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KP Unpacked
KP Unpacked explores the biggest ideas in AEC, AI, and innovation—unpacking the trends, technology, discussions, and strategies shaping the built environment and beyond.
KP Unpacked
Would You Buy Real Estate From Jarvis?
Welcome to KP Unpacked - the #1 podcast in AEC.
What if buying a home felt like talking to Jarvis instead of chasing a realtor? In this episode, Jeff Echols sits down with Enoc Silva, CEO of Vuen AI, to unpack how AI-powered visual agents are reshaping real estate, construction, and the built world.
🔑 Highlights from this episode:
- How AI visual agents give buyers on-demand 3D property tours that answer every question in real time.
- Why this tech could cut sales cycles from a year to weeks.
- The hidden gem: how AI can capture buyer intent and pass it straight to sales teams.
- The bigger vision - a personal Jarvis-like assistant managing your schedule, tasks, and even your home.
- Cutting through AI hype vs. reality: what’s real, what’s noise, and why human connection still matters.
Whether you’re in real estate, construction, or simply curious about where AI is headed, this conversation shows how close we are to living with personal AI agents.
Sounds like you? Join the waitlist at https://kpreddy.co/
Check out one of our Catalyst conversation starters, AEC Needs More High-Agency Thinkers
Hope to see you there!
Welcome back to the KP Unpacked podcast. My name is Jeff Eccles, and so one of the added features for the KP Unpacked podcast is that I'm now going back and I'm interviewing founders that are pitching at our virtual demo day, and so let me tell you a little bit about virtual demo day. Like I said, I host it once a month. It's always on the final Friday of the month, and we platform founders of emerging technology services, products that are focused on innovation for the built environment.
Speaker 1:This does not mean that they are necessarily portfolio companies of Shadow Ventures. This does not mean that they are necessarily portfolio companies of shadow ventures. This does not mean that they are necessarily founders that are going through our startup incubator. We simply do this to provide a platform for founders who are working on innovation for the built environment. We're doing it for the founders, we're doing it for the industry, and I think it gives us all a great eye on the leading edge of innovation for AEC, cre and beyond. So I am joined today by one of those founders. His name is Enoch Silva. He is the CEO of Vuen AI. He is the CEO of Vue and AI, which is an organization that focuses on visual agents, so we're going to dig into that a little bit here. Enoch, thanks for joining me, welcome.
Speaker 2:Thanks for the invite. Yes, we are going to go a little bit more in detail about the visual agents and what they are.
Speaker 1:Yeah, absolutely. Let's start there For those in the audience. I mean, our audience is typically quite sophisticated when it comes to innovation, but let's just start and set a baseline. What does visual agents mean?
Speaker 2:For those who are familiar, for example, with the movies like Marvel, especially Iron man, or the movie Hair, the term is going to sound more similar to that. So it is a personal assistant that just does everything for you. You speak to it and the screen reacts to what you are talking. So, for example, you can say something like, hey, I want to look at this apartment or I want to look at certain things. The AI just changes, the ui reacts in real time and just explain to you all the details. So this is just a, the visual assist agents that are focused just on the visual part, while they communicate with you in real time. So that's the concept, similar to a jarvis from the movie or samantha from the movie hair.
Speaker 1:When I saw Iron man the first Iron man the first time I thought I really want to have a Jarvis. How do I get a Jarvis? So maybe now I can work with you and you can build a Jarvis for me. This is obviously not your first rodeo. This isn't the first thing that that you've you've worked on. So where did this idea uh, view and AI based on visual agents. Where did this idea come from? What was the problem that you saw that inspired the creation of you and AI?
Speaker 2:So the main problem is when I come back to the software or the platforms I've been in ai mostly for about six years already I noticed that most of the the interface feel outdated.
Speaker 2:So even when I go to companies, most of the software can be tracked to being there 20, 30, 40 years ago, which is different to different industries.
Speaker 2:For example, when you go to the hardware industry, when you go to the tools, they haven't changed that much in the last 100 years. But when it comes to software, everything changes so quickly. But that's not the only consequence of it. So the consequence of this change is that the tools from 30 years ago kind of get completely irrelevant and it just presents a lot of risks involved. So, for example, in my fix, my first experience with software, I was working for a, an insurance company, as a developer and I noticed how there was a software bill like 30 years ago who has a lot of tools and it was built on an architecture that is no longer relevant for the present. And the reason why that happened is because companies invest in technology but technology evolves so fast that what was created 23 years ago kind of gets it's level for today and companies have a hard time, kind of innovating and just getting up today just with the tech even tech companies struggle with this.
