His Grandpa Worked Until 90 and Changed How He Sees Aging

Sean Weisbrot: Why should people care about taking care of senior citizens?

Igor Gurovich: I think that, if we don't care now,

Igor Gurovich: the system of health care and care about seniors will be completely

Igor Gurovich: broken.

Igor Gurovich: I actually think that we don't have much time to,

Igor Gurovich: solve this problem.

Igor Gurovich: And, actually, I think we're we need to to do it now.

Sean Weisbrot: But aren't there many other things that are really urgent as well?

Igor Gurovich: Absolutely.

Igor Gurovich: I think there are plenty of in our current world, but that's one of the biggest problems, I think.

Igor Gurovich: Because usually health care system

Igor Gurovich: was based on a lot of working people who finance people who got, retired.

Igor Gurovich: But currently,

Igor Gurovich: the share of a senior population, I think, you know, is growing rapidly.

Igor Gurovich: And this system, the previously many years ago built system

Igor Gurovich: won't work.

Igor Gurovich: So we need to fix it now.

Igor Gurovich: In other case, I think it will be like a catastrophe.

Igor Gurovich: Yeah.

Igor Gurovich: At least in in, countries like United States, in Western Europe.

Sean Weisbrot: How is AI enabling that support for senior citizens?

Igor Gurovich: I,

Igor Gurovich: don't I I wouldn't say that AI is the only 1100%

Igor Gurovich: solution, but my way of thinking is following.

Igor Gurovich: One of usually, I say, following.

Igor Gurovich: It's not a question whether to use AI or technology in this space or not.

Igor Gurovich: The main problem is the deficit of people, nurses, doctors, other stuff.

Igor Gurovich: So, AI could take some of their responsibilities and,

Igor Gurovich: and do it with the help of technology.

Igor Gurovich: So, again, it's not 100% solution, but at least we we can use, AI for some of their jobs.

Sean Weisbrot: How are senior citizens actually responding to this kind of technology?

Sean Weisbrot: Because it for me, it seems like simplistic, but, you know, they they're different.

Igor Gurovich: Absolutely.

Igor Gurovich: And, actually, when we started,

Igor Gurovich: I was really concerned about that, and I didn't think whether it's work will work or not.

Igor Gurovich: But

Igor Gurovich: I think one of the hacks was to use, ordinary phone call as an interface.

Igor Gurovich: Actually, that was our starting point.

Igor Gurovich: We don't use any applications,

Igor Gurovich: any software, and that was a smart move, because, obviously, phone call is the common routine, for senior population.

Igor Gurovich: Secondly, actually,

Igor Gurovich: a lot of pro people are so lonely.

Igor Gurovich: They don't have any human nearby, sadly, that interacting with AI,

Igor Gurovich: actually makes their life little bit easier, little bit more happy.

Igor Gurovich: A lot of people share their,

Igor Gurovich: memories.

Igor Gurovich: I don't know.

Igor Gurovich: They have someone to, chat about their hobbies.

Igor Gurovich: Again, we don't position the product as a substitution of the humans.

Igor Gurovich: It's not our way of thinking.

Igor Gurovich: But AI could be there in the moment when there is no human nearby.

Igor Gurovich: For example, I had one lady.

Igor Gurovich: She got up, like, 4AM, for some reason very frequently,

Igor Gurovich: and she didn't have anyone nearby just to to support her

Igor Gurovich: to have a chat.

Igor Gurovich: So, again, AI is in, like, addition to humans, not a substitution in my opinion.

Sean Weisbrot: I love how you had the idea to kind of remove the UI from the situation.

Sean Weisbrot: I think that a lot of companies now are racing to do something like that.

Sean Weisbrot: Not not competing with you.

Sean Weisbrot: I'm seeing,

Sean Weisbrot: just in particular, you know, this idea of they call it the SaaS pocalypse, where these UI based monthly subscription websites are dying

Sean Weisbrot: because people are building agentic versions of those software.

