one of the
24:58
Speaker 1: very few projects left at least in blockchain that I
25:01
Speaker 1: feel has a chance to really make a dent in
25:04
Speaker 1: this area. So we're gonna be watching it really closely.
25:06
Speaker 1: But thanks again for stopping in today. We appreciate it.
25:08
Speaker 4: Thanks to you. It's always a pleasure. Thanks thanks a
25:10
Speaker 4: lot for having me.
25:12
Speaker 1: You bet all right, So you guys are maybe tuned
25:14
Speaker 1: into the podcast side of things, make sure and jump
25:16
Speaker 1: over to the YouTube channel because this particular episode is
25:20
Speaker 1: important if you don't understand spatial mapping and the future
25:23
Speaker 1: of what it's going to because it's going to be
25:25
Speaker 1: in games, it's going to be in business. You're going
25:27
Speaker 1: to see this in use cases of all types, and
25:30
Speaker 1: understanding of this I think is really critical. So all
25:33
Speaker 1: you have to do, of course, is jump over to
25:36
Speaker 1: YouTube and just search Paul baron network. You'll find us
25:39
Speaker 1: over there. And of course, if you're not in the
25:41
Speaker 1: Diamond circle, that is our private membership, so make sure
25:45
Speaker 1: and use the link down below to join that. We'll
25:47
Speaker 1: catch you next time right here on tech Path