If you're a operator, you can operate around new truths. Sometimes that's the consumer Behavior Sometimes that's a political organization, but the reality is you do have a lot of control including things like you know there's a global audience like you can leave where you live if you're in Sweden right now and you're like man, if you, it's harder to build a huge company in. Sweden in Tech I'm like move to San Francisco could and so I I Really do love the happiness that comes along with accountability vaynernation. How are you very excited about this podcast? Uh I Always like when I'm starting new pillars, new genres, new Concepts This concept of interesting emerging entrepreneurial stories is something I've been bouncing around and I met this young gentleman.

uh in Utah right? Absolutely yeah Salt Lake um and uh, we we apt we got some stuff brewing and it and it really just kind of sat with me for a while because I think that was in February um about like oh I I should have him on the podcast. he'd be a great kickoff for this thing that I want to do so first because I know a lot of you have uh, really cool, interesting backstories and have emerging entrepreneurial. Ventures I'm excited to have many of you in the future years in this hot seat to tell your story. um obviously on this podcast.

a lot of times we get to see the finished product. You know we get a lot of cool people writing their book of their whole career or you know, or at the top of their game. but I really want to start putting out content because I think it's going to really matter to my audience this audience about individuals that I see have the potential to be the type of people that in 20 years have books about their life story or their career. but we catch them in the beginning of it or in the middle of it or the early middle of it and so that's what today represents.

I'm excited about this conversation and I'd love to get feedback from all of you on Twitter or email or DM me on what you think about this genre. So kicking off our first episode in this concept of interesting, emerging entrepreneurial stories, my friend, why don't you tell everybody your name, what you do and we'll go into it and thank you for being the kickoff first guest to this concert. Sure Thanks! Gary Thanks for the opportunity to talk about my story. My name is Anthony to Sony you can call me a t I'm the co-founder and CEO of Trulio.

We do police body camera analytics yes and my back ground is South Side. Chicago Big family brothers or veterans became FBI agent I didn't I went to college and I did Quantum and one number number three The Negotiator yes and number first Who did that? Uh so my oldest brother and my youngest brother are veterans got it and I went to college and did Quant Finance yes Ended up on Wall Street Yes. building trading strategies and looking for signal and unstructured data. They signed on the dotted line and served the country and uh, now are in FBI and um and so I'm super proud of them yes from a proud military police family and when I spent a lot of time dealing with unstructured data looking for Signal built my first company before you go there.

Yeah, why did you gravitate towards math as a kid? Was it Wall Street Strategies was the Wall Street thing a money thing for you as a kid? Um, like you were like I like games I like math I like stats Oh and now that I've become way of this Wall Street thing I can take those skills and it can also be a financial thing. Sure I like to win in games and uh, trading is a big game. It's like a video game and so um, yeah, like probability and stats I thought I needed math I learned a lot of math doing Quant Finance you Then you grow up and you learn that the world is not linear or deterministic. A plus B equals C but not in the real world.

Uh and and so I learned through building trading strategies that game theory is actually more important to making money than formulas. The gray of psychology Yeah, understanding herd mentality. Yeah, how people think and um and having a Trader's mind says definitely helped me as an entrepreneur. Helped me understand how to manage risk, how to think about losing trades, Whether it's like a bad hire or a decision I made that isn't working really allows you to separate yourself from ego.

How old are you right now? 41. So at 41, how would you say you balance the gray and the black and white that you've just now talked about in the first couple seconds like if I asked you and obviously every scenario is going to be different but just gut feel in your stomach right now when you are making decisions because I think this is going to be very powerful for a lot of people who are listening. Making decisions is like such a big part of it all you know. and I think some people, a lot of people really gravitate towards one side or the other.

It's all. it's all black and white lender. or it's all like gut feel. What? What do you think your current mix is in your current state? It became more gut as I've gotten older.

