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TRANSCRIPTEnglish

Confronting the CEO of Matterport [My Next 3x Stock]. [Episode 15]

1h 25m 35s15,194 words2,572 segmentsEnglish

FULL TRANSCRIPT

0:00

hey everyone me kevin here wow i was

0:02

bullish on

0:03

ghvi the spac merger with

0:06

matterport before what you're about to

0:09

watch which is an interview with the ceo

0:11

of matterport i knew that matterport had

0:14

some crazy use cases that i couldn't

0:17

have even predicted

0:19

some of which we talk about in this

0:20

video but there's a bigger bomb that

0:23

dropped during this

0:24

that made me really really excited about

0:26

the future for matapor

0:28

especially how pretty much anybody is

0:31

going to be able to integrate matterport

0:32

data in the future

0:34

in ways that well you'll just have to

0:36

find out about during this video

0:38

enjoy this interview with ceo of

0:40

matterport oh and uh two things if you

0:42

want to

0:43

play with matterport while you're

0:44

watching this there is an app on the

0:46

iphone

0:47

app store you could download and try i

0:49

think they're releasing a beta for

0:51

android

0:52

maybe a beta is already out i'm not

0:53

exactly sure yet for android you want to

0:55

check that out

0:56

at the same time you could also get two

0:57

free stocks with weeble when you deposit

0:59

100 with weeble link down below or go to

1:01

mckevin.com weeble and of course get up

1:04

to 250

1:05

with block fi by going to metcalfon.com

1:08

bf

1:08

to buy your cryptocurrency so you're the

1:11

ceo

1:12

of matterport i'm so excited to have you

1:15

on this channel first of all thank you

1:16

so much for being here

1:17

tell us a little bit about how y'all are

1:20

planning to

1:20

revolutionize uh you know housing or or

1:24

properties and 3d scanning i know we're

1:26

not

1:27

we know you are going public through

1:29

ghvi that's must be confirmed i know

1:31

we're not going to comment on that

1:32

but i want to hear about matterport sure

1:34

i mean you know

1:36

uh it's the most exciting time for the

1:39

company without

1:40

question and you know transaction aside

1:43

we're

1:44

we're the company that is turning

1:46

buildings into data

1:47

and what does that mean we create a

1:50

three-dimensional

1:51

digital twin of any building of any kind

1:55

across all sorts of industries and all

1:58

building types from

1:59

hospitals to hotels to high-rises

2:03

homes airbnbs you name it

2:06

we've really built a platform for scale

2:10

and especially over the last couple of

2:12

years what we've really honed in on is

2:14

making matterport universally valuable

2:17

you know across the built world

2:19

and why right because i like going after

2:23

big markets

2:24

and this is the biggest one that i've

2:26

played in

2:27

and you know coming from a lot of big

2:28

tech companies myself i can tell you

2:31

um the built world is extraordinary i

2:33

mean it's a 230 trillion dollar asset

2:36

class

2:37

it's the largest asset class in the

2:39

world there's four billion buildings out

2:41

there to go matterport

2:43

uh what a great place for us to set our

2:45

sights on right

2:47

i mean i think it's so amazing that even

2:50

just solely looking at the real estate

2:53

industry

2:54

i mean covet has obviously made

2:56

matterport like a necessity

2:57

but even before kovitt redfin was using

3:00

y'all

3:00

exclusively i think they still are

3:02

absolutely which is amazing

3:04

uh on top of that the more i think about

3:07

matterport the more i think

3:09

my gosh in the future you could probably

3:11

just have artificial intelligence

3:14

read the data from these scans and

3:16

handle insurance claims and maybe we

3:18

could just we don't need field adjusters

3:20

anymore

3:20

architects contractors can use this can

3:23

you tell me a little bit about these

3:24

innovative use cases that maybe we're

3:26

not seeing yet but like what that

3:27

potential is

3:28

sure and you know in certain markets

3:31

they're we're putting them in practice

3:33

today i mean the way we

3:35

think about this digital twin it's it's

3:38

the new

3:39

system of record for this asset right

3:42

lots of things we own cars etc

3:44

you know have a vin number attached to a

3:47

complete system of record and

3:49

maintenance and everything you know for

3:51

the car you own but why is it that there

3:53

isn't something like this

3:54

that exists for your home the closest

3:57

thing we have is an appraisal

3:59

and i think you know we can all agree

4:01

that appraisals are hit and miss

4:03

um and it is by no means you know a

4:06

precision

4:08

uh record of everything that's going on

4:10

inside a

4:11

you know a property and so when we bring

4:14

matterport in

4:15

it's not just about um a great

4:18

visual tour of the property that's

4:21

that's just a piece of it remember what

4:23

our technology does right it's capturing

4:26

upwards of 3 million to 5 million 3d

4:29

data points

4:30

you know in a matter of minutes and

4:32

those data points

4:33

reconstruct the entire uh building and

4:37

property as well as the contents right

4:38

and it's all of course

4:40

you know dimensionally accurate

4:42

volumetrically accurate but it's also

4:44

photorealistic imagery

4:45

as well right so a lot of sophisticated

4:47

stuff happening in a quick scan

4:50

but then we have everything right so i

4:52

have the dimensions and sizes of

4:54

every room but i also have record of all

4:56

the contents

4:58

everything that's in the property as

5:00

well as the condition of it because we

5:02

can see it in

5:03

134 megapixel 4k hdr

5:06

imagery so you can get you know really

5:09

up close

5:10

and personal with with your asset and

5:12

that's

5:13

you know you can do these these capture

5:15

the matterport

5:16

in like i said in an average home in

5:19

less than an hour

5:21

and it's it's something that you know is

5:24

i think a very

5:25

valuable uh companion to anybody

5:28

you know who's who's got a property

5:31

so uh you know these the matterport

5:33

scans you used to back in i think 2016

5:36

when i bought my matterport pro 2. uh

5:38

they were like four grand back then

5:40

i think they're a little less now uh you

5:43

had a big

5:44

sales team and now it seems like a lot

5:47

of the potential future

5:48

could be going towards really software

5:51

as a service

5:52

because now you know we've got lidar on

5:54

the new phones

5:55

we've got a matterport beta app where we

5:57

don't even necessarily need a camera

5:59

now don't get me wrong i'm still using

6:01

the pro too because that thing is

6:02

freaking amazing

6:03

but i think we're going to get to this

6:04

stage and i think you all see that where

6:06

it's all going to be done with a phone

6:07

in the future what's your take on that

6:10

transition like how important is this

6:11

product to your business

6:12

versus just software it's it's it's

6:16

really important and it's it's

6:17

fundamental to our strategy going

6:19

forward where you know i mentioned at

6:21

the beginning of matterport is really a

6:22

platform company

6:23

platform business and and indeed our our

6:26

principal

6:27

source of revenue is the sas software as

6:31

a service

6:32

um no longer solely dependent on the

6:36

sale of the matterport pro 2 camera

6:38

you know to keep the business going and

6:40

and why

6:41

why did we move to this platform well

6:43

for for two reasons as mentioned in the

6:45

beginning

6:46

there's a massive amount of property out

6:48

there to go matterport

6:49

and we're not gonna do it sort of one

6:51

pro two camera at a time

6:53

we wanna make sure that you know there's

6:55

a way in some sense to democratize

6:58

matterport democratize that 3d capture

7:00

get it in the hands of

7:01

everybody and let let the you know

7:05

uh the industry professionals and even

7:07

the homeowners have a choice

7:09

uh and have some flexibility and

7:11

affordability you know to this

7:13

technology to get started

7:15

but there will always be a place a

7:18

big place for the pro 2 camera let me

7:20

tell you um

7:22

you know and even through covet even

7:24

through the launch

7:25

of matterport for iphone you know we

7:28

sold more

7:29

matterport pro 2 cameras last year than

7:31

we did in any other year in the history

7:33

of the company

7:34

wow it's fantastic um and it's it's

7:36

designed

7:37

you know with maximum precision and

7:39

accuracy it's great for really large

7:41

spaces we have a lot of enterprise

7:43

customers

7:44

that are shooting 100 to 400 000

7:47

square foot facilities and you're not

7:50

going to

7:50

do that too conveniently with a

7:53

smartphone in your hand right i mean the

7:55

long range power of the matterport pro 2

7:57

camera allows you to

7:58

still get in and get out of even those

8:00

really large spaces

8:01

um pretty efficiently that's neat so i

8:04

mean

8:05

i know you've got packages now where you

8:07

can take this data

8:10

and move it into like an autocad it's

8:12

been a little

8:13

clunky lately what i've been doing with

8:16

some of my architects is i've actually

8:18

as a property owner and investor i've

8:20

been scanning properties

8:21

i'll buy the 2d floor plan we'll measure

8:25

one of the walls on the 2d and then

8:26

we'll just recreate it all in autocad

8:29

are there plans for maybe an easier

8:31

transition

8:32

well i mean today you can use matterport

8:35

once you

8:36

scan a property we have it as an add-on

8:39

you can click a button in

8:40

24 to 48 hours you can get 2d floor

8:43

plans of the entire space

8:45

and it's not very expensive and what

8:48

we're working on

8:49

is automating that as well because

8:51

you'll notice that there is sort of a

8:53

floor plan

8:54

view and layout uh when you're browsing

8:56

your matterport space and showcase you

8:58

can go to 3d dollhouse view you can go

9:00

to 2d

9:01

and it's in that 2d is getting very

9:03

close

9:04

to a true 2d floor plan and so we're

9:06

working

9:07

with the same you know data science and

9:09

technology that creates

9:11

you know the matterport spaces that that

9:14

you know today

9:15

um to do the same thing for floor plans

9:18

as well

9:19

it's only a matter of time got it got it

9:23

what can you do with with all of this

9:26

data that's being collected i mean

9:27

ultimately i love it i i could give it

9:30

to my architect an insurance agent

9:32

or an insurance you know claims adjuster

9:34

you know us as humans we can look at it

9:36

do you think there's a chance that

9:38

appraisers are going to be put out of

9:40

business by matterport

9:41

uh that a who sorry oh that appraisers

9:44

might be put out of business

9:47

well you know what i love quite honestly

9:49

is for

9:50

um matterport to

9:53

you know supercharge appraisers um

9:56

why not put the smartphone in their

9:58

hands and instead of using you know

10:00

taking iphone photos and writing a few

10:02

notes and pulling out a

10:04

tape measure why not um go in and matter

10:07

port the space

10:09

or i guess the customer could probably

10:13

matterport the space like hey you want

10:16

an appraisal

10:17

instead of 600 we'll charge you 300 just

10:19

go around with your phone and matterport

10:21

it really quick

10:22

send it to this this you know person who

10:24

might be sitting in idaho

10:26

from you know appraising a house in

10:27

california and they're just using the

10:29

matter for skins

10:30

is that a potential future yeah there's

10:32

no question there's no question and

10:34

that's part of that democratization of

10:35

this right

10:36

and trying to get a version of

10:38

matterport that works

10:40

right down into a smartphone where

10:43

there's no

10:44

expensive hardware you know required to

