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VERISWISS Pitch
Javier Gutiérrez Fernández
Monday, Sept. 17, 2018 · 2:42 p.m. · 15m 50s
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make the world a safer place for children in the next uh ten to fifteen minutes and one of the most trade you how we're gonna
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make it possible uh out it goes without saying that the internet has changed our lives and is is a massive big seen that
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the more than fifty four percent of the global population is on internet that's massive
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four point two billion people accessing everyday to the internet and uh what also
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the sadistic demonstrated that forty percent of these content is startled explicit content to give
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a bit of a or a understanding on how big is that these
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two point five billion gigabytes of information i've been transfer every second correspond to all the related content
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that's uh uh if you combined with the with net flicks and with amazon altogether this is the
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exactly the number of users that you get every month going to this type of sites
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unfortunately also the statistics show that children start to access to
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this type of content not a mature yates uh
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as young as nine years of age is a yes all the children
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start to be exposed to pornographic material online i'm personally as
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a as a parent and i think that uh those in the audience that have a little children is a major concern
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to all of us uh and we need to do something because in fact
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also the professionals in the medical sector of agree that any access to
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the the uh some types of content can be extremely hard for for the
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development of the children can be the cause a melodic different behaviours
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and certain second pathologies that can be later on be a revealed at a later
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h. but well that's not all the if you look at the internet like
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these massive uh uh see what you can serve and too many
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many things that older types of contender that also extremely uh then yours
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for children development and sometimes metal uh i meant to have
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but he about extreme violence a that is just one click
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away out the whole uh smoking big besides uh
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you don't what was it you go to the united states that that are accessible
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just uh at their fingertips just with one click away most of the cases
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obviously a more a more voices in in society start to be raise uh we have
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the media on some different associations from all over the world you know some regulators
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that are asking for much more robbers regulation to these uh subject any some countries
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like already u. k. there's a new law passed by a nice land
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where all the access to these all the related content he's to some extend a restricted
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so the question is like what if today we could prevent children from access into this country
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and then to what if they uh other really the content would be for adults only
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and the truth is that if you look at what is happening out there
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you may have two different groups of h. gets you have in
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these different industries that you can see there from the boar not to hold it in and and and violence a violent content industry
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you have something like these just simple separation one click away you access to
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the content obviously there is very little confident that the person on the
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other side is gonna be a an adult or even if it's a
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minor is almost an invitation to going click and see what's happening
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nonetheless the kazoo fiction it's it's very low you have very easy access the
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regulations are going pretty much into these other side of the chart
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well when you have a a the gambling in the the buckle industry some indices that highly regulated
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and that the you know the talks as the discount then it requires a bigger for from the consumer you need to register you
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need to provide to some means of personal data i like your
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passport copy your your id before you're actively exposed anything
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so here obviously there is massive cost in got it all this email is the is the privacy concerns
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an users are not very happy of providing that much personally that's so
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basically just trying to market it works to give a the sake
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the the security during that assertion that these highly confident problems and at
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the same time to allow people to to the visualising something
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so the issue is liberated is basically an application that again uh the most advanced tools out there
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to provide we'd these reliable age verification solutions that mary then it's off
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and to and from the users access into these content from the content providers
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and all the way to the regulators that would like to have that that means to control
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i think the best way to uh the most trade you how the series
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uh works is it just with the a week a week that no
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yeah okay it's
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i don't know if this is visible ones and okay
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there we go
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ah nice pretty complicated to me to put two screens at the time
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and uh
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so let's imagine that an uh a user that is access into one of these uh
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eight so i get frustrated sides where various ways of providing his software surveys
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uh it's kate uh automatically imagine that is of the article or talk aside automatically our system would
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popping would lock the content and would require the user to do some actions as simple as
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i eighteen the repairman and the smart forms or or the steps to
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anonymously be eights they fight so i'm here i don't see myself
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so well that takes just one second to go through the whole the whole process to
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be recognised but the the neural network enough as the eight n. n. go through
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in many cases or in some cases where we have a lot of grey areas um uses that are from
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sixteen to um probably uh at twenty years old in which the system might not be that confident
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in those cases in another state here right after this education do we uh and never miss it say in
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okay you are under eighteen that as we don't have any a minor in these in these yeah yeah
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uh it would at chapel puts pop but ultimately asking for all the ways to
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the most right uh you right so i do a already digital yes then
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it would be all for different options like provide a copy of the passport the updated license uh
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and what are the user in a very intuitive manner can can take a picture of of uh this is
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not a connected the get bigger picture of the passport all c. r. is gonna start information anyone
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network is match the face on the first picture with a face in the back to a passport if
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all mats and that they cover this is correct the user will get through that a simple
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i want to go to the presentation
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okay and this way okay
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so what happened in that link often i'd that because it looks very simple and that was intent to
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make it that easy for for the consumers what happened all doing these these uh barely second so
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we have a neural network is assessing with that is one face or multiple faces in the in the picture
