Navigating Data Privacy in the AI Era with Rachel Cash

In this episode of the Beyond Normal Podcast, we sit down with Rachel Cash, founder and CEO of Elroi, to explore how data privacy is evolving in the age of AI. With a background in law and years of experience in healthcare tech, Rachel breaks down what companies need to know to stay compliant, ethical, and competitive in a rapidly shifting digital world.

Listen in as we discuss the rise of privacy-first products, what true data ownership looks like, and how leaders can embed trust into their systems from day one. Whether you’re building a startup or leading innovation at scale, this episode offers a clear roadmap for navigating data privacy in today’s AI-driven landscape.

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Transcript

Kenny: 0:33

Welcome, welcome everybody to another great episode of The Beyond Normal Podcast, where every founder story is a journey worth exploring. I'm your host, Kenny Groom. Today I have a very special guest in studio with me. Hello. Yes, Rachel Cash. She is the, you go by CEO or founder,

Rachel: 0:51

um, founder and CEO, founder and CEO

Kenny: 0:54

of Elroy and El. What Elroy does is it's a first party data platform. Uh, with, uh, AI driven insights and seamless compliance, uh, for. Organizations and for consumers. We're gonna dive into that in a little bit. But without further ado, I just want to thank you for coming on the platform today. I

Rachel: 1:14

appreciate it. It's awesome.

Kenny: 1:16

Yes, yes. Uh, have you been on podcasts before?

Rachel: 1:19

I have.

Kenny: 1:19

Alright. So you know the drill, right? We're gonna really. We're gonna leave no stone unturned. We're gonna dig into your story. So without further ado, let's hop into the first question. Mm-hmm. We're gonna take things back, right? In terms of what you were doing before Elroy and what, you know, what led you to start thinking about data privacy as a business? That you would wanna take a gamble on yourself with, with being a founder?

Rachel: 1:43

Yeah, that's a good question and it's a long answer, so I'll try to truncate it down for us. Um, so I went to North Carolina Central School of Law, so I'm a legal eagle. Shout out central. Um, and when I went to law school, I always knew I was gonna go into business. So I, I always knew that I wanted to go on the business route, but a lot of the classes I took were constitutional law driven and, and I really fell in love with how does one own their persona or themselves, their likeness in an ecosystem. And just like, so I graduated a little bit ago, so 20, was it 20? 13. I went to, uh, 2013 I went to law school. So it's, it is been a minute. 2014 I went to law school, so it's been a minute. And so then I was focused on trademark law. Um, and so thinking, think Michael Jordan trademarking his signature, um, Jor, the Jordan emblem. And can individual consumers do that or individual people do that? It was right in the like onset of. Um, NFTs mm-hmm. And more people putting themselves on YouTube and in the digital economies. Um, coupled with, I was working the front desk at, in law school, so I had no technology experience, but I was working the front desk and kind of just had everybody coming back and forth. So I was kind of like this central mechanism while very interested in the constitutionality of, of individuals. Right. Um, so start studying for the bar exam. All these things are kind of all these thoughts around how can people own their likeness under the constitution? How can we integrate in technology into this? And then there was an Experian data breach when I was sitting at the front desk. So I took like a whole side, like a, a side trip into security. Mm-hmm. Um, and things just kind of snowballed from there. I did SOX two compliance. Right after law school, just because I got really hyperfocused on it. It was just. By happenstance and my first job there was an opportunity for privacy and it just like was all the stars aligned? Um, the California Consumer Privacy Act had come out. Mm-hmm. And they were look like, basically needed someone to help. This program that they were running. So I was working in insurance in all, um, in Chicago and just everything aligned perfectly and privacy I found was like where the law was keep trying to weave in the constitutionality of how do we protect consumers. It was technology. It was moving fast, and it's something that you rarely see. In the legal field. And from there I started building data orchestration systems. So the strategy around how organizations. Deal with data. How do we protect consumers? And so I was really excited about this'cause one, I was making money. Mm-hmm. And two, I was doing something I liked and I was living in Chicago, but then COVID hit Oh right. And I had a lot of time to sit and I was like, ah, I'm doing something, but I'm not really, still not solving the constitutional problem I believe in. That's what started me at like on El Roy's path. So long story all, basically all these things kept coming to me and. I found a problem that I, I wanted to solve. I love

Kenny: 5:06

that. So that aha moment for you when you knew it, you wanted, like what was the, was there a particular moment like, that sounded like it was a, a quite a few experiences, so was there a particular moment where you were like, I wanna