10:46

get you started

10:48

and could we then be pushing that you

10:50

know right out to the homeowner

10:52

absolutely right and um uh again you

10:55

know depending on the nature of the

10:57

space the size and the complexity of it

10:59

um

11:00

you know certain capture technology is

11:02

going to be good for some spaces and for

11:04

the larger ones you still might go to a

11:06

professional but

11:08

uh but absolutely for you know the large

11:11

volume of property out there this is

11:13

this is right where we're headed

11:15

how dependent is your technology on

11:17

lidar is is that like the main way of

11:20

doing this and

11:21

do you think there's any connection

11:22

between what you're doing in

11:24

like autonomous driving do you have your

11:26

thoughts on that

11:28

yeah so we actually launched matterport

11:30

for iphone

11:31

uh back in may of 2020

11:36

and at that point it was not uh attached

11:39

to

11:39

the lidar sensor in the iphone 12 it

11:42

hadn't even been

11:43

announced yet and the way that we're

11:46

able to do that

11:47

is all powered by data so you know

11:50

there's a method to our madness in the

11:52

first now almost 10 years of

11:54

matterport's existence where we've

11:56

scanned

11:56

millions of buildings and spaces in 150

11:59

countries around the world

12:01

and we use that spatial data from those

12:03

captures

12:04

to train our ai engine we call it cortex

12:08

which is doing all of the 3d

12:10

reconstruction so

12:11

you know that's not happening on the

12:13

camera um

12:15

that's something that happens in the

12:16

cloud that's being done in a very

12:19

automated fashion to get that beautiful

12:21

3d model

12:23

and that's using you know predictive

12:25

technology predictive geometry

12:27

um predicting you know length width and

12:29

height of

12:30

uh spaces from the data that we capture

12:33

when you're in the building doing the

12:35

scan

12:36

and we can now predict 3d geometry just

12:39

using flat photos from your iphone so

12:41

forget about the lidar sensor

12:43

you can fill in the gaps now with very

12:47

very impressive accuracy

12:49

uh and and that's going to allow us to

12:51

unlock

12:52

literally billions of smartphones that

12:54

are out there today

12:55

with no lidar in them and still give you

12:58

great results

12:59

so elon musk calls lidar a crutch is

13:02

lidar a crutch can you do this with

13:04

vision technology

13:05

you can right i mean as mentioned like

13:07

we're we're doing it today

13:08

we'll be doing it on android um it's

13:10

already in the play store in beta

13:13

um smartphone capture itself is coming a

13:15

little bit later but we're fully

13:17

supporting

13:18

all of the efforts that we've been you

13:20

know building to date on the

13:21

on the apple platform and ios is coming

13:24

to android

13:24

you know for the rest of the world

13:26

that's you know uh on the android

13:28

platform

13:29

that's a huge huge opportunity for us

13:31

and not all of those devices have lidar

13:33

as well

13:34

what i can tell you about it though is

13:36

for what we do

13:38

it is helpful and it's helpful because

13:41

it can provide

13:42

confirmatory information about distance

13:45

and geometry

13:47

of physical spaces that's that's really

13:49

you know what it's good for

13:51

what elon musk is talking about is well

13:54

you know lighter gives you a point cloud

13:55

so if you've seen

13:56

ever if you've ever seen a point cloud

13:58

either comes from a matterport or from

14:00

a lidar camera you know it's a very

14:03

pixelated

14:04

you know kind of uh computer generated

14:07

dot matrix view

14:09

it's not photography right and so i

14:12

wouldn't be able to tell you

14:14

uh what type of refrigerator you have in

14:16

your kitchen or whether it's a clawfoot

14:18

tub or not

14:19

just from a point cloud but with

14:21

matterport what's so unique is

14:23

um we are always getting depth data

14:26

as well as that photorealism at the same

14:28

time so we always have you know

14:30

what you know what elon's referring to

14:33

is

14:33

you know real rgb imagery because that's

14:36

where you can apply computer vision to

14:38

truth like confidently recognize

14:40

things in a scene right so recognizing

14:43

furniture or objects or light fixtures

14:45

in a building

14:46

so when you're training your ai you're

14:49

not

14:50

training them on dots you're training

14:53

them on

14:54

the jpegs or or the images really oh

14:57

that's right i mean

14:58

i can go into any matterport model now

15:01

it with

15:02

our automated software and it can

15:03

automatically label every room in a

15:05

house

15:06

how does it do this it's doing that

15:08

because we've trained it

15:09

on every kitchen living room bedroom

15:12

garage

15:13

uh you know uh you name a dining room

15:16

we we know what are the defining uh you

15:19

know

15:20

aspects visually of those sorts of rooms

15:23

and so uh and once you do that millions

15:26

and millions of times over

15:28

you have just you know an incredible uh

15:30

data set

15:31

from which to you know train the ai to

15:33

do some pretty impressive things

15:35

and i can not only label all the rooms

15:38

but then

15:39

we can also go back into you know homes

15:42

that we've matter ported five years ago

15:44

and tell you how many south facing

15:46

windows

15:47

does that particular house have and

15:49

what's the square footage or surface

15:51

area

15:52

of those windows to solid walls and why

15:54

would you care about that well

15:56

one if you wanted to be able to quickly

15:59

get a measurement to put new window

16:00

coverings in place or simply do

16:03

export all of that data into an energy

16:06

efficiency calculator you can figure out

16:08

how to reduce your energy bill

16:10

yeah because you have to ordinarily you

16:12

you pay experts to come tell you this is

16:14

how much window exposure you have or

16:15

this so that

16:16

a lot of this you're saying could be

16:17

automated i mean the amount of data you

16:18

could get on a house

16:20

it could be absolutely incredible with

16:22

these you can probably automate

16:24

good well i was going to say because

16:25

we've got where those windows are

16:27

positioned

16:27

and then how high is the ceiling and how

16:29

tall is that window and is it a pitched

16:31

roof

16:32

all of these things have you know

16:33

implications on the thermal load of your

16:35

property

16:36

and we have all of that data to tap into

16:40

i mean i imagine almost in in at some

16:44

point in the future

16:44

there could in theory be such strength

16:47

in this data that you could almost do

16:50

home inspection non-destructive home

16:51

inspections you know you're not opening

16:53

up walls or whatever

16:53

but you could probably do home

16:55

inspections to some degree where it's

16:56

like

16:57

you got four smoke detectors you got two

16:59

carbon monoxide detectors oh looks like

17:00

there's some

17:01

you know uh you know i don't know mildew

17:03

over there

17:04

or whatever i imagine you could train

17:06

your ai to just identify anything

17:08

that's right you can and and we do that

17:11

for

17:11

specific customers who have a large

17:14

fleet of buildings that could be

17:16

industrial companies or even you know

17:19

big retailers

17:20

and you can train it on a very specific

17:22

piece of equipment

17:24

and then have it go in and look at a

17:26

thousand different locations that have

17:27

been matterported to verify does it have

17:29

this piece of equipment you know

17:31

installed in that facility or not and

17:34

you can you can quickly you know imagine

17:37

the efficiency gains that you're going

17:39

to get

17:39

out of being able to do that sort of

17:42

remote

17:43

digital interrogation of properties

17:45

versus you know having to send people

17:47

and boots on the ground to you know go

17:49

in get access to the space during

17:51

business hours or whenever and go

17:53

through that process

17:54

and then see if you forgot something or

17:56

you wanted to you know measure something

17:58

you got to go back in again

17:59

you know a second third time all of that

18:01

goes goes away once you have the digital

18:04

twin

18:05

you know i'll tell you your service has

18:08

made me extremely lazy

18:09

now when i do renovations i i scan it

18:13

or actually i used to do all my own

18:14

scans as of the last three months i

18:16

don't do my own scans anymore i

18:17

i loaned someone my matterport pro and

18:19

then you're gonna do it very good

18:20

and so now when i have renovations going

18:23

on since i'm mostly in the studio here

18:25

uh i could go okay here's the before

18:28

here's what it looks like with drywall

18:29

up here it is painted and then i'm

18:31

sitting here with my scan

18:32

up and on lowes.com okay i need this

18:35

many lights this many ceiling fans this

18:36

many outlets i mean even for property

18:38

management purposes i've had

18:40

tenants call us and they're like oh the

18:42

power's out on this circuit

18:44

we look at the matterport while the

18:45

house is empty and we're like ah there's

18:47

actually a gfci

18:48

at the corner of this bedroom that just

18:50

saved us 80 bucks for an electrician

18:52

going out to figure that out you know

18:53

that's insane right i mean you know but

18:57

i was gonna just add to that that um you

19:00

know

19:00

let's not also forget that when you have

19:03

all of your own

19:04

building geometry um redecorating

19:07

redesigning does that artwork going to

19:09

fit on the wall

19:10

we now have through our api we have a

19:12

whole you know software development kit

19:15

that allows you to do things like bring

19:17

in three-dimensional furniture objects

19:19

into your space so you can do space

19:21

planning we have

19:22

commercial clients that are doing this

19:24

for the new world trade center buildings

19:26

um where they've scanned all of the

19:28

stories up the high-rise and the raw

19:30

you know empty floor plates that are now

19:33

just being designed out

19:35

um right into the matterport space um

19:38

everything from offices to conference

19:39

rooms to furniture layouts and

19:41

and truly artwork on the walls and stuff

19:43

it's really cool to see

19:45

wow no that that really is how do i get

19:47

is that

19:48

is that under true plan or matter power

19:50

pack it's uh

19:52

predominantly through matter pack that's

19:54

you know if you if you get a matter pack

19:56

you're downloading your point cloud and

19:58

your panos and then you

20:00

have access to modifying those in

20:03

all sorts of ways and i'll give you a

20:04

couple of examples

20:06

um vehicle showrooms right and of course

20:09

and even you know during covet it's

20:11

it's is particularly interesting where

20:13

people aren't really going out into a

20:14

lot of physical retail stores and

20:16

shopping for stuff they're kind of you

20:18

know moving

20:18

more online and staying online and so

20:20

the showrooms are even

20:22

you know matterporting their locations

20:24

but they'll

20:25

swap in and out vehicles and you can do

20:27

it both with

20:28

actual vehicles but you can also do

20:31

super high resolution

20:32

cg computer generated versions of teslas

20:36

and ferraris and things and just dropped

20:38

them into the showroom for a virtual

20:39

tour

20:40

wow oh that's really incredible yeah

20:42

scan the space drop in whatever you want

20:44

kind of thing

20:44

that's incredible so i mean the future

20:48

here it really it's almost i mean ai's

20:50

is in some sense

20:51

exciting but then on the other sense

20:53

it's also like scary there are a lot of

20:55

agents today that i hear and and