Yeah, how do I feel about this person sitting across from me? Yeah, I I Really think the key to making good decisions is your Clarity of thought? It has to be grounded in reality. meaning you have to ask a lot of good questions to understand what actually is reality. and I learned over time that My Success was highly correlated to the Quality questions I Ask in a meeting. Do you think that a lot of people are grounded in ideology? Yes, I think a lot of people's egos in the way they don't.

You know they're thinking about their business. They're not being realistic that it's suffering in some way, that there's some damage that it's not doing as well that it could fail and they've convinced themselves of a different reality often, not being accountable and liking somebody else. Yeah, my favorite thing is when Entre I Talk to so many. This is a big one for everybody who's listening.

When you come and tell me your business is failing because of these two people that work for you, you do understand that you were the one who hired them and you were the one that is deciding to let them still be there. Yeah, yeah, it's a you're 100 responsible for your business period. 100 percent. One of my favorite things is into entrepreneurs over the last 15 years is their passion for who the President is, as if that's a proxy to how successful they are as an entrepreneur.

I'm aware that taxes could change under different presidencies. I'm aware that policies can, and you know I'm aware that there's rules that can be made, but the reality is still at the end of the day. If you're a operator, you can operate around new truths. Sometimes that's the consumer.

Behavior Sometimes that's a political organization, but the reality is you do have a lot of control, including things like you know there's a global audience like you can leave where you live if you're in Sweden right now and you're like man, it's just harder to build a huge company in. Sweden In Tech I'm like move to San Francisco could and so I I Really do love the happiness that comes along with accountability. My my gut instinct I think became more honed as I got older as I had to hire people I Think during the hiring processes it's not as black and white. it's very difficult, difficult to quantify or structure an interview and we need to spend time with people.

Yeah, yeah, but but there are things you should be looking for. There are certain questions you should be asking or even more interesting to me has always been. And then there's you've hired them and then the process actually begins right? The data gets very clear when you're actually with someone you know hiring even to your point, even if you have a good process, there's still going to be so much of an intuitive guess yeah, you're not going to bet a thousand not even close working with someone. The data becomes dramatically more clear.

So what you do about it once you realize you've made a poor hire or a great hire Yeah really becomes the variable of growth you need to eliminate poor hires. especially a a small startup like Trulio I owe it to my team, my investors, my customers, and that person. If they're not the right person to be at the company, it's not right for them or their family or their growth. And so it's better just have that obvious conversation.

Let's back back all the way back up where I distracted us and took us off the course. So okay, so you're trading, then what happens? Um, yeah. so I'm building trading strategies. you know, systematic approach to trading.

all model building. everything is, um, you know nothing's discretionary. I build systems and so I work on Wall Street and I learned to do something called natural language processing which is essentially transcribing and analyzing calls. I was very interested in in structuring all the different conversations I had at one point I had 180 counterparties that I would talk to and I wanted to make our conversation searchable so that if somebody called me and asked for Coca-Cola I could search who who else asked me for this product in the past and so I was very interested in structuring unstructured data, email chat messages.

Most a lot of trading is still done over insta message believe it or not. and so um, I learned about natural language processing and I ended up forming a company simply because I was pissed off that trading you're worth 1X multiple Revenue there's no, there's no multiple on your Revenue trading forces you to be a very Perpetual learning learner because strategies Decay so fast after nine months a strategy is irrelevant and that's because everyone catches up to the strategy because trading today is like Star Wars I mean people use AI Yeah, inefficiencies are spotted quickly and so extracted quickly. Yes, Yes, so you need to be. Uh, you need to evolve and adapt very quickly.

Uh, and and it's a lot of work and you're still going to be worth 1X multiple. There's there's no SAS No One's Gonna acquire you for your trading multiple or trading revenue is what occurred last year and so right around 30, I started my first Company Green Key And we transcribed and analyze Banker phone calls and we gave the bank client insights. You know what? What are their customers calling for? What are they upset about? How do you hire better sales people? product? Whatever it is? Yep, yeah, how do you create better objection handling? We were structuring the unstructured data yep and give us a little bit more of how that went. Sure.