Rachel: 5:22

start. I think the moment. So I, I've had a couple in those, in that path. I had a couple experiences, so I was relatively new attorney, so all my thoughts weren't always escalated to the top or the decisions that were made. Um, and the decisions that were made were strategic decisions that were best for companies that I was working for and not best for the consumers that were gonna be impacted. And all those nos started to like accumulate. Like, Hey, I think this is gonna be best for consumers. But I was getting red taped, like saying, no, we're not gonna do that'cause we have to predict this from the business. And that was a trigger for me. Like, oh, this isn't, we are not solving what I really wanna solve. And so I just kept growing and growing and growing. And then I, I think the final. Step was one of the organizations. We were the first company to use OneTrust. One of the first big companies to use OneTrust, which was a data, is a data privacy company. Um, and they became the fastest growing startup, um, that year. And I was. Fundamentally opposed to their approach to privacy. And while I, we implemented the tool with the way that I, we thought were the best at the time. Um. I said, if this team can do it, I can do it. And I think it was just seeing that visibility and seeing a team who was doing something new and people giving them chances while knowing there's a problem that I knew how to solve or had an idea that was kind of, that jumped off the edge. Mm-hmm. And COVID gave me the opportunity. You didn't look back since? Yeah. I mean, I have looked back.'cause like I said, I was making money.

Kenny: 7:05

Oh, got you. So, okay, so you, but you having that strong background in privacy law. Like how did, how do you think that background prepared you? To be a founder.

Rachel: 7:20

Um, so there's a lot of things about being a founder or just a business owner in general, even if you're not in tech, that I, I think it's hard to jump over. For example, like filing your LLC, doing your C Corp. Uh. Even knowing like what's your best privacy strategies now are becoming like more and more core to what founders need to think about.'cause your investors are gonna ask you about your compliance, even if you don't have everything set up, what's your approach to it? So a lot of those hurdles, I think some founders had from. I think a founder will have a couple hurdles they'll have to be able to overcome. Some of them will be legal, some of them will be based on sales and some of them be on marketing. The legal hurdle was not something I, I felt like it, it, legal stuff comes naturally to me, so I just, it, it just helped me not feel. Scared about things that we had to do. Setting up and being strategic about that was, was fine. The parts that I needed more alignment than I, that forced me to spend more or work on more, were like marketing and sales and how do we communicate a story. Um, on the other side of that, I'm very, very detail oriented and think like a lawyer, so everything has like a risk profile to me, and so I, I do. While being a founder, I'm taking a lot of risks, but most of the, the steps that I, I think through are I, we probably build technology that we don't necessarily need because I understand our risks from like a security and privacy perspective. So I wanna be at the bleeding edge of that. Okay. Not necessarily where, Hey, we have an MVP and we can do this, and, you know, if something happens, then we make the, the next jump.

Kenny: 9:03

Yeah. Okay. So on that. Side of things, you feel like you go above and beyond.

Rachel: 9:09

Right.

Kenny: 9:10

Got you. Okay. That's

Rachel: 9:12

which I'm sure my tech teams hate. Yeah. I, I'm so sorry for anybody who's worked with me from a technology perspective, but I may not understand everything. I'm always like, Hey,

Kenny: 9:23

here's a issue. How do you know? Like, how do you know? Because the a a lot of guests that we've had on are, are just founders that I talked to. They mm-hmm. They have that mentality that, you know, if it's like 70% done mm-hmm. I'm gonna release it. Mm-hmm. And then I'll figure out the rest. So like, how do you overcome?

Rachel: 9:44

Yeah. That's a really good question. So yeah, the. The ability to not get so caught up in like, it has to be perfect. So my perfection is more on the backend things that you don't see. So how our data is being stored in our systems. We, we, I really believe in decentralizing. Data storage. Um, being consumers, being able to delete their data on demand, having segmentation of our data in our, in our, um, environments who we're using as a cloud provider at a time is really important. There's big debates. I know a lot of US startup founders do. Uh. Cloud or credit jumping, which I'm, I've been, uh, you know, I like credits as well, but you know, digital ocean is, sometimes it has a little bit more risk than maybe you're using Amazon or like IBM and it may be more expensive to you. So I think a lot of the stuff that I have lower risk tolerance on or more on the back end, or at least having the documentation that we can prove out while on the front end, like, yeah, could you make. Hey, you, you're logging into the platform and it may like do something funky and you still release it. Yeah, that's fine. I have like a lot of, uh, bandwidth for that. But some things like from our data storage perspective, I don't have a lot of data. You stick

Kenny: 11:04

Okay.