20:57

personally

20:58

i think it's ridiculous but i hear

21:00

agents like oh

21:02

3d scans no we we don't do that that

21:05

that compromises safety or whatever

21:07

because now people know the floor plan

21:09

what do you say when you hear stuff like

21:10

that well

21:12

first of all you know it's

21:13

understandable when with technology like

21:16

this that's fairly disruptive

21:18

it's transforming an industry you know

21:21

for people that are first introduced to

21:22

it you can't know

21:23

entirely what the downstream implement

21:26

implications are going to be right

21:28

i mean i used to hear things like um we

21:31

don't want to do a

21:32

a a matterport virtual tour because

21:35

that's going to keep people from coming

21:37

physically to the house

21:38

and i need them to show up at the

21:40

property i need to get their business

21:42

card

21:43

and find out if they don't like this

21:45

house i've got three more down the

21:46

street like i'm going to lose

21:48

you know the the rhythm and flow of of

21:51

my business and how i network and do all

21:53

this stuff

21:54

and not an unreasonable hypothesis

21:58

but you know now you know matador being

22:00

in this for 10 years

22:02

couldn't be further from the truth the

22:04

in fact the opposite happens

22:06

what the first thing that happens is

22:08

engagement in online property searching

22:10

goes up 300 percent if you have a

22:12

matterport

22:13

digital twin attached to your online

22:15

listing like that's

22:16

crazy in its own right 300 well then

22:20

what it does is it gets more people

22:21

interested in the properties and turns

22:23

up

22:24

more people at the open house is because

22:26

it's just greater engagement and a

22:28

greater

22:29

aha moment where you're not you know

22:31

kind of put off or

22:32

limited by just a subset of photography

22:34

of the space

22:36

and you know when it comes to privacy

22:39

and security and those sorts of things

22:41

well you always have the

22:43

ability to leave one room out or

22:46

you know uh close the doors in the

22:48

closets where you keep the values you

22:50

don't want to be you know matterporting

22:51

those parts

22:52

that's fine um and people have kind of

22:55

you know grown to accept that and get

22:58

very

22:58

comfortable with it because you know the

23:02

the outcome of it is so powerful house

23:04

is so faster and for a higher price

23:07

so why wouldn't you right at the end of

23:08

the day if that's one of your objectives

23:11

that's a good point what do you think

23:12

about uh i mean is this something

23:15

or or have you all already been working

23:17

with the insurance industry on this

23:19

uh can you speak to that sure you know

23:22

the

23:23

it's a fast-growing category for

23:24

matterport uh and has been for the past

23:27

few years

23:28

and there's a couple of areas one is

23:30

actually in the

23:32

um claims and restoration category so

23:36

similar to using matterport to document

23:38

a construction progress from

23:40

you know framing to sheetrock and finish

23:44

work

23:45

matterport is now being used essentially

23:48

as

23:48

the claims adjuster so now the

23:52

the head office adjusters don't have to

23:54

go down to the

23:56

burned out or flooded out building or

23:58

even if there was theft or

24:00

you know damage of some kind they'll go

24:02

down

24:03

capture the entire situation and then

24:06

allow

24:07

um all of the adjusters from across the

24:09

country and specialists

24:10

for building forensics experts etc

24:13

whatever is needed depending on

24:14

the nature of the situation can all

24:17

access it you know with a click

24:19

versus again like putting them all on

24:21

planes and you know dealing with it in a

24:23

manual fashion and again you have

24:25

precision measurements and things

24:27

and uh and the restoration teams will

24:30

use it to document the

24:32

process so claims get um you know

24:35

resolved much faster and also with

24:37

greater precision so there's

24:38

the insurance companies are wasting a

24:40

lot less money

24:42

in the claims payouts because they have

24:44

a precision assessment of the work

24:46

that's needed to be done where these

24:48

other versions of appraisals if you will

24:51

um were not you know so high fidelity

24:54

and and it causes a lot of churn and

24:56

it takes a lot more time the other side

24:58

of it as you could easily imagine

25:00

is well if i've got this digital twin

25:02

isn't this a an easier way for an

25:04

underwriter to give me a more precise

25:07

quote and maybe a better price on my

25:10

homeowners

25:10

insurance policy because i do have

25:14

a system of record of the house the

25:16

geometry of everything about it the

25:18

backyard the

25:19

you know the basement as well as all the

25:22

contents right because you're always

25:23

doing contents insurance as well and

25:25

trying to cover some amount of your

25:27

personal belongings this is absolutely

25:31

you know the way in in a matter of

25:32

minutes once again

25:34

you got something that you know an

25:36

appraisal in the traditional sense would

25:37

never provide

25:39

that's i mean that's actually to me you

25:42

could potentially

25:43

unlock and i know you're getting started

25:45

with like with this on claims

25:47

but what you just described is this

25:49

potential future where

25:51

in theory rather than filling out an

25:54

insurance application where they're like

25:57

would you have

25:58

granite or stone counters like stone

26:00

slash quartz do you have

26:02

carpet or wood right rather than that it

26:04

could literally just be a

26:06

enter your matterport link and instantly

26:10

matter report could probably provide

26:12

data to the insurer about

26:14

it looks like we have a self-closing

26:15

hinge on the garage door it looks like

26:16

we've got the fires and smokes

26:18

this is where we have the fire

26:19

sprinklers uh you know we've got gas

26:22

appliances first electric appliances

26:24

whatever it could probably identify a

26:26

whole host of safety hazards

26:27

it and then probably kind of do what

26:31

tesla's doing with insurance

26:33

where tesla's ensuring basically

26:36

their autonomous or their ai is really

26:39

what they're ensuring with the

26:40

self-driving

26:41

but you guys are providing that to

26:42

insurance companies how much would this

26:44

blow up your business

26:46

if if you if everyone who needed to get

26:48

home in an owner's insurance needed to

26:50

do a matterport scan

26:51

yeah i mean uh it if

26:55

the the the view we have on this is you

26:57

know kind of twofold there's there's the

26:59

digitization

27:00

of the build world which is what you've

27:02

seen with us creating the digital twin

27:05

right that's that's a really you know

27:07

powerful

27:08

we think multi-billion dollar business

27:10

in its own right then this the second

27:12

part of our strategy and and you know

27:15

key part of our platform

27:17

is the datification of the built world

27:20

right and

27:21

and that is just what you're talking

27:22

about here unlocking

27:24

um a stream of data that can come out of

27:27

these

27:28

you know digital twins out of these

27:29

scans

27:31

that can feed industries from you know

27:33

the furniture industry and space

27:35

planning and architecture

27:36

to insurance and even mortgages right

27:39

same

27:40

same thing like they're all based on

27:43

some assessment of the asset

27:45

and that assessment whether it's an

27:47

appraisal and an appraisal plus a few

27:49

other things

27:50

is woefully insufficient right if we've

27:52

seen you know

27:53

mortgage industries collapse and take

27:55

the entire economy down with it

27:58

oftentimes that's because the properties

28:00

that are trading hands through

28:02

you know securities and mortgage-backed

28:04

securities you know investors

28:06

um is the the assessed you know

28:09

description of that property isn't worth

28:10

the piece of paper it's written on right

28:12

and that's how we saw a lot of those

28:13

employees could this

28:15

you know be rectified you know with a

28:18

uh some ground truth data or a system of

28:22

record with much greater

28:23

you know granularity to it and we think

28:25

we think the answer is yes

28:27

how long until we see appraisers

28:32

using matterport or or having you know

28:34

people do their own skins or whatever

28:36

when do we see that go mainstream yeah i

28:39

mean it's happening now we have

28:41

yeah it's it's and it's great to see

28:43

where in some ways it's a bit of a

28:45

grassroots effort

28:46

where people anyone of course can just

28:48

come to matterport and start grabbing

28:50

you know digital twins of anything for

28:53

whatever industry

28:54

and that's always you know exciting to

28:57

watch just how

28:58

much pull there is for this technology

29:01

into the industry

29:02

but then you know specifically around uh

29:05

our efforts in the vertical in the

29:07

category of you know insurance

29:09

appraising mortgages and things of that

29:12

nature

29:14

you'll see more of that coming from

29:15

matterport

29:17

this year next year like we're in the

29:19

middle of it now

29:20

and um uh it's

29:23

it's it's one of these things where one

29:26

the technology has to i think be

29:28

again universally applicable meaning

29:31

that

29:32

it has to work consistently across you

29:35

know virtually any type of property if

29:37

if it's going to be something that

29:39

gets generally accepted or becomes a

29:41

standard right and that's why

29:42

again i i always emphasize the

29:45

importance of

29:45

us adopting a platform strategy to make

29:48

sure that that

29:49

that actually can happen right because

29:52

um you don't want matterport to get it

29:54

wrong

29:54

right or to be inconsistent in you know

29:57

the kind of data that it's providing

29:59

you know to such a valuable set of

30:01

industries insurance and underwriting

30:03

and the like so

30:04

um plenty of work is being done on our

30:06

side to make sure that we can

30:08

you know have uh not only great

30:10

technology and great accuracy but also

30:12

great governance

30:13

around this as well now

30:16

what what's next then i mean let's say

30:20

you know if you had an extra billion

30:21

dollars let's say is it

30:23

advertising to get into these industries

30:27

to really get all states to say for

30:29

example we need matterport on everything

30:31

uh or is it a new camera

30:36

uh is it improving the ai what's where's

30:39

the

30:39

biggest next thing yeah um

30:42

there's always room and we will always i

30:45

think matterport's established it's

30:47

its leading position in this in this

30:49

market in this industry

30:51

um because of our relentless commitment

30:54

to innovation

30:55

and continuing to lead the category and

30:58

we've got some

30:58

super exciting stuff coming later this

31:01

year

31:02

uh and next year as well like there's

31:03

just there's a lot of stuff in the

31:05

pipeline um from an r

31:06

d perspective um but what we're really

31:10

you know to be quite honest i think um

31:12

we've achieved a

31:13

um a level of momentum in the global

31:16

market that

31:19

is and we've we've matured the platform

31:22

to a place where it

31:23

is a replicatable value proposition

31:26

so you know where am i putting the

31:29

resources in the business right now

31:31

is scaling you know and getting in front

31:33

of more customers

31:35

in more countries and in more markets

31:38

as you know efficiently as humanly

31:40

possible

31:41

there's a lot of value for matterport to

31:45

deliver in the world

31:46

with what we have today right right so i

