The Device That Lights Up Contaminated Hands — Path Spot Founder Christine Schindler

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This is the Beyond Data Management Podcast powered by HS GovTech.
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Now here's your host, Cameron Garrison.
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Welcome back.
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Dog Days of Summer, all across EH Nation.
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Welcome back.
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Thanks for joining us again today.
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And uh the IQ of this show in this studio is about to take a big jump up.
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Been really excited for this conversation today.
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Christine Schindler, who is the founder and CEO of Pathspot.
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And if you haven't heard about them in the regulatory community, it's way past time that you did doing some really innovative things, but I'm sure a lot of you all are aware of them, and you'll say, Oh, I've heard about that.
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So, welcoming in Christine Schindler to the studio here.
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How are you?
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Thanks for making the time to do this.
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I know you're all over the country and the world traveling these days.
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I'm thrilled to be here.
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Thank you for thank you for having me on the pod.
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Absolutely.
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So the first time I met you actually was uh in Columbus, Ohio.
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We were on the AI workshop panel together there in Columbus at AFTO, and I had I had you know I had actually seen in the media you get really good PR, which is like really important to be able to build a business.
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And I had seen the original device that you had put out there, but had never met you and and and heard the story as thoroughly.
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So I've been looking forward to this ever since we uh bumped into each other there.
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It was such a fantastic year at AFTO this year, and I I loved the opportunity to be on that panel with you and so many other experts in the industry.
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I feel like there was just magic coming out of that session.
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It really did go well.
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It was a first for them, right?
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So you don't know like, is it going to be a great idea conceptually and then drag?
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It was really great.
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Like four o'clock in the afternoon came really fast for an all-day session.
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Absolutely.
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And and and I mean everyone there was so energized and engaged to talk about what AI look like in this next generation and how are we embedding that into our ecosystems?
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It it really created a huge networking effect going into the rest of the afto event.
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But it was great to be there with you.
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Yeah, and I think we may be there again next year.
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I think they're working on what the repeat is going to be, so that'll be a lot of fun.
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You though, you you didn't necessarily choose the easy path, right?
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So I I have a just a natural affection for entrepreneurs and builders.
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I I started my first company when I was 19 years old.
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And I had no idea what I was doing.
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I I realize that now.
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I didn't think I didn't at the time.
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But um but a lot of most of the things I've been involved in are X's and O's, right?
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It's code in the digital world.
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And uh there is a uh easy, a much easier path to build a business that way.
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You chose actual real tangible products in the world and uh hardware.
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I saw Elon Musk was saying recently in an interview that all of these uh whizbang entrepreneurs that are used to dealing in code to build their businesses are about to get a brutal lesson in the realities of infrastructure and uh hardware, especially with AI.
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You didn't go for an easy app, did you?
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You dell us about what your first thing is and how you actually got there, because it's not like something that everybody's aware of and has a passion to go fix.
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But tell us about that journey and that first product.
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I have so many questions about engineering something in the real world.
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I think you said once that you had a few occasional electrocutions in your apartment dining room because you actually built something.
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Lots of soldering as as I was building these initial and earliest versions.
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But I I love working in the physical world and actually being able to create something that combines software and data and analytics into a tangible infrastructural change for an operation, something that you literally install on a wall.
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I think that's one of the ways that you can create the biggest impact and stickiness and change for how people are actually doing their day-to-day operation.
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And there is something really special about watching something that that was in your brain actually get installed physically on a restaurant's wall.
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I remember the first time that, uh the very first time that a restaurant operator was like, yeah, let's let's put this up.
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And I'm like, we're gonna just hang it on the wall right here.
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Like, that's crazy.
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And now it's such an honor to have that be in, you know, over 10,000 operations across the world.
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Wow, there's 10,000 of them out there on the on the street.
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So actually, I don't know if we should do this now or later, but I actually have about a minute and 20 second clip from CNN that I think really showed this thing in action.
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Is it better for you to play that up front and then you can explain the journey, or do you want to do that a little bit later?
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Let's do it.
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Let's roll it.
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So this is this is the hand washing device.
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So if you want to just set it up, Pathspot's original flagship product, what was it sort of in a nutshell?
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And then we'll look at it.
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Yeah, so so my uh background is in biomedical engineering and global and public health.
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And I realized that there was this gap between healthcare products that exist today in our healthcare ecosystems, but could make real benefit in day-to-day life and in public health applications.
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For example, within foodborne illness.
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You know, you see these instances all over the news, people getting incredibly sick, um, hospitalizations, I mean, even deaths in horrible, tragic cases, and the impact that has on businesses.
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And we know where this contamination gets into our operations, right?
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It's very clearly from core areas of operational infrastructure, whether that's hand washing and hygiene, temperature control, expiration management, um, daily tasks around cleanliness.
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And hygiene is actually the number one driver of foodborne illness in our ecosystem.
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And when I realized that, I thought, it's crazy that the best practice solution we have is the sign that says wash your hands before returning to work.
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Like it feels like we should be able to do better.
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We're carrying computers in our pockets, right?
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Um, and so that's what really inspired me to create our flagship product of the hand scanner.
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And it's a device that mounts on the wall next to a hand washing sink in the back of house of restaurants, grocery stores, cafeterias, hotels.
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I mean, anywhere where food is handled, stored, or served.
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And right after a team member washes their hands, they put them underneath the device.
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And it's instantly checking for invisible contaminants that could make someone sick, you know, the host vectors behind those most common foodborne illnesses like E.
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coli, salmonella, neurovirus, hepe, listeria, the things you see on the news.
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And then it's real-time coaching the teams around hand washing and hygiene behavior.
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You know, how often are we washing our hands, how well are we washing our hands, and how does this build back to driving real operational procedure change?
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That is it's it's it's it almost looks like voodoo.
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It's so futuristic.
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So we'll show you the clip here.
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It actually is a really nice demonstration of what it does, and then we can get into what you can talk about.
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Uh don't want you to get patent secrets, but uh about how on earth you took it from a concept to work.
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So let's roll that clip, David.
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Developed by New York-based PathSaw.
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The device scans employees' hands for contamination each time they wash and can detect gut biome molecules in just seconds.
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And this is what you should do.
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You need to get in the cracks, in these little crevices here, inside the palm, and then nails it, especially, is where we see a lot of times uh people miss rinsing properly.
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Turn it off.
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And then you come over to the hand scanner, put your hands underneath, it'll let you know exactly when to flip.
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And then it'll let you know you're back.
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That data flow then translates back to management teams.
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So they're able to see in real time are we hitting our required hand washes?
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If we had a spike in hand washing contaminations, what actually caused that?
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When you come here and you go to scanned activity, it's gonna let me know how many times each day they're washing their hands.
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It'll let me know how successful they are here.
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All the systems combine help us just monitor everything and make sure everything's working properly.
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And it allows us not to be in the store all the time and be able to monitor it without being actually physically present.
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While that might sound like micromanaging, the CDC has found that in the past, restaurant employees are more likely to properly wash their hands when managers emphasize its importance.
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Our team members can wash their hands for 20 seconds, but we can find out where they're missing and coach our team on how to do better.
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Wow.
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So I'm just gonna give the folks who are working environmental health out there who hadn't seen this before a minute to kind of like pick their jaw back up.
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So I mean it's like literally like it lights their hands up and what's it picking up?
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Like that is amazing.
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Yeah, so it's using visible light fluorescent spectral imaging and it's autofluorescing those invisible contaminants that are the most common carriers of these foodborne illnesses.
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And each of these has a unique signature pattern that our algorithms are able to pick up based on how that light interacts with those contaminations.
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And the exciting thing about that is not only are we capturing, you know, is there contamination or is there not contamination, we're also capturing this most common contamination.
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And so you can actually also see if it's, you know, here, for example, maybe that's from a broom handle because of how that might have been contaminated.
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Or if it's here, you know, maybe that's from a tablet strap.
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And so by identifying the patterns of the most common contaminant carriers and then using, you know, that data set to be able to identify where they might be from, a training suddenly becomes a lot more cohesive and effective for a location.
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So instead of saying, you gotta wash your hands once every hour for 20 seconds, you know, it's important.
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Now we're changing that narrative to say, hey, team, listen, we're missing hand washes during the lunch rush.
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We need to really make sure we wash our hands between the hours of 12 and 2.
