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Rob Carpenter is the CEO and Founder of Valyant AI, the first Artificially Intelligent “Digital Employee” to work directly alongside employees in customer facing roles. Valyant’s AI “Holly” works in fast food restaurants to greet customers at the drive-thru post, answer questions and take food orders. The revolutionary nature of this technology is that it pulls AI from being a hidden back-office tool, to something that feels like a real staff member, which humanizes a brands personality and brings the AI
experience front and center to a physical location.

We discuss the power of their technology, the ethics of AI and the effect on jobs, plus how to empower people with technology and in the startup ecosystem.  Another great chat that is a must-listen for founders everywhere.

Check out Valyant AI here: https://valyant.ai/

Connect with Rob on LinkedIn here: https://www.linkedin.com/in/rob-carpenter/ 

Thanks for a great chat, Rob!

Transcript powered by Happy Scribe

Hey there. Welcome to the DiscoPosse Podcast, and this is one of those fun ones because you actually get to hear the really fun technical snafu that happens right in the middle. But it doesn’t cut into the conversation, which is one you’re going to enjoy from Rob Carpenter. He’s the founder and CEO of Valyant AI, which is something that’s really, really cool because he talks about the idea of AI as a digital employee. This is especially being used in the area of conversational AI in fast food ordering.

So really, really cool. In fact, I bet you’ve already used one and you don’t even know it. And speaking of conversation, you want to have a great conversation. Let’s talk about data protection. I know it seems an exciting some days, but you know why it’s unexciting because you need to make sure that you’ve got Veeam to protect your assets. And that means everything from your On-premises world to your Cloud to your digitally native experiences that you’re running in Microsoft Teams, Office 365 and there’s many more neat things that are coming, so hang on tight.

You’ll see lots of good stuff. But let’s save the conversation because no one wants to have that Monday morning conversation. What app to the app? It went away this weekend and we can’t get it back. That won’t be a problem if you use Veeam, so go to vee.am/DiscoPosse. They are the leader in data protection and real true anywhere, always on availability for your application. So get it done. Go to vee.am/DiscoPosse. See what it’s all about. Speaking of protection, remember that as you’re moving around and you’re on the road, or even if you’re just trying to protect your identity and protect your data in transit, the best thing you do is use a VPN.

I know I use one, especially for not just day to day stuff, but being able to make sure I can do testing against my services from different parts of the world to see what the behavior is and what latency is. So whether you’re an application tester or whether you just want to make sure that you keep your identity safe, you can use ExpressVPN. I’m a fan of the team and love the product. So the easy way to do this, go to tryexpressvpn.com/DiscoPosse.

I make it really super easy by just naming it after me, but go check it out. And one of the places you should make sure you do it. Don’t go to coffee shops, get your own coffee, go to diabolicalcoffee.com and while you’re doing that, strap in. This is Rob Carpenter, the founder and CEO of Valyant.AI, and this is an absolute must listen. He’s a fantastic human. We talk about EO, we talk about Valyant, and we talk about a lot of things. Enjoy.

Perfect. My name is Rob Carpenter, the founder and CEO of Valyant AI. And you are listening to the DiscoPosse podcast.

Alright, I feel like I should have, for this one, I should have your platform introduce us, Rob. Because first of all, I’ve listened to a lot of content, so I am excited by what we’re about to discuss. This is something that’s near and dear to a space of study that I’ve been in and looking more around the business side of it and the idea of conversational AI, I’ve been lucky enough to have a lot of great folks on the show who are in the space and it’s just so exciting.

It brings interesting emotions when we talk about the advantages and what the potential displacements are. So there’s a lot of really good stuff that I’m going to love hearing from you, in your real first world and first person view of it. So before we get going, Rob, if you want to give yourself an intro for people that are new to you.

Yeah, thank you. I appreciate it. So just new to me. I’m originally from Alaska, so I grew up right on the Bering Sea at the top of the Aleutian chain. Probably one of the more random background you’ll hear out of somebody.

That’s a first. That’s a first. Definitely a win.

And we literally have like grizzly bears roaming around in our backyard and we could go out and fish from the bank and catch 20, 30, 40 pound king salmon. So this is a very interesting life, but very early on, I really had a big interest towards entrepreneurship and starting businesses. I just kind of looked at the people that are living the life that I want to live, other than astronauts, what do they do? And almost every one of them were entrepreneurs, people who had built and founded companies.

So I read Rich Dad, Poor Dad and started to kind of get an idea of how a different part of society work that I didn’t fully understand and ended up getting an undergrad degree in entrepreneurship. Ended up in 2010 out in Denver, Colorado, got an MBA with a specialization in enterprise technology management, founded a mobile application development company, did my first M&A transaction ever. Acquiring a company in India took a year and we literally run into problems because we are using the wrong type of ink on our paperwork.

So there’s a tremendous opportunity, grew that company to seven figures in revenue. But like anybody listening to this podcast, I mean, service based businesses are just really hard. You are constantly out hunting and killing, and you’re only as good as your current project portfolio that you have. And it was exhausting. And so when I ultimately came up with the idea for Valyant AI, I was just really excited to transition into a product based business. And so I’ve been running this company now for five years is making that transition.

Wow. And this is a great place to start, Rob, because by the time you can say what you’re doing. You have to have been doing it for a while when you’re in the product world, especially one that’s in the area of AI, and you’ve chosen your specific, targeted customer niche, which is the right thing to do, because too many people, you can get big eyes at the buffet, as they say. It’s very easy to think of too many use cases. But five years in now, when was kind of the first time you felt like you could really go to the world and say, we’re here?

Like this is something that takes a while to develop to even get to that MVP kind of customer ready environment, right?

I mean, you talk to anybody that’s in the conversational AI space, and there’s a little bit of puffy in your chest for a few minutes. Then there’s a little bit of actual bonding, and within 20 minutes, you’re in a therapy session. It’s amazing how quickly you end up in that space. It’s hard. And I think we’ve been at it, like I said, for five years, we’ve seen a lot of companies come and go. We’ve had our own serious kind of soul searching. Do we need to look after another industry?

And I think conversational AI and maybe to some degree, AI in general is just so hard because you can do proof of concepts or really simple demo fairly quickly. I mean, literally, in a weekend, you could put a demo together. But then when you actually try to bring a product to market, it is just crushingly and painfully hard to get to a true, fully functional, especially for what we’re trying to do. We’re trying to emulate an employee. I mean, it’s hard enough to get Google Home to understand my wife when she asks for a music request.

Let alone something that as capable as a human. When did I think we were going to be there? I mean, at any point you ask me, I’m like we’re three months away. We are so close. Just another three months and then another three months and then another three months and a painful statement that has always stuck out in my mind. It was either the CTO or the CEO of SoundHound said, it takes three years to realize you’re ten years away.

And so I desperately hope we’re not ten years away now we are in market. We have a product. We are automating orders today, but like anybody in the AI space, we do have human in the loop backup support. And so the question really is, how fast can we reduce the reliance on those humans in the loop and get to a point where it’s just pure AI without any outside support?

This is the real interesting thing. And when we talk about what it is that you’re doing, it’s an experience that will be viscerally understood by people because they’re going to know what it’s like being on the other side of that little box. So Rob if you want. Let’s give a bit of a walk through of what Valyant is doing and where your first customer use cases are.

Yeah. So when we initially came up with the idea for what became Valyant and kind of early on, knew we wanted to pick one industry. I mean, it’s good conventional wisdom. Pick up each head, own it, and then strike out into other industries from a place of strength. And so I sat down. I kind of came up with my own rubric of ten to 15 categories and then identified roughly 20 different industries. We were at that time a future solution in search of a problem. So it’s like, where could this technology be applied?

And so we ultimately settled on the restaurant industry. Now there are some cons to the restaurant industry that people are familiar with in terms of low margin, a lot of price pressure, things like that with things like point of sale systems, there’s a lot of pressure and commoditization. So there are some challenges to the restaurant industry. But relative to some other big market verticals, like take retail. For example, the nice thing about restaurants is you tend to have a more limited domain set, especially as you look at quick serve restaurants or fast food.

You might have 75 to 150 different menu items, a couple of permutations on there, and then maybe a few hundred other key terms, catchup, fork napkin, things like that. But if it’s a very limited domain set. And although I don’t always agree with everything, Kai-Fu Lee says, if you read this book, AI Superpowers. He talks a lot about the importance of kind of a vertical integration approach, at least in these early stages of AI. And I do fully agree with that. And so we decided that restaurant was really where we’re going to make our mark.

And so we’ve pretty much been super focused on it in five years. And we’ve turned a lot of companies way and a lot of other verticals. And we’ve just tried to stay hyper, hyper focused on this one key space. And then for us, specifically, what we look at, where we see the most demand from the market is around drive-thru automation. So there was interest prior to COVID, but over the year and a half of the kind of first round of COVID drive through became one of the most important areas inside of the entire US restaurant industry.

And you’re talking to $865,000,000,000 per year market. A lot of the quick of restaurants we talked to, they were up 30% year over year. So you look at how painful it’s been for sit down, you know, high-end, fast casual. Those restaurants all suffered under COVID, fast food boom. I mean, they did huge business, and 90% to 95% of that business was done through drive through. So it was just serendipitous place for us to be having three years of kind of wind in our back at the point that all this came about.

And I was on a call this morning with the restaurant operator, and they’re already seeing another big surge in terms of demand for drive through as we go into kind of the Delta variant of COVID. So we hyper focus on that one specific use case. We manufacture our own hardware. We stick it inside the restaurant. It hooks into the technology that the employees use for their headsets to talk to the customers in the drive through. We currently process everything in the cloud. The goal would be in a year to move towards edge computing so we can do everything on site, even when the Internet goes down.

And then we have our own proprietary speech to text engine, NLP engine. And then what I refer to as the natural language generator or just kind of more vaguely, just the logic engine. It’s kind of a common sense brains of the system. So we’ve developed all those systems in-house to specifically address this one use case.

There’s so much good stuff I could do an hour on each subset it to you. So first of all, just the fact that we refer to QSR. I love this quick serve restaurants because fast food is like a pejorative at this point because you just think of just negative connotation of food. But as an industry like you said, the address of a market is fantastically huge, especially now that people are moving to this idea. They want to get out of their house, but they don’t want to be sitting in a restaurant in a risk situation.

So it’s kind of a really good mix. But quick serve restaurants like you said, they they’ve got a specific target, and it’s a very repeatable thing. And the first thing that I think of and I know people are listening and thinking, isn’t this going to get rid of somebody wearing that headset? And that’s why I want you to allay those fears, because I know a lot of my own reasoning that I do not believe that. But first hand, you’re in this, that’s got to be, I’ll say, a common if not a top objection when you talk about the value of what you can do with Valyant.

You know, and for whatever it’s worth Interestingly, when we talk to end customers, employees, the brands, some of them bring it up. They’re generally not worried about it. It tends to be all of the media interviews, and it’s about 100% that it comes up. So I’m glad we’re addressing it right out of the gate, because it is a very important topic for us to touch base on. So specifically, what we’re talking about right now is labor repurposing. So the person that’s in that order taker position. And this was something that I learned along the way, 90% of all QSR restaurants across the country that order taker is also doing sometimes three or four additional jobs to order taking.

So it’s not a dedicated position. So really, what we’re doing is we are automating a task, and that task may take that order taker 50% of their time, but they still have to process payment. They still need to fill up soft drinks. They still need to clean up after spills. They’re being pulled in multiple different directions simultaneously. We talked to one at a top seven QSR brand and their order taker on averages, doing five jobs. And so the critical thing for them is like we just need to automate this task because that person’s life is really hard.

Turnover is really high, and there are only certain subsets of their employees that they can even put into that position. So it’s a really critical challenge for them to figure out how to backstop all those employees and just make their lives better. That, I think is a kind of microeconomic view of the situation. If you also step back and look macroeconomically at the service and specifically restaurant industry, there’s 1.4 million unfilled positions in the United States today. So even if we were taking a whole position, which were not just task automation, there’s still not even the people to do those jobs.

I mean, you go anywhere and you’re going to see help on these times on pretty much every single business. Look at the airline industry, especially as our economy that starts to recover over the summer. It was a nightmare. I mean, look at Spirit Airlines, right? I mean, those guys practically went bankrupt because they had to cancel, like, three weeks worth of flights because they just literally didn’t have people to work. Alaska Airlines, they’re near and dear to my heart, they were forcing executives in Seattle to go out and do baggage handling work on the Tarmac executive.

You’re talking of VPs of marketing or chief operating officers hauling luggage because the labor shortage was so acute for them. So we’re really helping these restaurants because they cannot find the labor and on average, within the industry turnovers 150% to 300% per year. So you have a really hard time finding somebody. When you can find someone, you’re refilling that position one to three times per year. And if they do stick, that person’s being asked to handle five different jobs simultaneously. And that is a perfect application of AI or, more generally, probiotics.

When you don’t have enough people to go around, the job is monotonous. It’s dangerous. It’s boring. Automate it. Let humans focus on the things they’re better at than doing something that is just a repetitive task over and over and over again. How’s that?