31:49

agree with you i'm not being held up by

31:51

some missing pieces of technology or in

31:54

need of another you know kind of

31:56

sensor breakthrough i don't even need

31:58

lidar on on smartphones

32:00

um to just run like the wind right right

32:03

now what we need to do

32:04

is just continue to scale delivering

32:07

matterport in our go to market

32:10

in the most efficient way possible so

32:12

that people you know can get their

32:14

hands on it and just start using the

32:16

product

32:17

um without effort that makes sense

32:20

yeah that's a scaling i think i agree

32:23

with you and then going to international

32:24

too i mean that's incredible there's

32:25

like you said there's so much

32:26

opportunity out there i guess i have

32:27

this this vision of in the future

32:29

uh i you know i could just maybe uh

32:33

take a i don't know let's say this this

32:35

coffee cup is is a camera and i could

32:36

just

32:37

open the door walk through it and and in

32:40

two minutes it's done everything and it

32:42

edits me out how far away are we from

32:43

that like am i dreaming how far away

32:45

because right now i gotta

32:46

set the tripod and move and it's awesome

32:48

yeah but like how far am i away from

32:50

that dream

32:51

so the you know the part of this that

32:54

was so important for us to

32:56

open up we call it our capture ubiquity

32:58

strategy which

32:59

what does that mean means it's pro 2 and

33:03

you know a host of third-party capture

33:05

technology

33:06

um bring your own hardware if you will

33:09

right

33:10

it's inclusive of our own product which

33:13

we've talked about is

33:14

is really really important to our our

33:16

continued long-term success

33:18

but um by opening our our minds this way

33:23

you also open up the optionality you

33:25

just described you know so

33:27

uh we're using 360 cameras today right

33:30

in the middle there's the high end

33:31

cameras like the leica blk the lighter

33:33

camera

33:34

there's 360s there's of course pro 2

33:38

360s and now smartphone but let's

33:41

remember like what are security cameras

33:43

right there they're everywhere right and

33:45

many of them are

33:46

our 360 or 180 uh spherical lenses

33:50

stuff we already use to create

33:51

matterport models

33:53

and um why couldn't you imagine that

33:56

fixed cameras in properties couldn't

33:59

turn into real-time

34:00

you know 3d updates where you're doing

34:02

matterport updates

34:04

you know by the minute by the hour you

34:06

know etc of course

34:07

of course it's just imagery we can take

34:10

any flat

34:11

file you know image and if we have

34:14

enough of them

34:15

with enough coverage you know sort of

34:17

eyes on

34:18

uh the space from enough angles we can

34:21

recreate the

34:22

the 3d digital twit and so that's

34:25

absolutely amazing

34:26

we're very much you know thinking about

34:28

this because

34:29

um there are many um customers

34:33

again maybe not so much in residential

34:35

real estate but in

34:36

commercial or retail etc where um or

34:39

manufacturing

34:41

where the spaces and the internals of

34:43

the space

34:44

production lines equipment etc changes

34:47

on a monthly

34:48

or weekly basis and facilities

34:50

management means something different to

34:51

them

34:52

and if we could provide a digital

34:55

version

34:56

of that facility's management capability

34:58

again

34:59

the the amount of efficiency that it

35:01

would bring

35:02

plus the accuracy and precision that's

35:05

missing from that

35:06

you know manual process today already uh

35:09

is huge right and so um we think

35:13

well we not only think like we're doing

35:15

it today in those you know specific

35:17

instances

35:18

but does it does it find its way into

35:20

the smart home at some point

35:22

without question wow wow there's a whole

35:24

other industry

35:25

what about zillow so zillow

35:28

they don't let us integrate matterport i

35:32

cheat i put a link on my zillow photos

35:35

and i link to my matterport like i put a

35:37

short link

35:38

but i'm sure i'm violating some rules by

35:41

doing that and zillow if you're watching

35:42

just change the system don't ban me

35:45

but why what what is are they just are

35:48

they trying to take the data

35:49

what's zillow doing well um

35:52

first of all one thing that zillow does

35:55

support today and i see it moving in a

35:57

really positive direction

36:00

they do support in the mls listing it

36:02

there's a field for virtual tour

36:05

and so if you have a url a web link

36:07

which you know

36:08

is what you'd have it once you have a

36:09

completed matterport space

36:12

they are honoring and publishing and

36:14

incorporating that into the zillow

36:16

listing

36:17

and in some cases we're seeing it

36:18

actually get you know positioned pretty

36:20

prominently

36:22

uh in in there alongside even their own

36:24

because i think you know

36:26

what zillow's been uh trying to do is is

36:29

figure out the ecosystem

36:31

they have their own um virtual tour

36:33

offering where you can use

36:35

a smartphone and a 360 camera to capture

36:38

some imagery and give you a bit of a

36:39

look around

36:40

tour um which isn't bad it's a good it's

36:43

a good uh you know starter

36:45

experience for those that want to get

36:47

familiar with the virtual tour but it's

36:49

not matterport and

36:50

um and there's a lot of people that come

36:53

to us and say how do we get matterport

36:54

on zillow like and

36:55

they go to zillow and and say how to you

36:57

know zillow how do you let matt report

36:59

on

36:59

and um you know there's i'll

37:03

what i can tell you is i think there's a

37:06

um

37:06

a good meeting of the minds on this and

37:09

you know zillow is a really important

37:10

platform to the

37:11

overall real estate ecosystem here

37:14

certainly in the u.s

37:16

and i think it's it's uh would be

37:18

valuable for

37:19

all of our respective customers and

37:22

realtors and the like

37:24

um to crack the code on you know

37:27

maybe opening that that aperture up a

37:29

little bit more uh to partners like

37:30

matterport so

37:32

um you know nothing to report as yet but

37:34

i think we're moving in the right

37:36

direction and and just in case uh just

37:38

so you know i

37:39

i had you down here and i just moved you

37:41

up here in case you're wondering like

37:42

why my eyes are up here now

37:44

cause i know sometimes on zoom that's

37:45

like where are you looking so uh okay so

37:47

i mean this makes sense uh

37:50

is it possible though that is is zillow

37:55

like could zillow benefit from

37:58

having like being able to gather their

38:00

own data is is this going to be

38:02

something that's very profitable in

38:03

itself like

38:04

like you if you make uh you know i don't

38:07

know what your average cost

38:08

per thing is i get my bill and it pays

38:10

automatically but let's say it's like

38:11

ten dollars per space hosted

38:13

uh you know is it more profitable to get

38:16

that ten dollars or the data

38:19

yeah so here's what i know

38:22

um and what what brought me to

38:24

matterport

38:25

um alongside my tech career i've been

38:27

doing

38:28

real estate projects since i was

38:32

13. whether i liked it or not my parents

38:34

you know threw me into the mix of like

38:37

fixing up the old house that we would

38:39

buy it's a perfect fixer-upper

38:41

and get to work um i ended up actually

38:43

you know

38:44

falling in love with that whole process

38:46

and uh i've done

38:48

a number of design build projects over

38:50

the last 25 years

38:51

and and i love actually looking at how

38:53

technology can intersect

38:55

with this category in this industry and

38:58

and i've seen it start to you know

39:00

modestly transform real estate and

39:03

um you can look at companies like

39:06

open door as a good example of you know

39:10

where is this all going

39:11

right and they're trying to move to more

39:13

of an e-commerce type model

39:15

and it's perfectly reasonable um

39:19

to imagine a future where you know

39:22

digitization

39:23

doesn't come to just the digital twin

39:24

and what we do but also

39:26

into the transaction right because look

39:28

how e-commerce

39:29

has made it so much more efficient for

39:31

us to shop the retail world

39:33

um now online there's there's a version

39:36

of this

39:38

um that i think will will hit great

39:41

scale at some

39:42

point in time there it's an

39:43

inevitability i don't think it's a

39:45

replacement for the

39:46

the real estate industry as we know it i

39:48

think it changes everybody's roles

39:51

and they will become these you know kind

39:53

of digital nomads

39:54

in the space and there's there's an

39:56

important there's important role for

39:57

everybody to play in that

39:59

and so data no question is

40:03

you know what everybody wants and it's

40:05

not just an open door or a zillow

40:07

i can tell you like keller williams

40:10

compass

40:10

all of these you know modern agencies

40:14

are looking to get an advantage in the

40:17

game

40:18

that is a data-driven advantage right

40:20

what can i know about my properties that

40:22

i have listed and sold before

40:24

and then maybe re-listed again what's

40:26

happened to the property

40:28

you know can we start putting some data

40:30

intelligence behind

40:31

you know this flurry of of transaction

40:34

data

40:35

of course we can right and i think you

40:36

could start to find some you know

40:38

really interesting insights in your very

40:40

own portfolio

40:42

ah okay so so definitely definitely some

40:45

interest or or some competitiveness

40:47

in in going for that data do you think

40:49

there's a there's a risk that

40:51

redfin might do that too i mean what if

40:53

redfin says here use our redfin app and

40:56

do a scan with our stuff instead of

40:57

matterport

40:59

i think look our our view on it has been

41:02

that that possibility has existed for 10

41:05

years

41:06

and you know and matterport's only you

41:08

know gotten bigger and you know

41:10

a greater scale and our view has been to

41:12

be an open ecosystem

41:14

where um if somebody wants to do that

41:16

that's great but let's

41:17

let's also remember that um redfin gets

41:20

access to that data if they want to

41:22

create

41:22

data insights from matterport uh digital

41:26

twins that they've captured

41:28

go for it that's part of our open

41:30

platform right

41:32

we're not the only ones that are going

41:34

to be doing data mining out of

41:36

you know your spatial data for your

41:38

property in fact what we're going to

41:39

be offering later this year is a

41:42

third-party marketplace you can think of

41:43

it almost like the an app store

41:45

where you'll be able to get these little

41:47

add-ons that can do all kinds of things

41:50

to

41:50

enhance the space that you have or do

41:53

some kind of energy analysis

41:55

maybe even give you a quote for home

41:58

security system

42:00

just by being able to automatically kind

42:02

of move through your space and you just

42:04

hit a button and say yes i want to opt

42:06

in

42:06

to any of these you know kind of

42:08

third-party services let them

42:10

you know tour my home either

42:12

algorithmically or

42:13

manually and then just give me a quote a

42:16

bid a proposal on

42:18

you know any one of these different

42:19

things jeez i mean

42:22

that's a that's brilliant if you open up

42:24

an app store for this

42:26

in theory a homeowner who has a scan of

42:28

their property could download the

42:30

the paint quote app and and it

42:33

automatically says

42:34

hey this is how many square feet of

42:35

walls we have uh nobody's walking around