So, um. I I've made a lot of mistakes in my life of course. Uh, one big mistake. So is every single person listening.

The number one problem that a Founder entrepreneur needs to solve is what is the problem you want to solve. That's it. Like that everything starts with the problem you're choosing to solve because everyone you're going to have to work hard. But the how you direct that hard work is very important.

the problem we try to solve. Looking back on it, we were solving a problem for banks that we thought would move this data to the cloud. They didn't. We made a lot of assumptions that were bad.

Another big assumption we made was that did you make assumptions out of what you knew would be better but didn't understand that the customer wasn't ready? Yes, But also you know I wanna I apologize I jumped in, noticed everyone even just rewind this and start where you know two minutes ago and just keep listening. The reason I was able to jump into that is talk about pattern recognition. No different than people living on ideology versus reality when I tell you the single thing that I see over and over a very capable talent in startup land is knowing what is better, but getting there too fast for the market because the market has other rationales where the best technology or the best thing isn't the actual North Star There's some sort of other rationale Legacy Software contracts. Political relationships in the business sense of political relationships, so keep an eye out for that.

You might be right, but you might be so early or you might have been naive to how people make decisions. That's exactly right. Timing is everything. the customer might not be ready for you to solve their problem in the way you want to solve it.

correct. And so um, one of another issue with that business was that we would do a great job for JP Morgan And guess what? they would pay for us and say don't tell anybody about how this works so there was no viral coefficient, we couldn't build on that success. They didn't want Goldman Sachs to know what we just did right And so that's very different than for example in policing where I do a great job for one department and they tell 50. But if you do a bad job, they tell 100 right and so.

but I like that business I Like a business where I can compete on quality of service product? Yeah, absolutely. let's actually segue to that. So that one that business had a story just quickly. how did that wrap up sale? Old What? Eight years it was acquired in 2021? Okay, and you were happy with that.

Yes, good. And so then you have you sell a business that you were happy about. So that's good. So that means what was you said? 2021 Yes.

So very recently a year and a half ago. Yeah, so you're 39 40 Whenever this you know goes down, what's running through your mind? Post that exit and how does that play into what you're doing now? Um, the the problem of police trust being low I thought about it, was obsessed about it I I Like thinking about problems that Society has that it doesn't yet know how to get the solution to right and so trust in the police is low for a lot of different reasons. and I thought actually I'm in a very unique position to maybe solve that problem. So I began to research it I went around to the camera providers right? the people that manufacture body cameras and I said hey guys, NLP is uh, eight years old at this point transcription's 30 years old.

Why aren't you guys analyzing body camera video I Wanted to figure out why no one else was doing it. You're asking the questions Yeah, doing a lot of research. Went around and met with various Chiefs went to the FBI National Academy which is the top gun of policing. met with the top one percent of police.

Hey guys, this is what I think the problem is I think this is how I can solve it. What do you guys think just doing a lot of q A You already have a lot of nuances and hypotheses because you got your brothers around you and so it's You know between research and then kind of like listening to the stories and I'm sure whatever that was, you're on a hunch and then you're confirming hunches with more questions and you're going through this process. How long does that go? Um, that? That goes for about six months and what happens at the end of that six months? What's the Eureka or the IC signal I Get access to data Yeah! I look at unstructured data I quantify Cops language and I see in the data cops that give more explanation have better outcomes before we go down this which I think is super fascinating I Want you to go back to the the natural language stuff as a whole because it's at the foundation of where you're about to go and we have so many different people listening. There's going to be like the people that are generally just interested like I am which is probably why you're here of like hey this is really cool to like solve some of life's biggest dilemmas through technologies that are merging with AI and everything else coming.

There's like a whole new world order of the next one like I Can't wait to watch from heaven like the next hundred years we're gonna do a lot of cool. But then there's also like the nerdiness of this. There's a lot of people that could find their calling because of this break down the natural language. so for just a quick second we'll go back to where we are on the police stuff.