That’s perfect. Number one, you’ve affirmed my belief in that we are not removing roles were, in fact, elevating people into more opportune roles. And I love that such perfect examples. And thank you for bringing numbers to it as well. We can see the impact there. It’s frightening, right? People think of this idea that we’re like, of course, last night, as we’re recording this, the news hit that we’re creating the Tesla Bots. And so immediately there’s this, somehow that Elon is looking to get rid of the citizens of Earth and replace them all with robots.

And it’s, like you said, it’s such a media frenzy reaction, just because it’s something to talk about that they know can trigger someone to listen. And I guess when you’re in that business, that is your that’s your business is getting people to listen, getting people to read. And these kind of tropes are so easy to latch onto. But like you said, when it comes down to it, the people who you’re talking to that are going to use these systems in their own environment that they’re working in, they’re like, thank you, Rob. Bring it on.

Yeah. And I think, too. I mean, we got to get a little more nuanced with things as well, because the innovation has always been part of human society. It’s woven into the fabric of the American psyche. What we need to be concerned about, which is why I think this question is important, and we should talk about it is the pace of innovation. If we look and we step back and we say 100 years ago, turn to the last century, something like 95% percent of the entire US Labor Force was involved in the agrarian industry.

And I don’t know about you, but I really love going into my office and sitting at my quiet desk with a warm cup of coffee or playing Ping pong with my team or grabbing a beer for a happy hour versus being out and working with livestock or out picking vegetables. Not that there’s anything wrong with those types of jobs, and that’s obviously critical to our survival as a species. But if you look at where we are today, it’s something like 1.3 or 1.4% of the entire US Labor Force is still involved in the agrarian industry.

So we have more food than we’ve ever produced in the history of human civilization. And we went from 95% of people involved in that to one and a half percent. That is innovation. Innovation is not bad. That has made a lot of people’s lives a lot better. I think, where we have to get concerned. And I think this was maybe a bigger fear five years ago. But it’s just the pace of innovation too quick, because there’s a natural attrition of jobs every year and the creation of new jobs, like, 20 years ago, who would have thought social media manager would be such a critical position and how it is. So like that’s innovation.

If the pace of innovation is too fast, that’s when it creates problems, because then you’re losing too much of the workforce before you can replace it with new jobs. And I think that big fear does come down to some element of conversational. Ai, automating, service based work and white collar jobs. And then I think the other big part of it was everything going on with self driving cars, for example, like truck driving. That’s the number one profession in 26 States in the United States. So if all that gets automated and then all customer service work gets automated, that’s a big problem.

But going back to the Tesla Bot and what we’ve seen over the last five years in these kind of AI updates of where self driving, we’re still not even at level four. So things that we thought would be easy. Elon Musk was promising we would have it in 2017, still aren’t even really ready in much of a real way for a beta consumption. And so I think that’s maybe alleviated some of those concerns. Are these things coming? Yeah, absolutely. Will there be self driving cars in the decade? We thought it out.

But by stretching out the timeline for innovation, I’m actually significantly less concerned now because, yes, jobs will be destroyed. But the new jobs are going to be created while we wait for things like self driving car to hit level five and actually be able to work in a place like Alaska where there’s snow everywhere and there’s nothing really tangible for the cameras and the light are to really play off of. So we’ll get there. It’s going to stretch out a lot more than we thought it would five years ago.

And that’s going to give us plenty of time, I think, to replace those jobs with new jobs.

And in a way, you bring an interesting point, I think, isn’t the fact that we talk about the potential innovation. It becomes an antibody to the removal of value of the current human counterparts that are doing the stuff, the fact that we have these discussions and we talk about the potential to reach the specific areas that we’re aiming for, that we’re not there yet. It gives the industry and humans a chance to kind of go, if this is coming, we better start to innovate processes and companies.

And the way that we work like, I’ve never known anybody that automated themselves out of a job. They’ve automated themselves into a better opportunity almost every time. There are, very certainly, some specific roles that, like mechanical robotic process automation. That type of stuff did replace some things. But again, if we looked at the numbers, it’s such a small portion of the global industry and the ones that it is. In fact, it was literally killing people to do this work.

Right.

This is stuff that shouldn’t have been done by humans. We just had no choice because we weren’t born with the machines. So that’s an interesting thing.

I think the perfect case study for this is right at 100 years old. And that was Henry Ford and the Model T. And he was one of the very first kind of industrialists to bring in this idea of automation and mass manufacturing. And when you have one manufacturing line and you start to automate 20% or 30% of that mass manufacturing line. People get scared. And he had employees. He had family members. He had people from the community that were literally picketing outside of his factories because automation was destroying jobs.

This is 100 years old. And what happened is that by automating things, he was able to bring down the price of the Model T so that more people could afford it. So then what happened? More people bought it. So he opened a second line and a third and a fourth and a fifth and a sixth. And before you know it, you’re employing exponentially more people than you ever employed before. And you’re doing it because you’re becoming more efficient with your use of capital. And that’s exactly what’s going to happen here.

But that doesn’t mean there’s still not concerned in the short term, just like there was 100 years ago when people were picketing out in front of this manufacturing facilities.

The other thing as well is the acceptance of the new innovation becomes a baseline pretty easily the point leading up to it seems like a forever moment. Like my example, actually, I used this in a presentation recently at work, and I said, like, you know, Elon went to first principles when it came to space travel. And we said, like this, everybody told him it couldn’t be done. It’d be silly to do it, just even in that specific one area. He then said, I’m going to land the rocket, not just going to send it up.

I’m going to land it on a launch pad. And they said, this is crazy. It can’t be done. And then one step further, he does it repeatedly. And now Jeff Bezos goes to the edge of space, and he lands the Blue Origin rocket nose up. And not a single person said anything about it, right?

They were just like, yeah, that can be done now.

Yeah. Like, it was like, if it hadn’t landed that way, people have been like, whatever dude. They would have been angry at him. And so it allowed us to move the conversation to something new, which was okay now that we can do this repeatedly, what can we do with this availability of technology? And now this is. And there’s an interesting thing as well. People said, well, we’re lining in the pockets of Elon as an example. And look, I’m not going to go. I don’t want to have a discussion of the weight of the billionaire or whatever the challenge there.

The result of the work that they’ve done has resulted in the US government saving a $150,000,000,000 in spending while still sending objects to the ISS now. So then it has had a significant benefit to the entire, every citizen of the United States has benefited as a result of that. So it’s definitely there.

And this is going to be a whole new world for innovation, right? I don’t really even think it’s a question of if anymore, within a few years, the SpaceX, Heavy Falcon Rockets, they’re going to be landing people on the moon. They’re going to be landing people on Mars. And by doing that, you’re going to need habitation, you’re going to need food, you’re going to need water, you’re going to need rocket propellant, and SpaceX will do some portion of those. And the companies that come behind them will do some portion of those.

But they’re not going to do all of them. They probably won’t do more than a few fractions of single digits of everything that has to be done. And so it literally opens up entire new worlds from an innovation standpoint, from a work standpoint, from an economic opportunity standpoint. And so, hey, are they automating parts of a rocket manufacturing process that used to be manual? Yeah. Is that reducing a few jobs that used to be there? Yeah, for sure. But they are now producing dozens and eventually hundreds more Rockets that could have ever been done before.

And through that process, opening up a whole new world of economic activity. Absolutely. That goes back to that kind of more macro economic view that economies are dynamic. You were meant to automate stuff. That’s been part of civilization since we invented the wheel that allowed us to do things faster and more efficiently, and that will continue to be part of our future.

So looking at, I apologize, my video is suddenly decided. Speaking of the amazing thing of technology, and yet somehow a simple laptop can’t keep up with humans and what.

I’ve been there. I get it.

What I love about what you and the team are doing, Rob is again, very quickly jumping to the human value and impact that you can have with what you can do. So conversational AI has had its really, really interesting adoption in a lot of different areas, and some people didn’t even realize like it starts mostly in text. But the voice conversational AI, where have you seen the challenges and the real wins in bringing this product to market?

Yeah, I think the core of the challenges I’ve kind of learned the space over the last almost half decade now is sort of the daisy chain effect. Conversational AI has multiple critical path things that all have to happen in a row. And if any one single element in that process has degradation, then everything after it is degraded. So let’s say just using kind of easy numbers here, you have five critical processes within a conversational AI system. If every one of those systems is just degraded by 5%, take speech to text.

If you have a speech to text engine that was 95% accurate, you were talking about a world class product at that point, but you still have 5% degradation from a 100. If you have four things after that for a total of five and each one is accurate, you’re still talking about an end result that’s wrong 25% of the time. So you have to have every single one of these elements operating at 98, 99. 99 and a half percent accurate so that you can achieve something like 90% total success of orders, in our case, over the course of the entire interaction.

And so that’s the extremely hard problem. None of it can be just good or good enough. Literally, every one of your core elements basically has to be world class or close to world class to get to a point where you are automating the vast majority of the orders that flow through a system. So I think in a nutshell, is the hardest part of building a conversational AI platform.

Yeah. And this is the challenge. Like you said, the demos are easy to spin up when it goes well, it’s easy to get to a very simple MVP, but I’ll go back if anybody’s watch Silicon Valley sort of a famous thing, and it comes up with this visual. We can take pictures of food, and I can show you what the food is. And he takes a picture of the hotdog, and it says ‘hotdog’, and they’re like, yeah, we did it. And then the next one is not hotdog.

So if it works, it works well. But then very quickly the edge cases become core use cases, especially in conversation, because it’s such a nuanced thing to do with.

Yeah, the entire product is edge cases. There really is no happy path in these types of environments where we’ve seen the most customer facing conversational AI adoption is when it’s really like limited term or just one meaning you ask Alexa a question and it answers and you’re done. And for those guys, they’re effective on kind of world classes. They can do one round of context follow up. Our average interaction with the customer has a minimum of ten, and we can have some that are 20 or 30 in terms of asking, answer, asking and carrying on a more true type of conversation of what you would expect from an employee.

And so you have to carry the context through from all of that. You have to carry the nuance through from every one of those. Every single time you request a new response from the customer, you are opening yourself up to an edge case because they might say something like “nah”. You and I, we understand “nah”, that means no. But let’s say simultaneously the customer said that kind of quiet or their car radio is on or like we had last week, there was a leaf blower in the background.

And suddenly when speech to text treads to transcribe ‘nah’ that comes back as ‘yeah’. So you have in one moment completely inverted what the customer said and you might be 15 turns into a conversation. And the AI is an 100% accurate. You missed one small word. And now suddenly you may have failed the entire interaction of that conversation and taking the conversation off of a cliff, basically. So it’s an entire business of edge cases and the cliffs surrounding the start and end of the conversation are steep and painful if you don’t get what the customer is saying perfectly.

You brought up a really great point and we talked about the nuance. Even we say, we all speak English, everybody I should say. Even that just the fact the arrogance that I would automatically go to we all speak English. What the challenges is the we’ve got sort of dialect. We’ve got accents, nuances of the human language to then add it to the fact that you’re ordering things that are called like, can I get a double Foogly Moogly? This is not even easy stuff to be able to translate, right?

No. And that’s still on the speech to text side. I mean, there’s other things like, can I have the two for four? It’s like, okay, well, what’s the logic that goes into that? Is there two chili dogs count for that? Is the two the price or the quantity? Is four the price or the quantity? And so there’s innumerable number of amalgamation of how these restaurants will package their food and their condos together and allowing the system to intelligently understand the core basis or principles, rules in every one of those situations.

And then in something like, can I have the two for four? Basically, each of those words in there are super critical. And so if you just miss one word or mistranscribe it, it can wildly change the output of what the customer was actually intending to say to you.

And just even, such a great example is it two four four? Or two for four? Like, there are so many words sets, which I even find that I’ve tried to use speech-to-text with simple dictation. And it just creates this giant run-on sentences. And I often thought there’s got to be some way, some shortcut that can be used to say period, comma.

But when you say them, it writes out the word and you can see. And then what happens is the frustration drives me to feel that the tech is failing, which I know it’s an unfortunate human reaction, but it’s actually, I just haven’t figured out how to best interact with it.

Right. We are seeing I will say that element getting better. I think this job and building this company would have been so much harder, bordering on impossible technology aside, a decade ago, purely from a customer psychology standpoint, that was right around the time that we started seeing Siri, Alexa, and Google Home start to enter into the marketplace. Fast forward today, and there’s hundreds of millions of these units sold. And so everybody in one capacity or another has interacted with one of these systems or likely heard somebody else interacting with one of these systems.

And that is helping to start to kind of train customers a little bit more like in normal communication. We’re extremely fast. We tend to be a lot more vague. There tends to be a lot of nuance. It tends to be a lot of emotion and internal Ty and body language that all feed into our communication with each other. And I think people, as they’ve now gotten more and more used to interacting with these systems, they tend to be a little bit more halting, tend to be a little bit more direct, and ideally, if they can be a little bit louder and a little bit more patient, every one of those systems helps the accuracy of the system in terms of understanding customers.

Such a good point. And so this is a funny story based on that. The platform that I’m recording on, it’s called SignalWire. I actually had Sean Heiney, who is their chief product officer on this. Sean was great. And I started using the platform. One of the advantages is that it allows you to actually stream multiple sources of audio simultaneously, actually multiplexing audio.