Igor Gurovich: Yeah.

Sean Weisbrot: And so I think it's really great because I've been building several things and

Sean Weisbrot: I've built them all with the traditional SaaS mindset.

Sean Weisbrot: But then when I built them, I said, Crap, these need to be agentic.

Sean Weisbrot: So now I'm going back and going, Okay, How can I make these agentic in a way that we can over time remove the UI from it? So I think starting from

Sean Weisbrot: a no UI system is a really fantastic way to get something moving.

Igor Gurovich: Yeah.

Igor Gurovich: And, actually, it was like, how to say it,

Igor Gurovich: natural.

Igor Gurovich: We didn't think about that in the beginning.

Igor Gurovich: Actually, the company started,

Igor Gurovich: when my cofounders, they build an app, not specifically for, elderly adults.

Igor Gurovich: The idea was to build an assistant, which could, I don't know, like, book make a reservation in the restaurant, make calls, and other kind of stuff.

Igor Gurovich: And, organically, seniors started,

Igor Gurovich: to use it, and that was the point where it started.

Igor Gurovich: And,

Igor Gurovich: like, many years ago, when I had first ten days of building the product here, I tested a lot of things, with my aging grandpa who's very smart professor,

Igor Gurovich: but he was not digitalized at all.

Igor Gurovich: And the only interface that worked at that time was voice.

Igor Gurovich: Of course, there was no time of voice AI, but voice interface worked.

Igor Gurovich: That's why that, made us think, okay.

Igor Gurovich: Maybe we can use voice.

Igor Gurovich: Of course, using, like, ordinary phone calls isn't doesn't sound, like, very innovative,

Igor Gurovich: but it works.

Igor Gurovich: And I think, like, at this point, it could work.

Igor Gurovich: And later, we could be, like, multimodal.

Igor Gurovich: I don't know.

Igor Gurovich: Implement it in Alexa, implement it in robots

Igor Gurovich: when they will be, ready.

Igor Gurovich: So it but my strategic bet is on voice AI because it's not just easier for not digitalized

Igor Gurovich: people.

Igor Gurovich: But for example, when you get you're getting old, you're starting to have some problems, with your eyes, for example, yeah,

Igor Gurovich: and other kind of stuff.

Igor Gurovich: And actually, here VoiceAI,

Igor Gurovich: could be very helpful, I think.

Igor Gurovich: For example, I can give you a small example.

Igor Gurovich: Recently, we were reached by, like, association of,

Igor Gurovich: deaf seniors.

Igor Gurovich: There there is one in The United States.

Igor Gurovich: And that made me thought that,

Igor Gurovich: AI could be very useful with people with different kind of disabilities.

Igor Gurovich: And actually, I think frequently, we even don't think about these people, and there there are a lot of them.

Igor Gurovich: For example, we had some blind users, and for them, VoiceAI actually is the only interface, that could work for them.

Sean Weisbrot: Yeah.

Sean Weisbrot: I think the on the dev dev side, it's a lot harder because they need a UI. Right?

Igor Gurovich: Yeah.

Igor Gurovich: Yeah.

Igor Gurovich: And, actually, that would be an interesting challenge for us that our basic answer was to use SMS,

Igor Gurovich: maybe in the beginning, maybe some app.

Igor Gurovich: But we we we will think.

Igor Gurovich: Yeah.

Igor Gurovich: It's again, I don't have an answer now, but it it sounds for me like an interesting challenge on what could be an interface.

Sean Weisbrot: Well,

Igor Gurovich: Maybe yeah.

Sean Weisbrot: essentially, you need a computer vision system that can read the hand movements that they make, assuming they they I mean, if they're deaf, I imagine they're able to sign.

Sean Weisbrot: So it it has to be able to recognize what kind of sign they're using because there's there's dialectual signature.

Sean Weisbrot: There's not just American sign language, obviously.

Igor Gurovich: Right.

Sean Weisbrot: And there there's even regional sign language within The US, and then every other country has their own sign language systems.