Speaker 2:So that was like my first introduction to the industry, and after that I was mainly focused on ai, my first introduction to the ai was creating a model, just a very short model, that it was classifying pictures, classifying picture of flowers. So it was very simple model. It was classifiedifying pictures, classifying picture of flowers. So it was very simple model. It was classifying between eight different types of flowers and I myself was looking at some of the data, some of the pictures, and I was like I have no idea what kind of flower it is so that was my first introduction to AI and I wanted to know more.
Speaker 2:I wanted to know more about how this algorithm can get kind of smarter than me, or why say I mean, I'm not an expert on flowers or anything like that, but it seems such a basic task and for me it was very surprising how this was able to get about 86% accuracy in about a week of me working on it. So that was pretty small, pretty much small for for machine learning engineers, those who are more familiar with the industry, but for me it was such a a no surprise to to see.
Speaker 2:Why can this get to predict or get to know which kind of flower is better? When I myself looking at the picture, I kind of don't get the idea of what kind of flower that is. So that was my first introduction to AI. At the time, chatgpt wasn't released and I didn't know how fast the industry was going to evolve to where it is right now. So I thought this is going to be the future in the next 20 years. I didn't quite get that. It was going to be for the next 10 years either way. So that was kind of my introduction into AI. After that I started working on a couple of startups.
Speaker 2:For me, technology and innovation is not just about the cool things, but also how do you provide a better experience, how do you are able to improve everything, not just for the company but also for the people who are using? Most of the tools kind of get presented in a way that it doesn't really reflect the way they are used. So the tools kind of get sold to the management team, but the people on the ground who are using the tool don't really enjoy it or they struggle a lot to get to use it. So for me, it's the main focus of how is this being used, who is using, what is the purpose of it and how does it really help, like how does it engage? So that's how I see technology and AI is nowadays just crazy the pace of where this is going. So I really, really love it.
Speaker 1:So you know I love the example of the flowers because I would be with you. You know it's okay. You know I don't know the difference between this one and that one. So how does this AI, through its machine learning, obviously has learned a lot more than I have. When we think about the folks that are listening to this podcast are mainly in the architecture, engineering, construction, commercial, real estate worlds. What are the use cases that you're looking at with Vue and AI and the visual agents that will affect people that are designing or constructing or operating buildings? I'll just keep it sort of at that general level. What's the implication of what you're doing for these types of people?
Speaker 2:We mostly work with construction companies and also with commercial real estate, so we have a visual agent and what it does is just provide a house tour.
Speaker 2:So it just provides a full house tour in 3D, explains all the details, explain the neighborhood, what is the main bedroom, what are the square meters, how many rooms, all the answers a person may have.
Speaker 2:And after the tour you can set up an appointment for two reasons Either for you to get in contact with a salesperson just to go over the details of what else you might need, or if you want to schedule a viewing right away to go and look at the apartment.
Speaker 2:So, for example, some of the metrics, and that is that about out of the 10 houses a person normally visits, they didn't really have an interest into going and seeing, and that wastes a lot of time, either for the person buying and also for the people, the agents, who are just showing the apartment, taking their time driving there. And that's not only the first point. So, for example, the sales cycles can be up to one year when it comes to real estate. So the idea is, how can we get the people who are most interested to answer all the questions, to really see it, to feel it and to imagine that they are being on the place. And finally, just to get to the details of how much does it cost or what can I see it, to see if I really feel myself into this.
Speaker 2:So we mainly focus on that area of, for example, with construction companies.
Speaker 2:Some of them are still building their apartments, so they are not ready to, but they are already doing pre-sales. So what we do for them is we just do the whole 3D model rendering and everything and the visual agent just takes care of just showing the apartment, showing all the details, and so any question they have give the full virtual tour and after the tour they are scheduled appointment, either for a person to contact them and for those who are more familiar with the sales environment. The speeding with your answer to your client if you are able to answer the question, the doubts that they might have is very, very important at the point of just closing the sale and spitting the process, because most of the customers they're not only talking to you, they're talking to 10 agencies at the same time. They want to know which one is like the better option for them. They're just evaluating multiple options and they want that information right away. Thanks to the internet and social media, people are used to getting everything right now. That kind of is very, very important.