42:37

with a measuring stick

42:38

years it spits it out for you you can

42:41

give it to a painter

42:42

maybe it even says hey based on your zip

42:44

code this is how much

42:45

like anybody can develop an app

42:46

basically off your data is what you're

42:48

saying in this

42:49

matterport app store exactly and then

42:52

you know who wants to have you know 10

42:55

different

42:56

you know paint contractors coming to

42:58

your house scheduling

42:59

you know time to walk through give you a

43:01

bid you don't have to anymore

43:03

you move it all to the cloud to the

43:05

internet and you can have a hundred

43:07

you know uh contractors get you know

43:10

come in and

43:11

uh measure it all up size it all up

43:13

through your digital twin and then

43:14

you just have you know 100 competitive

43:17

bids and you can just choose

43:18

you know the one you and suddenly you

43:20

know everything scales

43:22

and you create an efficient market um

43:24

and that's what this is about is to try

43:25

to help

43:26

you know create some efficiency in the

43:28

overall ecosystem

43:29

of properties when uh when can i

43:33

expect to be able to use or do more

43:36

scans

43:37

outside i'm gonna pull one up here i

43:39

usually have to do my scans

43:42

uh pretty late in the day or early in

43:44

the morning

43:45

uh pull this up here let's see uh and

43:47

that's because you know it seems like

43:49

the more

43:50

sunlight oh i think i may mess up the uh

43:53

i'll just ask the question

43:54

before trying to show this uh it seems

43:56

like basically your data

43:57

it gets lost if there's too much sun

44:01

when when can we expect that to change

44:02

and then we could scan outside

44:04

and get those exterior data points as

44:06

well yeah so

44:08

what's happening there and this is this

44:10

is primarily one of the

44:12

you know tricks with the pro 2 camera

44:15

because our depth sensors that are on

44:16

board it's not lidar

44:18

um it's a structured light sensor and so

44:21

it's a beam of light that shoots out and

44:23

back and basically allows us to you know

44:25

determine based on the speed of the

44:27

return

44:28

um how far away a wall is or a surface

44:32

that you're pointing at and if there's

44:33

sunlight or

44:34

glare it's going to throw the beam off

44:37

right so that's what's happening

44:38

now lidar uses a laser that doesn't

44:42

you get impacted by uh sunlight and

44:45

glare in the same way

44:47

and so if you're using that's why you

44:49

know especially for large

44:51

you know like a hotel project but

44:52

commercial building um

44:54

we see all our customers using

44:58

uh the leica blk right because it's it's

45:00

impervious to that limitation

45:03

you can kind of you know shoot any time

45:04

of the day so that's one thing oh so i

45:07

could take the leica

45:10

likely you'll have i could take the like

45:13

far better consistency outside now

45:15

what's the other device that

45:16

happens to have a lidar sensor on it

45:20

there you go right the iphone 12. so

45:23

this this will help in shooting

45:27

outdoor in a mini version of like a blk

45:30

wow i'm going to try that after this

45:34

i'm going to take you up on that wow

45:35

here's the challenge i'll give you just

45:37

a tip on it and

45:38

also it's it's why you know um

45:41

why the iphone isn't going to replace

45:43

the blk tomorrow and big commercial

45:46

projects and it's not even going to

45:47

necessarily give

45:49

the pro 2 a lot of run for the money and

45:52

that is focal length

45:53

so um not unlike the

45:56

the face scanner that does face id that

45:59

has a very short range

46:01

where it's a 3d map of your facial

46:04

contour it's good for about a foot maybe

46:06

two

46:07

and um the lidar sensor out the back of

46:10

the iphone 12 is better but

46:14

not much better you might be getting

46:16

closer to

46:17

10 feet uh something like that maybe

46:20

you could get to 15 if the conditions

46:23

are you know are right

46:24

um but mileage varies a bit as and it's

46:27

a new new sensor new

46:28

new technology for apple um we've been

46:31

working closely with them on this

46:34

and um you know we've got a great

46:35

solution as a beta product and if you

46:38

download the capture app for matterport

46:39

and you have this device you should try

46:41

it because

46:42

it's it just adds a level of finesse

46:45

um to the to the mesh and the 3d model

46:48

that's

46:48

you know for a handheld device is pretty

46:50

spectacular and so if you're going

46:52

outside you just can't be too far away

46:54

from the structure or the lidar isn't

46:56

going to be giving you the benefit so if

46:58

you're like 25 feet away

47:00

shooting back in the building not as

47:01

much but if you're you know if you're

47:03

within 10 feet

47:04

you can get pretty good results i

47:06

recommend it

47:08

so you had mentioned earlier the goal is

47:11

to sort of

47:11

democratize this this real property data

47:14

are you ever going to stop us from being

47:16

able to buy gamestop

47:20

i don't know

47:23

because vlad over at robin hood i had

47:25

interviewed him on the channel and and

47:27

one of the things he talks about is

47:28

democratizing

47:29

finance and stocks uh but uh more more

47:32

realistic question here

47:33

is there a future of uh of investing in

47:36

bitcoin at matterport

47:38

like elon musk has done um

47:41

you know it's it's the short answer is

47:46

most likely not for a while and and why

47:49

is that well

47:51

um i think we're still trying to

47:54

get comfortable and confident with what

47:56

are the what what is the true

47:58

virtue and advantage of uh crypto

48:02

and let's just go with bitcoin for the

48:03

moment that seems to be the

48:05

the hot flavor of the quarter

48:08

um and you know is it really

48:12

you know impervious to fluctuations in

48:14

the economy

48:15

and in inflation and some say yes and

48:18

then we

48:19

we see you know as recently as the last

48:21

few weeks like maybe not

48:23

um and so uh

48:26

i love all of our friends out there in

48:29

the

48:29

in the industry in the category

48:31

experimenting and making some

48:33

meaningful you know bets but ones that

48:35

they can afford

48:37

uh to figure it out for us like i'm all

48:39

for jack dorsey making his investments

48:41

on the square frontier i'm all for

48:43

elon musk and everybody you know

48:45

experimenting and even the investment

48:46

banking category like let's

48:48

let's see but you know for matterport

48:51

uh you know we're one degree of

48:53

separation maybe two

48:55

away from the financial markets where

48:57

that needs to be

48:59

you know immediately on the radar

49:01

there's 101 ideas sure within my own

49:03

company people

49:04

with concepts of how we could you know

49:07

take crypto and and do something very

49:09

interesting for the built world but

49:11

i'd say it's still early days for us we

49:12

got so many other fish to fry and just

49:14

building a fantastic experience for our

49:17

customers that you know

49:19

our hands are pretty full gotcha that

49:22

absolutely makes sense

49:23

okay very interesting so uh big thing

49:26

now

49:26

is is scaling are you having issues with

49:29

matterport adoption in other countries

49:31

or are you seeing the same thing that

49:33

you're seeing here in the united states

49:34

where

49:35

once people start using it they go oh

49:37

wow yeah i got to keep doing this

49:39

um yeah what i so

49:42

yes we're in a hundred and we've

49:43

matterported buildings in 150 countries

49:46

now and growing like that's

49:47

doubled in less than two years um

49:50

so the uh the international

49:54

sort of connection to the value

49:56

proposition is without

49:58

question there it is universal um it has

50:01

i think that sort of walk up

50:02

aha you know moment to it um the

50:05

the challenge is a little bit different

50:07

just in that you know that's a pretty

50:09

distributed

50:10

challenge for us right with with so much

50:13

um

50:14

global uh acceptance and adoption is

50:17

now just getting organized about how we

50:19

meaningfully go after

50:21

these regions so you know we've set up a

50:24

headquarters

50:25

in singapore which is where our asia

50:27

pacific operations

50:28

you know is centered with a fantastic

50:32

team that's small but growing um we've

50:34

got a more mature group

50:36

out of london which has been

50:38

headquarters for all of europe and

50:39

middle east

50:41

um and in all those cases for us in in

50:44

part of why we're

50:45

you know um excited about 2021 here

50:48

is um you know to really put some scale

50:52

resources to work to just

50:54

expand um and speed up that go to market

50:58

in those you know key growth areas for

51:01

us because

51:02

you know in in just china and india

51:04

alone

51:05

they represent two of the most dense

51:07

building stock

51:09

countries in the world with billions of

51:12

buildings to be matterported

51:14

um and that's just two countries and

51:16

there's some

51:17

surprising opportunities all across

51:20

these regions that have just yet to be

51:23

uh i think fully uh tackled that

51:26

we want to get after absolutely question

51:29

from the chat

51:30

any uh thoughts on virtual reality but

51:33

obviously

51:34

you're creating these spaces we can put

51:36

in virtual furniture and that

51:38

i want to put on a mask and i want to go

51:40

walk through you know will smith's house

51:42

and

51:42

and play call of duty walking around

51:44

this house you know what when how long

51:46

are we

51:46

away from that ten years five years it's

51:49

there today

51:50

you can find matterport spaces in oculus

51:52

you can go on facebook they're a partner

51:54

of ours

51:55

we've done museums around the world you

51:57

can drop on a headset

51:58

and literally walk through they've been

52:00

richly matter tagged with videos and

52:02

information

52:04

um it's actually quite a quite a popular

52:07

category

52:08

in the last year or so has been the

52:10

adoption of matterport

52:12

in museums because most of them have you

52:13

know shut uh in the last year and we're

52:16

creating a virtual alternative that some

52:18

are saying is even better

52:20

and so we've supported you know vr

52:23

integration for a while and to your

52:25

point

52:26

it matterport already is essentially a

52:29

virtual reality so

52:30

the headset is just a different version

52:32

of a screen if you will and yes it's

52:34

more immersive it's really cool

52:36

um no doubt about it and so as again as

52:39

a platform company for us it's just

52:41

saying

52:41

let's make sure we support that medium

52:43

as well right so if you create a space

52:46

you should be able to you know put a

52:47

headset on and go

52:49

got it wow that's incredible uh you know

52:52

i i know

52:53

um and we're not gonna touch on the the

52:55

spac

52:56

process and that you know once once

52:58

you're public uh

53:00

any any like what what happens if

53:02

somebody comes around a big company

53:04

comes around and says hey

53:05

we'd love to buy you out is that an end

53:07

game for matterport or is right now just

53:09

the focus scaling

53:11

um well you know it's it's sometimes

53:15

more likely that something like that

53:17

happens before you go public to

53:19

you know before it your your position in

53:22

the market changes as

53:24

as ours is um but at the same time it

53:26

also raises your profile right so other

53:28

companies will will pay attention and

53:30

and maybe something like that occurs but

53:33

um

53:33

the reason we are are doing this

53:36

transaction and going the route of a

53:38

public company

53:39

is to scale uh 100 and

53:42