But I think you know watching videos transcribing the words and then structuring that to like actually get into an ahas or six is really cool. Yeah, I Understand. So um, so most of the electronic communication between computers is done over protocols or it had been right. So you write to an API there's a protocol.

There's a format for these two strings to be passed back and forth. They have to be in a certain order, and that's how the world worked. primarily. But that's not how humans communicate.

We we communicate in an unstructured way through language and video and and chat and some message and all this and so language. Yeah. so NLP Natural language processing. It's A.

It's a subfield of AI. It's like the intersection of linguistics where basically it structures language so that a machine can understand not just the the word spoken, but the sentiment and the meaning behind it. So NLP is being used to, for example, summarize a document. It can be used to label documents where okay, these words are empathy.

This is questioning. This is, uh, you know different types of labels That created like in Trulio, we create labels around an arrest, use of force, non-compliance and so categorizing. you categorize the insights, which is how humans are actually conveying. We're conveying these large insights back and forth.

So NLP is just a way to structure unstructured data so machines can process it. It's like an interface. Humans and machines. Um, with ML and LP Like all of this stuff is like for a long time.

I'm like man, this is a because for me all my magic was in the gray and an intuition and so like when this all started hitting my radar. four seven eight years ago I'm like wait a minute. Yeah, I'm glad I'm gonna retire because my magic can actually become commoditized over time. which is profound.

Yes, it's profound. like everything that has worked for me. Yeah, so it's like actually going to be mapped. Yeah, that's exactly right.

It's structured in in like an Excel spreadsheet. NLP makes data come alive and be able to be structured so it can be analyzed and compared. So you go through this journey. Yeah, you start analyzing the videos.

Yeah, and you're like I got stuff. Yeah, yeah, yeah. Traders mindset sifting through a bunch of unstructured data thinking about should I start this company? Well I need to know that there's signal I need to know for sure because there's a lot of noise. I'll give you some examples you could I had to break down signal and noise because I'm sure of it.

but I feel like people can get a lot of value if you're breaking down? Sure. so you know. signal or Alpha is like looking at data sets and and finding causation. and it's like an example would be in the data sets we mine.

You could say well you know I don't want Cops to say swear words. Well I got news for you. It was super. They're super effective cops that say swear words.

We can look at their data and I'll find a civilian gratitude. Uh, they've got good outcomes even though that they use some profanity and so that we realize, well, actually, it's directed profanity. It's the fu to somebody that they don't like of course. And humans, civilians don't like insults.

Watch this everyone. Dustin Let's go kill it together. Yeah versus Dustin You? exactly? Yep, thank you Yeah. So we had to sift through noise and look for what is the actual signal.

What? What is it that creates good outcomes for cops and civilians? Here's another example. The number one complaint from a civilian four cop is: he was rude. He or she was rude to me. What that means in the data is that the officer gives commands and doesn't negotiate.

There's no listening. There's no what about this? We don't monitor tone I Want to tell you why you can do it? Tone: Cadence Volume clipping, frequency. All this stuff. There's not enough signal there.

Got it? Because there's loud Cops that are respectful and effective. And so I Don't think the science. What about their intent? Boy, if you know I'm sorry. uh.

podcast I'm apologizing right now. I'm getting very selfish. It's insane to me how much the currency of my bro, like my being, believes that intent is like this. Prof like it's unbelief.

I Basically make every decision based on my interpretation of the intent. Is that something that can factor in or is that just too hard? I Had this point, we can't do it I don't know if anybody can do it we can't and my job as CEOs Make sure we only work on the things that we're going to do really well and we can't do that well. We can't do image analysis well so we don't work on those things. Yeah, it's funny as Vayner media as the agency we're sitting in right now I Think one of the re people somebody asked me the other night he's like man, you guys literally built one of the biggest agencies of all time in such a short period of time.

like how and I'm like, you know there's a lot of answers, but it was funny. It was similar to what you just said I was like, you know self-awareness I was really, really clear in my brain of what we could do exceptionally well compared to everyone else and what would be a commodity or as good as everyone else or below it everyone else. So I really love hearing that. It's a real big insight for all the founders listening.