Speaker 1:Yeah, that makes a lot of sense and I can see how that, as you're describing it, that can definitely change the business model or create new opportunities in the business model for real estate agents or apartment developers, as you mentioned people like that in real estate or development, multifamily development or something like that. What are the things about what you're doing other than what you just described? Because I think this is probably fairly mind blowing for some people that are used to, as you said, like a real estate agent may take a client around to see six houses in a day, versus which is a lot of time, effort, et cetera versus somebody being able to view six through through the system that you're talking about and then saying maybe they didn't say, hey, let's, let's go see this one, you know the one that I like the best. But what are, what are the things about viewing ai that are going to really surprise the real estate agent or the developer, whoever all of these ideal clients are? What's the hidden gem in there, beyond what you've already described?
Speaker 2:Well, the hidden gem is able to accelerate, of course, sales cycle, to get people to only see what they really want to get or they feel it is their apartment. So most of the clients they don't really tell to their needs right away. They just kind of wandered around for one, two, three, four houses and after that they are like, oh, maybe I got a need to just this many rooms, this many rooms. So they are just exploring. So it's more of a consult, it's a consulting sales. So they ask a lot of questions. They don't really know what they want and it takes a lot of time for them to figure it out.
Speaker 2:So the idea is, once you are able to to help the people find what they're looking for, to answer all the questions, just to show the different options that they have available, they can now understand. Okay, after the 10 houses I see I would definitely like to go and see this one and they have a way more educated about the property, about all the different details. They already saw the virtual tour, so they are already engaged with the property. They just want to get the final feeling, like for reals this time, to see if they want to buy it. So that's one of the our core team. The second part is we help the sales team.
Speaker 1:So most of the sales team in a construction company or in commercial real estate.
Speaker 2:They are not only doing sales, they are doing viewings, they are answering the clients, they are sending proposals. So they are very busy day and when you talk to a real estate company sometimes they can take up to two, three, four days. I mean I myself been on the other side and four days to get back to you. By the time they get back to you you didn't know what house you were looking at or where is it located and you're like why is this person talking? Like two days? After two days you pretty much forgot what you were doing before, just the quality of the attention and getting people to see and to have all the information.
Speaker 2:And just to don't get pressured into oh, I need to buy right now, but I'm just looking around, exploring and getting to know what I'm looking for. So we focus more on our clients. Of our client, that is, the person looking at the house, understanding all the different features. But for the commercial real estate, how do we make sure they don't, for example, do things that are not gonna provide the right revenue for the company? How do I optimize more the time of my sales representative to only focus on the people who are already figured out. Oh, this is the property I really want to buy.
Speaker 2:I already saw everything and I just wanna get either figure out the financial details, or how can I finally see it and just see if everything matched or I feel like I am buying this property?
Speaker 1:yeah, I mean all the sales people that are out there listening to this are going, yep, speed, speed to sale, it's critical, um and and this, this seems to provide lots of opportunities to, uh, to speed even faster. So what's the bigger picture? So right now, you're talking about real estate agents and their clients. You're talking about, say, multifamily developers and people that will lease from them or rent from them. What's the bigger picture beyond those two groups? Does it extend out to other types of construction or different aspects of the construction process? What's what's the bigger picture?
Speaker 2:so the way we see, the bigger picture is the human time is becoming way more valuable every single time. What do I mean by that? So, every single time, people, for example, the attention, the span. So every single time, people, for example, their attention, the span of attention of people is getting lower and lower through social media. That's one of the things. The other part is we have so many tools, so many things at the same time that we don't have the attention for absolutely everything and the use of technologies, how can it help us make us more productive and give us the right information and assess?
Speaker 2:So the way we see this is every single person is gonna have multiple AIs that work for them in the future, not only in the corporate world, but also in the personal lives, and how they can delegate a lot of the things that are not necessary. So for me, the focus of the human time is just very the time we have is very short and we need to have the right tools to just expand that, and AI is the perfect tool for that. So the bigger picture is that we are going to have AI do a lot of work for us and our attention as humans are going to focus more on the more core details, so, for example, the human relationship, the part of the creativity. Of course, there is a lot of work that needs to get done. However, all the rest of the things that are more simple can be delegated to an AI, just to, for example, manage your schedule, manage certain things or manage, for example, your house just the smart house. I've just seen some of the features.