The advantage to it is if you have four people on or if you and I talk over each other, we can talk over each other and it continues versus the, I’ll say, other platforms have the problem of digital cut off where as soon as one person starts to talk and then you and then they both start talking again. So this platform gets rid of that. However, when it starts to happen, we naturally accounts for it, like the people I talked to will stop talking if they hear me talk at the same time. I’m like, no, no, no. I was just sort of adding color to it like.

We can all talk at the same time. It’s actually fine.

We’ve learned to behave within systems that are common now. And like you said, no one really doubts. Hey, Siri, do this thing or hey, Google, do a thing. We’ve actually kind of, we’ve normalized it, which is kind of nice.

Yes, I would agree.

Now, on the technology side, you’ve talked, and if you don’t mind, I’d love to dive in. You talked about currently, of course, you’re sending data to the Cloud. That’s the easiest way to do this because you want to make sure is it the most computing powers there create the most viable centralization. It’s a great platform approach. But you talked about the move eventually to do more stuff at the edge. And that is important because we’re going to see more. You know, first of all, just the risk of power loss and data loss and other things could impact it.

But then you really open the doors to interesting, unique use cases once you can have a real full edge presence.

Yeah, it’s really critical. And we’re finding, at least within our industry, there’s definitely a lot of concerns from these restaurants. Some are in major Metropolitan areas and have fantastic high speed Internet, and a lot are in really rural areas with really bad Internet connections and even where we are now almost ready to go into 2022. There’s still restaurants in some cases, I know that are on dialog, and so in those situations, it really precludes you from being able to your product to market if you don’t have it capable on the edge.

So where we’re at right now is we just are starting in the more Metropolitan, more well connected areas, but it opens up basically the entire rest of the industry. If you can push it to the edge and you wait until the middle of the night and you push downloads and updates to the system and things like that to keep it current. And it’s a lot more from a kind of a device. It software management when you’re so distributed like that on the edge versus just having one core platform that’s in the cloud, that’s significantly easier to interact with and to modify, but at least for us and for our industry in our use case, that edge capability is going to be really critical for us in the future.

The other thing that’s interesting is as a founder and knowing that you’ve got to stay focused, how did you maintain that? You talked about, at the start, that you’ve actually had to actively turn away folks that have brought lots of hats? Rob, you’re doing this. What if you just did here? How do you maintain that real Pragmatic approach, especially not just because of you, but your entire team has to ultimately stay aligned on that vision of what you need to get done first before you branch out.

Yeah. I mean, I’d be lying if I said it wasn’t hard, and I think this is a problem that every entrepreneur and business owner faces and kind of determining their model, which is, are we going to have one sort of generic system that’s going to work well or work okay in a lot of different industries? Or do we just want to have an absolutely best in class product, but in the foreseeable future, it’s just hyper focused on one space. And I’m not actually a engineer. So I definitely come more from a business development operations type of background, and it’s hard to turn away a 500 billion dollar company that wants to talk to you about voice AI capabilities.

Generally, what I’ve done, which has been helpful for me, is I just throw out high barriers to entry for them, because for these big companies, it takes nothing to waste a startup time. This could be interesting. Let’s see if all those guys over there want to go and work on this for free or, nearly free for six months or a year, and then we’ll see if we want to do anything with it. So it’s been a bit of a self fulfilling prophecy to stay focused, because I have taken those meetings.

I have talked to those companies, but then generally, I just throw out high price points to them. And then in the back of my mind, I’m like, okay, well, if they pay this, then I can go higher. One, two, three people. They can focus on adapting our platform because at the end of the day, it’s just software, right? So it can be adapted to any industry. But it takes focused time and energy and concentration. And in pretty much every one of those situations, then the companies come back and said, like, okay, well, it’s not that big of a priority for now, and it works out in that way.

And it’s a way where we’re not rejecting them or leaving a bad feeling with them. We just kind of lay out the case, the background, the reason it goes into it and then throw a big figure in front of them and say, hey, if you pay this, we’ll do it. And I think especially right now within the conversational AI space. There’s so many people working on it. There’s so much going on. I think there’s a lot of excitement. There’s a lot of real technology, there’s a lot of hype, there’s a lot of smoke and mirrors.

And so it’s very choppy waters for companies to figure out how they want to navigate this process. And so by throwing that barrier up, it’s pretty much kind of kept everybody out and allowed us to just stay on our sort of happy path from a go to market strategy. That’s just how it made sense for me.

Yeah, it’s great. And when you talk about that, there’s a lot of folks that are talking about the space, and they have technologies versus like yourself, where you’ve literally chosen, you’ve laser focused on a use case, you’re delivering it, you’re growing with Lighthouse customers. You’re doing that really, really strong methods of don’t do B until you’ve succeeded at A versus people that are like talking about A, B and C, and then maybe dabble in D. But they can create a lot of noise for you.

I don’t want to call it competition, but how do you do noise reduction against that stuff? Because eventually your customers will be like, hey, Rob, some other people are approaching us because of course, you go to Google and you look up Valyant. And the first thing that comes up is not Valyant because somebody’s buying ad space above you, which is the first site you’re doing well is when people are buying ad space above you. So Congratulations on that.

Yeah. I’ll tell you what, ironically, we’re in a situation right now where customers are not a problem for us. So it’s nice if we just really don’t have to focus much energy there basically everybody in the market want this technology. And so I think we’ve done a nice job of sort of positioning ourselves out there. And so as I look at the top ten biggest brands in the entire United States, we’re talking to or working with half of them. And so these large organizations or finding their way to us.

And that’s been really helpful, too, because then I’m not trying to work my way up through cold calls or introductions or other marketing efforts and having to kind of work my way up the chain to somebody important that can actually make the decision and sign off on projects and determined to move forward. So I think that portion of it has been extremely healthy for us, but I might need to go look and see who’s bidding against us and put some energy in it.

The other thing is just as a technology side, it’s very easy to look at the wonder of what’s possible. And as you go and you take on like adding new features or adding new customers, and you’ll see the expansion into potential, like taking on this idea of moving more tech to the edge. It’s a real undertaking where you have to invest into it. So when you’re making decisions like that as a founder, what’s your thought process around, where you have to be 100% revenue generating versus how much can I put into the longer term growth and viability?

Yeah, I think, and I’m assuming here a little bit, but I don’t think there’s too many of us that are in this hardcore AI space that are really trying to bust new pathways into markets that have never existed that are hyper profitable because it’s just huge amounts of work and huge amounts of investment into the technology. And you have some level of just sort of carrying costs for every single customer. And so the more you can improve the platform, the more you can bring down those costs and improve your unit economics.

And so something like Edge, your hardware, those are decisions I think bigger decisions are. For how long should I keep trying to drive towards perfection versus focusing more on just trying to be profitable on a per unit basis? And I think at least from my perspective, I really view conversational AI as a true kind of customer service automation capability across dozens or hundreds of markets as a blue sky opportunity. So I would rather keep investing like crazy to get the product as capable as possible and then be able to push into as many additional spaces once we can transition out from a source of strength versus just trying to dig in on the unit economics and staying smaller and trying to make each one of those locations just a little bit more profitable.

So I think it’s a land grab right now. A lot of different companies have grab space in a lot of different industries. We have three to four, I think very real competitors that have good technology in our space that we’re actively competing with to try to grab land in this space. And I think we will continue to see this at minimum, for another five to ten years. And then I would expect conversational AI to start going through a similar type of market consolidation that you’ve seen in a lot of the other industries prior to this.

Yeah. And the interesting thing, of course, is because folks like you and I were a bit more aggressively focused on the the competitor space. And in the end, there’s such a huge consumer environment for this stuff. There really is. If you spend so much time focusing on the competitors, you get lost chasing them instead of chasing your business. And it’s so we always have to be mindful. But of course, the the inner nerd in me is always like, you know, where are we technologically aligned with somebody? And make sure I can always think about differentiation without being stuck on like, they changed their messaging again.

You can’t be attached to folks that are in a parallel space too much.

Yeah, I would agree. And I still think there’s some challenges and some education for the market as well. We recently ran into a situation where a company in our space was telling potential customers like, hey, we’re 90% plus accurate, and they’re just kind of leaving out that. But we have some people in the background that are fixing things on the fly to help us get to that number. And so the customer wasn’t quite as sophisticated enough to ask and the other company didn’t bring it up. And so there is still an element, I think of kind of smoke and mirrors out there.

This is a very unconsolidated, unstabilized market. It’s a bit of the wild wild west. There are no norms, there are no level systems to compare against. There are no independent third parties to verify capabilities and stuff like that. And so we see companies throwing out pretty stretched metrics relative to what we see, both in terms of what state of the art technology and when we test what’s their system actually capable of. And so that’s been kind of an interesting process of bringing this product to market and kind of navigating against the sales and marketing that maybe sometimes there’s somewhere between kind of disingenuous to just sort of withholding information because customer didn’t know what to ask.

Yeah, that’s a tough one. Like you said, especially when it’s a new technology and new space. No one knows that there’s a Mechanical Turk hiding behind the scenes and all that stuff.

Yeah. Google spends billions of dollars developing their Google home system. And I heard a number at one point that said they still have up to 30% of interactions being reviewed by a human. So it is the very dirty secret of the industry of which everybody that’s in it understands crystal clear, and those who don’t understand it and who are trying to figure it out and who are trying to find a way to take advantage of this technology. They often find maybe murky, kind of maybe feel like they were a little misled.

And so I think there needs to be a lot more transparency on our part. And as a technology group as we bring these technologies to market to be real clear about where things work and where things don’t work.

I don’t want to put a limit on the use cases that you’ve got because I’ll say it’s more focused and that you’re less likely to bump into the need to do real deep like sentiment analysis. There’s obviously points where that would come in. I would imagine.

Yeah. For certain.

When someone starts yelling into the speaker like Samuel L. Jackson, you’re probably, time to make sure that somebody taps the headset and get to listen to this like versus some of, like the call center AIs, they’re much more. I feel I’m about to say it, they’re much more challenging to implement because they’re specifically going after doing stuff like continuous sentiment analysis to gauge the health of the call because they’ve been a different long form conversation to attack.

So I don’t mean to say it’s harder. It’s a different challenge that they’re solving. Yours, where do you see the variability and what you can start to do with some of the deep capabilities in NLP and actual analysis?

Yeah. I mean, again, going back to, I mean. We are taking in live conversations on. The vast majority of the conversations we are taking are being handled entirely by the AI, and it took us a long time to get there, but that is a very real product with very real capability. I do believe what we’re doing is exponentially harder than something like sentiment analysis. That is extremely valuable to those companies credits. They’re probably making a lot more money than we are as we’re trying to grind out this hard space, but think about it with that sentiment analysis example.

If it doesn’t work correctly in one to ten cases, does anybody know? Does the end customer know that they care? Does the call center rep on the phone that they know that they really care? Maybe if the sentiment picks up, the call is going really bad, it goes to pull in a manager or they just use it to monitor it after the fact, but it doesn’t stop the core capability from happening. The customer and the call center up still did their call. Could it have been better?

Probably. They still did their call with what we’re doing and with what other companies in our space are doing. If we miss something, the whole call goes off the rails or theoretically can go off the rails if it’s not recoverable and it’s front and center with the customer. So it would be more accurate to say that the call center person is actually an AI trying to carry on a conversation with the customer. That’s much harder than just passively monitoring stuff and tagging it for data or analysis or flagging it to pull somebody in because it doesn’t fundamentally break the core product.

If it doesn’t work, if we go off of one of our edge cases, it fundamentally breaks the product.

Yeah, that’s the interesting thing. And anybody would go through this I just think of the last interaction they had with somebody through an order process at a quick serve restaurant. Odds are the last thing you did. We as humans, made a mistake doing the order or when they do the read, that’s why they do the read back. And I love it. It’s like, do you want to? Actually, no. Let me go with number two instead of number one. And then it’s like, okay, we’ll do that. Is there anything else we can help you with?

Okay. What I’ve got for you now is X and like, that rapid validation and the fact like, there’s so much that can go wrong in the seconds leading up to that, they’ll be like, actually I want number two, not number two, number three. I mean, yeah, number three. Just writing those words down. Yeah. Big deal. You transcribe it. That’s basically a glorified transcript. But actually taking that and turning it into an order.

And responding intelligently in that situation. And maybe you could parse all of that and you got what you needed. But maybe you have to parse all of that. And the customer was still ambiguous. We had a situation when we were working with the restaurant chain here in Denver called Good Times, where we were automating breakfast orders. And so we had a one customer I remember came up. He was like, hey, could I have six sausage burritos? No, no, wait.

Actually, I want three bacon burritos and then sausage burritos. And so it’s like, do you want nine burritos? Do you want six burritos? There’s a lot of ambiguity in there. And so then the system also has to have context. And so that’s an area where we see the company spending billions of dollars, and they’re just scratching the surface of context. Yet for any company that’s trying to do customer service automation, where they’re directly talking to a customer, you have to be able to manage a tremendous amount of ambiguity and related context and then try to respond as we talked about early on with the daisy chain issue perfectly every time.