Sean Weisbrot: So you have to recognize where the person's from and, therefore, what sign,

Igor Gurovich: I'll do not.

Sean Weisbrot: their what's the version of sign language they're using,

Sean Weisbrot: and then be able to interpret that into something that where then you have some

Sean Weisbrot: animated system that's showing that's signing back to them or writing on the the page for them to read.

Sean Weisbrot: So that's, like, extremely complicated, and that's why a lot of these people are ignored.

Sean Weisbrot: It's because it's very hard to serve them.

Igor Gurovich: It it's very interesting.

Igor Gurovich: We will have a call,

Igor Gurovich: soon with them, and, the person on other side is, dev,

Igor Gurovich: as well.

Igor Gurovich: But she said that she has some special software to make video calls.

Igor Gurovich: So I'm looking forward to understand how it works and if our solution, could, help here as well.

Sean Weisbrot: When I was in university, I did salsa classes salsa dancing classes.

Igor Gurovich: Uh-huh.

Sean Weisbrot: And there was a woman who went who was deaf.

Sean Weisbrot: And you'd think, how can a woman who's deaf learn to dance?

Sean Weisbrot: Because if she can't hear the calls from the leader or she can't

Igor Gurovich: Yeah.

Sean Weisbrot: communicate with the person who's leading her, right, how is she gonna be able to do that?

Igor Gurovich: Yeah.

Sean Weisbrot: And she taught me how to sign, and

Sean Weisbrot: I realized that she wasn't listening to the beat because she couldn't. She was feeling

Igor Gurovich: Mhmm.

Sean Weisbrot: the beat from the speakers hit

Igor Gurovich: Wow.

Sean Weisbrot: her body.

Sean Weisbrot: So she could she could she could feel the the music going through her, and and that's something that, as someone who can hear, you never think to feel that.

Sean Weisbrot: So I thought it was fascinating the way she interacted with the world.

Igor Gurovich: Interesting.

Igor Gurovich: Actually, I think it's

Igor Gurovich: it's very close to the problems that elderly adults face because usually with again, before,

Igor Gurovich: the period when I spend a lot of time with my aging grandpa, I didn't imagine, how the world is not completely adapted.

Igor Gurovich: I I I understand that it depends on the countries, of course.

Igor Gurovich: But on general, like, even now, like, applications like Uber or Lyft, they're completely not adapted for elderly adults.

Igor Gurovich: I don't know why.

Sean Weisbrot: Because the largest segment of people that pay are us, normal abled people who are young.

Igor Gurovich: Maybe.

Igor Gurovich: But there are, like,

Igor Gurovich: I think more than 50 or 60,000,000 elderly adults in The United States, big segment of population.

Igor Gurovich: And and the biggest thing that I saw, I think it was on the lift, like, bigger fonts or something like that in the application.

Igor Gurovich: I don't know why.

Igor Gurovich: And,

Igor Gurovich: just a small, example.

Igor Gurovich: Actually, there are some companies, that work with

Igor Gurovich: elder adults, with whom we got tops, and I know they like they have business,

Igor Gurovich: like, for five years, ten years.

Igor Gurovich: And we ask them, okay.

Igor Gurovich: We're doing this stuff.

Igor Gurovich: Why don't you use AI? You're just you're more experienced.

Igor Gurovich: You have more capital.

Igor Gurovich: And they share with us, we would love to, but we have so much legacy.

Igor Gurovich: I know we have, like, 600 people in operations.

Igor Gurovich: We just can't change it. It's a very complicated task

Igor Gurovich: to transfer to transform your business within AI, and I was surprised with that.

Sean Weisbrot: Yeah.

Sean Weisbrot: And those people are gonna get disrupted by companies that don't have that problem.

Igor Gurovich: Yeah.

Igor Gurovich: Absolutely.

Igor Gurovich: Absolutely.

Sean Weisbrot: Like in the last month, I've literally created three different softwares that could all be commercialized and they're all agentic.