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And also, look, we're getting contamination again and again in our location on our fingernails.
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I know we've talked about fake nails here and why they're important.
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We need to really make sure that we're that we're washing and scrubbing our fingernails and not wearing, you know, fake nails or or um nail polish that may get contamination into the crevices.
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And what do you know?
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You know, contamination goes down, hand washing rates go up because it's actionable.
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I think everyone in a restaurant environment wants to do the right thing.
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There's just so many things pulling them into different directions.
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And so how we give them real-time tangible data that can help drive these results is is really important.
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You so like the audacity to step forward on this, right?
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Because there was no comparable data, right, to know how your market would respond to this, was there?
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Like the how much of a leap of faith was it?
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Because this just you, it's a new category.
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And how do you even compare it to know whether or not it's going to repay the investment?
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Yeah, I mean, it's it's hard when you're coming in something and people are like, all we have is a sign, or all we have is a hope.
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Um, but I think the more you talk to people in the industry, right?
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And when when we are getting started on this, and I was, you know, knocking on doors of restaurants every night and weekend asking people, you know, everyone said, I've waited 10 years for something like this to exist.
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This is the thing that keeps me up at night.
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I have nothing to benchmark against this.
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And I think, you know, that's the type of thing that gets me really energized.
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How are we utilizing technology and tools to reinforce the SOPs and policies that people have already put so much time into?
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We don't want to reinvent the wheel.
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We just want to create tools that help us to be able to drive that wheel forward and actually make sure it's implemented and encouraged.
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And I think when that happens, it's it's really magical to see the impact that creates inside of an operational environment.
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I'd have to imagine the hand washing and the quality of it goes up when there's one of these devices, right?
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Because you're right.
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If you're like wash your hands every hour, it's important.
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Okay, fine, but you have no verification on that, right?
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And there's no one checking whether they did it for five seconds or twenty seconds and did a good job.
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Is the fact that actually you have to kind of pass a test afterwards?
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Are you seeing that it improves frequency and quality of the actual washing?
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Yeah, absolutely.
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Those are the two core metrics that we that we really identify.
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You know, how are we increasing the quality and the frequency of hand washes?
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And then combining that with how are we driving trainings and up-leveling the overall um skill of the team around hygiene behaviors?
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Because you also find that, you know, hand washing is a very unifying factor.
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Everyone has to do it.
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Doesn't matter what your role is in a food operational environment, you will not find a role that is not required to wash their hands.
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And so you can actually leverage this to really drive food safety culture and to reward and incentivize against it in a way that was never possible before.
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Um, if you think about it from that direction, you know, when you can create ways to reward uh around certain things, metrics, that's what really creates emphasis around it.
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And before there was no way you could reward against hygiene behavior or personal hygiene because there was no data around it.
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So now you'll see locations running trainings or or gamifying it or doing uh competitions across stores for hygiene behavior and seeing how that up levels the culture across the board.
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Amazing.
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So does it does dude is there any logging that they have to do?
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So, like, does it know that Cameron washed his hands uh or or is it logging all of them in sort of master?
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It it really depends on on the way the infrastructure of the brand is set up.
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Um so certain certain brands at locations do want to know, okay, individually, Christine, did I hit all my hand washes this shift?
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Others will do shift level tracking.
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So we know this many people are on shift and they should be hitting this many general hand washes.
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It both are both are options um that we offer.
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You had two challenges um here.
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You had to actually We have many challenges, but they're all uh they're all opportunities.
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Two big ones is like you had a hardware problem to solve, but there's a lot of actual code and software, right?
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Because then what do you do with the data once the light is scanned the hands?
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Where do you even start?
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Like obviously you were kind of background-wise, you were STEM and you're super smart and an engineer, but like how do you even go about ordering your steps to start figuring out proof of concept on something like this?
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Yeah, I mean, I spent and I still spend a lot of time in kitchens.
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Uh, because the reality is you, if I went into a black box and tried to design what this should look like, what food safety technology should look like, I would get it wrong every time.
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Um, the best thing that I can do is sit in a kitchen, watch how the current operations go, talk to team members about what the opportunity is, let them try our solutions and tell us, I wish it looked like this, or I wish it worked this way, or I wish it'd be so much more effective if it if it did this, and then to build in that real-time feedback.
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I mean, the reality is the end users are the experts here.
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Um, and my goal is just to be able to translate their vision into a technology-backed product um and to build it quickly uh so we can uh continue to leverage the momentum we have.
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So for anyone who is an entrepreneur thinking about pursuing a big idea, I hope they listen to that.
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Because they're the yeah, your customers, your expert, right?
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Like and you the if you can be a sponge and go just spend time absorbing what they do and then apply your analytical thinking and your skill set to it, the product's gonna be right in the sweet spot, right?
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Because you all you did is uh regurgitated out a uh thoughtful engineered solution that addresses what you observe for yourself was hurting them.
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Well, and it translates.
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Um, one of my favorite things is when we're sharing the solution with a with a new location or or a new customer base that has never never worked with us before.
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And they say, It's like you made this just for me.
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Um and I think the reality is we we did, right?
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Like we we did make it just for them, and we want everyone to feel that way.
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Um, and so so that's you know the best compliment that I think I can get on the solution.
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So you did you build the first full prototypes in your home?
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Is like like the the mad scientist, like you in lieu of a workshop.
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Yeah.
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I mean, it was.
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It was it was uh soldering iron and a bunch of wires taped to a dinner plate in the first iterations of the solution.
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Um and I think what's been really exciting is also watching how that solution and and the time that we spent with all of our customers helped us to be able to identify what was next.
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So, in the same way that originally we were prototyping, you know, and and and taping wires to dinner plates around hand washing and hygiene, as that scaled, we realized what the opportunities were around temperature monitoring, around expiration monitoring, around checklists, and now around, you know, AI auditing capabilities.
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Each of those new layers to the system came um in the same mechanism of generating and getting real-time feedback.
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It's funny how that works out, isn't it?
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If you put that customer in their use case first and then you have you solve a problem for them, they start telling you all the other problems that they have, right?
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And they trust you with information that they would never share publicly.
00:18:07.920 --> 00:18:10.079
Well, and I think they get ideas, right?
00:18:10.240 --> 00:18:15.839
It suddenly it's like, oh, if you could digitize this, could you also digitize this?
00:18:16.079 --> 00:18:24.240
Oh, if you've helped me take this thing I've always done manually or on pen and paper in this way, what about this binder of other processes?
00:18:24.319 --> 00:18:32.559
Uh so it also just sparks innovation and creativity as soon as you start embedding, you know, new ways of approaching problems into an operation.
00:18:32.960 --> 00:18:33.519
That's so true.
00:18:33.680 --> 00:18:34.880
What's the AI layer here?
00:18:34.960 --> 00:18:35.440
Are you using?
00:18:35.680 --> 00:18:44.400
I know AI is a huge applicability, which we'll talk about in the other problems that they've brought to you or that you've observed and elegantly found ways to solve.
00:18:44.480 --> 00:18:48.880
But on the what's the AI part, if any, on the uh hand washing device?
00:18:49.200 --> 00:18:53.039
Yeah, I mean, AI is definitely ingrained in all of our products.
00:18:53.119 --> 00:19:08.960
Um, and part of that is how are we synthesizing all this data that exists in the world, either from our own internal use cases or from external use cases, and using AI to be able to leverage all that data and information to inform best practices in real time.
00:19:09.119 --> 00:19:30.880
Um, and so by running, you know, an AI-powered algorithm against all this data, you're able to quickly pattern match, you know, maybe it's maybe it's the doorknob that's dirty in this moment based on the way that hand washing patterns have have evolved, or, you know, oh, we're seeing the same levels of contamination happen across this network of areas.
00:19:31.039 --> 00:19:34.720
Maybe that means that there's a source contamination error or issue.
00:19:34.880 --> 00:19:53.359
Um, so I think leveraging the power of AI alongside, you know, just day-to-day operational excellence and and the materials we already know and we're building against on those SOPs that that already exist, we're able to build that into the, you know, what happens next and how are we getting that real-time data back to locations?
00:19:53.440 --> 00:19:57.119
Because I think the biggest thing is like there's a lot of data in the world right now.
00:19:57.279 --> 00:20:05.680
And if you don't have a way to synthesize, analyze, and get that information in into a place where it can be beneficial, then it's useless.