And you might have a minimum ten turns back and forth, and all you need is just one of those to go wrong. And then the entire thing could be a failure. And so it’s a very painful and exacting process to get to a point where you have a product that is kind of widespread, adoptable and scalable within the industry.

It’s an amazing time to be in this world, though, that we can do this, right? Like to think of the technology that enabled you to do this and that you and the team have chosen to take it on and your succeeding. What a fantastic world, isn’t it?

I love it. I mean, not to be corny, but, I mean, I still get goose bumps when I review sessions, and it’s just perfect all the way through, because I know how hard and painful and grueling that work has been to get to that point. And so when I can sit down and listen to a minute, two minutes, two and a half minute order, and everything flows perfectly throughout the entire order. It’s like, oh, my God, it’s live. It’s real.

It took us a long time. This is a product. It’s such an exciting experience. And truly, I couldn’t be more excited to be in the AI space because this is ultimately going to be the brains of everything. Right? And I think I don’t see it as much as I would like, but there should be a lot more coupling, I think, between robotics companies than AI companies. And if we throw a sort of full circle here, back to the Tesla Bot, there’s maybe one or two Nobel Prizes that’ll be one by an engineering team that can actually pull off what Elon Musk talked about yesterday.

But let’s say that they do. It’s still an extremely capable system that is going to be a paperweight unless it has the brain of an AI behind it. It has to know to be able to carry on conversations with people around it. If it’s about to drop something on somebody and somebody says, stop and yells it at the robot and they’re in an echo-ey warehouse. It’s got to pick that up perfectly the first time and do exactly what was requested. And customers, as we found, just because they’re so ambiguous, they’re not going to write a script for a robot to go and get their mail or go buy them a gallon of milk.

Must talked about like, the system is going to have to be intelligent enough. Somebody’s going to say, Go get me milk. And the robot is going to have to intuitively know what go get me milk means, which is like, turn around, walk to the door, open the door, walk to probably a car, get into the car, drive to the grocery store, walk into the grocery store, go get the milk, pay for it, and then repeat all the steps to get back. And that is where AI lives.

And so it’s just such an exciting time. Industry wide. It’s just in its infancy. It’s going to be really fun to watch this technology evolve over the next 10 to 20 years as it just continues to get smarter, more sophisticated, and starts to proliferate into more places that ultimately, I think, will make our lives better, both as consumers and as employers and his coworkers.

And I want to tap into something that, as technology, amazing. Our place in the world to be able to do this is pretty fantastic. Yeah, I was going to say, what are the risks that we have? But I don’t want to take a dark turn. I want to tap into something else that I saw in your bio. You’re a member of Entrepreneurs Organization, so EO has come up a lot. I’ve had, when you do a couple of hundred of these interviews, you eventually bump into this common things. And EO comes up a lot.

I love to hear. Rob, how did you discover this? And what’s been the value that you found from being a part of that organization?

Yeah. So for anybody listening, who doesn’t know, EO stands for Entrepreneurs Organization. So it’s basically an international networking group organization where entrepreneurs come together. So here in Colorado, we’ve gotten extremely healthy chapter. I think we’re 160, maybe going on 200 people that are in our organization. And every single month, they’re putting on different events. So a couple of days ago, a guy that owns a brewery here in Denver, gave anybody who wanted to a tour of his brewery and gave everybody free beer and talked about the business and the economics of it, things like that.

There was a lady that owned a bunch of restaurants. She gave people tours of her restaurants, explained how they work. She had a very cool kind of collective thing going on where they renovated an old warehouse, and they had, like, a dozen of different restaurants inside there. And you go sit at any restaurant, you can get food from multiple restaurants. Talked about kind of where the evolution that she saw restaurants going. At one point, I think two years ago, we brought in a guy from the military who was the one that found Saddam Hussein.

And he talked about all the work that he had to do to be able to kind of track down where Saddam Hussein was. So it’s just fantastic and intellectually exciting to be around similar people that are trying to grow companies. It’s amazing how many times we all run into the same problems. So to be able to chat through those problems, share experiences of how you’ve overcame those issues, could be partners, can be fundraising, could be legal, can be challenging customers, because ultimately, at the end of the day, it is lonely at the top of an organization.

You don’t want to complain to your direct reports and bring them down. You need to kind of sometimes bottle some of that stuff up, and you just try to keep people kind of excited about the mission and the goals and pushing forward. But then you really do need people that you can lean on have similar experiences that have been what you’ve been through. So the tours, the networking, the speakers, like, those things are fun. But I think the core of EO is what’s referred to as forums.

And so within our bigger chapter of 160 to 200 people, it breaks it down. And everybody gets put into a forum of about five to sometimes ten people kind of on the bigger end of the spectrum. And you get together once a month. And then everybody talks about, like, hey, here’s what I got going on here’s. What’s working here’s, what’s not working. You can give each other experience shares. You can lean on each other. And then even within our forum, we’ll bring in speakers. And it could be speakers to give you education on business, life goals, they could help you with relationships, retirement planning, succession, things like that.

And so it creates this community of people that know what you’re going through that can help you. And that can support you, be it in business or be it in life. And then because it’s an international organization. If you travel to or pretty much any kind of major city, globally, there are chapters of other EO members there, and I’ll regularly get emails of, like, an entire forum that are flying out to Colorado, and they’re like, hey, if there’s anybody local that wants to meet up, let us know.

And you just get to meet all these cool people. I attended one with a group that came up from Costa Rica and really hit it off with a guy he owned a custom software development company. I had just recently left my custom software development company. We connected on everything. And by the end of the night and a bunch of beers, he gave me free access to use this place in Costa Rica whenever I wanted. And so it’s like, what are you going to get those types of experiences in your day to day life when you’re just kind of bumping into people?

And so it’s obviously something that’s near and dear to my heart as I was able to quickly pontificate on it. But I think for anybody that’s running a company, I would just highly encourage you to check it out. It’s just nice to be surrounded and able to interact with just really cool people.

I think I was calling goodness greater policy cameras, last time from Sheets & Giggles. He’s in Colorado, and he was the first one that turned me on to the organization. And then, like I said, probably half dozen other people now. Since then, he brought it up. I’m like, I got to get closer to this. And I’ve actually looked at the organization. It’s good because there’s, like, a minimum as far as the range of folks who can get involved, it’s very targeted. It’s not like a hangers on Reddit group.

This is people who are active. You have to have a certain amount of active revenue. You’re really and truly aligned with a community of people that are doing something. And it’s it’s just so refreshing to me to see that because there’s community for technology, there’s community for so many things. But for founders, it’s a really difficult and lonely spot to be sometimes and have that peer group accessible without having to engage advisors and ultimately, like, everyone wants to give you ideas because they know they can get a hunkier company.

That’s ultimately what a lot of the people that. I want advice from people that are living the life not who just want a taste of mine.

Right. And that is exactly what it is. And I think you also hit on something that was kind of important to me, too. Is it’s not the hanger honors because I went to two or three of the other big kind of national global sort of groups kind of like this, and they just tend to be stuffed with consultants and people that kind of want to live in your orbit. Again, as I go back to my forum, everybody’s roughly in a range from a revenue standpoint, there’s just one guy that’s in the hundreds of millions from a revenue standpoint.

Everybody’s got similar sized organizations in terms of the number of people that they have. And because we’re all living it, we can all collaborate. So in my custom software development company, I crashed and burned with my partners and they bailed out of the company. I’d say at least half of the people that are in my forum, my group of about nine people. Well, probably half of them have had partnership issues since I’ve been in the group, and that’s a lot of experience that I can share.

One guy mentioned that’s in the hundreds of millions from a revenue standpoint, he’s able to give a tremendous amount of advice to us that aren’t at that stage yet that are still growing and building our companies because he’s done a lot of the things that we’ve done. We even have one guy in there that’s managing partner of one of the law firms, and he very kindly, you know, we’ll answer questions and give us some at least sort of direction of where to go from a legal standpoint and things like that.

And so it’s so helpful. And a lot of us will find, we’ll start forum and we’ll just kind of feel like heavy and it’s difficult. And by the time I’m done and we all go get dinner together after forum, I just feel like light and happy and just kind of rejuvenated again. So it’s just sort of good for my soul anyway, to just be around really interesting and exciting people doing cool things. Yeah.

Because like you said, when you go to meet ups and just like general, like event driven organizations, you tend to get a lot of people who are like they’re entrepreneurs. I’m not saying that one isn’t right or one is better or whatever. But you don’t want to be in a group where you’re surrounded by people who just run Shopify. So I know as a guy who runs some Shopify store, I got a successful coffee business, but I don’t have the same thing to bring to the group versus my experience and the advisory and real side.

So yeah, you can see the cut line where.

Plus those meetup groups, they are wonderful. They tend to be a lot more superficial. Might be the best way to put it. You don’t get really deep from a connection standpoint. You might share some ideas here about some cool companies. People come, people go. There’s a lot of transients to it. For our forum, we’ve got real strict requirements on attendance because we really believe that time together, sort of build bonds and build connections. In October, my forum and all of our spouses. We’re all flying to Napa Valley together. We rented a house together.

We’re lining up different wineries that we’re going to go to different restaurants. We’re going to go to in two weeks. We’re all going to meet up at a Lake out here in Colorado, and we’re going to bring our families and our kids. And so it’s a lot, I think, more consistent and much deeper ties than what you might see in some of those other organizations. Yeah.

And it’s finding the group of people who are aligned in a like, it’s tough to find those two things together. You can find a lot of alignment. But then if they’re so disparate in where they are company position wise, it sounds like such a great organization. I’ve heard nothing but really respectful words spoken and folks that are part of it. So I do recommend that. I guess in closing, sadly we lost couple of minutes in the middle because, for anybody that still watching on the YouTube, they’ll see that I’m on a phone instead of on my regular rig here.

Rob, I’d love to get your advice for folks that are getting started, and especially now, COVID and the state of the world means we’re going to be remote longer. It’s a great opportunity, I believe. Are there opportunities to be had? And so for folks that maybe were on the cusp, people that are already remote and thinking, maybe this is my time to start up my entrepreneur mindset. What advice do you have? Kind of today. It’s August of 21. What can the next three months be for somebody who wants to think big?

Yeah. So if you already have your business idea and you know what you want to do, then just get started. It’s the most critical thing. I just finished reading a book called Super Founders, and they talked about what was the number one key to people’s success. And the kind of read it too long didn’t read is past success, which sounds cheesy, but it actually makes sense. So people that have started companies are then more likely to be more successful and are more likely to build a billion dollar companies having done it in the past.

So I think it’s just like anything. You need experience and you need time. I think a lot of aspiring entrepreneurs, they try to make their first company a billion dollar company. So goal one is just our, goal two might be go easy on yourself. Don’t think you have to build the next Uber or next Microsoft with your first company. Think of it in terms of training for a marathon. And your billion dollar company is running to the marathon, right? You need to do things leading up to that.

The easiest place to start a new business is a service based company. There are so many opportunities in this country right now. It’s astounding I think of anything, it doesn’t have to be super exciting. I mean, it could literally be a landscaping company. It could be a house cleaning company. It could be a painting company. People out there are desperate for services. As a quick example, my wife and I are going to remodel our basement. We’re adding a bedroom and a bathroom when we initially got it quoted about 18 months ago to now, not only have prices gone up, about 220%, we had to bring out, like 15 contractors to just find one contractor that wanted to take the project on.

And so there’s huge opportunities out there for people to just start really good service based businesses. Not only I think is there sort of a lot of opportunity from a work standpoint. I think a lot of people out there think that it has to be this big, grandiose thing and it really does not. So start a service based company, get good at it, deliver great customer service. Build a business number one, potentially get yourself out of the rat race. You’re able to create a job for yourself.

You’re able to create income for yourself. Maybe you’re able to then have an exit and sell the business and you use that capital to start your billion dollar company. Or kind of more like I did. I got the service based company to a good place. And then I came up with the idea for my billion dollar product based company. I hired somebody to run my service based company for me. And then I went full time on the product based company. So you open up a tremendous amount of freedom for yourself.

If you just are owning a business and just running a business, just start. Go easy on yourself. Consider service first and focus on coming up with your billion dollar idea while you’re already working for yourself and making money.

That doesn’t inspire people to just sort of take a breath and think about what the possibilities are. I don’t know what is. So, Rob, thank you very much. It’s been a real pleasure. Thank you for writing me out during my technical troubles here today. If people did want to get connected online or elsewhere, what’s the best way they can do so?

Yeah. Feel free to just shoot me an email. It’s rob@valyant.ai or find us online or any of our social media sites.

That’s a beauty. Excellent. Rob. Thank you very much. Lots of great lessons. I’m bullish on the possibility for Valyant. I like what you’re doing. And as they say in the world, you bet on three things the three Ts, team, TAM, and technology. And the reason it starts with team is because you can tell when somebody has potential in something you don’t even need to know where something is, but you know somebody’s got the potential. I would bet on your team.

Thanks, Eric. I really appreciate it.

Excellent. Thanks very much.