Speaker 2:So for me, the human time and the attention of humans is becoming way more valuable by the day, not only because of technology, but also because of the tools we have available. We can get so much done that we can do before. So in the future, we see pretty much our ambition for the future is to have a Jarvis for every single person that just handles everything for you in real time and you can speak to it and just those are the things that you want. So, for example, hey, why don't you, every single time at 6 pm, just close the door for me or just activate the security system as soon as I go to sleep and it can handle us and be everything in your life without you having to worry about? Oh, I forgot to do this before I go to sleep or I didn't send this proposal you can just have an assistant just help you out in real time and just provide way
Speaker 2:better information for you. So that's how you see it. We want to bring the Jarvis to the market. We're starting working only with real estate, so we're only working with real estate right now, at the moment, but eventually we definitely want to bring an operating system with a visual agent that just does absolutely everything. A why we work mostly with voice because voice is four times faster is the natural way we we communicate as human, like you and I are doing right now on this podcast, and it was it was tried before by city cortana.
Speaker 2:Alexa is probably the huge, huge project. They invested about 2 billion on Alexa. For me, it's everything. How can I get more out of the technology we have today? And that is just through voice and with the visual intelligence system doing things for you, not just talking, because when you talk to chat, they just send you like a full book and you are like, oh okay, I need to read again. I mean, I love to read. However, you need to fill the information and sometimes they are, so the things that you need to do are not that complicated, so it's quite simple and straightforward and then I can just take care of that. So that's how we see it in the future.
Speaker 2:I just have visual agents for actually everything that just operate for you, not just talk for you, not just do, but do actual things for you, like, for example, show you the house, set up an appointment, manage your schedule and reschedule. For example, or tomorrow I have such an important meeting and I need to cancel everything I have. So how can I reschedule without having that? If you have a personal assistant, that's fantastic, but most people either don't have it or, even if they have it, the personal assistant needs to communicate with 20, 30 people, wait for them to get back to you, not reschedule, manage agenda. So there is a lot of things involved and, I believe, how do we empower more humans to do more with AI?
Speaker 2:So that's the vision for BNA.
Speaker 1:Yeah, the leap from, let's just say, a virtual real estate tour to Jarvis seems to be a pretty big leap. So what are the things that you anticipate? It's 2025 when we're recording this. What are the things that you anticipate? It's 2025 when we're recording this. I'm sure the further you're looking out into the future.
Speaker 2:The biggest obstacle.
Speaker 2:Well, right now for me it's kind of the price of technology, I'll put it that way. So, for example, the first time the funds came through, only brokers in New York have access, because they were like huge and they were very expensive to use and only a few selected people use it. So over time that technology got better, cheaper and pretty much now everybody has a phone in their pockets and they cannot live with it, even myself included. So the technology is going to get cheaper. Eventually it's going to get better. We just work only right now with the real estate in the house and just provide a spectacular experience. So when you talk with DCI you can say hey.
Speaker 2:I just want to see the bathroom, or where is this located? Can I bring my family here? I have three kids. Does this help fit my needs or do they have a place to play around with it? So they just chose the house and just does everything for you and also interacts with you in real time. So, for example, when you're on scheduling, you can just say your name and they just books the appointment right away for you. So you don't even have to look at the calendar, you don't need to. Oh, let me just copy my email. You can just tell it, it will set it out for you.
Speaker 2:But for us, technology always gets better and cheaper over time and we want to expand to different verticals over time. Right now we are not even touching anything other than real estate, but just with the evolution of AI and the speed at which it's moving, we see that it's going to get there pretty soon. So, for example, just on the price point I'm not sure if you saw what happened with DeepSeek a little bit just reduced the cost of AI, talking by a lot. And recently, just in the last eight months, on the last two months, openai just reduced the tokens by about 87.