00:20:05.839 --> 00:20:11.039
Um, and and so that's one of the biggest ways that we leverage AI across the whole platform and definitely in the hand scanner.
00:20:11.359 --> 00:20:15.759
Yeah, AI is it shouldn't be viewed right as a uh solution in search of a problem.
00:20:15.920 --> 00:20:20.799
You you need to identify a problem and then determine how AI will custom fit to solve it.
00:20:21.119 --> 00:20:25.359
Yeah, and leverage, create more leverage for for you against that solution, a hundred percent.
00:20:25.599 --> 00:20:27.200
And then that unlocks the next door.
00:20:27.440 --> 00:20:29.680
I love what you said because we see it with government all the time.
00:20:29.839 --> 00:20:33.200
Oh my gosh, you if you can do that, well, what about this, right?
00:20:33.279 --> 00:20:37.039
Like they start actually thinking more creatively like a product person.
00:20:37.440 --> 00:20:40.880
Um was the the pandemic was that helpful?
00:20:41.039 --> 00:20:49.759
I would assume that with health getting so much of a spotlight there, did you get any sort of tailwind help from the chaos that was going on in the world?
00:20:49.920 --> 00:20:51.279
Because when did this first launch?
00:20:51.920 --> 00:20:55.759
Yeah, I mean, we we were already working on this um prior to 2020.
00:20:55.920 --> 00:20:57.759
We launched the business in 2018.
00:20:58.000 --> 00:21:14.079
I will say that if there's any, you know, silver lining to the catastrophic elements that existed for the industry and the world at that time, I do think an awareness around health and safety and hygiene was really heightened and has persisted, right?
00:21:14.240 --> 00:21:21.759
I think people are more aware of overall policies and ways to impact their own personal hygiene and the hygiene of those around them.
00:21:21.920 --> 00:21:28.559
I mean, if you just think about it 10 years ago, you asked people on the street, yeah, you have to wash your hands for 20 seconds, that's happy birthday twice.
00:21:28.640 --> 00:21:29.519
People are like, what?
00:21:29.839 --> 00:21:31.519
No way, that's so long.
00:21:31.680 --> 00:21:35.440
You know, now you can ask anyone on the street, how long are you supposed to wash their hands?
00:21:35.680 --> 00:21:36.160
20 seconds.
00:21:36.799 --> 00:21:37.920
And even your Apple Watch.
00:21:38.079 --> 00:21:40.160
If your Apple Watch hears water, it starts counting.
00:21:41.680 --> 00:21:49.119
Um, but I think you know that that mechanism has really driven people to be more aware of of health and hygiene.
00:21:49.200 --> 00:21:52.720
And, you know, cleanliness has become a part of the new ambiance.
00:21:52.880 --> 00:21:58.640
People have come to expect cleanliness and health and hygiene in the locations that they that they want to visit and go to.
00:21:58.799 --> 00:22:00.559
And I think that's a Good thing, right?
00:22:00.640 --> 00:22:13.359
Like that puts us in a spot where we're able to, as a whole, collective, you know, prevent different uh illnesses and and potential potential devastating things, you know, outside of of the issues that came during the pandemic.
00:22:14.000 --> 00:22:20.400
So you you are so diverse in your interest in what you've uh accomplished and not even with just with this company.
00:22:20.559 --> 00:22:23.279
So go do go go blue devils, right?
00:22:23.359 --> 00:22:26.880
You graduated from Duke, just up the road from where we are right now.
00:22:27.359 --> 00:22:32.880
Um and so if we rewind to early years of Christine at Duke.
00:22:34.079 --> 00:22:37.680
Where where, you know, because we all have it figured out when we go to college, right?
00:22:37.920 --> 00:22:39.759
Where did you see yourself?
00:22:39.920 --> 00:22:40.960
What did you want to do?
00:22:41.119 --> 00:22:42.640
And where did you see yourself?
00:22:42.799 --> 00:22:44.960
Uh and if not this, like what was the difference?
00:22:45.119 --> 00:22:52.000
Because I I know in my own life um the the best stuff came from the stuff that I didn't have on the bingo card.
00:22:52.160 --> 00:22:52.319
Yeah.
00:22:52.640 --> 00:23:00.160
Um and you obviously had a ton of options um with your intellect and and the way you look at the world.
00:23:00.319 --> 00:23:06.000
So where'd you think you were going back before this this caught on and you you put your energy into it?
00:23:06.400 --> 00:23:07.200
Well, thank you.
00:23:07.279 --> 00:23:13.920
I I appreciate that those com that that those comments, and I think uh college-aged me could have needed to hear them.
00:23:14.319 --> 00:23:16.960
Um but it it's interesting, you know.
00:23:17.039 --> 00:23:20.319
I think uh engineering was was I so I was studying biomedical engineering.
00:23:20.559 --> 00:23:22.160
It was it was challenging for sure.
00:23:22.240 --> 00:23:32.480
And and I think, you know, a lot of the coursework, especially early in in an engineering curriculum, is you know, intro to physics, intro to comps I intro to different, you know, high-level maths.
00:23:32.640 --> 00:23:35.440
And um, there's not a lot of application behind those.
00:23:35.599 --> 00:23:42.079
Uh it's it's often very theoretical and very dense when it comes to the subject matter.
00:23:42.160 --> 00:23:43.839
And I was struggling through that coursework.
00:23:44.079 --> 00:23:44.960
Like it was hard.
00:23:45.119 --> 00:23:48.799
And I wasn't quite sure if engineering was even the right thing for me.
00:23:48.960 --> 00:23:57.119
Um, and it was actually the layering in, and and and I started to take these global and public health courses because I was really interested in them.
00:23:57.279 --> 00:24:10.720
And in so many of those classes, we were talking about the engineering needs, the things that that we needed engineers to develop and to build to be able to support the causes and challenges in the world of global and public health.
00:24:10.880 --> 00:24:14.480
And there were no other engineers in my global and public health courses.
00:24:14.559 --> 00:24:19.440
And no one in my engineering classes was being connected to these real world problems.
00:24:19.599 --> 00:24:21.519
And I realized that there was a gap, right?
00:24:21.599 --> 00:24:26.559
You know, the why behind what I was doing wasn't there at the time.
00:24:26.640 --> 00:24:31.680
And so by drawing those parallels and realizing, oh, there is a why behind this.
00:24:31.759 --> 00:24:38.799
You know, I want to be able to create this intersection of what are these challenges and how do we build back real problems for them?
00:24:38.960 --> 00:24:44.960
Um, and that's what really inspired me on this journey and on the journey of being able to drive that impact.
00:24:45.039 --> 00:25:18.640
And actually, started a nonprofit organization driven by that mentality where we bring um students, young girls onto college campuses and have them build devices, have them do engineering work that makes an impact in the world, building solar-powered USB chargers for disaster relief scenarios or electrocardiogram simulators for training of doctors and nurses in the developing world and giving them that connection between, you know, engineering is not just bridges and cars and math problems, but it's a way to drive real impact towards problems in the world.
00:25:18.720 --> 00:25:20.880
And that's what led me on this journey in the first place.
00:25:21.119 --> 00:25:22.400
That's girls' engineering change.
00:25:22.480 --> 00:25:23.519
Is that correct?
00:25:23.759 --> 00:25:26.160
And you started that like way a while ago, right?
00:25:26.240 --> 00:25:27.920
Was it like 2012 or something?
00:25:28.160 --> 00:25:32.640
Yeah, right, right when I was when I was experiencing these problems as a student myself.
00:25:32.960 --> 00:25:33.279
Wow.
00:25:33.519 --> 00:25:39.279
Are we making progress in that trope that, oh, engineers, that's that's boy stuff.
00:25:39.599 --> 00:25:41.119
Is that is that getting better?
00:25:41.200 --> 00:25:43.359
Because there's been a gap historically, hasn't there?
00:25:43.599 --> 00:25:46.319
Yeah, you know, and I think there, there, it's always improving.
00:25:46.480 --> 00:25:49.519
The world is always improving and and moving to these new levels.
00:25:49.680 --> 00:26:04.720
And I think across the board, um, young, young men and women alike, it's important for them to be able to understand what is the impact of engineering, why, and and I think young, young people in general are altruistic, right?
00:26:04.799 --> 00:26:09.200
Are want to go into something that makes a difference in the world, want, want to make and drive change.