Understanding that not doing things you think you have to do because everyone else is doing it, focusing on strengths versus trying to like half-ass weaknesses. You need to protect your company. With the word no customers are going to ask you a lot of to do a lot of crazy stuff and bolt on different solutions. You need to say no to that stuff and say stay true to yourself Yeah, because then your product becomes Frankenstein then your Professional Services yeah I think those record multiples so you're going through and and you're you're seeing it I mean this is that.

must feel like a um, what's that brother Yeah. Elated. Yeah, yeah, not only elated. pretty emotional because you know, look I'm trying to do great advertising Communications and that's important.

And obviously when I do it for non-profits versus for-profit like there's a different feeling but like you're not around here like this is a big one like God forbid which I mean God willing I use it as slang. you map this one. you get this at scale like you're gonna do a lot of good for the world. Talk about getting this right.

That just helps a lot. Yeah, yeah, we're super excited about our mission. Um, you know, the the vast majority of police do a pretty good job. There's some percentage that shouldn't be cops, but this gives them a map, a protocol, a structure of, uh, an algorithm to follow.

It's very simple to follow. We give them the rules of this video game. They play the game. They structure their strategic language around it and they're gonna have better outcomes.

How many cops in America were around the world today? Wear a body well in the U.S There's about a million cops and about 650 000, 700 000 of them wear cameras. Really high number. Yeah, it's not. It's not 100.

Yeah, they still don't have cameras. in rural counties and things. Every major city has cameras. and how many like can? There's probably not a huge.

There's very few humans on Earth that are more optimistic about humans than I am. It is what keeps me so happy. I Believe in team Human so much, it's crazy. I'm also aware that the small percentage of humans that don't hold up to a level of humanity that we all aspire to or eating up the oxygen of the conversation, thus rendering a lot of people feeling unhappy because I think the noise around the one or two percent that aren't doing it well clouds us to understanding that 98 of people are good people doing the thing.

And so and that comes in every form: Parenting, politics, teachers, police, on, on and on, relationships. So your point earlier, like most cops are doing it really right. some people shouldn't be. and then there's probably some sort of thing in the Middle with a little tweaking and training, could get to the side that you wanted to.

And so I mean I Assume this is a massive tool for whom the chief yes, a chief would use it to sort of mitigate risk, right? They want to go to sleep at night, but the tools designed for the Sergeant the Sergeant's responsible for eight or nine people called their squad and it gives the sergeant the ability to do some coaching to identify moments of non-compliance or any unprofessional language to intervene and say, hey, cut that out Uh, and and during non-compliance hey I Notice you interrupt this person I Noticed that you gave a lot of commands. They asked questions. You didn't give explanation. So it's really a tool designed to help the sergeant.

How much is bad behavior that isn't on? Like what is ideal, predicated on fear most of it. Yeah, so these young cops that give a lot of commands, That's what's going on. Yeah, they're afraid they're in this situation. They're nervous.

If they weren't nervous, they'd be more confident they'd engage in more negotiations. And so what happens is the older the cops get, the more fights they've been in, the better their language becomes. That's what we saw in the data recognition. Yeah, so I want to basically help young cops speak like old cops as quickly as possible.

Interesting, You know, just to get out, get out to like a rising sort. Where do you think? um, give me another genre of the world where you think you know structuring the data could have a profound impact because if your brain is playing puzzles and games like I've you know? obviously you're super focused on your startup right now, which is cool. and I think it's such an important topic which is why I'm happy to have you on. Just take me out of that for a quick second just knowing you're a human being living life.

And I think we all do this. Whatever our framework is, we can see it in other places. Yeah, give me a four insta you know this is almost like maybe inspiring someone who's also strong at this. be like hey, did you look at what's going on with the surf current or like with soccer or like, where else is do you see like a huge opportunity right now in this anything stand out? Yeah, because I come from sort of a market-centrics background.