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Ted Harrington is a best-selling auther of a book called HACKABLE: How to Do Application Security Right, and an Executive Partner at Independent Security Evaluators (ISE).

ISE is a company of ethical hackers most commonly known for our work hacking cars, medical devices, web applications, and password managers and they’ve helped hundreds of companies fix tens of thousands of security vulnerabilities, including Google, Amazon, and Netflix.

We discuss the challenges of security in every day tech, enterprise and personal infosec practices we can all embrace easily, and why it’s so easy to slip on security but equally easy to prevent hacking.

Follow Ted at https://tedharrington.com and check out ISE at https://ise.io 

Sponsored by our friends at Veeam Software! Make sure to click here and get the latest and greatest data protection platform for everything from containers to your cloud!


Sponsored by the Shift Group – Shift Group is turning athletes into sales professionals. Is your company looking to hire driven, competitive former athletes? Shift Group not only offers a large pool of diverse sales candidates from entry level to leadership – they help early stage companies in developing their hiring strategy, interview process and build strong sales cultures that attract the best talent for early stage companies.


Sponsored by the 4-Step Guide to Delivering Extraordinary Software Demos that Win DealsClick here and because we had such good response we have opened it up to make the eBook and Audiobook more accessible by offering it all for only 5$


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Need Podcast gear? We are partnered up with Podcast Gear Pro to share tips, gear ideas and much more. Check it out at PodcastGearPro.com.


Justin grew up reading computer magazines and built PCs for a living in college.

His obsessive curiosity for leveraging technology to advance businesses led him to create the first digital PDF signature tool ‘SignMyPad’ before Adobe and DocuSign came to market. He launched a tech consulting company Virtua Consulting Group which has grown double-digit percentages every year since 2008.

We cover everything from the app economy to building up your side-hustle, the challenges and advantages of bootstrapping, and how you can outsource a lot to get you growing. 

Check out Justin’s book here:  https://amzn.to/3zjocC0  

Visit Virtua Consulting here: https://www.virtuaconsulting.com/ 

Sponsored by our friends at Veeam Software! Make sure to click here and get the latest and greatest data protection platform for everything from containers to your cloud!


Sponsored by the Shift Group – Shift Group is turning athletes into sales professionals. Is your company looking to hire driven, competitive former athletes? Shift Group not only offers a large pool of diverse sales candidates from entry level to leadership – they help early stage companies in developing their hiring strategy, interview process and build strong sales cultures that attract the best talent for early stage companies.


Sponsored by the 4-Step Guide to Delivering Extraordinary Software Demos that Win DealsClick here and because we had such good response we have opened it up to make the eBook and Audiobook more accessible by offering it all for only 5$


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Kirk Marple is the CEO and Founder of Unstruk Data, a new company that is Building the industry’s leading Unstructured Data Warehouse for automating data preparation via metadata enrichment, integrated compute, and graph-based search.

We discuss the approach to customer-led product development, being a tehcnical founder, pragmatic product management, and the role of being a founder and CEO during the early years of a startup. Thank you for the great lessons!

Check out Unstruk Data here: https://www.unstruk.com/

Connect with Kirk on LinkedIn here:  https://www.linkedin.com/in/kirkmarple/

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Chris Hull is the Co-Founder and CPO at Otus. Otus is the first edtech platform to centralize learning management, assessment, and data for educators, students, and families. Chris was also named a “20 To Watch” Educational Technology Leader by the National School Boards Association.

Our conversation spreads across both the challenges of education, remote teaching, empowering students and teachers alike, and how Chris became an effective founder and CPO (Chief Product Officer) by leveraging learning and a great team.

Check out Otus here: https://otus.com/ 

Connect with Chris on LinkedIn: https://www.linkedin.com/in/chull9/ 

Transcript powered by Happy Scribe

Chris, thank you very much for joining us. I’ve really, really loved the idea of the problem that you and the team at Otus are solving. And I really want to kind of go at two interesting angles of our discussion. One is, of course, what’s the problem that’s being solved? How are you doing it? And kind of like, why is this an important piece and your place in the industry?

And also is a CPO, right? The chief product officer is an interesting title and it’ll be neat to go into the background of what led you to that role. So anyways, before we jump in, for folks that are new to you, Chris, if you want to give a quick intro to yourself and Otus and then we’ll start diving into the story.

Definitely. So I was a former seventh and eighth grade social studies teacher. I was really focused on helping my kids learn to the best of their ability. And I was really honing in on that problem. How do you maximize learning for each kid? I would have about one hundred and fifty students every year, and I started to use technology as a tool to help me do that and a variety of ways using. Online applications, finding ways to have my kids become more engaged, and I was lucky enough to be a coauthor to a grant that brought one device to every kid in 2010.

And I thought that providing every student a device would completely change my life and education and really allow me to impact every single student. However, upon the rollout of the one to one device initiative, I quickly learned I was pretty naive back then. I still am naive. I was pretty naive back then because it quickly became apparent that technology can actually expose inefficiencies within a system or a process. And that is what happened. I quickly learned that there were inefficiencies between collecting data, getting information about kids, we call it, articulating data from one teacher to the next or from one grade to the next.

There was inefficiency there and there was no system that really allowed the teacher to understand or get to know kids in a way that was really powerful and efficient. So I was lucky enough with two other co-founders to start OTUS. And we really focus on providing the tools to help teach, which is again facilitating, learning, giving activities, connecting to content grade, which is the ability to measure learning, understanding what a kid is able to do and what a kid needs to grow and get better at Analise, which is the ability to take information that might exist outside your classroom.

It could be national assessments. It could be passions or interests or things that may be the were found out by a teacher from a year or two ago. Analyze all this in a single place and then plan, which is our final thing we helped do, which is really to monitor the progress on initiatives such as like skill building or behavior or civics, or if you want students to be good kids, being able to monitor their progress while they’re in your district.

So with that, we have a platform that really focuses on the efficiency of the student teacher relationship and then also transparency for families and administrators into the world of their students. At the administrative level, we really can aggregate the data to look at cohorts. So a group of kids and then four families. Again, I have four kids who are very young. If I ask them how school’s going, they’ll tell me, fine. If I ask them what they’ve learned, they’ll tell me stuff.

If I had high school students, they probably might use different four letter words that tell me how things are going. But really we focus on a platform that is able to provide a comprehensive understanding of how a kid is doing. And by having that information about one kid, we can also aggregate that to the groups of kids so that if we need to find trends or things going on and we do that providing the tools to teach, grade, analyze and plan.

So the thing that really stands out to me about this story and, you know, the problem solving is a real disconnect sometimes. And when we talk about like I’m I’m from the startup world and from the business world and we talk about customers. Right. And when you’ve got a system and the first thing to do is identify this customer and in effect, it’s it’s your student because they have a customer journey from K to 12 and you’re their progression follows them through that versus I’d say a lot of the problem, like you talked about, like even in person learning and the general school programs is there’s not clean hands, there’s not transparency of the journey from that that child.

Like we we go to the paper copy and but like you said then it doesn’t go to the parents, then it doesn’t get shared between administrators. We can’t really use data to drive a positive progression for that student. And I love that. But like you said, the digital experience can add this now. All of a sudden you’re like, oh, I can see that literally and agreed to this child, struggled with this thing. And then we formed a plan so that in grade six, they’re in the right spot where they need to be.

But right now, I feel sometimes that teachers are basically looking at getting through their year with their class and once the class is gone, that’s kind of the end of the program sometimes.

Yeah, I think you hit on some key things, right, if we look at the the product world, if we look at something like JIRA or a CRM or I know I’m jumping around, but the idea is those systems are trying to provide insight into what’s actually happening. If we look at some of our eses and why do we use JIRA when we’re using Djura so we can track projects, we can see how things are going, we can identify obstacles.

I think one of the key things I’ve learned is many of the best practices that are happening in product are what really happen in the classroom to it’s one of the reasons that the the jump from the classroom to the CPO role has actually been less bumpy than I would have thought. Because you want to know you want to identify things early. If there is a blocker, you know, typical stand up. What did you work on yesterday? What are you working on today?

What blockers do you have? That same approach works with students like what’s your blocker now? Sometimes a blocker can be for a child. Maybe they’re struggling to get to school on time. Maybe there’s something going on at home. You know, it’s not always like why I’m struggling to understand who the answer the basic question of who is this article about now? Sometimes it’s more than that. Maybe they’re hungry. Maybe there are things going on, but there is the same thing can happen and product where you’re trying to identify is there a blocker and the processor in the system?

And this is where in an organization we have several product teams for our delivery side of the house. Well, if there is one blocker we have one of our teams is called the assessment team. And if they all of a sudden encounter a blocker, we unblock them, we solve it. It would be a failure of our organization to not share that solution with the other product teams. Right? Oh, this is how we unlock. We have this problem.

We are struggling with a PR. We’re struggling with something around that. And it’s like, oh, this is how we unblocked it. The same thing happens in the classroom. Everything, unfortunately, can be very siloed where if I’m a teacher and all of a sudden I have a student who’s struggling with. Complex text or maybe struggling to get engaged in a school if all of a sudden have a solution. It would be great to note that solutions so that if the student or another student ever encounters it again, we kind of have that in our back pocket.

And education does this in a really great way. I’m not saying it doesn’t. There are things called like places, but so much of the student information is siloed that it doesn’t carry on. And again, if we look at I mentioned earlier, like a CRM, like a Salesforce or any other one out there, we have things about the client. Right. So if all of a sudden our main contact is really into football, let’s go soccer.

You might mention that, hey, a great way to get them to open up and talk about soccer or hey, they really enjoy this type of food. All of a sudden it’s like those hints can be like to send a thank you note. They really like coffee and they really enjoy this brand. It’s like those secret things that you can put into a CRM or, hey, this is where they’re at in their process. It really helps continue the handoff within an organization so that you’re able to really maximize what’s happening for each person and client, customer, user.

They’re all the same, right? You’re in you’re engaging in interacting with someone and you’re trying to help them be successful. And that’s what we want to do for students. We want to help them be successful in their goals. And to me, that’s really learning how to critically read, write and think, having them become successful and what they’re passionate about.

Well, the advantage you get to when we systematize this process is that you can take the system and you can scale it outwards, right? You can now introduce it to other areas. I think the other challenge we’ve always got, especially, you know, we’ve got I’m Canadian originally. I’m living in the United States and we’ve got, you know, massive populations over massive geographies that act fundamentally different based on a variety of different scenarios. So they don’t tend to bring systems between them.

But meanwhile, they may actually have a ton of similarities that they could like, just say, OK, let’s just worry about the edge cases, but you can identify the cases if they’ve never seen outside their bubble. So you’ve you’ve really hit on a ton of interesting things. And it’s funny your language. You’re for an educator. You’ve got you sound like a great software developer. You’ve really seem to have tapped into both sides. And this is why, obviously the CPO is a great fit.

Now, when did you sort of decide that tech was a way to solve this problem, Chris, in the specific area that you wanted to hack into?

Yes. So I always thought I’m not the greatest technologist. It’s one of those things I’m constantly learning. I have an amazing team. I have a product manager, Zach, who is absolutely incredible, helping me learn along the way. Same with our CTO, Cory. They’ve really been amazing to help me learn because. There are these parallels, but to me, I was always a technologist in the way that I always wanted to become more efficient. I would sometimes say I always wanted to find the hack because trying to grade one hundred and fifty students papers is just really time consuming.

How can I save time but still do a good job? So I always looked at technology as a way to help me become more efficient, and that could be something like we’re going to use a platform to be able to better track something or to be able to better monitor something, or it could just be like we used to on our first. Technology we added to the classroom was actually first generation iPads, and we had a really simple problem, which was.

How do you put an iPad on a desk and how do you do that with twenty five students so that it’s not just laying flat? Well, my colleague, the other quote, the coauthor of the grant, came up with a great idea. And to me, this is always like a symbol of what technology can be. He took to doorstops that were like the triangles, and he created this little desk and we had a couple of pieces of wood, we had a wood shop, we could cut them all of a sudden.

Twenty five sets of doorstops created little stands on everybody’s desk. And now all of a sudden, they were the right angle. You could kind of type on them. And all of a sudden that was a source of technology. We took triangles at a certain slope and now we have these little stands for everybody’s desk and they could be movable. You could, like, tilt them a certain way. They were really great. Now, that was like, again, a piece of technology that helped do the job.

And one of the things I think has always been a lesson I’ve learned is if you’re just using technology for technology sake, you’re losing sight of what you’re really trying to do. That actually happened to us when we first rolled out our iPads in our classrooms. It became all about like, hey, look at this cool technology. And we were logging in to 15, 20 different applications and we’re logging into these applications. And it’s like we lost sight of our goal, our priority, which is helping learning.

And so I really like to look at technology not as what’s the latest and greatest, but what is going to help us do our priority or our goal or objective better. And I’ve been lucky enough to. Learn some of those things that have helped me in the from the classroom to the CPO about building a culture, setting a North Star or an objective, and then letting people really get there on their own, not by themselves with a guide, but not always giving them all the answers, because I have found that when a team is able to.

