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Hey, what is up?
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Welcome to this episode of the Entrepreneur to Entrepreneur podcast.
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As always, I'm your host, Brian Lofermento, and I am so excited about today's guest and entrepreneur because this is someone that I can already tell we're all gonna love his energy and, on top of that, he is doing some very cool things with technology.
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Dare I say?
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I promise you that this is going to be new use cases of technology that we haven't even dreamed up just yet.
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I'm so glad that he is one of the innovators behind this technology to help people live better lives.
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Let me introduce you to today's guest.
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His name is Moses Casozzi.
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Moses has a background in statistical analysis at the Federal Reserve Bank.
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He has been in product management in the identity and authentication space.
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He's been in product management in the wearable space, in fitness, health and criminal justice, and, finally, a founder of his own company called Mulongo Inc.
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Mulongo provides digital twin solutions that enable users to improve the utility of their prized assets.
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If you're hearing that thinking what do digital twin solutions look like?
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Moses is going to share some really cool stuff with us here today.
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He also has his first product, which is coming out this year.
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It's called Osear, which is a wellness digital twin that will use AI to enable users to reach and maintain their wellness goals.
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So this is someone who really sees the possibilities of technology and, most importantly, the bridge between technology and making better decisions, living better lives and pushing society forward, which you all know.
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That's my favorite use case for entrepreneurship, so I'm excited about this one.
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I'm not going to say anything else.
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Let's dive straight into my interview with Moses Kasozi.
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All right, Moses, I am so very excited that you're here with us today.
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First things first.
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Welcome to the show.
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Thank you for having me brian happy to be here heck.
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Yes.
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Well, I'm excited to hear your backstory because you are doing such cool things, but I know that one thing leads to another and always sounds chronological, but give us that story.
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Who's moses?
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How'd you start doing all these cool things?
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absolutely so like.
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Like you mentioned in our intro there, my career has mostly been in technology, but it started in finance.
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So I started out as a statistics analyst in Dallas, texas.
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But while the work we did there was pretty important stuff.
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We focused on analyzing capital requirement reports, structure reports to ensure that bank holding companies were complying with Dodd-Frank, so essentially safeguarding the financial system.
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I realized that was a little bit reactionary work and I wanted to be a part of something forward-looking, so I left Dallas.
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I came back to Denver and got lucky, joined a company at the time called Payphone which specialized in identity authentication.
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They rebranded to Prove Identity today, but when I joined they had about 60 employees and by the time I left, years later, we had hundreds of employees.
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So it was a big education in introducing a new product to market, learning about business expansion operations.
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We diversified our product team.
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We diversified our sales team, our product portfolio, our sales group.
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So it was a great, great education that told me you know what, if you have an idea one day, these are the steps you can go through to execute.
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So I left Proof.
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After about five years I joined another company that was specializing also in identity authentication, but at the enterprise level.
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This time I didn't last long.
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I was fired after a few months, but I did take in a lot in those few months, specifically to do with go-to-market, and that being let go was kind of a motivation to go into entrepreneurship, because at some point you define yourself as you know, I work in technology and I'm this product person, and then they take that away from you and you go okay, this is a mini identity crisis, so, but that was the fuel to say you know what?
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At the end of the day, entrepreneurship is all about solving problems.
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I'm a problem solver.
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Let me go out in the world.
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I have this idea.
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If it can make people's lives better, I'll go execute on it, and that's how we we ended up working on mulongo.
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In a brief summary yeah, I love.
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I love that overview, moses, especially because you bring up a word that I hear so frequently from our audience the idea.
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There's so much emphasis on the idea that starts any entrepreneurial story.
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I want to really go back in time because when you left your job and you said you had the idea and actually it sounds like the idea was really planted earlier on in your professional career.
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But I want to understand that idea because when you looked at the landscape of your life, of your career, of all the possibilities, I'm sure that there were so many different problems that you could solve.
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I'm sure that there were so many different applications that you could think of for technology and based on your expertise.
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Where'd the idea come from?
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What did that look like for you to assess that landscape and say you know what?
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This is what I want to work on yeah.
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So I've always been being in technology.
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Some one thing that actually impressed me a lot was the efficiency with which we manage digital assets, right?