Sean Weisbrot: I could literally disrupt several different legacy businesses by myself with agents running everything

Sean Weisbrot: on my own, on their own.

Sean Weisbrot: If I really wanted to, if I really had the ability, I could run three businesses simultaneously without much input from myself.

Igor Gurovich: Yeah.

Sean Weisbrot: Just like that.

Igor Gurovich: Amazing.

Igor Gurovich: Amazing.

Igor Gurovich: I just love the world, in which we live now.

Igor Gurovich: It's just you have an idea and you can go and realize it without any, like, developers, any big teams, any capital.

Igor Gurovich: That's amazing.

Sean Weisbrot: Yeah.

Sean Weisbrot: The problem is the builder trap.

Sean Weisbrot: Right?

Sean Weisbrot: Because I have an idea, and then I build it. Right?

Sean Weisbrot: So you gotta commercialize.

Sean Weisbrot: But I'm solving I'm I'm building things that solve my problem in a way that can also solve other people's problems.

Igor Gurovich: It's the best way, I think.

Igor Gurovich: Because, yeah, you you understand

Sean Weisbrot: Yeah.

Igor Gurovich: much better the problem itself.

Igor Gurovich: But I think the the best thing is that you can test a lot of hypothesis now.

Igor Gurovich: Okay.

Igor Gurovich: Maybe something won't work, but maybe something will work.

Igor Gurovich: Why not?

Igor Gurovich: You just spend, I don't know, one day or week to build something, and you can test

Sean Weisbrot: Exactly.

Sean Weisbrot: Exactly.

Sean Weisbrot: Where it used to take years and hundreds of thousands of dollars of guessing.

Igor Gurovich: it. Absolutely.

Igor Gurovich: Even now when I I don't know, I'm building, like, decks or landing pages, very simple task.

Igor Gurovich: I'm so happy each time that I don't have to spend any time with designers, copywriters,

Igor Gurovich: developers.

Igor Gurovich: I'm just doing things on my own.

Igor Gurovich: That's amazing.

Igor Gurovich: Mhmm.

Sean Weisbrot: Just make sure you ban EM dashes because websites have EM dashes on them,

Sean Weisbrot: and then it's, like, obviously written by an AI.

Igor Gurovich: Mhmm.

Igor Gurovich: Yeah.

Sean Weisbrot: What's the hardest thing about what you do?

Igor Gurovich: I think the hardest thing is commercialization, as you mentioned,

Igor Gurovich: because major part of companies in this space, they are b to b focused.

Igor Gurovich: Obviously, because money are in insurance companies, mainly.

Igor Gurovich: So and when you're an early stage company, b to c track requires

Igor Gurovich: money for user acquisition, obviously, and it's not easy.

Igor Gurovich: And for b two b, you are too early.

Igor Gurovich: It's very hard to,

Igor Gurovich: reach the right companies and the right people.

Igor Gurovich: So I think that is the hardest way here because strategically

Igor Gurovich: strategically, we believe that could we could be a good source,

Igor Gurovich: for preventive medicine.

Igor Gurovich: Because even now, we track a lot of health related things, during conversations.

Igor Gurovich: And, we see that health care system in The United States slowly changing

Igor Gurovich: its direction to prevention.

Igor Gurovich: But imagine how difficult it's for a small company,

Igor Gurovich: to reach insurance big insurance, players.

Igor Gurovich: It's very hard.

Igor Gurovich: But, I yeah.

Igor Gurovich: So I think that that is the the hardest,

Igor Gurovich: thing here is to to find the right business model.

Igor Gurovich: And I I think another point here, which is close,

Igor Gurovich: the health care system in The United States is so complicated.

Igor Gurovich: Every person

Igor Gurovich: whom I'm talking to is specialized in one particular zone,

Igor Gurovich: and no one have has the general picture.

Igor Gurovich: And it's different between the states,

Igor Gurovich: the bills, the finance.