Discover and craft their own solutions, they have more ownership in them, and that ownership autonomy really allows them to thrive and succeed versus them going, oh, here is our process. I have to do it, and now it’s like harder to iterate on it. I really think the best, the best solutions allow for iterations because no one is going to nail it perfectly the first time.

And it’s very interesting, too, because, like you said, we seem to think like, oh, we’ll put an iPad in every student’s hand and that will that will be the solution. Like, no, that’s like saying cloud computing is the solution for business. Like it’s a path to the solution. The actual solution is how you leverage the tool, how you use it. And all of a sudden you’re you’ve got five browser tabs, two applications.

And in fact, you’re degrading the experience because now this child has you know, we’re really exposing attention, challenges and our acerbity on the right spot when we’re looking at. But it’s very easy for, like you said, for us to say technology for technology’s sake. And it’s it’s tough sometimes to be able to step back. And I guess we call it sort of the curse of knowledge that when you’re a power user of something, you just think like, oh, well, I use my iPad all the time.

It’s my I get on a plane, I have my book, I have my email, I have my three things that I need. So therefore, anybody could be handed an iPad on a plane and it’ll be productive for a three hour plane trip. And that’s actually not the case, but very, very easy for us to lose, especially with kids like because their iPad, when they go home, is a different, fundamentally different experience for what that iPad services.

So to suddenly give it a use case and a box around how you’re going to use this tool, it’s a it’s a really interesting and tough challenge.

Yeah, I think that’s where you have to have the clear objectives, right, and I, I know your audience is much more on the product side, but I always have found to be quite the the buzz word with certain people, like certain people, like I don’t like it. And I always have come to if you have a bad process and you try to put it into, juries are just going to make that worse. It’s going to expose all those bad things.

And that’s why a lot of people will tell you when you start with Djura, it’s always better to start super simple and then build it out over time instead of trying to overengineer it. And I think the same situation comes with the iPad. If all of a sudden we use your analogy about the plane, if you all of a sudden or let’s take the iPad and give it to a student, if you let the student decide what’s on their iPad, I’ll tell you what they’re going to put on it.

They’re going to put some really fun games that are going to be highly entertaining, but very distracting to learning. And if you kind of give that carte blanche out there, it’s like, oh, OK. But if you work with the kid and you say, OK, I think even games on the iPad are OK, I would sometimes have in my classroom I taught all the way until twenty eighteen. I would tell my students if they were productive, if they were productive, for we had 40 minute periods oftentimes if they were productive during the week on Friday, the last five to ten minutes of the final day, we would watch a funny video which I had reasons for doing, that there were students submitted.

So I kind of got to know the kids in a fun way. And then also I would let the kids sometimes on their iPad, take five minutes, play a game performance. That’s that’s OK. But again, the goal has to be clear. Like this is not the purpose of it. But yeah, you can have a game, but download the download the right books, make sure you have the right tools that allow you to like what you focused on.

We did a lot of writing, so we did a lot of Google Google Docs, but it really becomes interesting without that clear goal. Yeah, I’m going to use it for what I’m interested in and then that can really take you in a lot of different directions and cause yeah. You give somebody something for their plane trip. Hey, use this on your plane. Well, they might play solitaire all the entire time. They’re not getting that productivity right.

But they used it. That’s really by defining what the goal is, is really helpful.

Yeah, well, it’s funny you mentioned Jeeralang. That’s a classic thing we bump into is that the tool doesn’t solve the problem. Like, yeah, it’s like saying like running doesn’t cause any problems. It finds them right. Like if you’ve got something it will immediately surface when you do certain things. And like I said, applying a workflow tool like a JIRA, a ServiceNow or something like that, even any automation process is I’m a I’m a king of of hating being doing the same thing repeatedly.

So I’m lazy in the greatest way because I want to automate as much as I can. But immediately, once you have to, like, systematized that thing, it makes you stop and say, OK, what do I actually do? And you realize, like when I say I’m just going to go and grab this file and put it up on the server and that’s it, then it gets read by the system. You’re right. It’s like, oh, now I save it, I export it.

I add some stuff to the end. I do a search and think, oh, wow. And now all of a sudden you’re like, it’s good to visit because it allows you to say, do I need to do it at this stage? And sometimes you go to real first principles and say, like, well, what are we actually trying to achieve? Student needs to get content. Content is here. We need to measure the effectiveness of how they get it and how they use it.

But it’s hard because. Look, of any system that’s got Whalsay legacy as the coded system right intact, we always talk about legacy systems. How much more legacy and effect is our education system and not legacy is bad. But I mean, legacy is really just it’s been evolving very slowly for a long time. So it probably was even more challenging to suddenly come in and say. I’m going to put some questions to how we’ve been doing it for a couple of hundred years.

Yeah, I think that you get you hit on something where I think legacy is sometimes seen as bad, but it actually just become such a I sometimes referred to this will seem like a really bad comparison, but it’s kind of like the Titanic, which now legacy has that really bad. But in some ways it’s so big and it’s just been added onto so much, it’s really hard to turn it and become very navigable. It’s hard to move it around.

And one of the things with learning, teaching and learning needs to be more agile and not as waterfall approach because things change. And this is where I think one of the things that OTUS does help with and not trying to be on the sales soapbox too much. But one of the things that has happened in education is for administrators and the people who are kind of managing all of this. Their feedback loop is really long, it can be almost a full year where it’s like, oh, this is how we’re doing, this is how it’s going, and it’s almost like a full year passes like this is how third grade what what are we going to do differently for third grade next year?

And what Otus is trying to do is we’re trying to provide the tools all in a single place. We’re trying to collect the information efficiently and in the background to teachers. And students are just doing their thing of teaching and learning. But because we’re collecting that information and making it transparent to all the stakeholders, we want to shorten that infinity loop. We want to basically that feedback loop. I call it an infinity loop, the feedback loop. We want to shorten it because if all of a sudden we have these goals and we’re monitoring them regularly, all of a sudden you’re able to measure, you’re able to build, you’re able to adaptable.

And that is what other industries have done. So effectively, the idea is the waterfall approach. Why was that so problematic? Well, by the time it actually went out, things changed, things adopted. You misread something you weren’t able to iterate as you went. And when we get to this more agile approach or this approach where we’re able to do things in shorter, you don’t want to release once every year. Right. You want to release as quickly as you can.

Now, some people could debate how often is good for the user, but that, like the idea is once a year is not often enough. And in education, it would be great not to over measure. I don’t want to test a kid every single day, but observation, observations or measurement. So if I am adapting and iterating and able to tweak what I’m doing on a daily or weekly basis, that’s really where your best teachers are at because they’re able to find where the kids that find out what those obstacles are, find those blockers, adapt and then continue to see improvement over time.

And if we can get schools to. Be able to help students that way, but it also one of the things I think OTUS also helps do is it helps with the professional development. We had talked a while earlier in the conversation about how. If let’s look at a product, if you’re a product leader, you’re a team or a program manager and you’re trying to solve something, your toolkit has to be like so big to solve every problem out there.

The same thing happens with teaching. But if we’re able to pinpoint what a problem is, hey, students are struggling, multiplying fractions. OK, we have a very specific problem, multiplying fractions. It’s hard. What are things that we can do to help with that specific goal? Well, now, when I’m giving professional development to the teacher, how do I make the learning of multiplying fractions more fun and happening faster? And the same thing goes like if all of a sudden in the product world, if we’re struggling with the collaboration between you and developers and we want them to be more collaborative so that.

Are you are you are you X components are being built better. OK, that’s a very specific problem that we can figure out. How do we increase the collaboration when building out a component between a developer and you? X Well oh let’s do pair programing or let’s have we added a column to our job board where we call it UTI so that it’s actually being checked for that. And one of those things that happens is like, OK, now you can solve this specific problem because it’s not, hey, we’re having inefficiencies with our delivery.

Well, what is the inefficiency? What is so when you’re able to pinpoint it, you’re able to better solve the problem, but you’re also better able to collaborate and also build out that toolkit so that it’s not just all these general uses or general ideas.

You’re the teacher I wish that I had. It’s it really comes through No. One, Chris, the passion of the way that you’re approaching the problem, plus the fact that you’re able to see beyond. Like I said, you’re the the phrasing that you use, the description of the challenges and the solutions. Like you you you may not feel that you’re as comfortable necessarily on the technology side, but you’re fantastic compared to a lot of folks that I find that being able to bridge between, like understanding the problem and living the real lived experience and then bringing that across and then building a solution for it, you’ve really, really crossed that that river beautifully and that you can still see both sides of it effectively.

And that’s it’s a rarity because quite often we have just purely like systems thinkers and then we hand them user stories and we hand them things and and it comes back as the old even like the waterfall. Project Management was the classic joke. Right. They’d show the like the little eight, you know, caption cartoon. And it was like what the user asked for and what the user wanted. Know what the project manager thought it was, what the developer thought it was.

And it was like a swing. This all the kid wanted was a tree swing. And it’s like all these different iterations. In the end, it was just like a piece of wood laying on the ground with a rope hanging from a tree. It’s it’s really interesting that you really, really understand both sides of the experience. So how did that come to be? Like I said, because your background is is obviously an education and you’ve got a really and your education wouldn’t tell me that you’re a solid on the on the tech side as you are.

Yeah, I think that it comes from. I appreciate the kind compliments, it’s sometimes hard to hear, but I do try to understand what I do well and what I don’t. And one of the things that I have found is I was a political science and world religions major. I really enjoy learning how systems and processes work and how they impact the individuals involved and also understanding where you best fit into the puzzle. And so. I am pretty good at seeing the ninety thousand foot view I can I can really see it.

I can set I can understand what the market is doing. You mentioned, you know, the tree swing. You know, one of the things that we’ve been talking about is not always doing exactly what the customer wants, but instead we really like to bring out what are the problems that are causing something to occur. And the question that I always like to come back to, it’s a broken record for me, but it’s what is more difficult than it should be.

And so really focusing on the problem. But what I really learned is that the details do matter and building out a team to kind of complement those. So like our product manager, Zacky, is, he’s got the best he’s the best at details that I’ve ever come across and having him work with me and then also working with we have a great UX team and we’ve identified some of these key things like UX is essential. You know, the technology literacy in education really spans the gamut.

It just is huge. Like you have students who are amazingly tech savvy, like they can figure stuff out. But there are some teachers. I had to help install apps on their iPhone and there are others that could do anything way better than me. So it’s like understanding what is going to be needed, building out these specifications, but then also really relying on the people who are experts like our CTO. Corey is incredible. He helped. He helped really another startup in education really have the good core and skeleton and understanding that we have team lead.

So we have team leaders across the board. We have one for assessment, one for all of us. We have all these people who have these expertize that I don’t know, we have one of our our alums lead. His name’s Colt. He’s he was a great experience and internationalization. I can understand what the term is like. Oh, OK. We got to internationalize Otus. We’ve got to localize the product. Like, I can understand the high level, but.

Implementing it, I that’s not going to be my strength now, setting the vision of why we want to internationalize, we want Otus to be able to be understood again efficiently for all stakeholders. Well, there’s a very diverse group of families out there, and it’s important that education can be hard enough to understand when it’s in your non-native language. Let’s bring as much as we can into their native language. Let’s help this all stakeholders get onto the same page that fits our vision.

Then you hire the people who know it and then you build in the structure to allow them to do it and. I think that I’m constantly trying to learn, and I think it’s been amazing to have the team at Otus really helped me do that and they really are the experts. One of the things that I often will say is. Otus’s in education technology, which is also often referred to as EdTech. And I really don’t like that term as much, because I think ADTECH often means you’re short changing one or both either tools are super like, wow, the technologies really knew what they’re doing.

This is so impressive. But they didn’t get the educator point of view or to be the opposite, where it’s like, oh, man, the educators clearly. We’re helping develop this, but then they won’t be as stable or scalable or all of a sudden it’s like man who designed their UI, UX like it’s like one of those things where I really want us to embrace the skill set of both. We have about a third of our employees are former educators.

I want them to have a voice and that educator voice, but also with people who aren’t educators but are parents or family members. OK, what would you need from the system in that situation? And also the technologies? How do we build scalable solutions? How do we have data portability? How do we have security, all of those things? I’m not going to be able to speak to other than OK, that’s important. Let’s make sure we take the time to do it.

And I think it’s understanding what you are able to do and understand where you might have room to grow and then finding those people who can teach you and taking the moment and the time. I guess it’s more than a single moment because learning for me takes a lot longer than it probably should. I really have to have conversations, ask questions that are sometimes. Pretty silly, you know, it was one of those things just today we were working on some of our load testing in terms of next year, and we came up into a situation where it’s very technical for why it wasn’t giving us like the same results as we expected, and it was why.

And then I had to ask like two or three very clarifying questions because we were using a small subset of accounts to extrapolate over. Right. Taking a thousand accounts and make reusing them ten thousand times. Well, that caused our systems going to react differently when the same thousand users are signing it all the time instead of it being fifty thousand four hundred thousand unique users. Well, there was a technical reason for that. I looked a little silly as I asked my questions, but again, it’s being willing to know and the team knows that I’m in it for the right reasons and they’re willing to help me learn and then it clarifies it.