What I mean is I Think about how liquidity interacts with each other right building trading strategies I Think very deeply about liquidity Dynamics and matching engines. Blockchain is basically markets for networks. That's how I think about it. It's like networks interacting with each other in a market sense.

So an example would be Gary my car is behind yours. My car is going to be able to negotiate with your car to get out of the way. so I can pass you and maybe I pay you some fee and and so cars are gonna be okay. Stop right there.

Yeah like that. I like the way Dustin responded and my brain did the same thing and I was shockingly quiet. Um, that was amazing. To your point self, you know this is all goes to the Techno I Keep telling my friends.

I'm like because I am profoundly stunned that people think technology stops in their live Hood I'm like you do understand that like people were our age 40 and then like the car was just invented at that time and then like everything changed for the TV or a plane I'm like Ai's gonna happen and more crazy stuff's gonna happen. So to your point, self-driving cars at scale right in the world. now on networks 5G 6G 7g 13g it's gonna get fast enough, no lag time and now because I'm in a rush I'm paying more I can actually be in my car in 27 years, nine years, 99 years whenever this happens and I could say I'm about to pay a Vic This is exactly right. This is exactly what blockchain's gonna do.

Makes so much damn sense I'm literally going to be in an interface and be like I need to actually get there in seven because I could get there in 17 minutes in travel time but it's the traffic that's going to make 39. So now I'm gonna pay the drivers in front of me a vig to actually get me there in 17 minutes because that is actually that valuable to me because if I lose that 15 minutes I might not get the business deal and this might be worth a thousand dollars for me and that could be disseminated amongst the 83 cars in front of me to or 830 for me to get there. Yes yes, that was an example of how uh flocking Rat Yeah well I was just explaining how markets. how I think of blockchain is like this big market for networks, but the NLP component of blockchain.

Um, you asked what I think about I think right now it's hard to know what's true you know in the world? Yes and um, if you have this big network of uh, you know, authenticators and consensus I think there's a a product where we dump things onto a blockchain and um, that Network through consensus decides whether that's true or not and and so that'll be done through NLP because that's going to be a bunch of unstructured data. Correct. Here's this article: I Read it got dumped on the blockchain. The chain says this thing is true because these are decentralized servers and nobody can really impact them.

It has the capacity for Providence and truth that the internet and Society does not. Yeah, exactly. Through Page linking, the network can decide whether that's true, those are factual statements and something will then be relatively true. and we'll be able to have confidence that what we're reading is relatively factual, right? Because to your point, like for many years to get back 300 years or what have you 100 I Don't care where you go like what was in a book was default into believing like we believed it, We we.

This is clearly the blockchains are clearly have the potential to replicate that energy in the world in 100 years. Clearly I agree with that. I'm still pumped about paying a thousand bucks to get to my next meeting. No, but it's really powerful.

Yeah, like I really. I Really do love that. Okay, you know, before we run out of time, what have we not? you know I always like to leave five or seven ten minutes for this. You know you were coming in this morning.

We're gonna have this podcast I'm so respond I was excited about it because I knew this would be a fun one. I'm really excited about the audience's take on this. I Think we're going to be able to bring a lot of value from these kind of stories and meeting individuals around the world like yourself doing interesting things. What did we not touch on that? you kind of thought we would talk about here today.

Kind of giving you the open floor. what did we? and you can be very selfish or anything that we didn't talk about. Yeah. I've raised a lot of capital.

um, throughout my life. whether it's Siege or series A or B or you know, even through exits. um, Trulio. In addition to professional VC we've done crowdfunding and we put it up on our website.

It's an Invest Now button and um I think Founders should be thinking about crowdfunding in the future. and I really think it's interesting because it's sort of a big digital marketing exercise. And for a business like Trulio, um, it's a big digital marketing exercise. it's a call to action where these engaged civilians want to want to be involved somehow and this is the way that they can.