00:26:09.359 --> 00:26:28.000
And so being able to link engineering to those problems and and demonstrate how having an engineering mindset helps you to be able to solve problems that exist, um, I think is a really compelling and and powerful tool that that has become, you know, much more a part of the narrative and and hopefully will continue to be.
00:26:28.319 --> 00:26:28.640
It is.
00:26:28.720 --> 00:26:35.839
And you also, is it sometimes you get a bad fact, but um are you you work with the Clinton Global Initiative as well, right?
00:26:36.160 --> 00:26:36.640
Yes, yes.
00:26:36.720 --> 00:26:39.200
I was a part of the Clinton Global Initiative University program.
00:26:39.519 --> 00:26:45.200
That's uh how the I they sponsored and and supported me throughout my journey with Girls Engineering Change.
00:26:45.279 --> 00:26:53.519
And I've been honored to to stay involved as a as a mentor and and speaker and to be involved in that organization, you know, even through now.
00:26:53.759 --> 00:26:56.640
That must been that must be a fun experience, um, right?
00:26:56.799 --> 00:27:02.559
Because they tackle big problems and um and of course they've got a big name uh behind them.
00:27:02.720 --> 00:27:04.559
Have you have you enjoyed that that relationship?
00:27:05.039 --> 00:27:05.440
Absolutely.
00:27:05.599 --> 00:27:17.200
You know, I think programs and initiatives and and especially you know the support and and network that I've built through the Clinton Global Initiative and the Clinton Global Initiative University program is so inspiring.
00:27:17.359 --> 00:27:25.680
And and their mechanism is, you know, you come with a challenge and a problem, a commitment to action, in their words, that you are committed to solving.
00:27:25.759 --> 00:27:34.960
And so everyone who's a part of the group and organization has a mission, a real commitment to action with measurable results that they're working to solve and working against.
00:27:35.119 --> 00:28:06.960
And I think at a young age, and and now, you know, the friends that I've carried through that program that that we still get to mentor and be involved in the program and still get to go back, you know, and and and stay in very close contact, all of us working on different problems, that network and community also inspires you to keep going, also reminds you that that there's a purpose behind that, helps you in the days where it is, as you mentioned earlier in our in our conversation, challenging, hard, you know, filled with impossible and seemingly, you know, I see no direction of where to go next.
00:28:07.039 --> 00:28:17.039
And other people charting their own impossible paths along these challenges and opportunities and getting inspiration and support and ideas from them.
00:28:17.200 --> 00:28:23.119
You know, those dialogues and friendships have have made a huge impact in in my life and in Pathspots journey.
00:28:23.359 --> 00:28:26.400
Yeah, and it's like it's one of those things when you give of your time, right?
00:28:26.640 --> 00:28:32.720
You you get rewarded in ways that are non-monetary, but it's also good for your core business, isn't it?
00:28:32.880 --> 00:28:35.759
Like, right, because it keeps you driven, it keeps you connected.
00:28:35.920 --> 00:28:44.319
Um and I think a lot of entrepreneurs are guilty of a little bit of laziness because they're like, oh, but then I'd have to travel an extra weekend or right.
00:28:44.400 --> 00:28:52.000
And so you you actually can turn down things that might be considered optional, but that actually move you forward in a profound way.
00:28:52.559 --> 00:28:58.319
For me, the friendships and other people on this entrepreneurial journey is definitely one of the most inspirational things.
00:28:58.400 --> 00:29:04.480
And us all being able to help and support each other on those journeys makes it all feel so much more possible.
00:29:04.559 --> 00:29:12.000
And in a world that can be, you know, isolating or or lonely at different times when you're trying to figure out these challenges and opportunities.
00:29:12.160 --> 00:29:22.480
Um, collaborating and getting that infrastructure of being in it with others that are pushing things forward and celebrating each other's wins uh is one of the best parts of the journey.
00:29:22.720 --> 00:29:32.960
There is a unique, you said the word lonely, and I think an entrepreneur and a founder's journey can be lonely, even if they're you know always networked with good people.
00:29:33.200 --> 00:29:41.200
Because ultimately it does come down to you have to, after all the money spent, all the analysis, all the engineering, you got to make a call, right?
00:29:41.440 --> 00:29:53.759
And and you hope you're right and you've got the right data, but you no matter how many people you have around you, ultimately there is that ultimate loneliness of now we have to test it against the real world, right?
00:29:53.920 --> 00:29:54.240
Yeah.
00:29:54.720 --> 00:30:04.000
Yeah, and and I'm fortunate, you know, I have an incredible team around me, an incredible network of entrepreneurs, incredible family supporting me in that journey.
00:30:04.160 --> 00:30:10.480
Um, but yes, for sure, when you're looking against these big challenges and like, all right, I'm gonna launch this into the world.
00:30:10.559 --> 00:30:22.000
And and it and it maintains that that energy, that enthusiasm, but also that that fear that that comes with, okay, I'm gonna create something and put this out here from my own my own brain and see what happens.
00:30:22.160 --> 00:30:42.720
And even now as we're expanding, you know, against new problems and challenges in the industry and and and have in the past, it's that same rush and and also that same element of putting yourself on the line and and trusting the intuition and support that you've gotten from from all these experts and and making it, you know, happen and really taking it to the next step with your team.
00:30:43.039 --> 00:30:48.240
So you originally, so out of school, I think you ended up at a job with corporate, right?
00:30:48.400 --> 00:30:49.359
Big corporation, right?
00:30:49.519 --> 00:31:00.319
And I but I think I mentioned that because it was part of I think some of what you saw there in that role opened your eyes to just how big of a problem was unsolved with your initial product.
00:31:00.400 --> 00:31:03.279
Uh and you also did some work, didn't you, in Kilimanjaro?
00:31:03.359 --> 00:31:13.200
Uh like so what, what, what pre-Hathspot kind of what sort of ended up being the source of inspiration and what were you doing that then made you say, this is boring.
00:31:13.279 --> 00:31:14.559
I gotta go chase this.
00:31:15.359 --> 00:31:16.880
Nothing's boring, you know.
00:31:16.960 --> 00:31:21.759
Uh, but uh, but there, but there's definitely um things that have inspired me.
00:31:21.920 --> 00:31:46.240
So I mean, I spent time in the research side of the world, um, and and during that, I spent time in the Kilimanjaro region uh working on and building low-cost, durable, accessible medical tools, obviously for very resource-constricted settings, asking the question, how do I make this technology work when there's no power, no Wi-Fi, no air conditioning, no ceiling?
00:31:46.400 --> 00:31:56.079
Um, and when I returned, you know, I was working in healthcare systems here domestically, still working on research and development and technology development.
00:31:56.240 --> 00:32:04.960
But I guess I started to see through those two experiences the gap in day-to-day applications of low-cost durable technology.
00:32:05.039 --> 00:32:19.039
I mean, when you look at a restaurant, uh they have many of the same problems, like low-cost, durable needs for solutions, um, needing it to work when there's inconsistent uh power Wi-Fi or next to a fryer.
00:32:19.200 --> 00:32:21.200
So there's inconsistent temperature, right?
00:32:21.279 --> 00:32:25.440
Like these are real, real challenges that we also needed to be able to develop the tools for.
00:32:25.519 --> 00:32:35.759
And I think, you know, fortunately, our our healthcare ecosystems here that I was working in do have access to most of these tools that didn't exist in the developing world.
00:32:35.839 --> 00:32:40.960
Um, but I recognize the need to bring those same types of technology into day-to-day life.
00:32:41.119 --> 00:32:45.519
And that's what inspired me to start this work around foodborne illnesses.
00:32:45.759 --> 00:32:46.640
So, where do you start?
00:32:46.720 --> 00:32:50.240
Like, where do you even source the parts to solder one together yourself?
00:32:50.400 --> 00:32:55.200
Like, um that like because every element in there is deliberate, right?
00:32:55.359 --> 00:32:59.200
And you I mean Radio Shack going out of business sales.
00:33:00.240 --> 00:33:10.960
And and it definitely was something where you were looking at it and realizing that you know, every dollar you spent on development was a dollar out of your own uh bank account at the beginning.
00:33:11.119 --> 00:33:34.400
Um, and I was fortunate to be a part of some early, you know, entrepreneurship communities like Venture for America, um, like the Clinton Global Initiative University that that had resources and support as you were getting started in these types of infrastructure, you know, opportunities to give you a little bit more support and mentorship and guidance and and and camaraderie as you were going against these challenges.