Speaker 1:so it's getting cheaper and it's getting faster, and we just bet on that trend for us to build the operating system that just handles everything for you so right now you're you're focused on the, the real estate vertical, and you're talking uh, you're talking about expanding to other verticals at some point, what are the lessons learned in the real estate vertical that are that you think are going to be transferable to uh, to the other verticals? The most important part is the human relationship.
Speaker 2:So when the ai is talking, you not only want just to do things, but to develop a connection with the buyer. So what is he really looking for? What are the things that he's not telling you? So how can you, for example, understand the real purpose of buying a house? Some people are buying because they are moving out of their parents. Or, for example, some people are buying because they just got married and they want to raise a family. So how does the AI develop a deeper relationship with every single human? Just to provide a better experience? That's for all the things that transfer.
Speaker 2:It's not it's not just only about technology, but how it can interact with us, how can provide even better and personalized service. So the idea, for example, of the Jarvis is that an AI can do things before you even think of them, like oh I forgot about that.
Speaker 2:Thanks for bringing it up to me. So just use computers to the benefit of, of course, of humanity and how they can help us just expand the things we do. But for us the personalization, the development, the buying process is very vital. And also to give more information to the company. So out of one conversation you can get, for example, this customer might need this or he has already kids, so I can just take notes on the whole conversation. So when a customer representative or a sales representative just calls, he has all the information already about the person he's going to call and just can provide a better service, also a better experience on the buying process.
Speaker 1:Yeah, as you were describing it, I was thinking about that. I was wondering you know, how do you train? How much data does it take? How do you train? I mean, I can every time I log into Amazon. I can imagine how you would train an AI to distinguish between this flower and that flower and the other flower, right, but you know what you're talking about in terms of an interface and understanding some of the psychological aspects of the buying cycle. You know, in real estate, what does it look like to gather that kind of data and train the AI to understand the buyer's motivations?
Speaker 2:Are you referring more to the technical aspect or do you want to understand a little bit about how the process works?
Speaker 1:I would say either or both. I mean, we don't have to get too deep into the weeds, but at least conceptually, what's your process look like? Because it seems like a huge task to train it to do it. It's fascinating and it seems like the outcome is amazing. It seems like a huge task to gather the data and train it. So at least conceptually, what does that look like?
Speaker 2:That looks like a very, very complicated process, and the reason why I'm telling you this is because most of the software that has been developed over the last 30, 40, 50 years over the last 30, 40, 50 years, it's been about text and interface by click and mouse and keyboard.
Speaker 2:So even when you do a transaction on a bank account, in the end it's just a bunch of numbers and texts that are being transferred between one database to a different database. So most of the technology that has been developed over the last 40 years with a few exceptions, including both blockchain or crypto, it's just information being transferred, and that information is mostly just text, either text or numbers or IDs. However, with the visual agents, you have to have voice information in real time. So it's a new space that is very under-explored and it's the natural way, as I was talking with you in the beginning, that we communicate and these big companies they all have tried before. The problem was the technology wasn't there. So me as an engineer understand also how difficult it can be to handle a conversation, and even us as human beings.
Speaker 2:Sometimes you're talking with a person and you are oh, I forgot what I was talking with him last time, I wonder if I could have some notes or something. So most of the time that context and managing that amount of audio in real time, that gets very, very complicated and very quickly. And the amount of data is not only because it is new, it's also because there is very little tools to handle that specific type of data. I'm talking about the audio data.
Speaker 2:Yeah, there are a lot of call centers and they've been recording and saving information for a long time, but that information, for the most part, has not been work on, meaning, processed, transcribe or format. So there is a lot of, a lot of things that are going on in the backend. Just to make sure that I provide that level of experience, understand your intent, for example, understand the little things when you say something like oh, how does the batcher look? So maybe you want just to have a barbecue party over there. So all of those small intents at the time of making a purchase decision is what we are looking for. And just catching those intents, saving that information and just presenting that information for the salesperson, just to understand better who is this?
Speaker 2:person, who is this person and why they are making this decision?
Speaker 1:Yeah, as you're describing all of this and I'm picturing what it would be like to be the client of a real estate agent, I want to do this virtual tour of a number of different homes in this new city that I'm moving to, or something like that. I'm thinking about somebody like Abby Coleman, who is she's a member of one of our mastermind groups and she's the head of VR and AR for a large engineering company, and I wonder, you know, because she, she and her team develop the visuals right, the, the fly-throughs, the walk-throughs, whatever, whatever the form or the format is on their projects for their clients. What does Abby think about a tool like this Is? Is this something that, or at least, is this technology or the thought process? Is this something that she can incorporate into her work, or is it something that replaces her work?