Igor Gurovich: It's just it's very complicated.

Sean Weisbrot: I wanna switch gears real fast and ask you a question about product.

Igor Gurovich: Mhmm.

Sean Weisbrot: About fifteen years ago,

Sean Weisbrot: I interviewed my grandmother.

Sean Weisbrot: I I took my camera.

Sean Weisbrot: I sat her down in in her apartment, and I started interviewing her.

Sean Weisbrot: I did a few videos.

Sean Weisbrot: They're, like, thirty, forty minutes long each.

Sean Weisbrot: My goal is to capture her story in the hopes that

Sean Weisbrot: filling in the gaps that she provides, along with what I know of her life, after she dies, which she's still alive.

Sean Weisbrot: She's she'll be 93 this year.

Sean Weisbrot: But after she dies,

Igor Gurovich: Wow.

Sean Weisbrot: there will be a way to kind of recreate her through AI.

Sean Weisbrot: But at the time, AI didn't exist in a commercially useful way.

Igor Gurovich: Yeah.

Sean Weisbrot: So the idea was like, oh, maybe there's a way to, like, have a website where people could upload information about their deceased loved one, or they could prepare information about the person before they die so that afterwards, there's, like, this this information hub about this person

Sean Weisbrot: so that, you know, your if your kids are really small or they're you know, when they they have kids, like, that person never gets forgotten.

Sean Weisbrot: That person can remain relevant in the lives of the family.

Igor Gurovich: Yeah.

Igor Gurovich: Yeah.

Sean Weisbrot: Have you considered using the inputs from your customers to simultaneously,

Sean Weisbrot: in the back end, create a knowledge base about that person

Sean Weisbrot: that could then fill in gaps and create this artificial persona with the permission of the family later on?

Igor Gurovich: I will start,

Igor Gurovich: with the fact that there are companies that are doing like this,

Igor Gurovich: I don't know, making digital portraits of if we can save it in the following way.

Igor Gurovich: And it's it's a great idea.

Igor Gurovich: For us, we think about implementing it. I think it's a great idea, but it's an interesting challenge

Igor Gurovich: or, how to say it, ethical question here,

Igor Gurovich: where whether there is a burden between privacy

Igor Gurovich: and, I don't know, and which information we can use,

Igor Gurovich: to keep it. But in general, I I like very much this idea because usually, I I don't know.

Igor Gurovich: For example, my example, unfortunately,

Igor Gurovich: I didn't spend a lot of time to ask the right questions, to my grandfathers and grandmas.

Igor Gurovich: And, being able to make it when they were, with us

Igor Gurovich: would would be great.

Igor Gurovich: I think it's great feature.

Igor Gurovich: It's not like the core part of the product, but it could be done, on the back as as you, mentioned.

Igor Gurovich: Because if you have these conversations, we can build stories,

Igor Gurovich: behind that and use it in different ways.

Igor Gurovich: I saw an interesting idea.

Igor Gurovich: It was not like a big company.

Igor Gurovich: But, one girl I saw it on Instagram, she used, audio recordings of seniors.

Igor Gurovich: Some of them

Igor Gurovich: passed away, some some of them not.

Igor Gurovich: And she generated with an AI fairy tales for children.

Igor Gurovich: Just they were generating fairy tales and in some parts, the recording of the voices,

Igor Gurovich: was used.

Igor Gurovich: And that was also one of the ways to keep our beloved ones,

Igor Gurovich: in our lives as well.

Igor Gurovich: But I saw met a lot of people who were sharing their memories with an AI, some veterans, some I think everyone has a lot of stories,

Igor Gurovich: interesting stories to share.

Igor Gurovich: Their experience, their lives, it's it's very interesting to hear.

Sean Weisbrot: So the way I would imagine it working for your system is that if your AI is conversational and proactively conversational,

Igor Gurovich: Yeah.

Sean Weisbrot: it can say, Hey, tell me about this time.

Sean Weisbrot: Right?