00:33:34.559 --> 00:33:41.759
But many of the people that early days we were all starting out our businesses together, you know, we remain really good friends as as we've gone through that scaling.
00:33:42.079 --> 00:33:46.720
So you've probably obviously there's probably been a challenge a day, uh, because that's just how these things work.
00:33:46.799 --> 00:33:48.720
But challenge an hour, Cameron.
00:33:49.599 --> 00:33:54.640
So did you did you have like a moment though where it was like you're like, I don't know.
00:33:54.720 --> 00:33:58.799
Did you did you hit a wall where you're like, I don't know how we actually solve this, right?
00:33:58.880 --> 00:34:01.599
Because sometimes it takes a while to break down an obstacle.
00:34:01.920 --> 00:34:13.119
Did there must have been some moments where you're like can I get this all the way to to like you mentioned, the moment where you see it proudly installed 10,000 plus places and and that is a rush.
00:34:13.440 --> 00:34:15.840
But um what were some what are some of the darker moments?
00:34:16.000 --> 00:34:23.039
Because I think that uh uh entrepreneurs and founders that do big things, they always uh a lot of times get focused on in conversations with uh glory.
00:34:24.400 --> 00:34:25.840
And rightfully so.
00:34:26.480 --> 00:34:31.760
But you know, like I used to say at a basketball fan, obviously, Tobacco Road Duke.
00:34:32.079 --> 00:34:34.800
Um you know, but they I think it was Jordan.
00:34:34.960 --> 00:34:41.360
There's like, yeah, you you see the highlight reels, but what you don't see is I get in there at five o'clock in the morning, I take a thousand shots, right?
00:34:41.519 --> 00:34:47.039
Like it's it's preparation really matters, and there's some dark moments where you probably doubt yourself.
00:34:47.199 --> 00:34:50.159
Do you do you have any that you poignantly poignantly remember?
00:34:50.320 --> 00:34:55.920
So I I I I tell you like in context, I remember one very, very early days.
00:34:56.000 --> 00:35:01.840
So this would have been 2000, the birth of DHD, the first you know, cloud solution for regulators.
00:35:02.079 --> 00:35:16.480
And there was a moment where I remember taking a red eye flight back, and I don't sleep well on red eyes anyway, but I'm looking out the window the whole time because I didn't know where we were gonna go next when I landed after that red eye.
00:35:16.559 --> 00:35:25.840
You know, there's there's just some moments where it's like the stakes are really, really high, and you kind of know you're gonna need to be incredibly lucky and committed to solve your way out of it.
00:35:26.960 --> 00:35:28.719
Yeah, I mean, absolutely.
00:35:28.880 --> 00:35:32.159
I I think there are many of those moments.
00:35:32.239 --> 00:35:42.079
And and the reality is even, you know, when you reach the the next milestone, you're looking down the barrel of of what's coming next, of what you want to be able to accomplish.
00:35:42.239 --> 00:36:11.760
And and you feel the real weight of the people that have that trusted you um against this this challenge and this problem, from investors to people who you know quit their jobs to to join your team, to uh to customers who who are saying, okay, I'm gonna, I'm gonna be be in this with you and and go away from a more established traditional partner to be a part of this like next idea for for this journey and and and to invest in a new technology type of organization.
00:36:11.920 --> 00:36:15.199
And and you feel the weight of that at each stage in the journey.
00:36:15.360 --> 00:36:19.519
There's um there's not a lot of uh of moments for for celebrating.
00:36:19.679 --> 00:36:21.519
You're you're thinking about, okay, what's next?
00:36:21.679 --> 00:36:27.280
You know, how do I how do I take this opportunity that's been entrusted with me into the next level?
00:36:27.360 --> 00:36:33.119
And then I definitely have had those uh staring out the plane window on a red eye moment.
00:36:34.239 --> 00:36:35.920
I'm with you in that in that feeling.
00:36:36.000 --> 00:36:47.280
I can think of quite a few myself, or or you know, very late night, early mornings in the office thinking, like, how are we going to, how are we going to get through this challenge or and how are we going to get this done?
00:36:47.440 --> 00:37:07.119
And I think for me, that's when I really lean on those relationships that I'm so grateful to be in this journey with and you know, lean on my team and lean on our advisors and our mentors and our investors who have been through this journey before, who have seen, who have seen those, those periods and and can help, you know, with guidance.
00:37:07.360 --> 00:37:13.920
Because I mean, I'm I'm grateful I've surrounded myself on my team with people that are way smarter than me in all these different areas.
00:37:14.079 --> 00:37:24.559
And so I I really try to focus on how I can leverage all that talent and all that intellect uh into what comes next in those moments when when I'm I'm not sure.
00:37:25.440 --> 00:37:27.440
It really speaks to me when you talk about the the weight.
00:37:27.599 --> 00:37:35.599
And it is like you've got the and there's multiple constituencies, the people that invested their money and they need a return on it because that's that's their capital.
00:37:36.400 --> 00:37:43.519
But then you have the businesses that are trusting their brand and their money to you, and then the one that really like speaks to me is the people.
00:37:43.920 --> 00:37:44.239
You're right.
00:37:44.400 --> 00:37:52.320
So when a smart person who has options uh chooses to chase the dream with you, that really does sit heavy, right?
00:37:52.400 --> 00:37:55.360
Because like the paycheck has to roll every two weeks.
00:37:55.599 --> 00:37:58.719
And they've put a huge amount of trust, right?
00:37:58.880 --> 00:38:02.079
When they roll in behind a a visionary and a founder.
00:38:02.400 --> 00:38:05.920
I I and I think a lot of times people don't think about that either.
00:38:06.000 --> 00:38:08.639
Uh they just think that it's all glamour for a founder.
00:38:08.719 --> 00:38:12.719
You know, you go speak at conferences and you stay in nice hotels and oh it's so nice.
00:38:12.880 --> 00:38:13.760
Yeah, okay, yeah.
00:38:14.000 --> 00:38:15.360
You think traveling is good for work.
00:38:15.440 --> 00:38:17.360
That's just you haven't traveled for work.
00:38:17.519 --> 00:38:18.000
Uh right.
00:38:18.159 --> 00:38:20.639
But but no, there is a that unique pressure.
00:38:21.119 --> 00:38:24.800
And one of the reasons I can tell you're successful is because you actually feel it.
00:38:25.360 --> 00:38:26.719
Like you're not cavalier about it.
00:38:26.880 --> 00:38:31.760
You actually want to live up to it for all of your uh invested constituencies.
00:38:31.840 --> 00:38:41.920
And and that again, just a good tip for an entrepreneur is if you uh want to delight your customers and your investors, that will not lead you wrong if you obsess about that, will it?
00:38:42.559 --> 00:38:43.199
Yeah, 100%.
00:38:43.519 --> 00:38:47.119
And it really is a it's a constant um obsession.
00:38:47.199 --> 00:38:50.079
It's you know, I always want to be thinking about what comes next.
00:38:50.239 --> 00:38:53.280
I always want to be checking, you know, how's everyone doing?
00:38:53.440 --> 00:39:05.199
I I am constantly looking and reading, you know, every even today, I read every support ticket that comes in to the Passspot ecosystem because I want to know, you know, what are our customers experiencing?
00:39:05.360 --> 00:39:06.239
What does it really look like?
00:39:06.400 --> 00:39:07.199
How does that help us?
00:39:07.280 --> 00:39:15.119
I mean, every time I'm on the road, I'm I'm asking in in every uh hotel or restaurant I go to that has our system, like, hey, can I come into the kitchen?
00:39:15.280 --> 00:39:17.280
Can I, you know, it's my favorite place to be.
00:39:17.360 --> 00:39:18.719
Like, what does this really look like?
00:39:18.880 --> 00:39:19.519
How does it feel?
00:39:19.599 --> 00:39:26.239
You know, those are also the things that keep me close to the challenge and the problem so that I that I know that I'm always innovating in the right direction.
00:39:26.480 --> 00:39:27.519
So what is next?
00:39:27.760 --> 00:39:31.599
Because obviously that device, if that was all you did, it's really cool.
00:39:31.679 --> 00:39:32.719
And it's 10,000.
00:39:32.960 --> 00:39:36.639
It's hard to get real hardware deployed, especially like you said, kitchens and restaurants.