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they detect the post sixties a full frontal polls the detect whether there's a screen in front of the camera trying to was
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both uh this is then that the that the lights whether it's too dark to light this uh like detection as
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as michael movements of the phase which at the resolution whether you're too far away and to closer from the meats and
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we ultimately once all these checks are done we send a picture to annette certification of within return the value
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estimating the aids so our product you you you see is is is user centred it we try to
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make it like extremely it's easy and intuitive from the user perspective is secure because we incorporated
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some anti spoofing mechanism to prevent fraud as much as possible but with the question here is how
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accurate it can be because most of the basic cases where one encounter situations like these
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an encounter a faces off people that for the human eye
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are very difficult to define as minors or adults and
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if we as a people in the all these if you could spot the the minus here actually all them are minors
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and is very surprising that systems that we have right now the state of the art
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technologies capable of identifying them as minors and screw them from the from the system
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but also the state of the art of the technology demonstrates that there is also a green area which we can improve our system
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as much as we get closer to eighteen years old the system makes more mistakes and that's all
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based on the date that that have been used to train the neural networks right so
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in our product development plan we the strongly believe that we can develop a much stronger system that the systems
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that are right now accessible i can based on to a elements the first one is to gather
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something that that minister speak strong a database of miners that would get us to train these neural networking
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better identify minus have with i'm gonna write a approach the assessing different at the civic groups
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and also in the way we designed a neural network is any way that this is this is a specialist in order to that there might be a it's
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and not having the eight estimation as one additional feature that that is returning to to the user of this unit
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so again how we're gonna know goal and and take it to the market events which
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we believe that there are like two fundamental aspects we need to create a strong
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a brand around very squeeze a brand that these built around the the sense of confidence
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run that he's doing some sort of initiatives to uh raise awareness insight about this
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issue that is collaborating with education institutions to to really prevented and not only protect
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them uh with uh uh uh we acted methods but also preventing them and
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and and to get in on on what other ways of uh been exposed to certain
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button on the internet and also lie somebody institutions to to make the the
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right a regulatory framework doing this three weeks immediate we we manage to to build
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also forced on the heater persons we've built our bases dot com website
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we build our so for me to handle some face broke a preacher and you divide invite you to go and follow us
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and the second phase is is a consultation and and the funny we are engaging with business here
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our model is that we are a business to business to consumer uh
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type of business model and we believe that the there liked different
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they said we need to get through you know the commercial is our product first the legal framework needs to be in place
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and probably the these uh it's okay we start with the hyper targeted as social media eh a
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campaign that get executives of specific industries that we want to sell our products recently to be
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a a sale uh and uh acts and and then at trial period a fall with the
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the contract and until we get to the final solution to the uh department we
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estimate provided we are targeting large corporations that these processes not pick from four to six
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months you know the to get one ply in a fully subscribe to our system
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uh these are the key accounts investigate that uh what that the the let's say the low hanging
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fruit is pretty much in the centre of the chart the smoking is highly regulated industry tobacco
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industry and they are actively craving for the solution used in the car park says it looks
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pretty much closer to a tax return than uh every decision process for the end user
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so um yeah this is why in your one we're aiming to
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to get some of these users the numbers look uh
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rather big we're talking about thirty million verification is a year uh
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for these uses it because see that that half of them
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and we can see the uh uh at a cost per application around fifteen cents
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provided that the current cost that they are very nice around fifty a sense to all the way up
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to the point five euros per age verification we also uh so we're not competitive advantage here
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it on the final a plan for two thousand eighteen in two thousand nineteen
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different um different avenues from the data set that acquisition
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to the developmental for a solution so the we are a mean to deploy a our first
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version of the product from october to december the rates into actually simplex what's on
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and start working on our our own uh i within uh all the rest of the
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year this continue uh somewhere around september next year is continue the uses of what
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someone migrate to a new everything's gonna be strongly at train with our uh property uh
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that the data set and the commission decision of fort stockton as we speak
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okay i'm talking here on behalf of of the team we have also in the audience uh
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yeah except the that the was the brain behind the demo that uses also that they
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in all the architect before the the future need our network we have also a
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a p. s. a. yeah in the audience yeah i was here for an an administrator
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and we are really excited to be a present to you a very sweet
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for the last but not least i mean yeah we just have to
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frank um add to it the op we just need to
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thank you all guys speakers these was really it was for us it was a real accelerated we can he with the
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with a vague idea of what we could do and we leave the place we quite a lot
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of achievements we develop the uh we're strong and maybe we find in our user experience here
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we have thought add things to the conversations with your scientists about what could be that a the
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l. uh convolutional neural network architecture and how our world map should be deployed in upcoming months
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we we have a study so worst on the the footprint and we have finding our business income
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as a plan that these cannot be really people telling that come in a weeks to
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to read the the uh deployments then to the market that was wasn't perfect if we put
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the children like to show his movie that summarise is what these uh various ways
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i
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right
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yeah
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so once again thank you very much for these three amazing with this
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amazing experience um a half of a very serene uh thank you
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