Sean Weisbrot: What was it like during this time of your life?

Sean Weisbrot: What was it like?

Sean Weisbrot: So it tries to learn about the person, and it can build those stories in the back end

Sean Weisbrot: by collating the information and the stories and things like that that that they are asked to share.

Igor Gurovich: That's actually something where I spent a lot of hours because there is some science and research behind that.

Igor Gurovich: Because I wanted to make this, voice AI be engaging and, know, which conversational topics are more engaging for the elderly,

Igor Gurovich: and how to make these conversations interesting.

Igor Gurovich: That actually, that's why we have a couple of PhD gerontologists,

Igor Gurovich: in the advisory board, and maybe that is something that differentiate us from the products.

Igor Gurovich: I don't know if we go the right way, but my idea is

Igor Gurovich: to make to provide value for the elderly adults.

Igor Gurovich: How we can not just solve practical things like ordering taxi, ordering groceries, but how to make a helpful assistant for them, an engaging assistant.

Igor Gurovich: Of course, that that will be not something that will solve all the problems of loneliness and social isolation,

Igor Gurovich: but I think it could be helpful in many ways.

Sean Weisbrot: The reason why I suggested why I thought about it is because you you want people to remain social,

Igor Gurovich: Absolutely.

Sean Weisbrot: and people love talking about themselves.

Sean Weisbrot: And the older someone gets, the less,

Sean Weisbrot: I believe, the less they feel useful to society and the less they feel valued and the less they believe people wanna listen to what they have to say, even though they're the ones we should be listening to.

Igor Gurovich: Absolutely.

Igor Gurovich: And I have, like, I wouldn't say ideas, but dreams.

Igor Gurovich: But maybe with the development of the product, we could generate more ideas how we can use this waste wisdom, this knowledge.

Igor Gurovich: For example, I have a very basic example.

Igor Gurovich: I think there were some projects that were matching elder lonely elderly adults and, like, small children,

Igor Gurovich: who need, like, nanny.

Igor Gurovich: Yeah.

Igor Gurovich: That's the basic example.

Igor Gurovich: But I think we could find a lot of,

Igor Gurovich: great ideas how we can use this knowledge and this experience,

Sean Weisbrot: Yeah.

Sean Weisbrot: I mean,

Igor Gurovich: which we currently don't use.

Sean Weisbrot: I I don't see why the AI is not capable of assessing their physical and mental abilities to say, hey.

Sean Weisbrot: There is an opportunity to volunteer at an elementary school nearby, and this person is mentally fit and physically fit.

Sean Weisbrot: They're capable of actually doing this, and it would be meaningful to their their daily existence.

Sean Weisbrot: They are able to actually get to that school and do it.

Igor Gurovich: I I think maybe maybe

Sean Weisbrot: So

Igor Gurovich: apologize,

Igor Gurovich: for interrupting.

Igor Gurovich: I think maybe, you know, like, in Japan is a great example where elderly adults,

Igor Gurovich: are used in many volunteer jobs.

Igor Gurovich: For example, when children go to school or go after school, they have to, like, lick on the roads.

Igor Gurovich: And I think they're not paid for that, but it it gives them the role in the society and the feel that they're needed by the society.

Sean Weisbrot: across the street.

Sean Weisbrot: I I think they should be paid for that.

Igor Gurovich: Ideally, yes.

Igor Gurovich: I don't know if they're paid in Japan, but but the idea is is cool.

Sean Weisbrot: I mean, there's people that do this in The US, but, generally, it's their job.

Igor Gurovich: I see.

Sean Weisbrot: I don't know what they're getting paid, probably not much, but they're getting paid something.

Sean Weisbrot: And I think that in itself,

Sean Weisbrot: you know, is really important because as well, when you get older, if you don't have an ability to earn income, and

Sean Weisbrot: you don't have that much saved, especially in The US,

Sean Weisbrot: it's really hard for people to retire these days.