um and we've got a phenomenal plan

53:46

to do this and um

53:49

while there are you know any great

53:51

company if it's a great company maybe it

53:52

does become an acquisition target

53:54

for us we're going out and partnering

53:57

with all of the best

53:59

companies in technology best companies

54:01

in real estate

54:03

uh and creating i think what i think is

54:06

a

54:07

really long term durable ecosystem

54:10

uh that's been the strategy to be

54:12

totally transparent

54:13

and um and i think that's that's going

54:17

to lead to us building the next big

54:18

platform in tech

54:20

wow wow i i don't i don't i keep seeing

54:22

this question in the comments people are

54:24

asking about crime scenes

54:25

have you sold these to police

54:27

departments it

54:28

i it is a use case for sure

54:32

for sure wow i mean i mean

54:36

it's actually a really good question

54:37

because i mean i think about it like

54:39

you can't really go back to a crime

54:41

scene after like they take all their

54:42

photographs

54:43

they probably have thousands of

54:44

photographs you know the far the mid

54:47

the close photo with all the triangles

54:49

and stuff they put around

54:50

but then at some point the crime scene

54:52

gets cleaned up and you're gone you can

54:53

never revisit the crime scene again

54:54

yeah i mean the theory here you can just

54:56

put on an oculus or whatever

54:58

virtual reality tech in the future and

55:00

you're at the kind of scene again

55:02

yeah exactly you can literally be there

55:04

and you can be there maybe even moments

55:06

after

55:07

you know it occurred and it's also um

55:10

been used for um crime scene reenactment

55:13

so you've seen this before where you

55:15

know uh same kind of thing

55:17

somebody will go in with some tape

55:18

measures and things to us and they'll

55:20

try to recreate it in

55:21

cads have this sort of low-fi 3d

55:24

re-enactment of

55:26

you know here's the bedroom here's the

55:27

living room here's where the person

55:29

entered and the sort of forensic files

55:31

or uh you could you could do it

55:34

with matterport uh and it'd be the

55:36

actual

55:38

space right um and so that has

55:41

that's happening yes that's incredible

55:44

yeah i'm just thinking like

55:45

forensic files you get these like funky

55:47

graphical

55:48

geometries and then just these lines

55:51

bullet went this way

55:52

but you could actually put that into a

55:54

space yeah

55:56

yeah and especially you know you can

55:57

zoom up and you can get the the

55:59

dollhouse view and that bird's eye view

56:00

so you could see

56:02

the flow of you know the property and

56:04

how how potentially

56:05

rooms were um uh adjacent to one another

56:08

in a join

56:09

so that whatever however you're trying

56:11

to explain your case of

56:13

how something you know actually happened

56:15

you you can do it with accuracy

56:17

i have uh yeah somewhere i had a tenant

56:21

reach out to me once and they're like

56:22

hey kevin there's a

56:23

there's a leak on the uh on the kitchen

56:26

ceiling

56:27

and so i pulled up my matterport scan on

56:29

it and

56:30

just to purposefully go to dollhouse and

56:33

i zoomed in to where the point of the

56:34

leak was

56:35

and i'll pull it up if i can if i can

56:37

find it i just have so many of these

56:38

scans

56:40

oh i have it oh my gosh you got to see

56:41

this but i'll just pull it off really

56:44

quickly because it's

56:44

too funny but uh yeah so let's go into

56:48

it here really quick

56:49

so this is my this is one of my first

56:51

matterport scans

56:52

ever and this was a renovation that we

56:55

did

56:56

and the tenant complained that there was

56:57

actually a leak

56:59

uh let's see here uh oops sorry uh wrong

57:03

that's actually showing the wrong screen

57:04

here let's uh that's jim cramer

57:06

hold on i gotta find it where's my

57:08

computer uh

57:10

there we go that's much better okay

57:12

perfect

57:13

uh okay let me make sure okay you could

57:16

see that

57:16

well right yep let me make sure yes okay

57:20

we're good

57:20

okay cool sorry so uh this

57:23

basically up here is where a leak was

57:27

and so what we did is we just came in

57:30

here in dollhouse viewed

57:32

like you're talking about here zoomed in

57:35

uh

57:35

oh i'm zooming into the screen here but

57:37

anyway we zoomed in

57:39

sorry i'm resetting my uh setup here

57:41

yeah there we go

57:42

zoomed in to where this was and in the

57:44

dollhouse we realized that it was

57:46

literally right under the toilet

57:48

where this leak was probably coming from

57:51

and it was it just ended up being the

57:52

wax ring i mean just

57:53

the use cases it's just like specific

57:55

things like that it's just

57:56

crazy that we could solve these things

57:59

yeah and um you know

58:02

uh and soon you also being able to add

58:07

things like an annotation to that model

58:09

so

58:10

if you did do that repair wouldn't it be

58:12

great to know like i replaced

58:14

the o-ring or the seal in that toilet in

58:16

that bathroom on this date right so

58:19

similarly to having your your service

58:21

records on your vehicle right which is

58:23

all

58:23

nicely organized for you and attached to

58:26

your vin number and with your dealership

58:28

it doesn't exist for houses but wouldn't

58:30

it be great you know if you had that and

58:32

you you knew visually

58:34

which one it was versus just having a

58:35

receipt in a drawer for

58:37

you know i i fixed a toilet well which

58:39

one

58:41

yeah and in theory then that could in

58:44

the future just be synced up to your

58:45

insurer

58:46

as well and oh wow this person's

58:48

actually improving the property over

58:50

time which

58:50

i know uh you've got companies like have

58:52

you heard of uh

58:53

is it who is it who's doing lemonade

58:55

lemonade insurance yeah

58:56

yeah all everything's just ai based have

58:59

you talked to them

59:00

yep yeah okay that that me

59:04

is really interesting because they're

59:06

trying to do ai claims

59:07

they're trying to do ai quotes basically

59:10

for people or everything's chat based

59:12

you guys would be a match made in heaven

59:14

yep

59:15

yep i mean they're doing really cool

59:17

stuff as you probably have seen they do

59:19

insurance for pets

59:21

super innovative like you know kind of

59:23

uh

59:24

pushing the um and it's all data driven

59:26

right and

59:27

so is matterport and and yeah we're

59:30

we're

59:30

we have um you know

59:34

probably 10 of the largest insurance

59:36

companies in the u.s our

59:38

partners and customers of matterports

59:41

today

59:41

and we're working on you know what i

59:44

really want to see is us

59:45

pushing towards those value propositions

59:47

for the consumer the homeowner the

59:49

renter

59:50

um you know all the way out to like you

59:52

know

59:53

lower uh uh insurance policy fees and

59:56

things like that right

59:58

faster claims all that stuff so uh it's

60:01

it's uh it's all in motion

60:05

that's that is so exciting i mean just i

60:06

just think about like even just the

60:08

amount of

60:08

insurance fraud that exists and how many

60:11

how much

60:11

money matterport scans would save the

60:14

insurance industry like i think of it as

60:15

a real estate broker investor but

60:17

it's it's it's a it's a problem that has

60:21

you know

60:22

challenged that industry for gosh over a

60:24

century

60:25

um it's it's a hard one you know but not

60:28

so hard

60:29

uh when you have an unmistakable system

60:32

of record like matterport that you can

60:34

refer to as your source of truth um

60:37

it's it's really really powerful and you

60:40

know

60:40

and it's a it's a low-cost low um

60:44

uh footprint you know piece of data to

60:46

store an archive for the life of a

60:48

building

60:49

like yeah that's it's negligible

60:52

against the value of the building so um

60:55

you know we we're excited about it right

60:57

um that's why when we started

60:59

matterport for iphone we we're saying to

61:02

everybody

61:03

one space one building one house one

61:07

you know vacation rental for free like

61:10

scan it

61:10

and go like let's get let's get a

61:13

billion buildings you know

61:14

up on matterport on the free tier why

61:17

not it's

61:18

you know with a with a smartphone and

61:20

especially if you happen to have lidar

61:21

like it is a high performance

61:24

you know uh freebie probably of

61:27

the best i've seen and uh and the power

61:30

is

61:31

is not just in you know the scan and

61:34

being able to walk through but again all

61:35

these different things we were talking

61:36

about that we're going to open

61:38

up in that ecosystem and the marketplace

61:40

and

61:41

using it as a property management you

61:44

know system for you that's visual

61:46

easy to understand um it's the best way

61:48

to maintain your property

61:50

yeah here's a good question somebody's

61:52

asking about maybe even like potential

61:54

for

61:55

for failure prediction uh you know hey

61:57

this

61:58

looks like there's a leak forming here

61:59

maybe the ceiling fan looks like it

62:01

could be falling down soon or something

62:03

like that just

62:03

little alerts like that is that

62:05

something that is far out

62:07

it it's not far out at all it's it's all

62:09

right here

62:10

it's because it's available data and not

62:13

only

62:13

you know failure predictions but stuff

62:16

that's out of code

62:18

right that's falling out of compliance

62:19

like you know that stairway

62:21

has no railing like or you know uh

62:25

the plug sockets are on the are too low

62:27

to the ground

62:28

like they need to be at least whatever

62:30

12 inches or or 60 whatever it might be

62:33

in your

62:34

city or you know town state's

62:36

jurisdiction

62:37

so many things like that right on the

62:39

inspection side of the house

62:42

um that when you for example

62:45

remember when you're buying a house or

62:47

selling a house especially when you're

62:48

buying

62:49

there's not only the appraisal but then

62:50

you usually like pay a contractor to

62:52

come in

62:53

and you know go tell you as their you

62:56

know is the foundation

62:57

cracked or are these pipes going to

62:59

explode or what have you

63:00

the matterport model can see a lot of

63:02

things too right

63:04

um that you can have a lot of people

63:06

look at and inspect and measure

63:08

without having to even set foot in the

63:09

property

63:11

now i know this might be a little step

63:14

out of

63:14

your wheelhouse and i touched on a

63:16

little earlier it's just something that

63:18

comes up so much and you've

63:19

you are clearly so knowledgeable about

63:21

lidar and this vision

63:23

i i gotta ask elon's thing is

63:26

no lidar just cameras only we touched on

63:29

this earlier but

63:30

every other automaker is gotta have

63:32

lidar gotta have a lot of air gotta have

63:33

lidar

63:34

i know you say it's possible with these

63:36

3d scans to do this with just the camera

63:38

attack which kind of reiterates the elon

63:40

argument

63:42

do you do you think there's is elon

63:44

going to hit a wall at some point with

63:45

the self-driving and again i know it's a

63:47

little out of your wheelhouse but

63:48

i got to ask because you you're so

63:49

experienced on this vision stuff

63:51

yeah so the reason that um there's

63:55

so many companies embracing lidar is

63:58

um the the speed at which

64:01

it has to see and respond right

64:05

so different from matterport where our

64:07

scans are just a moment in time but it's

64:09

asynchronous

64:11

right you're driving a car down the road

64:12

in real time and you're going 70

64:14