And now next time it’ll make sense. And it’s one of its venturing out. I like to say risking failure while striving to be your best. Striving to be my best. But I was risking failure and asking a question that I probably should have been able to figure out.

It’s it is good to have the humility to bring that question to the room, though, and this is something that we often struggle with. This is a human tendency of like, well, I’ve got to I think this is going to be a dumb question. So you hang on to it. And in fact, sometimes it’s people. Oh, OK. Well, actually, now that we say that right, we’ve we’ve reused a thousand accounts. It’s going to perform differently than if we took ten thousand because there’s a diversity of life.

So there are genuine reasons why that needs to be brought up sometimes. And the good thing is the comfort among the peer group and the team in being able to say it’s OK. Right. We often have this thing of culture as we talk about in team culture is the success in culture is the ability to feel like you can fail and you can fail with this group and be comfortable that it’s a learning experience, not a punishment experience. It’s it’s something that, you know, when you choose your co-founders and your team, you have to stuff you find out in practice.

Right.

Right, right. I think that’s where a culture like that’s the biggest parallel to me that really has opened my eyes is that is what a teacher does, right? They’re building a culture of learning with their students so that. You need them to be able to ask questions. Can I work with seventh and eighth graders like they’re not going to know the history of all that’s going on? That’s that’s not they haven’t had the opportunity yet. But you have to build a culture of understanding, a culture of community where they can ask that.

You know, I always had I had three guiding principles that I use everywhere from for my own kids to Otus to to my classroom, which where, you know, respect, honesty and then strive to be your best while risking failure. Those were the three. And it’s been interesting because that same culture building is exactly what happens on product teams or in. Specific components and we use teams a lot, we have product teams, but then we have platform teams, so it’s sometimes use of teams.

When I’m talking to external folks, it makes me sound a little little team happy. But the idea is like the UX team needs to be able to collaborate with the front end team and the back end team and our data team. But they also have to be one group on our product team, which is like assessment where we have multiple members on. And it’s like that type of camaraderie and that problem solving, the open problem solving and communication only occurs with the right culture.

And it’s the the culture thing is interesting, especially in the classroom, too, because, you know, in business, we’ve people generally have a long view of how they’re going to fit, you know, in the in the educational system. Well, let’s say you’ve got twenty five kids and one teacher. They’re basically looking to just survive nine months together. And because there will be a brand new cohort, a brand new selection, a brand new pool.

So the culture has to be discovered, evolved and then sort of measured for success and hopefully capped off with, you know, everybody feeling good about how they what they took away from that nine month experience into the following year so that when they see that teacher in the hall, they’re like, oh, hey, Mrs. Johnson, you know, hey, Mr. Hall, how’s it going? You know, versus like, oh, boy, I missed your whole last year is driving me crazy is a real he was a real hard nut around math.

You know, it. So culture is it’s very interesting that in the education system. It’s as a as an educator and then as a somebody who’s bringing in systems into that seeing that experience, then ultimately probably play out in data. Right. What data have you seen now through OTUS that’s kind of taught you lessons about that, the real in classroom experience.

Yeah, I think that I think data, you know, sometimes a four letter word, but information, right, is when you really are able to pull information, you really find that there are connections or correlations between things that are happening and, you know, behavior and attendance and engagement really do impact learning and. Having a teacher able to focus in on a couple of very specific things you need to get better at can really drive great improvement and that improvement can really be seen across the board.

And the data can really show that where if you have a. A teacher who does a really good job of driving engagement, really getting the buy in, and then you can put in the work to do learning, because to learn is an action that requires effort and that that effort is important. And so when you can really get to that real crux of learning and let’s say you really have been able to identify the main point in informational text. You’ll see those benefits in in science and social studies and all of these different areas, and it’s such a cascading effect where you’re really building these essential building blocks that really can impact their entire performance throughout the day.

It can even impact their performance and physical education if you’re able to understand informational text. Well, now, when you’re being asked to learn the rules of a new game, you’re able to pull out the main points to such a better degree. It really has been amazing to see how the data really does show that and it’s not always easy and I think there are successes. I also think the data shows that it’s not this like straight line. It’s not even like that in the other spaces of technology where you want that hockey stick approach.

That’s not that’s not what happens in education in some ways. A lot of times it’s like two steps forward, one step back because. Kids are just complicated. They’re just really something that takes time to be able to unlock and then for them it’s almost like, oh man, I had two great days and then you’re trying to replicate it. Well, now some a little different was something said on recess with something set on the playground. Did something happen at home that they if they were on a sports team, did something happen there?

And so. It really is one of those things that when we can. Collect more comprehensive information, we can pinpoint when they need something. Maybe it’s just a conversation, maybe it’s just. One on one time, maybe, I’d say we just got like today is a rough day, we got to be a little bit calmer or more understanding empathetic today. That was the word I was looking for, empathetic. I think the information can provide those insights.

And I think that we’ve seen when you really are monitoring things, you can you can get better overall growth, even though day in, day out, it might be a little bit more. Two steps forward, one step back. But if you’re monitoring it, you’re able to really identify. We’ve got to step back. We’ve got to really push forward now. Whereas in the past, you might all of a sudden only be looking at something data wise every three to six months, and then you might have missed something that could have been uncovered.

When just like many software or applications or whatever it is, you’ve you’ve got the consumer, the people that are actually involved in it, the people that ultimately buy it, and we talk about the user persona, the economic buyer persona. We’ve got the in the consumer maybe that, you know, the educator and then ultimately the student. So. How do you how do you bring those personas together and make sure that they’re all kind of in agreement on what you’re measuring?

Because I I know one of the challenges we’ve often had in education is this idea of like standardized testing, like, well, this is it’s a very distinctive and regional unique thing, but it’s not really. But there are enough idiosyncrasies and oddities and differences. Maybe it’s better a better way to describe it. So when you bring anything, that’s a system. Like, how do you where do you find the resistance’s maybe in people taking it on?

Yeah, I think this is where we’ve really we have an amazing client success team and they really work very closely with our districts. Because they’re the they’re the people making these decisions, we have a really flexible platform that can measure. What a district would like to measure, it’s very adaptable, so we really work with the districts to make sure they’ve identified what you want to measure. Let’s define them, let’s expand on them, let’s make sure they’re explained well, and then our system can then go in and do that and.

Because of that approach, I really think that we’re able to. Have the client feel success at the end of the day, our clients are the districts, but the districts are serving students and teachers and families. So that’s why we kind of need to incorporate it. But we’re there to that. We’re the tool to support the district initiatives. We are the tool of the district. The data is the districts, and because of that, we need to make sure that we are accountable to what their goals are.

And that really comes through a really great process we have of discovery of what are you looking to measure? What are your end goals? How do we get your path there? And we’re really shaping that customer journey with them because of how adaptable our system is. But it really does cause some challenges because it can be moving. Education right now is going through a huge transformation. The pandemic is one reason, but also there is this call for. Accountability and standards and these common assessments and this common movement and maximizing learning and districts are figuring out how to get there on their own in each person’s implementations, different depending on the state and federal situation they’re in.

But it has caused a couple of curveballs to be thrown because all of a sudden the district, we could have a plan in place and then halfway through the we need to change and adapt and pivot and then say, OK, we’ll pivot. But we might not be collecting. We might not have been collecting C, not because Otus can’t collect A, B and C, but because they weren’t inputting the data for A, B and C, so therefore we don’t.

So it gets into these things where it really does take careful planning, careful conversations, and really it’s exciting to be able to do it. But it is a learning process has been it’s been a great opportunity for me to talk to districts, our team. We have an amazing former superintendent who leads our team. His name’s Phil. He does a great job, his entire team does, to have these conversations. And one of the things we really believe in is we want conversations to happen as often as possible.

I’ll join them. Oftentimes we have a UX researcher who joins them to collect so that we can kind of identify trends that are taking place. That kind of I think I loosely answered your question, but that is the challenge is districts are currently. Providing what is their path forward and there is some changes on the way because educational administration is going undergoing change this past year for superintendents across the country, it is a very difficult one. I don’t think they were in a no win situation because they had constantly changing CDC guidelines.

They had constantly changing what are we supposed to do with the pandemic? And they were unable to focus as heavily as I would hope on learning, but because they had to focus on the safety and security and the well-being of their staff and their students. But it was one of those things that it’s too often the case that schools are unable to focus on the learning and they’re instead being distracted by things that are that are the administrative tasks that are important but are not the core, the priority that I think schools should serve, which is helping maximize learning for every kid.

And that really is the goodness gracious like of all things that we faced as a society in the last 18 months has tested us in ways that I hope that we gather solid lessons from it. And and it’s like I obviously anybody would would give up any lesson to not have had the experience. Don’t never of course, this isn’t a trade off that we ever wanted to make. But when faced with a and a trade off that we didn’t have a choice and know being suddenly remote.

I’ve been a remote worker for years. And somebody said like, oh, this is this is must be what it’s like to work remotely. I’m like, no, very different. Right. Like suddenly remote is not a remote work experience that you you interact differently. Hybrid is different. As we then go back to now bringing education into a combination of I think by September, hopefully we’ll have stabilized and everybody will be back in the classroom. But like, let’s leverage what we learned about the digital experience and how we can empower kids through some remote tools.

Because when I was a kid, I was in grade, you know, I was in grade school and when I went into high school, I got mono. Right. And this is like the classic thing. I, I missed a lot of school because I wasn’t able to go. And I lost an entire year of school because I missed enough education days and there was no remote learning. So that was it there. Just like you’ve missed too many days and so you have to lose your year.

So I lost a bunch of courses and then I went back kind of grudgingly and got my my last year done in one semester because we just switched over to semesters. And it was so now I think if I’ve got these tools, I’ve got ways that we can measure the health of their home experience and hopefully bring it into the system. But we can empower every kid to be successful for that year and beyond, right?

And I think that’s the thing. Right. And I I really am reflecting on my comment, like educators have done such an incredible job this year. But the task they were they were faced with was so. So daunting, I’m actually the superintendent of my students district, my sorry, my kids, my my kids district is also where I taught he actually hired me. They also use OTUS. It was one of those things we’re talking to him like the challenges he was facing between there would be a CDC announcement at like noon.

Then the mayor of Chicago would make an announcement or the governor of Illinois would make an announcement like 90 minutes later. And he was then tasked a minute after all of that. Well, what are you going to do? And I’m like, he just got like a bucket of information. How is he supposed to process check with X, Y, Z? But now he’s being asked, like, what’s what’s the reaction? It’s like to have to do that in real time.

Like educators and superintendents, they were they were facing problems that I don’t think anybody could have ever foreseen. So they had so much time and energy focused on the health and safety of everybody that. In some ways, education, like the learning, took a step back and it’s like, OK, how are we going to address? Because you made some good points, right? Like Bono or or kids who need to be home, like, well, now you can do things.

I don’t think it’s good to be doing them. And endlessly. I think there is a huge place for human connection, for being a person, for collaborating. Again, I have very young kids. My oldest is seven. I think it’s really important to understand, you know, but it’s also one of those things where. I would teach again, 7th and 8th grade, I had 40 minute periods and I would tell my you know, I tell people it’s like.

Teaching and learning is not happening all 40 minutes every day week, you know, five days a week, 40 minutes a day, that’s not all we’re doing. We’re doing connections. We’re doing culture building. We might be doing. Icebreakers, we have to get to know each other, we have to do that culture building, we have to I enjoyed going on some tangents if it’s going to help develop critical thinking skills. And it was one of those things where with everything being on Zoom, it’s like, OK, what are the expectations?

You know, it was one of those things that is very fascinating to me. And if we can really focus on the learning, I really think we can take things away that were we faced during the pandemic.

And that experience of being remote and on video, it’s especially for the durations that you’ve got to do it like I’m I before we were all remote, I had a great experience because I knew at a sort of slot my meetings and you had to do stuff. And then what happened was when everybody was suddenly remote, they had this unfortunate feeling that they had to fill this time like that. They had to do all these meetings, that they were doing ad hoc and schedule them and schedule them an hour long.

And so all of a sudden, we’re all on Zoom’s together. And look, there’s a huge like we got through it together because we were able to stay connected and do things. But it’s cognitively tiring to be looking at a panel of people for hours at a time. It’s we need to be able to, like, put the lid down on the laptop, sometimes walk around like, well, you got to do that. The whole fun of the hallway track at a conference is that you are going from one place to another and you’re like, you know what, I’m going to be late for this one because I just bumped into this person in the hallway that didn’t exist anymore.

Right. And it’s really, really tough. That’s why I hope we can find this sort of hybrid experience. And now, like, look at what you’re doing. You have now the ability through what you’re doing with Otus to take these measurements with this cohort for the coming years so we can actually then see what the the the downstream benefit are like, what was good and what may be challenges come up relative to previous cohorts, right?

Yeah, that’s inside of like what’s the impact going to be? I think it’s you also hit on some really big points, right? I think we we dealt with this at Otus. You know, the idea of. Yeah, I’m going to schedule an hour meeting. Well, I feel like if you schedule an hour meeting, at first you felt like you had to take the hour meeting, right. Whatever length of time you put the meeting, you just somehow drag it out.