00:39:36.719 --> 00:39:38.079
They have profit margin pressures.
00:39:38.320 --> 00:39:38.960
Never boring.
00:39:39.119 --> 00:39:48.719
It's like that's a hard nut to crack, but it really opens up a whole other layer and world of problems that now you've laid the rails to solve, doesn't it?
00:39:49.039 --> 00:39:50.079
Yeah, absolutely.
00:39:50.320 --> 00:40:00.719
So we started, you know, with hand washing and hygiene, and then we we realized that there was an opportunity to digitize other aspects of the operational environment.
00:40:00.880 --> 00:40:06.960
And so we then subsequently launched a platform around temperature monitoring and control.
00:40:07.280 --> 00:40:18.719
So monitoring, you know, everything from food itself to all the coolers, fridges, freezers, walk-ins to you know, cool down processes and reaching the TCS danger zone and all those things.
00:40:18.880 --> 00:40:30.079
Um, and then we were compelled by our users to embed in a system around expiration monitoring and compliance with all the different, you know, regulations for labels.
00:40:30.159 --> 00:40:32.880
And so we built out a platform and system for that.
00:40:33.119 --> 00:40:43.280
That led us to build out a system for monitoring and encouraging appropriate checklist management, you know, daily cleaning logs and uniform checks and all these pieces.
00:40:43.440 --> 00:40:50.480
And I think what's exciting and what's been powerful about launching these platforms is they all work together and build off each other.
00:40:50.719 --> 00:40:57.280
So while you're washing your hands, it can pop up and remind you that you accidentally left a cooler door open.
00:40:57.440 --> 00:41:03.440
Or while you're doing your labels, it can pop up and say, no one's washed their hands in the last two hours.
00:41:03.679 --> 00:41:10.400
And so our objective is how do you change this from like a spot safety thing that you're supposed to do here or there?
00:41:10.559 --> 00:41:12.559
And how do you keep all that in your brain?
00:41:12.719 --> 00:41:17.599
I mean, I'm in some of these kitchens and the line is wrapped six times outside the gears.
00:41:17.840 --> 00:41:19.039
That's so challenging.
00:41:19.199 --> 00:41:21.280
I couldn't keep up with that for sure.
00:41:21.440 --> 00:41:22.320
And they are.
00:41:22.480 --> 00:41:25.840
And so our objective is how do we get them the right information when they need it?
00:41:25.920 --> 00:41:27.920
And how are these systems speaking to each other?
00:41:28.079 --> 00:41:34.719
So you know in real time, and you're using this as a continuous layer against the training ecosystem.
00:41:34.880 --> 00:41:36.480
So that's where we're at right now.
00:41:36.639 --> 00:41:41.360
But we we do have some exciting uh new products in the works to talk about as well.
00:41:41.599 --> 00:41:42.079
All right, yeah.
00:41:42.159 --> 00:41:44.079
Let's and and by the way, you're so right.
00:41:44.159 --> 00:41:50.480
I I was just telling somebody I was uh uh grabbed some food at a Waffle House recently for the first time in a while, right?
00:41:50.559 --> 00:41:52.719
Your Waffle House is great food.
00:41:53.119 --> 00:41:54.480
Great food, especially at 2 a.m.
00:41:54.639 --> 00:41:56.000
after a party in college, right?
00:41:56.159 --> 00:41:58.559
Like it's it's it fits the spot.
00:41:58.800 --> 00:42:00.239
But I've never been there, Cameron.
00:42:00.320 --> 00:42:01.280
I don't know, I don't know what you're talking about.
00:42:01.519 --> 00:42:02.159
You never know why.
00:42:03.760 --> 00:42:08.800
So why so it's interesting though, because though they yell those orders and they've got people stacked up.
00:42:09.519 --> 00:42:19.920
I would get fired day one if you're trying to and I'm not a stupid person, but like yeah, it's a the environment matters, uh, and it's crazy in those environments.
00:42:20.079 --> 00:42:25.440
Um so what are what are the things you are getting ready to debut a couple of really uh meaningfully big things?
00:42:25.599 --> 00:42:28.719
So what can you talk about here at this stage pre-launch?
00:42:29.440 --> 00:42:50.719
Yeah, so our our perspective is now we have all this data around all these core and critical areas for overall health and safety across the operation, across all the temperature control, the expiration monitoring, the daily operational compliance with cleanliness, and of course, uh my personal favorite hand washing and hygiene.
00:42:50.960 --> 00:43:04.960
And we started thinking about how we can use all that data to inform against other best practices and what can we do with that data to be able to drive additional opportunities and benefits for the brands that we partner with.
00:43:05.119 --> 00:43:32.559
And we kept hearing over and over, you know, this gap that often exists around the auditing process and around whether it's internal audits or third-party audits, how it can often feel performative for the location or theatrical, people spending 15 hours the day before their audit prepping for it, or, you know, the day someone comes in with a clipboard, you know, magically these things, these things are all in place and they're not really being as many learnings from it.
00:43:32.800 --> 00:43:46.000
We are also hearing from brands that if you were using all of the PASPOT ecosystem appropriately and correctly, it was driving much higher initial pass rates on the audits.
00:43:46.079 --> 00:43:50.639
Like even, you know, some telling us we never fail an audit if we're doing all of our pass bot pieces correctly.
00:43:50.719 --> 00:43:59.760
And so we felt like there was this connection alongside this opportunity as AI has become something that you can embed into your products so quickly and effectively.
00:44:00.719 --> 00:44:06.880
To be able to build an option for third-party audits that's more technology driven.
00:44:07.360 --> 00:44:11.840
And so the way that we've done that is used the Passbot ecosystem as a base.
00:44:12.000 --> 00:44:35.280
So we're automatically completing a core portion of the third-party audit with the temperature data and the expiration data and the hygiene data, and then layering in video-based AI-driven audits that allow you to scan and walk around your physical environment and automatically coach and train against those pieces of an audit infrastructure.
00:44:35.360 --> 00:44:50.079
And then use again that data to inform best practices and actually really inform how we can improve that compliance across the board and use that to augment or leverage against those audits that are so critical for day-to-day operations.
00:44:50.559 --> 00:45:04.320
That that is a huge thing to solve because I know that I think that at least from what they've told me, and I won't attribute sources and out people, but uh a lot of the chains are not happy with the money they spend on third-party audits.
00:45:04.559 --> 00:45:14.480
And on because of the performative element, they're not, I don't even think they feel like they're getting their money's worth uh for all of that from a food safety culture, which gets thrown around as a buzzword.
00:45:14.559 --> 00:45:20.239
But what you're describing is a platform that actually makes a food safety culture not a buzzword, but real.
00:45:20.719 --> 00:45:20.960
Right.
00:45:21.119 --> 00:45:23.119
We want this to be a daily partner.
00:45:23.360 --> 00:45:26.320
And I think that's what an audit platform should be, right?
00:45:26.400 --> 00:45:31.039
Something that that is daily a partner against your operations for your core areas.
00:45:31.119 --> 00:45:44.639
And by using the base data from the sensor collection to inform when should there be audits, where should there be audits to actually make this responsive instead of, you know, well, we we we have to do them quarterly because they're done quarterly.
00:45:44.800 --> 00:45:52.880
You know, maybe they should be uh customized, more frequent in some locations, less frequent in some locations based on real and continuous data.
00:45:52.960 --> 00:46:04.400
And what we see across the board is our day-to-day users of the product, the partners in the stores that are actually using the products, they want to know the why behind everything they're doing.
00:46:04.480 --> 00:46:14.079
You know, they want to do the right thing and they're driven by our real-time data analytics to perform better because they understand what the risk is or why they're doing these different tasks.
00:46:14.239 --> 00:46:16.320
And I think audits should be no different.
00:46:16.400 --> 00:46:25.280
And so being able to leverage a technology-backed tool to really create leverage through those audits in real time.
00:46:25.440 --> 00:46:36.480
And of course, you know, you also hit the nail on the head to also reduce costs and create a more continuous infrastructure against this that's in that's informing this and and really up-leveling the operation.
00:46:36.639 --> 00:46:40.800
Those two things are the core goal that that's led us to to launch this system.
00:46:41.519 --> 00:46:43.199
Really, really, it's really smart.