Rachel: 11:05

So let, let, now I hope this doesn't come back to bite me. Like, no, no, no. Perspective. Let's, let's, let's test her system.

Kenny: 11:12

Oh, got it, got it, got it. So I wanna talk a little bit about, um, a lot of startups now, a lot of companies, now you're in the privacy space. Mm-hmm. I think of the word like trust, like

Rachel: 11:23

Yeah.

Kenny: 11:24

You're trying to build trust with your, like your end user, things like that. When you're a startup founder, you have to focus on your early customers. So I'm curious, like, how did you go about. Building trust with some of those early customers when it comes around privacy and data, which is not a, it's not a sexy topic.

Rachel: 11:43

Yeah, that's, yeah. No, it's, it is true. It's not sexy and most of the time consumers don't care about it at all. Mm-hmm. Like when we talk to consumers or when we first launched and was like, Hey, we're a privacy product. You should, privacy is a right. No one cared it. It did not speak to the core. So what we did, we did have to go back and really interview our consumers and understand what they wanna see. And the next digital economy or ecosystem, is it really important for you to own your data or is it really important for you to have action with that data that you now own? And uh, and once we discovered it was important for them to be able to action their data and have that own level of control, that's when we start building out more features based on that. So like by that, well, what, what I mean by that is like, we used to allow, like automate you. Um, submitting your DS a R, so your data subject request rights, so you can ask any company for deletion or return of data, the company that based on the regulations, they have to do that for you. Historically, nobody does that. So yeah, nobody goes back and says, yeah, yeah, you're just not interested. So the, what we've found is that, okay, maybe you don't want, you don't care to get access to all your data, but even right now you, this is a podcast platform. Having access to your audience and their data would be really significant to you as a business owner. Mm-hmm. Do you have all that access? And where are all the places that you wanted? Mm-hmm. You being able to action that means more to you. And that's just us learning. To build trust through understanding what the need is and how we can meet the need. Um, and so, and, and second to that, we go to business owners and bring them onto our platform. And based on that institutional relationship, consumers typically trust us. Got it. So we know consumer marketing is expensive, so anybody who does it well, kudos to you. Yeah,

Kenny: 13:35

yeah. I got, I like that. And I think it is. It's interesting because it's like, like you said, like we, we kind of give away a lot of, um, we don't give it away, but we just like, we just scroll through. Like when we download the app, we just, as consumers scroll through all like the, the, the, the letters at the beginning, like, Hey, like. The fine print. Yeah. Like we just want to get to the action. Yeah. But then there is power and me as a consumer being able to tell somebody how much right they can do with

Rachel: 14:08

my data. Right. Which I have a whole nother like long tangent I could go on of like, I believe having to accept terms and conditions or like contracts of co or coercion, like you don't have any power in that contract. So I, I don't think those should be legally binding. But I don't think anybody, like, I'm not taking on that fight. But it, it just seems like you can't force someone to accept everything That seems like it doesn't seem fair.

Kenny: 14:33

Yeah. That seems like a, uh, that seems like a podcast.

Rachel: 14:37

Yeah, but I, we digress. We, so I'm just like, you brought it up and I was like, oh, yeah. That doesn't seem right either, but,

Kenny: 14:43

and I think where we're, where we're going now, um, I'm curious your thoughts. Like when I think about data privacy

Rachel: 14:56

mm-hmm.

Kenny: 14:58

I feel like me personally, I don't feel like we have a lot of that.

Rachel: 15:03

Yeah.

Kenny: 15:03

Right. And so I feel like it's increasing. And then alongside that we have like something like ai, which is increasing as well. Yeah. So I'm curious, like how do you, are you thinking that you can use tools like AI to. Enhance the way like me, someone like me as a consumer or business can own their privacy a little bit more.