Speaker 2:No, for most of the part we don't replace, we just interact. So what we are providing is a better experience. So, for example, the 3D part, the VR part, we don't do that. Our main focus is just the visual agents and how they communicate with the human, how they develop these sales relationships and how they understand the intent of them. So we just focus on that. Regarding the 3D technology, we use existing tools already developed SketchUp well, there's a bunch of them. There is also, for example, matterport, for those who are more familiar on the real estate side, that you can just scan your house and you have the 3D rendering right away. So we work on top of those technologies just to provide that service. The main focus is just the visual agent talking to you, understanding your intent and just showing you, answering any questions and explaining all the details that you need to understand and also scheduling the appointment.
Speaker 1:Yeah, that makes a lot of sense. And then I wonder, you know, with somebody like Abby, you know, as they're developing their presentations, let's just say it would be interesting.
Speaker 2:We can probably get a meeting with her or something, just to see you know a little bit more. We don't know a little bit about what she's working, but we can definitely kind of connect on that. Yeah, yeah, yeah, I think.
Speaker 1:I think that would be interesting. The client could ask a question and you know it could. It could then work through her, her work. You know her VR and AR work. So what you talked about, about the bigger picture, you talked about moving from the real estate verticals to other verticals and, of course, creating Jarvis so everybody can have a Jarvis. Is Jarvis is my own personal Jarvis. Is that the big picture in game, or is there something, something different? Where? Where does all of this end up at some point in the future?
Speaker 2:so for us is for us, the purpose of technology is not only to look cool or to a cool, but to serve us, to help humans.
Speaker 2:So to empower humans and what, for us, is most exciting exciting us the most is we're always looking for ways to help people achieve more with less. So how can do you have the right tools to work for you, to do more things for you? So, for example, one of the things that is most important for us is how do I keep the focus just on the visual agents, just in real estate? How do we make sure you provide better service? So, for example, we plan to implement a lot more integrations on the 3D tools. So how do we make everything just simpler without also developing the agent for the interface, meaning you can just log in and it will create your whole account. It will just set up the 3D model. So that's something that we've been working on so far. But it's how do we automate all the boring tasks we have to do? So, for example, even today, you see a lot of people who are transcribing documents, put it into the CRN manually. So there are a lot of tasks that don't really provide value to what we are doing. For us, it's how do we automate and just simplify the process? And also, how do we make things easier and simple for everybody? So it's how do we provide a better experience.
Speaker 2:How do we develop better human connections? So understanding better, and most of the time, what is for me most interesting about the connection between human is some of the things have never really spoken. So, for example, I'm not sure if you have this experience, but back in college I used to have a couple of friends which I didn't even knew their name. But we're always like, hey, what are you doing? Hey, what are you working on? We party, we do a bunch of things, but in the beginning, for like two weeks, three weeks, I didn't even know their names, but we were connected in a way that hey we understand that we are kind of in the same energy and we were just hanging around.
Speaker 2:So for me that's very, very important, the human aspect of it. And how do we allow tech not just to bother, pardon us, not just to, but to empower us to do more? So, for example, we uh, most of the crms. You need to oh, you are calling, but you also need to, oh, I need to put this information into my crm because you know my supervisor. So how do we get an ai to focus on the boring aspects of the business and let the human focus on the personal relationship with the client and just on understanding more about them?
Speaker 1:I think one of the most important questions that I can ask to founders that are presenting the things that they're working on is, now that we've talked about the idea, the inspiration for the idea, where you're going with this. What's the big picture? I love the purpose behind what you're doing, all of those things. What's the question that I didn't ask you, that I should have asked you?
Speaker 2:What's the question that you didn't ask me, that you should ask me?
Speaker 1:Yeah.