And it’s like, OK, let’s schedule twenty five minute meetings. Let’s or. Let’s not meet let’s see what we can do asynchronously, and I think that’s where we are now, a remote company, and it’s been it’s been an interesting transition. And I think we’re getting better and better where it’s like, OK, we don’t we can do more impromptu things or we can just have, like we call them, hangouts where it’s like drop in if you would like.

But there is no pressure and or no video for a couple of days because you have videos. I used to be pretty good, I’m not I used to be pretty good at reading a room, you know, I did a lot of teaching. I think that’s one of the things you learn really well. You know, again, I had six classes, twenty five kids apiece. So I would be forty minutes a day, six times I would have to read the room.

I felt like I was pretty good at it. I can never read a Zoome room to save my life. I can’t avoid you. I have no idea how it’s going. And so I think that’s really where we can learn. I think teachers, they say like, I don’t know how you could connect with students to the same degree, because I used to tell people I loved holding the door open both for my classroom, but also at Otus, where it’s like that two minute conversation that time in two minutes, that twenty second conversation going in and out of a room.

That’s how you can really bond. Or it’s like that that that side comment you can make where it’s like, I don’t want to announce this to the entire class or the entire resume. I just want to have a little back and forth, you know, how is your kid doing? Or I know you play golf. How’s that going? It’s like, hey, what what’s the latest? It’s like those little tidbits that I don’t think you want to put everybody on public blast.

That’s like a that’s the difference between an icebreaker. We’re all here. Let’s all answer an ice breaker. It’s not the same as like, hey, let’s have like a little side huddle. I used to do that with my my students all the time. Like, we’re going to the side hall. We’re going to talk for two minutes. How’s it going? It’s like such a different energy and connection that is fostered that way. And it’s really something that I really going back to school for students is going to be important.

I think that the engagement was really hard this year in terms of being invested in what was happening for all students. Some are able to some are self-motivated. Some are able to go in there. And I got this. But the idea is, what about for the students who need that nudge or need that connection to be able to push faster? And I think it’s also happening in the workplace. It’s just we’re in we’re in store for some interesting change coming up here.

The the one thing that you bring up, too, is that those holiday conversations and the door opening conversations, especially with students, even if we say like, OK, the Zoome room is for X, right? We’re going to talk about something for an hour. You know, the subject matter. You know the agenda. Sometimes you can slip in and hey, how’s it going. But there’s twenty two people on the on the room with you so it’s harder to have those conversations.

So what do you do. You take it to Slack Wall or the chat area like. Well no, because they especially for students, they need to know that if you say like hey, you know, I know you’ve been struggling like you just sort of catch them in the hallway. You know, if you need any help, just feel you you know, you can come and talk to me or the team and they may at that moment open up or they may come and see you after class.

But they’re less likely to go into the chat area on software to have that open conversation, because there’s always a sense that what I’m saying is being recorded or seen or like and you don’t type like you talk. So it’s you don’t see that. All right.

I think the one example that really comes to mind is I used to always try to pay attention where it’s like, oh, you have a big dance recital, you have a big competition or an art show. You could just be like, oh, how’d it go this weekend? They didn’t have to always say anything. You might just see this like this kind of downward glance or it’s like, oh, that probably didn’t go great. Or you might see the smile of, like, all mad.

It must have went really well. It’s like you miss that and it’s like you don’t want to put it on blast because it’s like. You miss that, right? It’s like, oh, how the Arko go if they just like, take that pause and they’re that momentary, like their shoulders go down and it’s like, oh, man, like like tell me about it. Or it’s like you might have that like they might, but I’m on a slacker on a chat.

Good. It’s like, oh well they’re telling me right then it’s like you’re losing that moment where it’s like how’d it go. And then you could read it and then it’s OK, I’m going to put a pin in that, like maybe there isn’t that opportunity to dove in deep, but maybe the following day it’s like I know it didn’t seem like your art show as well. Do you want to take a minute after class and just talk it out?

It’s like it’s impossible to do that with some of the technologies and that and that’s just unfortunate. It’s no one’s fault. But that’s one of the reasons that I think. In the K-12 experience, it’s why. I really don’t think remote is going to be feasible forever, and I think it was it was a good solution for the situation we were in that was unfortunate and again, a global pandemic. But in really in order to maximize learning, we need to be able to have those connections be built to really be able to unlock that.

And students. And I think that comes from the teacher student relationship. And that’s that’s the piece that to me. Where that’s what I focused a lot of my time on when I was in the classroom, I really wanted to get to know my students. I’ve been lucky enough to stay in touch with several of them, even after I’ve left education and they’re now out of college. It’s like makes me feel very old. But the idea is like that type of connection, it allows them to achieve great things.

And I really. That was what Otus was built to do. It was built to be able to create this collection of information so that you could get to that moment of connection sooner. It’s not going to be done by the system itself. Otus isn’t going to have this machine learning that’s going to unlock every kid for you. But the idea is it’s going to have information to give you a jumpstart on this kid, really into soccer or this kid is all about, damn.

So this kid’s all about Archos or hey, this one’s all about music. Oh, cool. Like that gives me a head instead of me fishing, trying to figure it out. It gives me a head, gives me a jumpstart. And that’s that really can be a huge way to get the connection going.

These are the signals that, like you said, there’s a lot of non-verbal stuff, there’s a lot of things that we experience acutely through the year that you don’t necessarily pass on because it’s like but just like a CRM, you say like, oh, I just found out this guy’s got his kids are going to Brown next year. And, you know, it’s like, see, you you put those things in there and then it becomes a talking point, a reminder later on.

And although it’s in the context of like warming the sales relationship, what it really is, is building a relationship and creating that comfort. One thing that’s interesting that I’ve you is I’m not sure how to even measure it right now that we’ve gone through Zoom and we’re doing digital platforms, there’s a real power of the democratization of it, right. That everybody’s kind of got the same access. We everybody is from the chest up. Right. Like, that’s kind of our view of the world.

But it also takes away things. Because if I were to stand next to you, Chris, I happen to know that you’re a rather tall gentleman. So but you and I looked like we’re about the same height. In fact, I’m a couple inches taller than you on camera. But that doesn’t come through when we’re digital. Right. And one of the fellows I work with, I worked with him for four months through this experience, and I helped him with onboarding things.

And then they showed I saw his picture on LinkedIn and it was the first time I’d ever seen him from the above or below the shoulders. And he mentioned that he was a veteran. And then I found out that he had lost his legs from the middle of his thigh down in in battle. And like that, I don’t know that it’s like plus or minus that that wasn’t discovered. But that’s a very unique and distinct thing that he and I actually had great conversation.

But after the fact. But like, I never would have found that out until I because I only see him from the shoulders up like that. Just it’s a very weird experience now, like especially students. Same thing is like we probably open up opportunity with students, which is positive, but then we take away some of that uniqueness that we can really, like, bring in like nurture and bring into every year as they go through the learning journey.

And I think, as you said, it’s just a it’s a very small glimpse into the world when you’re only doing a zoom as you might, I’m six, seven. I don’t think anybody on this would have any idea that our idea is like there are things that make people unique, that your story about the veteran is very touching and the idea of like that’s who it is. But students express themselves and so many unique ways. And I actually just ran into a former student who’s going to college and he was actually making money being a he was working for Dauda.

Or maybe he was just delivering pizzas for Malnati’s, we eat a lot of Malnati’s cheddar, that is my former coach Malnati, but he was we were talking it was funny because he came up and I came up to my he didn’t know it was me. Like, I thought it could be you because of the name. I’m like, he’s like, oh my. I’m like, how are you doing? In seventh grade he wear shorts every day.

Shorts. He wore the same athletic. It was either blue or black shorts every day, one or the other. And it was funny because he goes, how did that all the way through high school I was like, I’m like, well now you’re pants. It’s like now I’m an adult. And I was laughing because it was like such a small, unique moment. Right. But it was like that perception was like that’s what he wore. There are other people like, you know, I had students who would love to draw one of the things I did for my.

From my classroom was I actually painted my desks with whiteboard paint one year because I really believe that, like doodling and drawing and I had a couple students who. They just would draw the most amazing they just were amazing artists, and it was like I would never have noticed that if were on a zoom, right. Like I would I would never have caught what I’m doing, you know, drawing down here, doing. And it’s like those are the connections that really can unlock that next level.

And I feel like I’m a broken record here, but that’s really how you can. Pushed through the difficulty that can happen, the obstacles, the Blocher’s, you can push through that when you get to know somebody.

And really this is why, like I said, I, I when I saw you come up as a guest, I thought, this is it. You can I’m passionate about the potential for technology to affect human life in some small way every day. Right. That’s I do mentoring. I do lots of things. And I’m using, you know, tech where possible to augment that. And the fact that you’ve literally said I’m going to throw we’re going to throw this awful K-12 experience towards this and measure effectively to empower kids and empower education, then this is something that it’s a long tale to write as a founder.

Sometimes this is not a quick win. So for a lot of folks that are looking like every founder story doesn’t have to be the hockey stick of, you know, I grabbed crabbiness some seed and jumped into a serious AI and I went to 10 million. And we’re like, I wish we can affect human lives in incredible ways by doing this stuff. And this is where technology is such a such an enabler. And I really applaud what you’re doing.

No, I appreciate it. It’s definitely it was hard to leave the classroom, but I definitely do feel like I’m still having an impact on helping teachers do. They’re the most amazing job. I just have so much admiration and and. Just praise for them for what they do on a daily basis, and same with parasite families. I like to say families who are helping with kids are just they’re doing the most difficult task. I’m often at wit’s end with my four, but.

Well, that’s and it’s that’s the thing is we no one’s perfect all the time. Right. And that’s why we can use these things to, like you said, every every kid, every student, every teacher, principal, character, anybody who’s involved in the educational system, they are they can hit those moments. We’re like we’re going to be a little different for the next couple of days because something happened. And the fact that you can take that and sort of bring it through the experience and then because sometimes it’s longer form, right?

Death in the family, you discover something about about a child that’s very positive. That was kind of a hidden treat. And now you can bring that to that next level for them to help them on either side of how it goes. One thing that’s interesting and I know is, of course, you’ve got the the the privacy badges. Like, we didn’t go deep into this and we don’t have to necessarily, but like the data that you’ve got to gather.

I’m curious, Chris, was there any resistance challenges around the fact that you have to be able to collect a certain amount of of potentially personal data as part of this process?

Yeah, so one of the things that was interesting about the whole what data are we going to collect? That’s where, you know, to our previous point in the conversation, that’s where the districts are really deciding. And it’s not our data and it’s really the district’s data and it’s being collected somewhere. So why wouldn’t we collect it in a single place and by collecting stuff that’s already been collected? We haven’t had that. That obstacle has not been as high.

It’s like, why are you collecting this? Well, you already were collecting it. Now we’re going to put it into a place that’s more visible and more transparent. So that’s been helpful. But it does get in conversations. There’s some data that people don’t want to put into because we do believe in. And when I say visibility, it’s visibility to people who have permission to see it. So it’s not just like everyone in the world can see it, but there is this idea of like.

It starts the conversation that’s really important, one of the mistakes I made was I thought everybody would want to be very transparent. I think that one of the things that really can unlock real growth is getting everybody on the same page with the same information. But I think there is. A process to get there. They want to start and say, let’s start with this, let’s problem solve that amount of data. Now let’s get to the next level.

And so we have districts who’ve been with us for several years. They’ve unlocked so much through the time. But it’s also something that’s a progression. You don’t want to just overflow people with like reams and reams of data. So that’s been a conversation. What’s going to be helpful? What’s going to help you problem solve? And we can grow with you. We can grow with you and help you achieve what you want to do.

It’s it is the the good thing is at this point in sort of society’s understanding, I think we’ve like you said, this is data that’s being collected elsewhere anyways. We’re just bringing it and and looking for signals within it to get positive benefit. So I think especially at this range, you know, K to 12 is such an ideal spot where so much growth and learning can happen, the more we can do to speed and empower that. I think very rare cases where people wouldn’t want to know that their data is being held somewhere.

Like you said, it’s it’s not that it’s not being held anywhere. It’s always been somewhere.

And we put we we take it we have we’re part of the data privacy pledges and we would take that very seriously. We want to treat data with the utmost respect and we try to do we try to be on the cutting edge of everything to make it as secure as possible.

Well, you’re on the cutting edge of something fantastic, Chris, it’s been a real pleasure to share time with you and for folks, of course, we’ll have links in the show notes if they want to find out more. So Otus’s ot us dot com. And if anybody wants to reach out to you directly, Chris, and have a chat, what’s the best way that they could do that?

LinkedIn is probably the best way I’m on LinkedIn. Also, my email is pretty easy to figure out. It’s Chris Chris at Otus dot com and I definitely welcome the opportunity to continue learning and appreciate the conversation today. Eric, it’s been absolutely wonderful. You have a terrific podcast. I’ve been lucky enough to subscribe in preparation for this, and you do it well.

Thank you very much. I appreciate that. There you go, folks. This is it. You just learn some incredible lessons, Chris. It’s been a real pleasure.

Thank you very much.