Rachel: 15:29

Yeah. So as we enter into, and so this is a great point as we enter into the intelligence era, right, where we are more reliant on automations and ai, which require more real time data. I think we're kind of like at the, like the, like right at the peak of like almost the.com boom. The same thing. Mm-hmm. And as human, like, as, uh, us as humans, as we engage with technology, we have a very interesting position to take and, and we have to make a choice. And that's kind of where Elroy is really trying to be. As you as a consumer, you use chat, GPT for example. You're just feeding it information eventually, and, and this is just a trend. We'll start using like our traditional internet searches less and you'll start going to chat GPT mm-hmm. Instead, and they'll have a profile of you and, and, uh, then do its own version of, and I forgot what the AI version is, but it's like. Uh, like AI optimization or something the same as like SEO, but like pulling the right website to the right answers to that, specific to to you. And so if we don't create ownership or. Like, uh, silos for individual consumers in this process, the existing big tech people will continue to move the machine forward. Mm-hmm. And without you being involved. So like, you're a small business, but you're highly reliant on other companies. Helping you Extremely reliant, extremely reliant. Then you, yourself, as a small business have a, that reliancy will continue as a consumer. You are then are in contracts that are forcing you to give stuff without any control. So we will eventually get to places where. You have no control and you're being influenced. So like even right now, I think we both, I'm gonna say we're around the same age, but, so we grew up in the internet where the internet truly was the internet, right? Yeah, yeah. Like right now, there's algorithms, it tells you what you like, it tells you, and that will get more and more integrated into everything that we engage with if we don't manage controls and, right. And the only way I'm thinking we can, my viewpoint is to manage controls, is who has access to that data and who. Is giving access and who's revoking access. Mm-hmm. That's one of the ways I think we can put these controls in. So hopefully I answered your question. Oh, you did, you did. You definitely

Kenny: 17:49

did. You definitely, you, you got me thinking too, like, what exactly am I even like giving away? Because I, everything I'm quick to just like, oh, this is the ai something that'll just, lemme

Rachel: 17:59

try something new. Yeah. Lemme

Kenny: 18:00

just try something new. And it's like. All right. Fine. Print. All right. Whatever. Get that. Yeah. Like lemme get to the action

Rachel: 18:06

that, because anything free costs us something. Yeah. I think that's what we have to remember. It costs you something, you just don't always know what it is.

Kenny: 18:13

So let, let's pivot a little bit. Let's talk about, um. What kind of people are you leaning on right now to build out Elroy? Like talk about like how you're building your team and, and, and what you're looking for there.

Rachel: 18:30

Yeah, so I, I think right now I've been based mostly building my team based on recommendations and I'm at a, I'm at a. Another crossroad as part of this, this journey. Um, when you're beginning, and I think this is probably similar to a lot of founders, there's very specific people that are interested in being in the startup world. You have to have a high risk tolerance. You have to have the ability to know that, like some days you don't know when that startup's going out of business. Mm-hmm. You just, you, you just are willing to do that. And then two, you have to kind of believe in the mission. So we just recently, I would say just recently, I'm starting to, mm-hmm. Be more focused on individuals who are looking to solve a really big prob, really big complex problem and understand the nuances of that problem. And I think before I was speaking about my problem, the problems that we were trying to solve, and it was going through recommendations or people around me, and now I'm more so looking in areas where people are already. Solving or looking or addressing the problem because it, we are in a complex problem state, and so it, so again, the pivot now is not so much recommendations as more people who are more mission aligned and I have more tolerance for what that mission aligned. May I, I mean, I'll take more risk on'em. Mm-hmm. Um, so that's kind of where I've been looking for teams. So more in privacy organizations starting to build up cohorts in the different like industries we're in. We have a couple beachheads, we're in healthcare. We're in, um, education. So people who are very understand the nuance and the insights that need to drive change in those industries. So we're, I'm, I'm being a lot more strategic about like, who I bring on the team and opposed to like, people are just like, oh, you're doing something cool. I, yeah. Lemme doing. Yeah. And then you're, then you're frustrated'cause you're wasting Yeah. You're, you're wasting your time a little bit because I can be really frustrated. Yeah. So, and yeah. Yeah. You've been through that. Yeah. You ain't, I hate you ain't gotta say no more for everybody.

Kenny: 20:29

No more. So transitioning a little bit because it, the, the way that you have laid out the privacy, um, focused market in terms of opportunity, it seems like there's, there's, there's space for, for a whole bunch of players in this space. So what, what, what could sort of advice would you give to someone who's thinking about starting a privacy focused tech company? Like, where should they be thinking?