Speaker 2:I believe there is a lot of myth surrounding AI, a lot of hype, but what are the things that are not being spoken about that really you need to consider? So for me, the most important part is there is always this kind of hype in technology, so there is always going to be people trying to oversell things because they are new, or just overestimating the technology that is forward. So, for example, that happened with blockchain when they were presenting. So with AI, nowadays, everybody's saying, oh, it's going to take over humanity, but AI didn't. The purpose of AI is just to help us, just empower us to do more, and really the purpose of everything is just how do we help humans achieve more and do more with less? So, even if an AI can just talk, it doesn't really understand the feeling of being, for example, a human. It sounds interesting, it sounds nice, but it doesn't get that part that we are valued more than just a conversation. So, for example, 80% of the communication between humans is non-spoken, meaning just the way you trade, the way you interact, the way you see other people. That's a lot of our communication, not only voice. Voice is just the thing we can measure, but there is more beyond the communication between humans than just voice. So just because an AI can just talk doesn't mean much that they can communicate with us. So that, for me, is the main point.
Speaker 2:I see a lot of companies trying to kind of present this bigger, bigger, insane picture that just in one year nobody's going to have a job, which is not really real. We're going to still. The humans are going to still be here in one year. So it's not going to get to that level of craziness. But also don't underestimate the power that AI has at developing a skill, understanding us and how can just automate all of the process. So you have seen probably also the evolution of AI in just very few years and there are a lot of companies investing billions of dollars in making this better. So it's going to get better, cheaper and it's going to be able to do way more for us. And we'll just be able to automate all the voting teams so we can focus on the teams that are most valuable. Those are personal connections, human relationships and just the focus on the project, the activity.
Speaker 2:For example, how do you present a better product to your customers? How do you make sure all the architecture just fits into the way we have a lifestyle, the tools we are developing or, for example, some people have different needs, some people want to look more sophisticated, some people want a house that is more tech-driven and you have smart features and everything. So just how do we adapt that to the market? So for me, it's how do we empower humans to do more?
Speaker 2:I don't believe that everybody is going to be with our shop in the next one year. I definitely don't see that happening. Our AGI is just going to replace us, but, on the contrary, we will be able to get more productive, to build more teams, to do more for others and empower humans to have more capabilities in a very few span amount of time. And with the ice it's getting crazy. It's a very speedy race. So you always need to be looking at the ground, understanding the technology, what is really happening, and just also understanding the difference between what is being sold and what is really happening.
Speaker 2:So for us, our main purpose is just to provide a better service, instant information to the humans and with any questions they have, and just schedule an appointment, make sure they can talk to a human as soon as possible and the human have all the contacts, but also, for example, if you are working and you only have time at night to look at the property and you try to contact one of these agencies. Oh, we are not available because at this time we don't answer.
Speaker 2:so how do we help those person who didn't couldn't communicate or didn't have the time to just take better and important decisions? So that, for me, is the main purpose, and the question will be how are we aware of the real things versus the hype that is being sold over the media on AI?
Speaker 1:Yeah, I love that. There you have it Empowering humans through AI. I am joined today on the KPUmpact podcast by Enoch Silva. He's the CEO of Vue and AI. He will present Vue and AI on one of our upcoming virtual demo days. It's an event that I host the final Friday of every month and we give a platform to startup founders across the AEC and CRE world who are looking at innovation for the built environment. That means the places that we work, the places that we play, the places that we sleep, the places that we worship.
Speaker 1:You know it's everything that we do as human beings. So, enoch, this has been a fascinating conversation. I'm looking forward to your pitch of viewing AI here in just a little while and best of luck to you and I'm going to be curiously watching how you progress and grow with the things that you're working on here.
Speaker 2:Thank you so much for the invite and surely we're going to keep in touch and I will be delighted that you see the visual agent in real life.
Speaker 1:Yeah, absolutely. Thank you so much for this conversation and for all of you out there that are listening or watching, depending on which version of this you're consuming we thank you for tuning in to KP Unpacked. We'll be back again next week. Who will my guest be? Will it be KP Ready? Will it be another startup founder? Will it be somebody from our Catalyst community, which is our online community? If you'd like to join Catalyst, go to kpready K-P-R-E-D-D-Y dot C-O, Put your name on the wait list and you will be invited to schedule an interview with a possibly join the catalyst community. It's a online community that we have that fosters conversations, collaboration around innovation for the built environment. So I'll be back again next week with another mystery guest. We'll see who it is. Thanks for joining us today. We'll see you again soon. Thanks, everybody.