00:46:43.360 --> 00:46:53.360
And now you're gonna have an ecosystem that I think you're getting more adjacent to where I've spent a lot of my uh life in with on the regulatory side.
00:46:54.000 --> 00:46:59.519
There are elements, obviously, the chains need to keep their actual measurements and things private.
00:46:59.599 --> 00:47:00.000
I know why.
00:47:00.159 --> 00:47:02.559
If I was running a restaurant, I would never want to share that.
00:47:02.639 --> 00:47:11.280
But I from a summary perspective, what you're doing and your controls are regulatory is going to be very interested in that.
00:47:11.519 --> 00:47:26.079
And I think what uh establishments will find is that if they are able to uh show an agency their seriousness and what they've got in place, I think they'll find that their regulatory inspection process gets a lot easier too.
00:47:26.559 --> 00:47:29.920
And you can even start integrating data from the regulatory.
00:47:30.000 --> 00:47:41.599
Like there's just like it opens up a whole new world that now suddenly they won't be as scared when the health inspector shows up or or panicky, like, oh, shove all that in the broom closet because you know the inspector's in the lobby.
00:47:42.000 --> 00:47:49.360
That happens, but this actually kind of creates a different path that you don't really need to have all of that anxiety for.
00:47:50.000 --> 00:47:57.039
You know, my favorite thing is when our partners tell me I feel more confident in my job because of the system.
00:47:57.360 --> 00:48:00.400
Again, I think everyone wants to do the right thing.
00:48:00.559 --> 00:48:15.360
And and by giving them real data, and I think there's a ton of opportunities for partnership across the industry in in different ways from a regulatory standpoint, from traditional audit standpoints to leverage these pieces.
00:48:15.440 --> 00:48:26.800
And I think, you know, something we talked about, right, in the AI data workshop at AFTO this year is a lot of these things we've done the same way for the last 40, 50, 60 years.
00:48:26.960 --> 00:48:31.039
Well, we do our inspection this way, our audit this way, because we've always done it that way.
00:48:31.280 --> 00:48:49.199
And I think with the amount of technology that now exists, it begs the question you know, how do we leverage all those things we've learned, all those processes that we've done for the last 80 years and then layer in technology to be able to do them even better, even more continuously, um, with even more support.
00:48:49.440 --> 00:49:02.719
And I think it's it's a time and a really important time in the industry to be able to build against those things and create, you know, the next layer, the next level of expectation and the next way to create a healthier and safer world.
00:49:03.039 --> 00:49:13.440
Yeah, and I tell you, like, and not telling you anything you don't know, but for anybody probably at 30% that's from industry that that uh watches as best as numbers can tell us.
00:49:13.599 --> 00:49:17.519
I I would tell them like the other thing is your temperature monitoring, for example.
00:49:18.320 --> 00:49:33.039
That you only need to have one instance of uh of a cooler or a walk-in going down when you were closed, and the inspector shows up the next day, and if you've got temp monitoring, I don't I don't think I'm overselling it here.
00:49:33.280 --> 00:49:37.119
The big question when you've got an inspector there is how long do we think it's been out?
00:49:37.440 --> 00:49:42.159
Because they're trying to decide are we gonna make you throw away$10,000 worth of food?
00:49:42.880 --> 00:49:43.920
Oh, it happens all the time.
00:49:44.079 --> 00:49:44.400
All the time.
00:49:44.639 --> 00:49:53.280
People walking into a cooler of melted ice cream, people walking in to a to a freezer filled with you know meat and caviar and champagne.
00:49:53.360 --> 00:49:58.400
I've heard it all, you know, things that went out of temperature and and aren't appropriately stored and it's gone.
00:49:58.639 --> 00:49:59.920
And how could they be, right?
00:50:00.079 --> 00:50:05.760
And so giving, again, real-time data, real-time consistency against this, driving it where it needs to be.
00:50:05.920 --> 00:50:10.880
And I mean, I'm sure this has never happened with any of our partners or anyone listening to this podcast.
00:50:11.039 --> 00:50:18.639
But the thing you hear of people taking at the end of the month their different colored Sharpies and saying, quick, we gotta fill out all the logs.
00:50:18.800 --> 00:50:19.920
You know, that's not right.
00:50:20.239 --> 00:50:24.159
But I think that goes back to is that driving the culture we want to create?
00:50:24.400 --> 00:50:25.199
Of course not.
00:50:25.280 --> 00:50:29.599
And and nobody in that scenario is doing it because they don't want to do the right thing.
00:50:29.760 --> 00:50:33.519
So, how do we take these pieces off of the team's plates?
00:50:33.679 --> 00:50:37.360
I mean, I have now been so fortunate to be in this industry the last 10 years.
00:50:37.440 --> 00:50:43.519
And I have, as I mentioned, spent a lot of time in kitchens uh and met so many passionate people.
00:50:43.760 --> 00:50:54.159
And in all my time in this industry, I have yet to meet one person working in a restaurant who said, Yeah, I got into this business because I love filling out my safety logs.
00:50:54.400 --> 00:50:55.440
Like, no, right?
00:50:55.679 --> 00:51:08.639
So why are we leveraging their talent and their passion and their energy and their desire to interact with guests and their desire to, you know, be on the be on the front lines and create good food with filling out safety logs?
00:51:08.719 --> 00:51:15.920
Like, how do we leverage technology to take those pieces and do them well and do them right and then allow our team members to do the things that they do best?
00:51:16.320 --> 00:51:18.639
You see in the cult classic movie office space.
00:51:19.039 --> 00:51:21.760
Yeah, it's the equivalent of the TPS report.
00:51:22.880 --> 00:51:23.519
Exactly.
00:51:23.760 --> 00:51:24.639
And yeah, it is.
00:51:24.719 --> 00:51:26.880
People don't get into most jobs to do the paperwork.
00:51:27.039 --> 00:51:30.480
They get they get into it for other much deeper, more passionate reasons.
00:51:30.719 --> 00:51:40.159
But like if if an inspector shows up at 9 30 and the cooler's out of temp, if an operator can say, Well, here's our log, it dropped below temp at 8 a.m.
00:51:40.400 --> 00:51:46.000
so we don't have to throw the food away, you've probably just paid for a good portion of the Passpot ecosystem for that year, right?
00:51:46.159 --> 00:51:49.920
Because you just saved yourself from tens of thousands of dollars being put in a dumpster.
00:51:50.159 --> 00:51:50.400
Right.
00:51:50.639 --> 00:51:51.119
Absolutely.
00:51:51.280 --> 00:52:01.599
The the ROI around you know, waste and energy and sustainability is all there in addition to these abilities to optimize labor uh against these core goals.
00:52:02.239 --> 00:52:19.119
So what how can a regulator, so there's a lot of those watching, um for those that are just uh getting more acquainted for the first time with all that you do and are wishing every restaurant they inspected had this, uh I like literally that would be what most people would think that everyone should have it.
00:52:19.280 --> 00:52:20.079
How can they help you?
00:52:20.239 --> 00:52:28.000
How can they help because they're in those doors as the regulator every day, not always uh people aren't always happy to see them, but they're there.
00:52:28.159 --> 00:52:33.360
Um, how can they help you and and and building awareness and and helping operators?
00:52:33.519 --> 00:52:39.360
Because while agencies won't officially, you know, endorse a company they can't say go do business with, let's be real.
00:52:39.519 --> 00:52:46.559
If you have a roach infestation, the inspector is going to tell you probably who you should call to get that taken care of.
00:52:46.719 --> 00:52:53.119
Um so how would you, if a regulator is like, how can we help uh put this more into the world, how would you answer that for them?
00:52:53.440 --> 00:52:54.239
Yeah, absolutely.
00:52:54.400 --> 00:53:24.239
I mean, some of the regulator partners and friends that that we've built through the years are definitely some of the most effective ways for us to share the benefits of this technology, especially when they see a risk or opportunity area around personal hygiene or temperature control or different areas, and to be able to share because there's so many uh restaurant locations that that you know don't know that these types of tools and technologies exist and are enthusiastic and so excited to be able to solve these challenges and and problems.
00:53:24.400 --> 00:53:29.199
So absolutely, you know, being able to share, hey, there's something out here that can help you with this.
00:53:29.280 --> 00:53:34.079
Um, and we have many of those partners that that review the past bot data as a part of their inspection.
00:53:34.159 --> 00:53:41.440
Um, so instead of the stressful moments of like, oh, we've got to, you know, do all these different things and where's that piece of paper?