Sean Weisbrot: So, if you give them something that's meaningful, that's enjoyable, they can build relationships if they're seeing those kids every day, as an example, that's just one thing.

Sean Weisbrot: You know?

Sean Weisbrot: And they're able to make you know, they're they're able to spend that time doing something they like and they get paid for that, then

Igor Gurovich: Mhmm.

Sean Weisbrot: it means that there's a little bit less stress in their life as well.

Igor Gurovich: And I think there are a lot of open questions here because, many people say that people live and will live longer, nowadays.

Igor Gurovich: So that many people will change many times their careers and, the way

Igor Gurovich: what what what they're doing in the world.

Igor Gurovich: So there are very interesting open questions.

Igor Gurovich: When we get older, what will we do? What will be our role in this society?

Igor Gurovich: That is very interesting.

Sean Weisbrot: And we're constantly figuring that out until we're too old to figure it out anymore.

Igor Gurovich: Yeah.

Sean Weisbrot: And the the question is, what do you wanna be when you get older?

Sean Weisbrot: I'm like, I'll be 40 in a few weeks.

Sean Weisbrot: I still don't know what I wanna do when I grow up.

Igor Gurovich: I'm 36, and I still don't know frequently.

Sean Weisbrot: Yeah.

Sean Weisbrot: I just wanna create.

Sean Weisbrot: I just wanna have ideas and create those ideas and and watch them help people.

Igor Gurovich: Absolutely.

Sean Weisbrot: What is it that drives you?

Igor Gurovich: What what drives me?

Sean Weisbrot: Yeah.

Igor Gurovich: You mean in particularly in this product or in general?

Sean Weisbrot: General.

Igor Gurovich: It's not a good question.

Igor Gurovich: I'm from family of doctors,

Igor Gurovich: and I actually plan to become a doctor, but changed my decision in high school.

Igor Gurovich: So I think I'm the person for whom it's very important to make something, good in the world.

Igor Gurovich: And working and helping

Igor Gurovich: elderly adults, that was something that still inspires me more than ten years.

Igor Gurovich: Because the idea came up to me, like, ten years ago, and I was observing what can I do?

Igor Gurovich: And only, like, last year understood that voice AI and AI in general is something that could be used here.

Igor Gurovich: And I'm very passionate about adult adults, and I still have this example and memories about my grandpa.

Igor Gurovich: And that inspires me. If I can build something that will make lives of adult adults

Igor Gurovich: still a little bit easier, a little bit happier, I would be very happy.

Igor Gurovich: And I'm very inspired by these people.

Igor Gurovich: I for example, this generation of twenties, they're they're completely different, and I respect that.

Sean Weisbrot: What do you mean by this generation of twenties?

Igor Gurovich: I can share with my example of my grandpa.

Igor Gurovich: So he was born in late twenties.

Igor Gurovich: He went through the war when he was a kid,

Igor Gurovich: and he was a professor of psychiatry, and he

Igor Gurovich: learned and shared his knowledge during his whole life.

Igor Gurovich: And he worked he worked until his late years, I think, until 20 until 90. Like, I think

Igor Gurovich: current generation, at least in my example, it's it's different.

Igor Gurovich: But they are, like, as as they were stubborn, brave, they worked a lot.

Igor Gurovich: He still is great he's a great example for me.

Sean Weisbrot: What's the most important thing you've learned from him?

Igor Gurovich: I think the most important thing is from him was to learn

Igor Gurovich: every day.

Igor Gurovich: He was very smart and intelligent

Igor Gurovich: in all the areas, not just Catherine, Madison.

Igor Gurovich: I don't know, like opera, books.

Igor Gurovich: So he influenced, a lot, on my education and my, way of

Sean Weisbrot: What do you think the most important thing you've learned in life at in general

Igor Gurovich: life.

Sean Weisbrot: to date?

Igor Gurovich: Do only things that you love.

Igor Gurovich: Money is not on the first place.

Sean Weisbrot: Okay.