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So if you think of a typical technology company to assets, right?
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So if you think of a typical technology company, the production code has several variations of it.
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In the background we have, for example, a stage environment, a developer environment, where people are constantly iterating to improve and make a better asset, and once they find an improvement there, they push it out to production.
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So that idea in itself has had always fascinated me and I was playing around with it.
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You know, you read stuff.
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You think, okay, how can I have this in the real world?
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And then, lo and behold, one day I read this article it was in the Wall Street Journal about digital twins, right, which is digitizing physical assets so that you can actually improve their maintenance and consumption.
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Putting that aside, on the other side now I live in Colorado, right?
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Colorado is a very we're a very pretty active bunch around here and we constantly people go skiing, hiking, biking, running, all these things going on and it dawned on us that this idea of actually compiling what we are doing with digital assets and the activities that people are engaging in are linked by the wearables right, and at the time you know the wearable trend was going up.
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So we decided this is something that I live in, colorado, personal to us.
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The technology is there.
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It's now a matter of combining the technology and the things that people are doing to provide this solution.
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So that kind of built up to the idea.
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But I say the icing on the cake was also being originally from Uganda.
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An environment like Uganda kind of gives you this understanding of the fragility of life, and one of the things that we did back there was engaging in tiny little habits that help you improve your well-being right all together.
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So let's say, you wash your hands or you know you boil your drinking water, stuff like that.
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And I figured, if you build an application like Osea, at the end of the day it's giving people tiny little recommendations that can guide them on their wellness journey.
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So bringing all that together actually came to the idea.
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Part of it personal, part of it environmental, part of it technological, but where I'm from, where I live, the technology we deal with, I combine all that and said you know what this is?
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Wellness is a problem that we should be tackling.
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We have an idea that could actually help solve this problem.
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So that kind of built up the idea.
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Yeah, I love that, moses.
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So frequently when I talk to entrepreneurs, I find that the best things happen at the intersections of things that we bring to the table through past experiences, our skill sets, our passions.
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That's why I think that that advice of follow your passion it's good advice, but I don't think it's complete advice, because I think when you layer on our experiences, our background, you talk about how much you, being from Uganda, has factored into the way you see the world.
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I say quite frequently on the air, being a first generation American, my mom is from Albania.
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I see the way that that shapes the way that I see the world.
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So, moses, I love hearing about this stuff.
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I want to ask you to introduce listeners deeper to what a digital twin is, because when you talk about health and fitness, there's a lot of ways for us to achieve our wellness goals.
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Why a digital twin?
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What does that actually look like?
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Paint that picture for us.
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Absolutely so, basically, by definition, digital twins are digital replicas of physical assets.
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So, basically, by definition, digital twins are digital replicas of physical assets.
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How they differ from you know a replica, for example, something like a photocopy is that you're constantly getting real time feedback, right?
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So what we're doing with Osea, and why it's a wellness digital twin, is that it's aggregating or centralizing actually is the right terminology centralizing data from your wearables.
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So, whether it's a smartwatch, whether it's a smart ring, whether it's a hearable, whether it's a patchable, you know we're having smart garments come on market too.
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What we're doing is we're consuming that data, right, and then creating a photocopy of you in real time and saying, okay, this is who you are when it comes to.
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Okay, this is who you are when it comes to steps, this is who you are when it comes to blood oxygen, this is who you are when it comes to your VO2 marks, et cetera.
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Now that we are monitoring that, the question then becomes what are my wellness goals?
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I want to improve my sleep, I want to improve my fitness and the subcategories in that.
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But the beginning step is the monitoring and creating this copy and then using that copy to do monitoring, to do prediction and to achieve the wellness goals.
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So at the end of the day, it's centralized data, making it seamless, making it stackable stackable being that it's holistic it encompasses your health, your fitness, your sleep, your mindfulness and nutrition and then using that to actually answer your wellness goals right, and we can get into some of those goals and then doing things like prediction.
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So digital twins, in a way, is putting a terminology on the technology.
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So many applications are existing right now that are doing something similar, but the real-timeness is what makes it a digital twin.
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There has to be that constant feedback between your wearable and this digital version of you.