00:53:41.599 --> 00:53:55.199
They're pulling up our dashboard as a part of the inspection and saying, okay, great, I can see all your hand washes, I can see all your temps, I can pull up any day, any range, see what, see what corrective action you employed, all that's logged, all that's stored, all that's there.
00:53:55.360 --> 00:54:03.920
Um and so it creates a much more seamless process that that can reduce some of the stress on both parties in that that 9 30 a.m.
00:54:04.000 --> 00:54:06.000
moment where they're outside at the door.
00:54:07.280 --> 00:54:08.079
It's really funny.
00:54:08.159 --> 00:54:16.079
When I was there in Columbus for AFTO, I um having dinner with someone from the conference, and we just went to a sushi place.
00:54:16.159 --> 00:54:21.440
And literally the City of Columbus health inspector walked in uh while we were ordering our food.
00:54:21.599 --> 00:54:24.320
And again, the place, the vibe changed.
00:54:24.559 --> 00:54:33.679
Uh the the the very uh very friendly operator, owner, or manager, whoever he was, got really dour and quiet.
00:54:33.840 --> 00:54:38.239
Like it was like I'm like, what do you what are you guys hoping they don't find back there?
00:54:38.400 --> 00:54:40.960
Because everybody looked like somebody died.
00:54:41.280 --> 00:54:52.880
Um so uh we'll put we can put links and you can send us to anything that you think would help, especially regulators, with in the descriptions on all the channels or platforms for this episode, and we'll put that in there.
00:54:53.119 --> 00:55:02.559
Is there anything from a PASPOP perspective that we haven't talked about or that you you're excited about that that hasn't come up yet from the PASPOP perspective?
00:55:02.960 --> 00:55:05.679
There's many, many things I'm excited about.
00:55:06.239 --> 00:55:09.440
I will be here for another another several hours.
00:55:09.519 --> 00:55:16.719
Uh, but I think across the board for me, we're really energized to continue solving these opportunities and challenges and problems.
00:55:16.880 --> 00:55:56.000
And as you mentioned, you know, there's so many layers to the ways technology can uplevel existing policies and existing processes and how we can embed that into these different core areas and tackling this challenge of upleveling the audit infrastructure and turning that into a continuous daily experience that that changes maybe the core infrastructure of it, but doesn't change the core goals of what we want to accomplish in an audit and and instead just makes it something that can be even easier to accomplish and leverage all the data that the platform is already pulling and build on that is something I'm very energized by.
00:55:56.159 --> 00:56:03.280
So I would just, you know, echo that we welcome conversations with partners across all aspects of the industry.
00:56:03.440 --> 00:56:14.000
Um, myself and my team would love to engage if anyone's interested in this or or wants to share their own perspectives and ideas on how we can continue to leverage the tools and technologies that we've built.
00:56:14.159 --> 00:56:24.000
Um, honestly, everything that we've been able to create to date has come through direct feedback, dialogues, conversations, partners who who are willing to jump into these challenges with us.
00:56:24.079 --> 00:56:36.320
So I just am so grateful for the chance to be on this incredible podcast, to share a little bit of our story and what's coming next, and really welcome that we continue that dialogue beyond today to anyone who who'd like to speak about any of these areas.
00:56:36.639 --> 00:56:48.719
Definitely when you get your the um the full checklist and the replacement for the performative aspects of auditing in place, come back and we can you know demonstrate some key features.
00:56:50.079 --> 00:56:58.880
And I think a lot of the regulators will will just be stunned, and there's some things where I think that data linking to yeah, there's people are gonna be really excited about this.
00:56:59.039 --> 00:57:10.639
So I'm gonna guess you don't have much spare time, but like because you're head down in this and you have you started that organization 15 years ago, like you have a lot of all work-adjacent things.
00:57:10.800 --> 00:57:19.679
But do you have any any passions, anything you do when you have any rare downtime, any kind of hobbies, or are you it's all in on this until mission accomplished?
00:57:20.000 --> 00:57:26.480
I mean, you know I'm all in on this, but there's so many ways to take the passion that I have for this into other areas.
00:57:26.639 --> 00:57:45.840
You know, I love getting to travel and the opportunity to travel to meet our partners and clients all over the world and and to get to see and experience um their interaction with food and to get to eat and stay and and and uh and live in some of these different areas has has definitely been so inspiring for me.
00:57:45.920 --> 00:57:46.960
So I love to travel.
00:57:47.039 --> 00:57:55.920
I love to try all different types of food, all different types of cuisine, especially anyone who's adopting and thinking about their food safety policies and practices.
00:57:56.079 --> 00:58:00.400
My favorite conversations to have in a kitchen over a meal.
00:58:00.639 --> 00:58:18.239
Um, and you know, I love getting to explore and be on this journey with with other entrepreneurs of all different stages and to support their visions and and ideas, um, and to be able to have those dialogues on, you know, walks throughout New York City where we're we're dreaming about what comes next.
00:58:18.400 --> 00:58:23.119
So it's it's definitely all embedded into this core goal that we we keep pushing forward.
00:58:23.360 --> 00:58:28.400
Yeah, and you people, you guys are gonna hear a lot more from her uh in in the next couple of years.
00:58:28.480 --> 00:58:32.719
Because I think AI now where it's at, like the pieces are just all lining up, right?
00:58:32.880 --> 00:58:33.360
Like data.
00:58:34.559 --> 00:58:42.400
Yeah, it's now data can be free, regulatory data, private data, and you got AI that can like take the the boring parts out of it.
00:58:42.559 --> 00:58:48.400
Like this is you know, there's nothing more frustrating than being having a great idea and being 10 years too early.
00:58:48.559 --> 00:58:56.559
I I think you actually like you timed it perfectly with the AI because now this stuff is and it's gonna be affordable too, right?
00:58:56.639 --> 00:59:01.039
Like these are systems that 15 years ago would have just been price prohibitive for an S.
00:59:01.599 --> 00:59:04.320
Systems that that three years ago would have been price prohibitive.
00:59:04.559 --> 00:59:07.760
I think the the technology industry is moving so fast.
00:59:07.920 --> 00:59:17.119
And one of the things I loved that we kept talking about at AFTO is how are we as a food safety community and and ecosystem building against that, building with that.
00:59:17.199 --> 00:59:22.159
Um, and and that was so energizing for me to hear everyone reinforcing those ideas.
00:59:22.239 --> 00:59:25.920
I think the time is definitely now, and I'm so excited to be a part of it.
00:59:26.159 --> 00:59:28.159
It's it's gonna be a great ride.
00:59:28.320 --> 00:59:31.519
So, yeah, definitely when you watch that, come back, show it to folks.
00:59:31.679 --> 00:59:38.159
And um that I think the regulatory can help be a force multiplier uh the more they're aware of it.
00:59:38.320 --> 00:59:40.960
Um, because this is gonna be some exciting time.
00:59:41.119 --> 00:59:48.880
So thanks for making uh an hour plus to sit with us today, but we'll definitely have you back because uh we like you said, we could have gone for hours.
00:59:49.280 --> 00:59:50.880
I already, I already can't wait.
00:59:51.039 --> 00:59:54.800
Count me officially in, and you know, we're all on this journey together.
00:59:54.960 --> 00:59:58.079
So dialogues like this make a huge impact on me.
00:59:58.239 --> 01:00:00.079
Thank you for having me today.
01:00:00.320 --> 01:00:02.719
Oh, it's my pleasure, and we'll talk to you again soon.
01:00:02.880 --> 01:00:03.840
That was fun, y'all.
01:00:03.920 --> 01:00:07.920
I I I hope no you've enjoyed it as much as I did having the conversation.
01:00:08.079 --> 01:00:12.960
Uh Christine Schindler, the co-founder and CEO of Pathspot.
01:00:13.039 --> 01:00:18.320
And uh do go check out the links we'll put in the have in the description here because they're it'll blow your mind.
01:00:18.400 --> 01:00:21.440
Like some of this stuff is like almost futuristic and very, very cool.
01:00:21.679 --> 01:00:28.000
Appreciate her coming on for all of us here at the Beyond Data Management Podcast, powered as it is every Tuesday by HS GovTech.
01:00:28.079 --> 01:00:30.639
I'm Cameron Garrison, and we'll check you back here next Tuesday.