And what I'm seeing is that you know if somebody invests 100 bucks that that's fine. They could be somebody that drives a hundred thousand dollar deal in their City because they go to their city council, they go to their mayor and they say I want this product in our city I'm a taxpayer. We bought cameras, we're paying for storage and so this this the idea of crowdfunding I think is very very interesting and important because it can create activated ambassadors for your brand. Got it? So you're saying how humans work if I'm a human and I put 500 into an investment through a crowdfunding no different than like people that buy a stock on the public market.

and then now that they bought it, they buy Nikes in the store or they like like Nike You're saying that the crowdfunding allows them to be micro business development and awareness engines and that that in general from a psychology standpoint and the strategy standpoint might be highly interesting because it's not just about the 409 dollars that they put in, which might be quite small in a 50 million dollar raise, it's that they may actually trigger behavior that leads to higher economic impact on the business. That's exactly right. Makes a ton of sense, especially at scale. Yeah, if 13 000 people do that, it could get real interesting real fast.

It might not be right for every business. For a business like Trulio, which right now is B2B right? The first hundred departments are early adopters. Yeah, where are you guys? We're How far along are 20 departments? Um, out of 18 000 in the U.S 18 000 police departments in the U.S And you're in 20 right now. So we're very, very very very early.

How long has the longest one been using it? Uh, 16 months? Like since day one And like without tooting your own horn like give us a I assume like you're gonna be something that's really cool. Yeah, So we we learned this. Yeah, we learn to embed academics in these departments to measure outcomes. So in this department Alameda California and the Bay Area data 36 drop in use of force 36 percent.

Got it in the 16 months? Yeah, they've had 36 percent less need for Force because of all the training and from the insights that we were able to create. Yes, because yeah, officers have better outcomes. There's less non-compliance. They're less transactional, right? The cops are smart.

Once they know their camera data is being analyzed, they're a little bit more patient. They speak differently, the machine learning and all this like I assume the more the so at scale, the more you continue to analyze, the more you're going to get further down the pipe of like another subtle Insight another subtle and so so this thing gets stronger over time. Yes I'm building a virtual Sergeant I mean that's what we I don't think cops are gonna Department's gonna hire more cops I think they're gonna. we're gonna build virtual Bots that automate supervision, coaching and they promote professionalism.

They're going to create content for departments. Do you think robot? What about robots that are like RoboCop But then why didn't you have to think for like like what do you think that like do you think that's going to be wild right? Yeah yeah I don't know I'm not sure if they'll be, you know robots I would definitely listen to RoboCop more than a record. Okay, if a robot if a cop was like yo yo, don't like like I like to like, probably jaywalk too much here in the city like the cops like yo I'm like yo I'm so sorry but like if a robot did it I'd probably run back like like the robot would probably scare the out of me like laser me or something. You know what I mean Yeah, do you think we're more likely to listen to robots than humans I Think we're more or less likely to listen to female cops.

Actually, we need more females I Like that they give explanation about 12 times the rate as a male makes sense. they're always. They have to be more strategic communication we do I got three girls, we're such ups. Um so that so that's interesting That right to your point.

This is where the data gets super duper duper duper interesting and becomes more actionable. Um I Love it again. I Know we're running out of time. Any just because I'm so fascinated by this again.

Everybody listen to podcasts I Think you can sense that I'm trying some new stuff from a from a content and marketing standpoint. Please give me feedback on what you think about. Obviously this is one man, one startup, one subject matter, but the concept of emerging things and emerging individuals that you may not just be able to find every day. Not the same people that are being talked about every day.

Uh, love your feedback on this because I I Personally am enjoying this conversation quite a bit. Last parting shots: Appreciate you Carrie Yeah, appreciate you. thanks for the opportunity of course. thanks so much but but that's very sweet.

But one last parting shot like a Robocop or something. anything anything out, anything else cool or interesting from being a founder or raising capital or anything in the machine learning space as a Founder have an athlete mindset. you know, get sleep. Uh, don't do drugs, limit your alcohol.

Think about your physical being like an athlete. You know it's really, really hard and your team needs you to be making the best decisions possible. Appreciate you! Thanks Gary Thank you sir. That was fun! Yeah.