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Yeah, and I think it's so cool.
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As someone who is a fellow Apple Watch user, like yourself, I find it's really cool that we're just always amassing data, and the cool thing is that we've actually been doing this for more than a decade.
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At this point, whether we realize it or not, it's cool that now we're at the point where we're able to use that data, which is the most powerful aspect of data not just collecting it or having it.
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So, moses, introduce us to the AI aspect of it, because I'll tell you this it's fun being a podcaster because I hear from a lot of people every single day, and I feel like we've reached this point in the AI arc where everybody just assumes anything that happens with technology, oh, that's AI, even if it's a basic algorithm that Amazon has used for ages.
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Now people are saying, oh, they use AI, and, of course, we all use AI in very different ways.
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What's the AI component to this?
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What is enabled thanks to the powers of AI that we maybe didn't have, you know, 20 years ago?
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absolutely so.
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What?
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One of the use cases we've found so far when we uh doing interviews with our future users, is that we ask them how they've been using llms, for example, right, these large language models, things like g, gpt, gemini, deep, seek Now, etc.
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And we found that one of the things they do constantly is they get their vital.
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So, for example, I get my weight, my blood oxygen, my heart rate, average heart rate, median heart blood oxygen.
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I feed that into the LLM and I ask the LLM how do I compare to my peers?
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How do I compare to people?
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My age?
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It tells me how I compare my, you know, mid-average, below average, better than average.
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And then the next question people are asking is how do I improve a given category?
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So how do I improve my sleep compared to my peers?
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How do I improve my?
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So how do I improve my sleep compared to my peers?
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How do I improve my mindfulness compared to my peers?
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And what we are to quickly answer the question there is with OSEAR, ai is going to come in in the recommendation engine specifically.
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So we have metrics that we'll be spewing out to help users track and improve, but also we have a recommendation engine, which is going to be the bread and butter of our application of a seer to say all right, moses, you actually walked 10,000 steps today.
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This is what you can do to improve your body preparedness for tomorrow.
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If you want to engage into that high intensity activity.
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Here's the things you could do.
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If you improve your, if you increase the number of steps by you, you know, 200 more steps, it will leave you in this category.
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So our recommendation engine is going to be our bread and butter and with that engine, we are leveraging a lot the large language model.
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Specifically, we're going to be using Gemini in this particular aspect.
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So, if you look at the workflow, ai for us is coming in at several levels.
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One at the data generation level, because a lot of the wearables right now are leveraging machine learning in calculating states, in calculating blood oxygen and all that.
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So those processes are leveraging AI.
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And then, once we get the data going through our algorithms, we do the metric analysis that is going to tell you where you lie in terms of body preparedness, energy levels, stress levels, muscle metrics.
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Then we feed that into the large language model and then we ask the large language model to actually give us those answers regarding comparison to your peers and some of the things that you could do to recommend to improve comparison to your peers and some of the things that you could do to recommend to improve.
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So AI is going to come in specifically with our recommendation engine, specifically leveraging the large language models.
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Yeah, I love that, Moses.
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It's so cool.
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To me, this is the way that we need to be moving in that direction.
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Everyone is just giving AI basic prompts and it just spits out generic answers from its training.
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But to have it assess our real likenesses, our real data points in real time to give us actionable insights, I think that's where the real value of AI comes, when it comes to synthesizing all of this data that we've been collecting.
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So, hearing you talk about that, a lot of people might be thinking well, Moses, you are building a product in the wellness space, which is obviously a very crowded space.
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Where does this product live?
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What's?
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What's the actual use case?
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Is it an app that lives on our phone and takes that data from different sources?
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Is it a software program that we can fire up on our computers?
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Paint the picture for us of what osir looks like absolutely, that's a very, very good question.
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So, primarily, it's going to be an app on the phone, because we are looking at that integration with wearables and looking at the notion of us bridging the gap between activities that people are engaging in and their wellness goals.
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It has to be something that is mobile, so it's going to be a mobile application.
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But to go back to the point of the wellness landscape that you made there, it being a crowded space when we're engaging with our future users, one of the things that we are finding is people are looking for a solution that is seamless, stackable and hyper-personal, right?
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So can I bring my own device?