Rachel: 20:54

Yeah, so I think there's, there's two paths. I think you could be a privacy focused tech company, I'll get to that. Or you're a tech company who's gonna be dealing with data. And I think more startups should be thinking through their data plan. Especially like everybody's like AI powered. Most startups are AI power, data power, doing something as part of that thought process or how you position yourself, it should be able to communicate your privacy by design. How are you dealing with your consumer's data as you collect it, and how, how is that gonna drive your business? So that's one path. So I think that's one thing that should be integrated in every startup and every business to be honestly, but mostly with startups and two of your privacy focus. I do think solving the data. Ecosystem issues requires a lot of different. Technology to come together and, and reshape the data ecosystem. So there's a lot of space fear here for where, how we leverage data, how we're managing consent for data, how you may be thinking about, um, data privacy differently than me, especially we have a huge generation, um, at Central working with. Um, students who are taking Central has a privacy course now that they're, they have backing from large organizations. So we have larger or younger lawyers coming in who are right at the, the, their, the beginning of their careers. So they have nothing limiting their thoughts of what could happen. So I think there's space for new ideas for privacy and that, and if you get a chance to get, get into the nitty gritty of the issues, it's a, it's a good. Industry to, to get in

Kenny: 22:33

it's safe. Yeah. I believe, I believe for, uh, based off what you're telling me, like it seems like there's plenty of, I'm a big prop proponent right now of like B2B businesses, right? Like us having more of those. And so it seems like there, there, there's some room for somebody who's coming in new, new to the space who's a new attorney or something like that to put on that entrepreneur hat and create something new.

Rachel: 22:56

Right. Perfect. Yeah.

Kenny: 22:57

So. I'm gonna ask this question a little bit selfishly. Mm-hmm. As a consumer, are there things as consumers we should be considering more when it comes to privacy and how we engage with

Rachel: 23:11

companies? Yeah, so it really is, and I know this, it's nuanced and it's complicated, but when you're, when you have a technology that you're using often, right? You need to make sure you're. Just at the baseline have some level of control over it. So if we're leveraging chat GPT often you can. We are, yeah. There's a setting in chat, GPT that says turn off training the model training. So if you think about it, like if, if we are using it. For our businesses, it's proprietary really, right? Mm-hmm. And so, but if you're training this model now, there's no guarantees. I'm not saying this is a guarantee that chat, GPT won't go out and train on the data, but they do have a toggle that says, Hey, don't tr train your l this model based on the data I provide. So really it should just be very local to your computer and what you provided. Mm-hmm. So in each technology, I think that's what you need to be able to do and find, uh, even if it's very nichey or very quick. Content of how I can be safer. So we use like meta a lot. So it's Instagram, they're, they're big policy shifts and making sure we understand the setting features. Mm-hmm. In those policies, you're, you're, you probably leverage YouTube and Instagram and different things. Mm-hmm. There's settings that let you be public, and then there's settings that's like, yeah, I wanna save my searches. So that's how you get your like four U pages, but some of those you need to restart. Got it. So just really understanding the technology and where they're pulling your data from. Making the controls that makes sense for you.'cause I do think controls are on a spectrum. Some people it will, it will never matter how, how they own their data, what they're doing. If you wanna contribute to the greater good of, of OCHA GPTs model, great. Mm-hmm. But like for some people, if you're putting your proprietary ideas and trying to solve something, you, you may not want to do that.

Kenny: 24:58

Yeah. That's fair. That is definitely, so those are my tips. Especi, when it becomes a like business ip. Yeah. And you're putting in some ideas that. Interesting. You got me thinking. Yeah, I use chat GBTA lot, so like as soon as this is over, go toggle that I like, so like, do I have that toggle on? Or also I'll definitely be checking that. But I appreciate you giving us that tip. Um, and it definitely seems like there's just like a blurring of the lines where like, what should we. Or shouldn't be putting into like the AI tools. Mm-hmm. And I don't feel like there's like a clear answer now. And for a lot of business owners who are doing, you're wearing multiple hats, you're putting everything in there. Like you're putting the essence of your business. So it's important to have some, it's, it's

Rachel: 25:46

funny because we are like, I think YouTube on July 15th will say create, you can't have AI creators anymore.