and stuff's coming at you and and so you

64:18

know can it all be

64:19

seen with an rgb you know camera lens or

64:22

a video camera

64:23

and processed and interpreted and can

64:25

the distance be triangulated with enough

64:28

accuracy

64:28

in time you know it's a course correct

64:32

don't know like you know it it's it's a

64:35

work in progress

64:36

i have a tesla i have since 2012. and

64:39

wow and i was one of the beta customers

64:42

for the first model s rollout and then

64:44

you know i'm i'm in my model 3 with full

64:47

self driving

64:48

and you know it's it's a hair raising

64:50

beta

64:51

put it that way like when you're driving

64:52

up and down in silicon valley on highway

64:54

101 like

64:55

it's not for the faint of heart i'll

64:57

i'll tell you that but you've got

65:01

was that you you got in on the beta oh

65:04

yeah

65:05

oh man i gotta come up there now come on

65:07

man i want the beta

65:09

it's it's it's um it like i said

65:12

it i'm i'm a believer that like you know

65:16

with enough data you can get there and

65:18

he's built

65:19

you know a data network like we have you

65:21

know instead of it being

65:22

you know tens of thousands of people out

65:25

there scanning

65:26

properties it's tens of thousands now

65:28

hundreds of thousands or maybe over a

65:30

mil maybe

65:30

probably about thinking of those that

65:32

have you know enough

65:34

uh data from the vehicles coming but you

65:36

know hundreds of thousands of data

65:38

points

65:38

you know to train their engine on and so

65:41

um

65:41

they're doing it in in a little bit

65:43

different way

65:45

than some of these other guys who are um

65:48

uh you know strictly basing it on sensor

65:51

technology

65:52

and and i think look i think both ways

65:54

are

65:55

are reasonable but the use case being a

65:57

little different from matterport in that

65:59

you have to be able to

66:01

process respond and learn in real time

66:04

is a whole different ball game

66:06

got it got it i i see a comment did you

66:08

used to work at apple and ebay

66:10

i did yes and google

66:13

how was that and google wow you've been

66:16

all around

66:18

um you know great

66:21

great um i'll i'll share one you know a

66:24

couple of anecdotes

66:25

i i think anybody who's you know

66:27

pursuing a career not even just

66:29

in tech but you could be an accountant a

66:31

lawyer

66:33

finance person everybody should

66:37

do a tour of duty working at such an

66:39

amazing purpose driven company like ebay

66:42

i mean creating

66:43

economic empowerment for 190 countries

66:45

around the world like

66:47

i mean it was a gift and a privilege to

66:50

be there i was the first chief product

66:51

officer

66:52

at ebay in an effort to really restore

66:54

product and innovation-led

66:56

uh thesis for uh what was a 20 year old

67:00

company at that time

67:01

um it was a really exciting time to be

67:03

at ebay and one of the things i loved

67:05

about it by the way i thought was so

67:06

fascinating is

67:07

there's a whole real estate category in

67:09

ebay that not a lot of people

67:11

pay attention to but you can go buy you

67:13

know wonderful piece of land in arizona

67:15

like five acres

67:16

for a pretty good price like um right on

67:20

ebay

67:20

um and of course now modular homes and

67:23

you know

67:23

shipping container homes and all kinds

67:25

of interesting things are popping in

67:27

that category

67:28

um and uh you know i i feel like it's

67:31

it's helping to nudge

67:33

you know a little more of that

67:34

digitization of the whole property

67:36

industry

67:37

in the right direction uh and at apple

67:40

it was a great experience too in all

67:43

these cases i i went in to try to be

67:46

uh to do something fairly disruptive and

67:48

entrepreneurial but in these sort of

67:49

larger established

67:50

companies and uh and i was at apple

67:53

during steve's last

67:55

you know kind of run and uh which was

67:58

just an extraordinary time to

67:59

via the company and um first product

68:02

that i

68:03

brought to life in the world of of

68:05

ecommerce first sort of

68:06

like all online launch was the ipad one

68:10

um why in the world does uh

68:15

do we all need a giant iphone this thing

68:17

like you know people made fun of the

68:19

name

68:19

the tablets had failed a hundred times

68:22

over from dell and every other company

68:24

like this is this is apple losing its

68:26

way and then

68:27

of course it went on to become like one

68:29

of the most successful products in the

68:31

company's history and

68:33

all of the trends and the

68:34

naysayers and

68:36

and i i saw inside that company just

68:39

incredible

68:40

stamina and durability to ignore public

68:44

opinion and like

68:45

just continue to stay focused on

68:47

bringing great products to market

68:49

regardless of what the spectators

68:51

you know would say because the noise

68:52

could get pretty loud

68:54

um and i give that company such enormous

68:58

props for even today like just

69:00

continuing to do amazing things

69:03

that i mean that is that's really

69:04

incredible and i'm sure that's helped

69:06

you a lot

69:06

at matterport because i mean in any kind

69:08

of business you start you get those

69:09

naysayers i i it's still one of the

69:12

reasons i love your company so much is

69:14

because

69:15

so many people still don't see the value

69:18

like the the opportunity to grow

69:20

it like into the spaces is unreal

69:24

yeah and you know and we hear that too i

69:26

mean it's

69:27

it's 2021 we've been through coveted and

69:30

sheltered in place and

69:32

you know we 10xed our customer base

69:35

last year and um uh

69:39

and yet there's plenty of people who

69:40

just say like you know

69:42

virtu i don't you know i don't

69:43

understand that there's really any value

69:46

beyond a good old-fashioned open house

69:48

and great photography

69:50

you know on the website and you know

69:53

i don't they don't argue with them i

69:55

actually take the feedback as a learning

69:58

instrument to say okay well what do we

70:00

need to do to position

70:02

matterport more squarely you know to

70:05

drive the answer to that you know proof

70:07

point right through the

70:09

living room window so to speak right um

70:11

and it's

70:12

it's always um informative that way and

70:14

one of the big things i've

70:16

taken away especially from uh

70:19

all three of them google apple and ebay

70:21

these are extraordinary

70:23

customer-centric companies um relentless

70:26

at putting the customer at the center of

70:29

everything they do

70:30

and um and i'm really bringing that to

70:32

matterport and it's a work in progress

70:34

but

70:35

it's it's a big deal we've hired some

70:37

phenomenal

70:38

uh just hired an incredible woman into

70:41

our head of customer

70:42

running a huge global customer operation

70:45

for us

70:45

and that's not just customer support

70:47

that's that's kind of redefining how we

70:50

will position ourselves

70:52

you know with the the very constituency

70:54

that

70:55

that's brought gotten us this far right

70:58

and

70:58

you're going to see some really really

71:00

great things i hope but i'll check in

71:01

with you you can tell me but

71:03

um you know we're we're really investing

71:06

uh big time and bringing a ton of better

71:09

um more conscientious

71:11

uh support but also more value

71:13

proposition that we just want to

71:14

stuff into the matterport offering that

71:17

you're already a part of

71:19

um and not in a commercial upsell kind

71:22

of way but just

71:23

you know we've got so many great

71:24

customers that have been with us for a

71:26

decade now

71:27

um and we just want to keep pouring

71:29

value into the platform and the

71:31

you know the system you're already using

71:33

and that's where like all those data

71:34

unlocks you're going to see just a ton

71:36

of stuff

71:37

um come out that um hopefully the

71:40

reaction will be that

71:41

you know how i've always used matterport

71:43

it's been great but you know

71:45

um now that i have these new features i

71:47

don't know how i could have ever lived

71:48

without them in the past

71:50

wow it now er what about like churnwiser

71:53

are you getting a lot of new competition

71:56

or or is this kind of just like a tesla

71:58

verse

71:59

who's next well

72:02

um we look we we we do have an advantage

72:05

of being first mover

72:07

but also for scalar um and so i think

72:10

the

72:10

the volume of spaces we matter port you

72:13

know

72:14

in a given day or even a given hour

72:16

sometimes is bigger than

72:18

a lot of these other companies combined

72:21

i mean it's it's just not even in the in

72:23

the same zip code but i don't say that

72:24

um you know uh arrogantly that's not so

72:28

much the point it's just

72:29

we do have scale it doesn't mean that

72:30

you can't have a phenomenal newcomer

72:33

that's you know got a breakthrough

72:35

technology doing something different

72:36

and maybe better than matterport uh and

72:40

and in fact you know what we're trying

72:42

to do here is create greater

72:44

adoption and acceptance of this this you

72:46

know market as a whole

72:48

and so we were a small company once i've

72:50

done plenty of startup companies before

72:52

those big ones that that i spent time at

72:55

and um and i have great respect for the

72:58

entrepreneurs

72:59

in that regard and what we've done in

73:01

fact in many cases is instead of

73:03

looking to any of them to figure out how

73:05

to you know bury them or

73:08

you know just outrun them or outgun them

73:11

we try to create some interesting

73:13

collaboration opportunities where we can

73:15

bring some of these innovators right on

73:17

top of our rails

73:18

and do some things you know with the

73:20

matterport space and start there

73:23

right i'll give you one simple example

73:25

there's a cool company

73:27

called all seated and it's a

73:30

it's a startup company that does virtual

73:33

digital

73:34

event planning and uh and it's it's a

73:37

fantastic

73:38

um business and what do they do that you

73:40

pick a hotel or a banquet facility or

73:43

something we might want a wedding

73:44

and then you would go into the process

73:46

of laying it all out

73:48

how many people will it fit does it have

73:50

the right you know size dance floor

73:51

whatever

73:53

right down to like silverware and you

73:55

know place settings on the tables it can

73:57

all be done digitally

73:59

and um you know that could be a business

74:01

on its own that

74:02

is you know tasked with having to go

74:05

create the digital twins of all of those

74:07

event spaces around the world just to

74:10

get started

74:11

right or you can partner with matterport

74:14

where we have

74:15

25 000 event spaces uh

74:18

already in the library who would love to

74:20

have your

74:21

value-added space planning tool on top

74:23

it's only going to drive more business

74:25

you know to that venue

74:27

right and wow and so our minds are much

74:29

more towards

74:30

how can we create a one plus one equals

74:32

five here with some other

74:34

like-minded companies that are trying to

74:36

do cool stuff

74:37

in and around virtualization of property

74:40

that's fascinating because i mean

74:42

uh before covid i i would do events for

74:44

real estate

74:45

i would never really know what i was

74:47

going to get

74:48

if i went to vegas let's say and i had

74:51

to hit up

74:52

10 or 20 different venues for a quote

74:54

i'd get a paper quote maybe one picture

74:56

of a potential room or whatever

74:58

but in theory you're saying i could

75:00

almost just reverse

75:01

this and in the future just search based

75:03