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You know, you and I are big fans of the Apple watch, but some people like the gumming, some people like the aura ring, some people like the Samsung ring, some people like the Fitbit.
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So can I bring my own device and achieve the same goal?
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And then seamlessness.
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So so that's thelessness, and in terms of stack, a lot of the solutions in the wellness landscape today are very segmented.
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So you have sleep-specific solutions, fitness-specific solutions, mindfulness-specific solutions.
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What we are saying is that we need something that is holistic, because your sleep affects you know how you go about through the day, your fitness affects how you sleep at night, so you can't segregate those segments.
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So Osea is combining all those segments into one application.
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And then the hyper-personality is something we already spoke about, where you have your real-time feedback between your wearable and the application and any recommendation that Osea gives you is specific and hyper-personal to you.
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So, yeah, it's going to be an app.
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We have an entire brand around the Osea application, leveraging some of the activities that we do here in Colorado.
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But you will live in the app store, you will connect to any wearable that is out there and it will help users bridge that gap between the true goals that they they want to achieve while engaging in some of the activities that they enjoy to engage in yeah, moses, hearing you talk about all of these things, you clearly understand the landscape so well because you talk about the, the isolation between all of these.
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You're right, the apple watch as much as I love it, it is not great for tracking sleep, because it does need to be charged every single day.
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I look at people with Fitbits, for example.
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Those batteries last longer.
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They wear it while they sleep, they wear it while they shower, they wear it all the time, whereas you and I take our Apple Watches off at the end of the day.
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And so you clearly understand that which the thing I'm going to call out is that in typical business podcasts and books and YouTube videos, we always talk about understanding your ideal customer profile and we always talk about building out that customer avatar.
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But, moses, I get to talk to entrepreneurs for a living and what I have found is that the entrepreneurs who most deeply understand their markets are serving themselves.
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Talk to us about how much that's been the case.
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As you've been mapping out OCR's product market fit, as you've been mapping out its features, it sounds to me, moses, like you're really scratching your own itch here and building something that you want to take advantage of.
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No, absolutely.
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And you know, brian, you make a good point because without understanding the market, it's like you're solving a problem in isolation.
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So you have to be in the weeds, understand the market, how people are using it and for us specifically, this is a growing market.
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So, for example, if you look at, apple released statistics last year saying most people who wear the smartwatch either received it as a gift, you know, thanksgiving or Christmas and you got this watch.
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So most people are wondering okay, what do I do now?
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Right, so there's some guidance needed there.
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And also, the other thing we found was that most, on average, smartwatch owners wear smartwatches four days a week, 15 hours a day.
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You know that's a long time to just be looking at your number of steps.
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So the market is growing.
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Last year, 160 million restable units.
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It's altogether the projections that we're going to have over a billion units manufactured in 2026.
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Units manufactured in 2026.
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So, and that includes restables smart rings, patches, earwear, eyewear it's a big umbrella, but the trend is towards growth and the reason is that it's very clear.
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I mean, if I'm to bring up the big H in America, healthcare we talk a lot about the inefficiencies in healthcare, but I don't think we talk enough about preventative healthcare, and an application like Osea emphasizes that.
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That.
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Here's tiny little things that you could do, either on a daily basis or, you know, more than once a day.
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That will help you, you know, elongate your wellness, guide you on this wellness journey, improve that prevention aspect of our health, because by the time we're engaging with that, with the healthcare system, it's kind of an emergency kind of situation.
00:20:18.329 --> 00:20:19.553
So, but what are the things?
00:20:19.553 --> 00:20:22.801
What are some of the things that we could do to not even get to that step?
00:20:22.801 --> 00:20:25.237
So this is a space that is going to keep growing.
00:20:25.237 --> 00:20:49.059
Adaptability is going to keep growing and as technologies become more refined right processors are now becoming faster in processing, connections are becoming more efficient the adaptability is going to increase because sleeker devices are going to come on market and as we build applications like Osea, our use case is going to be more refined to give you well, hyper-personal recommendations.
00:20:49.059 --> 00:20:59.659
So the market to me is optimistic of the market and someone who is a consumer in this space, personally I think it's going to go towards growth.