Kenny: 25:53

Yeah, I saw that. And so

Rachel: 25:54

they're leading the industry. I saw that. But this, we're gonna start seeing this across industry. So like, I think us as individuals and creators should also be thinking through what are the rules that we think may impact us, and how do we live with that, even if it's micro steps. And so a micro step would be. Hey, you can't train on me. But for YouTube, they're like, oh yeah, we're not gonna let you compete your platform, compete with someone who's just like an AI version or a gen, like something that's not human. Um, make, well, human will make money off of them, but you know, it's like trying to limit that and they're like, at this frontage. But I think we also should be at the front end of micro steps that we each should be

Kenny: 26:32

doing. Yeah, that's a good point. And I, I did see that YouTube announcement. It is really interesting because. Like, and then it plays into like monetization. Yeah. And all these things. And it's like who's supposed to be getting paid mm-hmm. Off of, you know, there's probably pages with like a hundred million views and it's just like either AI generated or it's like really basic stuff like. Like sleep music.

Rachel: 26:59

Yeah.

Kenny: 27:00

And it's like,

Rachel: 27:01

and then what's blurring the line? What's going too far? Like what is the difference between me having a automated voice or AI voice? Say something and we have like these quote videos. Yeah, that's, no one's engaged, but it is just the quote video versus mm-hmm. Us saying, Hey, what should I talk about in this session? Like what's, where's the line? So again, it's on the spectrum, but I think we are at a unique place, even in our own businesses, to decide what's the line for our communities, the cultures that we're gonna be, that the culture shifts that we're driving, and it's our responsibility to be. Cognizant of that. And so

Kenny: 27:35

we're in the, we're in the moment now when it comes to, um, specifically data privacy, like where the change is rapid, um, regulations or lack thereof. Mm-hmm. Or like conversations are being had. So since we're in the moment now, I feel like the end has gotta be on the horizon. Yeah. So I guess like what do you see in like the next five years, like. How does this play out in, in, in your view?

Rachel: 28:04

Yeah, so I, I hope I'm wrong, but I do think AI and the access to data will drive a reduction in the human workforce. Mm-hmm. I, I hope that, that we replace those jobs with other jobs, but I don't right now see that as the trend. Um, so the vision for us at Elroy is that if a human can own all their data instead of. These companies that individual consumer can get paid from their data and, and, and, and bridge that gap of lack of fund money that we will see in the reduction of the workforce. That's really where we're, where we're looking in is. Gig economies will shift, actual workforce economies will shift as well. Our traditional workforce economies, if we can replace that with like your only as a human, your only renewable resource, current state is your data that, and so if we can shift that to say like, okay, you own it and now you can share it. Mm-hmm. Like in feed this digital economy going forward. Then that's, that's what we're, what we're trying to do. But I, I do think the, the, the foundation of that is based on privacy. Like your right to do this is based on privacy, and if we don't focus on the privacy part of it, then we won't get that. Right. So I don't, again, I'm hoping that like all, like, like 50% of the workforce won't get replaced by like a robot, but like inevitably, I, I think that's the path we're on from an innovation perspective. Yeah. We, we, we don't. Do the things we used to do anymore as we automate, and that's just industry. Mm. So that, that's, that's what I'm, what we're supposed to do. Oh, yeah. That,

Kenny: 29:43

that's really, I don't know, like which side I'm on yet. Mm-hmm. I feel like naturally. If there's all this automation and efficiency, we should be working less. Mm-hmm. But then to your point, like the extreme of that is the be like, hey, like you can work less, you can work at zero hours because we don't need you.

Rachel: 30:04

Yeah. So like less goes to zero because go to zero. I can't pay you. And the

Kenny: 30:10

Yeah. That's the part where, um, I don't,

Rachel: 30:15

now they, everybody says that this isn't happening. That all the, the studies say that they're not gonna do this. We can't. But like if we look at the trends, like McKinsey has laid off mm-hmm. Their bas and their junior mm-hmm. And consultants, they say those jobs can be replaced. That is something that's across, like agnostic to industry. Lots of things could be automated or we have enough information to let someone

Kenny: 30:42

Yeah. And then what remains is, I think what remains afterwards is a question, because it's like. Those could be the jobs that aren't necessarily where people want to go. Like there's no creativity in the job. Mm-hmm. Maybe like certain aspects are like

Rachel: 30:56

mm-hmm.

Kenny: 30:57

It's, it is a heavy, heavy topic. So the, I wanna segue, right? So when you're not building, like Elroy, right? Mm-hmm. And, and having these, um, really nuanced deep conversations on data privacy. Yeah. Like what do you, like, what do you do to recharge?

Rachel: 31:15

Um, I learned new skills.

Kenny: 31:17

Okay.