on the 3d tours i like the most

75:06

yeah yeah by the way

75:09

uh my new favorite uh pin board on

75:12

pinterest

75:13

is my matterport board and um

75:16

and who knew but one of the coolest

75:19

places to go

75:20

discover amazing matterport 3d

75:24

you know digital twins of extraordinary

75:26

properties and historic landmarks around

75:28

the world is on pinterest

75:30

and once you get going and pinterest as

75:32

you know they have all they'll suggest

75:34

more like this

75:35

and if you like this kind of stuff

75:37

they'll show you more

75:39

and there are i mean hundreds of

75:42

thousands

75:43

of matterport spaces out there um

75:46

that's just fun to consume fun to go

75:49

explore

75:50

and and in many cases it's a good source

75:52

if you you know want to put your

75:54

headset on and really go immersive with

75:56

them uh that's where you'll find a ton

75:58

so a little extra uh tip there but it's

76:02

it's really

76:03

interesting more so than trying to

76:05

search for them or discover them on

76:07

google

76:07

which you can find you know a matterport

76:10

of just about anything

76:11

this is one where the browse experience

76:13

just unfolds a really interesting

76:15

you know portfolio i noticed like

76:18

peloton

76:19

they will steadicam video a path for

76:22

let's say a biker or whatever and play

76:24

that back to you as if now you're riding

76:26

through a space

76:28

is there a potential connection here

76:30

between uh

76:31

you know virtualized fitness so to speak

76:33

or being able to immerse yourself into

76:35

that museum while you're working out or

76:36

something like that

76:37

that's interesting idea um uh

76:41

short answer is yes right and as a

76:44

platform business what we hope to be

76:46

able to do is

76:47

you know create the flexibility of how

76:49

and where you deploy this content

76:52

uh into all sorts of use cases without

76:55

again like having to do any special

76:56

coding or anything because remember you

76:58

can

76:59

view a matterport space on any device of

77:02

any kind

77:02

phone tablet with no special hardware or

77:05

software really

77:07

um and so why not right

77:10

it's the the possibilities of you know

77:13

where you could bring these

77:15

these virtual experiences to our um

77:18

are fascinating and we've done um you

77:21

know some of the

77:22

most interesting pharaohs tombs in egypt

77:25

uh matterported um

77:28

uh various pieces of the eiffel tower

77:32

uh i mean literally like the the list of

77:34

historic

77:35

landmarks and old you know ancient

77:38

buildings and structures and things

77:40

matterport there's a whole category of

77:42

what i described as building archaeology

77:45

where they don't want to see what

77:47

happened to the notre dame cathedral

77:49

you know happen again where you lose a

77:52

treasured piece of history

77:54

with no digital system of record either

77:56

to recreate it or to

77:58

you know um you know at least be able to

78:01

archive what it once was

78:02

and so the matterports are super

78:06

easy and and precision way to do it for

78:09

you know again very very low cost

78:11

relative to the value of some of these

78:13

special

78:14

places yeah oh gosh it's so easy i mean

78:17

i i i think it was like five years ago

78:21

first time i started talking about

78:23

matterport photographers like

78:24

no i i don't want to be a button pusher

78:26

i you know

78:28

i want to take 10 minutes to set up each

78:29

shot and i'm thinking myself

78:31

what you want to make yourself have more

78:33

work why

78:34

like where it makes it so easy i can

78:36

pull the stills right out of there why

78:37

would i do that i mean

78:39

not not to not to like you know slam

78:41

photographers there's obviously there

78:43

there's so many cases where photography

78:44

is so important but i mean for selling

78:46

real estate golly i mean just

78:48

it's so incredible what you can do with

78:50

your technology any final thoughts that

78:51

you have

78:53

well you know um uh one related to that

78:56

that's interesting i think

78:58

the role is going to evolve of the

78:59

realtor you know like as we talked about

79:02

like things move online

79:03

transactions go digital i think i think

79:06

it evolves it doesn't go away

79:08

i think the photographer role evolves as

79:10

well um

79:11

and you're gonna move into what do you

79:13

do after you capture it right all of the

79:15

digital enhancements and the layers of

79:17

value

79:18

you can add to the space is is a really

79:21

really um

79:22

powerful and there are i can tell you a

79:24

lot of enterprise customers who will pay

79:27

you know to have these extensive

79:28

customization layers you know put on top

79:30

just like google maps has all of these

79:32

different layers right for

79:34

shopping or entertainment or you know

79:36

coffee shops whatever

79:38

um you the same can be said for this

79:41

kind of spatial data as well well and

79:44

you know we

79:44

did a um a house in san francisco

79:48

really extraordinary um housing

79:50

development project took ten years

79:51

to build this house it was on two

79:53

historic lots in the city right at the

79:54

bottom of the curvy street uh lumbar

79:57

street

79:58

and um at the end of the day we when we

80:01

scanned it we we did it with everything

80:03

we used the laca

80:04

we used our pro 2 we used 360 cameras

80:07

and it's when we actually

80:08

announced smartphone capture but we also

80:11

did it at three different times of the

80:13

day because it was an extraordinary view

80:14

property so we did

80:16

basically a sunrise uh daytime and then

80:19

a sunset

80:20

and actually did a fourth uh for the the

80:22

master suite of a night view

80:25

and so um that's where where a little

80:28

bit of photography and creativity comes

80:30

into play

80:31

where if you shoot the place four times

80:34

at four different times of the day you

80:35

can

80:36

get something that you don't get if

80:38

you're physically at the open house like

80:40

unless you're gonna wait there you know

80:42

for 12 hours to see what the sunset

80:44

looks like on this property or

80:46

see what the sunrise looks like or what

80:47

dusk is like and

80:49

then you want to catch it in every room

80:50

right out every view yeah

80:53

we captured this and it was just it blew

80:55

people's minds it's very simple

80:58

thing to do there's no special you know

81:00

so it's just a different you know sweet

81:02

point

81:04

that was done at a different time of the

81:06

day so they're all

81:07

in the model and you just could be

81:09

standing in one you click to the one

81:11

next to it it goes

81:12

a little darker and then you click the

81:14

one next to that and it's totally dark

81:16

out

81:16

and it's a very simple thing but like

81:19

when buildings become

81:20

data like this the ability to manipulate

81:23

the experience

81:24

in ways that you know just kind of go

81:27

beyond the standard it's just right

81:28

there like the right

81:30

at your fingertips and you know i i hope

81:33

that

81:33

more people continue to take matterport

81:36

as a platform and try to hack

81:38

and invent and you know push the

81:40

envelope with a medium because there's

81:42

so much potential for this far beyond

81:44

even what we're doing

81:46

the honestly the the app store that

81:49

just that mentioned right there in my

81:51

opinion is so

81:52

game changing because really what you're

81:54

doing is you're

81:56

letting the world decide well what do we

81:58

want to do with this data

82:00

and then you're letting them do it and

82:01

then you're letting them probably sell

82:03

that app or whatever and

82:05

and and then boom everybody is happy to

82:06

do it yes

82:08

yeah yes yes

82:12

oh my gosh wow well this is this is

82:15

so incredible uh wow i have to say first

82:17

of all a huge thank you for coming on me

82:19

you've been so insightful

82:20

and i'm even i was even asking about

82:22

things so i'm not even related to

82:23

matterport you've got

82:24

great insights i i have to really thank

82:26

you for that gosh uh

82:28

you know any any uh last things you want

82:31

to share with the audience uh

82:33

first of all again thank you so much ceo

82:34

of matterport this is this has been a

82:36

blast

82:36

uh you know what should people do do

82:38

they reach out to you do they reach out

82:40

to go to mad report and buy a camera

82:41

download the app how do you how do we

82:44

want to say goodbye

82:45

yeah first of all kevin thank you for

82:48

having me this is

82:50

awesome and thank you for being such a

82:53

long time awesome proponent of

82:56

matterport

82:57

you know helping us again get to where

82:59

we're going we got

83:00

we got a lot more to do we're just

83:02

getting started in many ways i'm super

83:04

excited and

83:05

i mean for sure if you've got an iphone

83:08

and again

83:09

soon a little bit later this year uh on

83:11

android but if you got an iphone like go

83:13

try it just download the app it's free

83:15

you can go scan a space um and you can

83:18

do you can do your house you can do your

83:19

apartment in

83:20

20 minutes um and tell us what you think

83:23

like if it's

83:24

not working for you or it's hard to get

83:26

started or it's just crap or it's

83:28

awesome

83:30

share it with us there's all kinds of

83:31

feedback in the app you can hit a button

83:33

and it comes

83:34

straight to us i read all the feedback

83:36

that i can

83:37

i love getting you know uh customer

83:39

input that's how we that's how we get

83:40

better

83:41

um but i think the coolest thing is just

83:43

grabbing it and giving it a try because

83:45

it's

83:46

in in a way do you remember you know a

83:49

while ago i don't know how many years

83:50

ago when

83:51

apple and google and others and you know

83:53

turned on the panorama where you just go

83:55

like this

83:56

across the room you take a nice long

83:58

pano photo

83:59

well it's only a little bit more of

84:02

a gesture with your phone where you go

84:04

all the way around

84:06

and if you can do that one twirl you can

84:09

you can

84:09

you have what it takes um to capture a

84:13

matterport space uh there's there's not

84:15

much more of a learning curve to it

84:16

which is

84:17

why i encourage everybody you know to

84:19

give it a try because you can

84:21

you can even scan and get a 3d moment

84:23

like with your friends it's not it

84:25

doesn't have to be about selling real

84:26

estate or

84:27

renting or doing anything you can

84:29

actually just be like the three or four

84:30

of your family members hanging out in

84:32

the living room and you want that shot

84:33

in 3d like it's

84:35

it's pretty cool um my kids are in more

84:38

3d matterport models than they probably

84:40

care to admit but

84:42

we we do all kinds of fun experimenting

84:44

because i'm constantly you know

84:46

shooting spaces that is so fun

84:49

okay folks well go check out matterport

84:51

on the app store

84:52

uh super super cool thank you so very

84:55

much again for your time

84:56

we'll have to catch up again in the

84:57

future i uh wish you a very successful

85:00

uh spac merger here i know those could

85:02

be daunting and

85:03

emotional roller coasters so best wishes

85:06

there

85:07

i i know it's gonna raise capital and

85:08

it's gonna help you guys scale

85:10

i i'm excited to be along for the ride

85:12

awesome kevin great to have you along

85:14

and look forward to catching up with you

85:16

again uh

85:16

in the future happy to come back

85:19

definitely thank you so much we'll see

85:20

you next time

85:20

all right take care

85:27

[Music]

85:32

you

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