00:21:00.369 --> 00:21:08.095
Yeah, moses, that answer gets me excited because you just shared for us that the hardware is changing fast and moving in the right direction.
00:21:08.095 --> 00:21:11.935
The software capabilities are changing fast, the demand for it.
00:21:11.935 --> 00:21:14.137
You talk about preventative healthcare in the United States.
00:21:14.137 --> 00:21:17.440
Gosh, that is only a conversation that is getting louder.
00:21:17.440 --> 00:21:20.297
All of these things are moving in that right direction.
00:21:20.297 --> 00:21:35.573
So I hope I'm not putting you too much on the spot here, moses, but I do want to ask you about timeline because, as someone who's interviewed so many people building amazing products, I know that these things take time and obviously we've all heard about MVPs, minimum viable products and, of course, there's a future looking roadmap.
00:21:35.573 --> 00:21:42.999
But as the founder of this company, as an entrepreneur who's bringing a solution to the marketplace, how do you view timeline?
00:21:42.999 --> 00:21:46.560
Do you feel that time crunch of saying, hey, we need to get this out there?
00:21:46.560 --> 00:21:49.700
Is this a carefully calculated, long term roadmap?
00:21:49.700 --> 00:21:51.698
I'd love to get inside your timeline head.
00:21:53.009 --> 00:21:54.115
Yeah, no, it's hoof.
00:21:54.115 --> 00:22:00.782
We could talk about that optimization in my head for an entire day.
00:22:00.782 --> 00:22:03.157
No, it's all of those things right.
00:22:03.157 --> 00:22:07.401
So you have to think of the market, think about the new.
00:22:07.401 --> 00:22:12.118
So for us, specifically, our solution is unique because we're leveraging.
00:22:12.118 --> 00:22:13.823
It's a BYOD solution.
00:22:13.823 --> 00:22:18.601
We're leveraging where it was that users are always going to have.
00:22:18.621 --> 00:22:22.919
So you have to kind of be forward looking and say what's coming to market, right?
00:22:22.919 --> 00:22:23.862
What's the new trend?
00:22:23.862 --> 00:22:26.133
Are people adopting more wristables?
00:22:26.133 --> 00:22:31.143
Are people adopting more smart rings?
00:22:31.143 --> 00:22:37.872
We were at the wearables conference in Silicon Valley in September and you could see the emerging technologies.
00:22:37.932 --> 00:22:54.836
There's smart garments, there's body patches, there's muscle sensors and some of these things sound like super futuristic, but once the designs are refined and a use case is put out there and people realize that there's benefit to it, the growth just becomes exponential hawkish growth.
00:22:54.836 --> 00:22:56.219
The growth just becomes exponential hockey stick growth, right.
00:22:56.219 --> 00:22:57.621
So I look at that.
00:22:57.621 --> 00:23:00.244
I look at where we've been right.
00:23:00.244 --> 00:23:08.553
For example, the mother of all this was Fitbit 2009,.
00:23:08.553 --> 00:23:13.920
And then we had Aura 2014, whoop 2012, samsung 2013,.
00:23:13.920 --> 00:23:16.522
Apple came into the watch market 2015,.
00:23:16.522 --> 00:23:17.805
But now it's like everybody.
00:23:17.805 --> 00:23:23.721
So you have to kind of look into the history and say, okay, this is the trend, this is where people are going.
00:23:23.721 --> 00:23:27.939
And then this is what people truly care about, and I think right now, wellness is.
00:23:27.939 --> 00:23:31.837
You know, our great grandfathers cared about their wellness.
00:23:31.837 --> 00:23:33.023
We care, you know.
00:23:33.023 --> 00:23:35.811
I'm pretty sure our great grandchildren will care about their wellness.
00:23:35.811 --> 00:23:46.079
So, but putting all that in mind, one thing for me that I focus on is putting out a good product, and I know we iterate as entrepreneurs.
00:23:46.079 --> 00:23:52.279
We put something out there, test it out, but I want to put out a solution that is beneficial to people.
00:23:52.279 --> 00:23:59.464
And so timeline for Osea we are looking at spring sorry, not spring.
00:23:59.464 --> 00:24:01.829
Fall, september, november area.