Rachel: 31:18

So I think in the, uh, and I don't know if this is, this is probably like a bad path for startup founders, but this is my path. I know that being a founder is hard and we are, are climbing up a mountain, which half the time we're sliding down. Like, so you climb up three steps, you're gonna slide down four usually. So I'm, right now I'm a activity girly, so I'm in a. Private pilot's license, uh, learning to surf, go, like golf lessons? Anything that you can't

Kenny: 31:49

sit still? No.

Rachel: 31:50

Basically, no. Okay. If I, if I'm sitting too long, I'm like, uh, I have a lot of, of space in like, time is my enemy. Like, it, it just is too much time. So I will do physical activities. To, to make myself feel better. So that's what sews into me. Mm. Um, like learning that like, it's like I feel like they're like patches and that's how I take life. Like everything is like a new little girl scout patch that I get. Got it. So I'm just trying to collect them all, all.

Kenny: 32:19

I never know that there's nothing wrong with that of skills being active, being outside. Yeah. Um. Especially in the time we're in, we just have so many devices and it's like easy to not go outside. Yeah. But then there's, there is value still in like, going outside and like, you know, our elders used to say like, go outside and touch grass. Yeah. Like, just go out, be be with outside of the devices, be with your thoughts. Mm-hmm. Um, there, there's, there's power in that. Yeah. So that, that's cool that you're, you have the. You have the capacity or the flexibility in this moment to be building your passion and then when you unplug, go outside. I think that's, I think that's pretty cool. Mm-hmm. So, you know, I appreciate you for sharing so much with us in this interview. I learned a bunch. And then a big thing for me, and I'm pretty sure some of our listeners, we're all gonna go to all those apps we're on now and be like, okay, like what are some, at least like question, what are some of the. Data privacy practices that they're, that they're, um, implementing now. Because again, folks, like I said, I pretty much, if there's an app I want, I'm just signing up for it and I'm clicking through the, through the sheets in order for me to do the final, uh, accept of those terms. But you've definitely got me thinking, and I'm excited actually, for this space now that after having this conversation with you.'cause there are layers there and that where those layers lie. I think again, there's opportunities for folks in the B2B space specifically. There's nothing wrong with consumer, but B2B I think is where there's gonna be a lot of growth. So tell our listeners how can they connect, uh, keeping, keeping in the loop on Elroy and all the things that you're doing.

Rachel: 34:07

Yeah, so we're at Elroy, ELRO i.ai is our website. You can connect with us on, um. Instagram, it's Elroy ai, um, on Instagram. So we're, we're pretty, we're easy to find. Um, just as a little tidbit, Elroy is named after the Jetsons. Oh. So, you know, I was about ask you where that, yeah. Oh. Um,

Kenny: 34:33

even though you're dating both of us, but I got excited when you, when you said that. Yeah. Like, that's the name

Rachel: 34:40

that is Yeah. I used to watch the Jetsons on Boomerang. So that's where it

Kenny: 34:44

came from. Don't, don't say you. I used to, we used to watch, we used to watch suggestions. I'm

Rachel: 34:49

sorry. Oh, that's dope. Yeah. So that's where it came from.

Kenny: 34:52

That's amazing. Oh, well I appreciate you, um, for giving our viewers that and they know where to go. Um, lasting thoughts. I always give it to our guests, like, what do you want our listeners to take away as the final thought from this conversation?

Rachel: 35:08

Um, I think just like, uh, one of the things I think of often I talk to my friends about a lot is that I think a lot, we as humans share ideas. And a lot of us have collective ideas, and the person who has the most resilience and the vision are the ones that get their ID ideas forward. So if you have an idea, you're looking to solve a problem, I think it's okay to talk to everybody about it. Mm-hmm. You'll probably get a lot of people, some, you'll meet somebody who had the same idea. What's the difference here is like either can you partner or how long can you work on it to, to get it done? Because it's, that's just it who gets it to the finish line. And I think we get discouraged specifically in our community about our ideas and we think people are taking them and it's, I think like God probably gives lots of people these ideas. It's just whoever has a resilience.

Kenny: 35:55

Yeah, I like that. I like that. Founders gotta be resilient nowadays. So what a way to, uh, close us out. Thank you again, Rachel, for, um, coming on and, uh, sharing your story and giving us some, some, some lessons on data privacy, uh, for all the listeners out there. Thanks for tuning into another great episode of The Beyond Normal Podcast. Peace.